Prefrontal cortex and depression
Open accessAbstract
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in major depressive disorder (MDD). Although functional and structural PFC abnormalities have been reported in both individuals with current MDD as well as those at increased vulnerability to MDD, this information has not translated into better treatment and prevention strategies. Here, we argue that dissecting depressive phenotypes into biologically more tractable dimensions - negative processing biases, anhedonia, despair-like behavior (learned helplessness) - affords unique opportunities for integrating clinical findings with mechanistic evidence emerging from preclinical models relevant to depression, and thereby promises to improve our understanding of MDD. To this end, we review and integrate clinical and preclinical literature pertinent to these core phenotypes, while emphasizing a systems-level approach, treatment effects, and whether specific PFC abnormalities are causes or consequences of MDD. In addition, we discuss several key issues linked to cross-species translation, including functional brain homology across species, the importance of dissecting neural pathways underlying specific functional domains that can be fruitfully probed across species, and the experimental approaches that best ensure translatability. Future directions and clinical implications of this burgeoning literature are discussed.
AI snapshot
Written from the paper’s full text.
TL;DR
This review argues that prefrontal cortex (PFC) dysfunction in major depressive disorder (MDD) is heterogeneous and context-dependent, and that parsing depression into anhedonia, negative processing biases, and learned helplessness/despair can better align clinical and preclinical evidence. It synthesizes human imaging findings with rodent and non-human primate work, emphasizing cross-species translation and treatment effects.
Key findings
- Across reward-processing tasks, MDD is generally linked to blunted ventral/dorsal striatal, pgACC/dACC, and central/medial OFC responses, but hyperactivation in mPFC/vmPFC/sgACC, dlPFC, and lateral OFC to non-rewards; many markers correlate with anhedonia and predict later symptoms. Examples include a voxel-wise meta-analysis comparing 1,399 MDD with 1,332 controls showing increased medial OFC/pgACC ALFF, and the largest structural MRI study (1,902 MDD vs. 7,658 controls) showing thinner ACC and OFC/vmPFC gray matter. In IMAGEN (N = 1,877 at age 14; N = 1,140 at age 19), higher depression severity related to reduced central OFC reward sensitivity and potentiated lateral OFC non-reward responses; in a youth sample (N = 1,576), blunted ventral striatal reward response predicted depression 2 years later, and in children (N = 637), reward-pathway resting connectivity predicted onset 3 years later.
- Negative processing biases in MDD and vulnerability are associated with dlPFC/dACC hypoactivation and pgACC/sgACC/amygdala hyperactivation, plus altered vmPFC–amygdala and dmPFC–amygdala coupling. A meta-analysis of 44 fMRI studies found reduced left dlPFC activation to negative stimuli in MDD, and a meta-analysis of 60 treatment studies found antidepressants decreased middle frontal gyrus/pgACC responses to negative stimuli while increasing rostral vmPFC, dlPFC, and pgACC responses to positive stimuli.
- Learned helplessness/despair has fewer human studies, but PFC regions are implicated in controllability and stressor effects. Rodent work suggests prelimbic cortex promotes active coping while infralimbic cortex promotes passive coping, with ketamine’s delayed effects requiring an intact infralimbic cortex; marmoset studies show area 25 overactivation blunts anticipatory/motivational arousal and increases threat reactivity, while area 14 inactivation increases appetitive arousal, and systemic ketamine can ameliorate area 25-induced reductions.
- Executive dysfunction in MDD involves reduced dACC/dlPFC recruitment and failure to deactivate pgACC/default-mode regions; greater deactivation of anteromedial PFC during working memory predicts better escitalopram response, and greater dmPFC deactivation before ketamine predicts greater cognitive symptom reduction.
Methods
- Narrative, integrative review rather than a systematic review or meta-analysis; the authors synthesize clinical and preclinical literature relevant to selected depressive phenotypes and PFC subregions.
- Human evidence includes fMRI, resting-state functional connectivity, structural MRI, meta-analyses, and large cohorts such as ENIGMA, IMAGEN, and UK Biobank, plus high-risk and remitted samples.
- Preclinical evidence includes rodent chronic stress models and selective PFC/OFC interventions, and non-human primate studies using lesions, inactivations, microstimulation, and ketamine; the main analysis is qualitative cross-species comparison.
Limitations
- The paper states that cross-species translation is limited by uncertain functional homology/analogy, especially for dl/vlPFC regions with no clear rodent counterpart, inconsistent prefrontal nomenclature, symptom complexity, and the difficulty of modeling chronic MDD with acute interventions. It also cautions that forced swim and tail suspension tests may reflect coping or anxiety rather than despair, and that chronic stress models vary in etiology and treatment response.
- The authors state that the review presents a selected summary due to space limitations, not an exhaustive account.
- Evident from the text: as a narrative review, it does not use formal systematic search, risk-of-bias assessment, or quantitative pooling; causal claims rely mainly on animal interventions, while many human findings are correlational.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
194 of 286 cited sources checked · 85 supported · 10 flagged · accuracy not yet measured
- Premisecitation
Studies of the neurobiology of reward processing have identified separate subtypes of anhedonia: consummatory, anticipatory, motivational, and decisional.
“studies of the neurobiology of reward processing have highlighted the variety of distinct pathways involved in its different aspects resulting in the recognition of separate subtypes of anhedonia, including consummatory, anticipatory, motivational and decisional [20,21].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [20] Treadway MT, Zald DH. Reconsidering anhedonia in depression: lessons from translational neuroscience. Neurosci Biobehav Rev. 2011;35:537–55. source
The Research Highlights (section 6; page unavailable) propose motivational and consummatory anhedonia and introduce decisional anhedonia. Section 2.2 discusses anticipatory pleasure but says it is unclear whether that is the same construct as reward motivation; the paper does not establish anticipatory anhedonia as a fourth separate subtype. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [21] Der-Avakian A, Markou A. The neurobiology of anhedonia and other reward-related deficits. Trends Neurosci. 2012;35:68–77. source
The Concluding Remarks distinguish consummatory and anticipatory anhedonia, but recommend limiting the term “anhedonia” to deficits in hedonic capacity. They treat motivation and decision-making as other reward-related processes, not as additional subtypes of anhedonia. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
An early meta-analysis of 64 structural MRI studies reported that frontal regions showed the largest volumetric reductions in major depressive disorder, particularly in the anterior cingulate cortex and bilateral orbitofrontal cortex.
“An early meta-analysis (64 structural MRI studies) reported that frontal regions showed the largest volumetric reductions in MDD [78], particularly in the ACC and bilateral OFC, although distinct subregions were not investigated (see also [79]).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [78] Koolschijn PC, van Haren NE, Lensvelt-Mulders GJ, Hulshoff Pol HE, Kahn RS. Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Hum Brain Mapp. 2009;30:3719–35. source
- cites [79] Gray JP, Müller VI, Eickhoff SB, Fox PT. Multimodal abnormalities of brain structure and function in major depressive disorder: a meta-analysis of neuroimaging studies. Am J Psychiatry. 2020;177:422–34. source
The Results report 97 studies, not 64 structural MRI studies. The Results section on all patients says the gray-matter-volume analysis found no significant region of convergent abnormality, rather than the largest reductions occurring in frontal regions. The Discussion identifies a subgenual anterior cingulate abnormality in the multimodal analysis, but does not report the claimed bilateral orbitofrontal volumetric reductions. Page numbers were not available in our copy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Adolescents with major depressive disorder had lower cortical thickness in the medial orbitofrontal/ventromedial prefrontal cortex and superior frontal gyrus than adolescents without major depressive disorder history.
“Similarly, adolescents with MDD (N = 213) had lower cortical thickness in the medial OFC/vmPFC and superior frontal gyrus than adolescents without MDD history (N = 294) [81].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [81] Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, et al. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry. 2017;22:900–9. source
The Results (Adolescents) report the stated sample sizes and reduced surface area in the left medial OFC and right superior frontal gyrus, but explicitly say no cortical thickness differences were detected between adolescent patients and controls. The claim incorrectly describes the surface-area finding as a cortical-thickness finding. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Asymptomatic offspring of MDD patients showed blunted dlPFC activation and normative amygdalar responses to a sad mood induction.
“Whereas amygdalar hyper-activation to negative faces was reported in a similar offspring sample (mean age: 14 years) [186], the PFC findings contrast with reports of blunted dlPFC activation (and normative amygdalar responses) to fearful faces [187] and a sad mood induction [188] among asymptomatic offspring of MDD patients (16-21 years old and 9-14 years old, respectively).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [188] Joormann J, Cooney RE, Henry ML, Gotlib IH. Neural correlates of automatic mood regulation in girls at high risk for depression. J Abnorm Psychol. 2012;121:61–72. source
The Abstract and Discussion (page not available in our copy) report greater, not normative, amygdala activation in high-risk girls after sad mood induction. They report lower dlPFC activation during the subsequent mood-regulation task, not during induction. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Among MDD subjects, a failure to deactivate the pgACC (and adjacent dmPFC) during cognitive or emotional processing tasks correlated with more depression severity and feelings of hopelessness.
“Among MDD subjects, a failure to deactivate the pgACC (and adjacent dmPFC) during cognitive or emotional processing tasks correlated with more depression severity and feelings of hopelessness [181, 182].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [181] Korgaonkar MS, Grieve SM, Etkin A, Koslow SH, Williams LM. Using standardized fMRI protocols to identify patterns of prefrontal circuit dysregulation that are common and specific to cognitive and emotional tasks in major depressive disorder: first wave results from the iSPOT-D study. Neuropsychopharmacology. 2013;38:863–71. source
The Results section, “Correlation of fMRI With Symptom Severity, Behavioral Data and Across Tasks” (page unavailable), explicitly reports that dmPFC activation patterns did not correlate significantly with current depression severity. The Discussion describes possible failure to deactivate the ACC during cognitive tasks, but the claimed severity correlation is contrary to the reported result; the cited passages do not establish a correlation with hopelessness. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [182] Grimm S, Boesiger P, Beck J, Schuepbach D, Bermpohl F, Walter M, et al. Altered negative BOLD responses in the default-mode network during emotion processing in depressed subjects. Neuropsychopharmacology. 2009;34:843–932. source
- Findingcitation
Depressed individuals, unlike controls, fail to show greater striatal activation to self-attributed vs. externally attributed monetary gains.
“in a task that manipulated the perception of control over monetary rewards or losses, unlike controls, depressed individuals failed to show greater striatal activation to self-attributed vs. externally attributed monetary gains [210].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [210] Späti J, Chumbley J, Doerig N, Brakowski J, Grosse Holtforth M, Seifritz E, et al. Valence and agency influence striatal response to feedback in patients with major depressive disorder. J Psychiatry Neurosci. 2015;40:394–400. source
The Discussion (p. 5) says the altered putamen response in patients concerned self-attributed versus externally attributed losses, and explicitly reports no evidence of an altered ventral striatal response to gains. The simple-effects analysis (p. 5) likewise found no between-group effect for the gains contrast, contrary to the claimed difference from controls for monetary gains. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Ketamine infusion reduced FC between the sgACC and limbic regions (e.g., hippocampus).
“Specifically, ketamine infusion reduced (1) hyperactivation in the sgACC (BA25) to positive feedback [121], (2) FC between the pgACC and dACC [199], and (3) FC between the sgACC and limbic regions (e.g., hippocampus) [121].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [121] Morris LS, Costi S, Tan A, Stern ER, Charney DS, Murrough JW. Ketamine normalizes subgenual cingulate cortex hyper-activity in depression. Neuropsychopharmacology. 2020;45:975–81. source
The Effects of ketamine section explicitly reports no significant change in hippocampus–sgACC connectivity before versus after ketamine (p > 0.05). The Discussion mentions reduced connectivity in a previous study of healthy men, but that is not the finding of this paper’s ketamine cohort. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Findingcitation
In a study using acute restraint stress to induce negative bias, the effectiveness of systemic ketamine to reduce the bias in the ambiguous cue test was dependent upon the mPFC.
“one study employing acute restraint stress to induce a negative bias revealed that the effectiveness of systemic ketamine to reduce such a bias in the ambiguous cue test was dependent upon the mPFC [45]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [45] Hales CA, Robinson ESJ, Houghton CJ. Diffusion modelling reveals the decision making processes underlying negative judgement bias in rats. PLoS One. 2016;11:e0152592. source
The Results (Behavioural results, Fig. 2; page unavailable) report that acute restraint stress did not induce a negative judgement bias: it had no effect on any behavioural measure. The paper tested FG7142 as its acute drug manipulation, not systemic ketamine, and the retrieved passages do not report an mPFC-dependent ketamine effect. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Compared to controls, individuals with major depressive disorder showed increased amplitude of low frequency fluctuations in a region spanning the medial orbitofrontal cortex and perigenual anterior cingulate cortex.
“Compared to controls, individuals with MDD showed increased ALFF in a region spanning the medial orbitofrontal cortex (OFC) and perigenual ACC (pgACC).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [70] Gong J, Wang J, Qiu S, Chen P, Luo Z, Wang J, et al. Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis. Transl Psychiatry. 2020;10:353. https://doi.org/10.1038/s41398-020-01036-5. source
The Results (ALFF differences of the main meta-analysis; page unavailable) report increased ALFF in MDD versus healthy controls in a cluster including the medial orbitofrontal cortex and anterior cingulate cortex. Table 1 places anterior cingulate/paracingulate areas in that cluster, but the paper does not identify them specifically as perigenual ACC. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Increased resting state functional connectivity in the perigenual anterior cingulate cortex predicted response to a variety of treatments including repetitive transcranial magnetic stimulation, pharmacotherapy, cognitive behavior therapy, and electroconvulsive therapy.
“In a coordinate-based meta-analysis [69], increased rsFC in the pgACC predicted response to a variety of treatments (e.g., repetitive transcranial magnetic stimulation (rTMS), pharmacotherapy, cognitive behavior therapy, electroconvulsive therapy (ECT)) (see also [16]).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [69] Long Z, Du L, Zhao J, Wu S, Zheng Q, Lei X. Prediction on treatment improvement in depression with resting state connectivity: a coordinate-based meta-analysis. J Affect Disord. 2020;276:62–68. source
- cites [16] Pizzagalli DA. Frontocingulate dysfunction in depression: toward biomarkers of treatment response. Neuropsychopharmacology. 2011;36:183–206. source
The meta-analysis Results report that higher pretreatment rostral ACC activity predicted better response across several treatments, including drugs and rTMS. They do not establish that increased resting-state functional connectivity predicted response; the paper discusses connectivity as a treatment-associated change instead. The Results also explicitly except ECT from the positive prediction finding and report no pretreatment rACC difference between CBT responders and nonresponders in the cited CBT study. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Even for regions with greater anatomical similarity such as medial prefrontal/anterior cingulate cortex, the extent to which anatomical similarity reflects functional homology or analogy is unclear.
“Indeed, even for those regions where greater anatomical similarity exists (e.g., mPFC/ACC), the extent to which anatomical similarity reflects functional homology or analogy is unclear [9,18].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [9] Roberts A. Prefrontal regulation of threat-elicited behaviors: a pathway to translation. Annu Rev Psychol. 2020;71:357–87. source
- cites [18] Roberts AC, Clarke HF. Why we need nonhuman primates to study the role of ventromedial prefrontal cortex in the regulation of threat- And reward-elicited responses. PNAS. 2019;116:26297–304. source
- Premisecitation
Increases in escape behavior, hypothesized to reflect an antidepressant effect, may reflect instead an increase in anxiety.
“Moreover, increases in escape behavior, hypothesized to reflect an antidepressant effect, may reflect instead an increase in anxiety [55].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [55] Anyan J, Amir S. Too depressed to swim or too afraid to stop? A reinterpretation of the forced swim test as a measure of anxiety-like behavior. Neuropsychopharmacology. 2018;43:931–3. source
- Premisecitation
Relative to healthy children, children at increased vulnerability due to parental major depressive disorder history, as well as children with current major depressive disorder, had lower resting state functional connectivity between the right dorsolateral prefrontal cortex and the amygdala.
“Thus, relative to healthy children (8-17 years old), children at increased vulnerability due to parental MDD history (as well as children with current MDD) had lower rsFC between the right dlPFC (BA6/8/9) and the amygdala [74]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [74] Singh MK, Leslie SM, Packer MM, Weisman EF, Gotlib IH. Limbic intrinsic connectivity in depressed and high-risk youth. J Am Acad Child Adolesc Psychiatry. 2018;57:775–785.e3. source
The Results (Group Differences in Amygdala RSFC; page unavailable) report reduced negative amygdala–right frontal connectivity in both the at-risk and depressed groups relative to healthy youth. However, the measured frontal cluster included the superior and middle frontal gyri and frontal pole (BAs 6, 8, 9, and 32), rather than being identified solely as the right dlPFC. The Participants and Participant Characteristics sections also show that the depressed group included youth with dysthymia or unspecified MDD, so the result was not reported specifically for children with current MDD. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Current major depressive disorder was uniquely characterized by abnormal resting state functional connectivity between various orbital and medial prefrontal cortex sub-regions and prefrontal, subcortical, and cortical regions.
“However, current MDD was uniquely characterized by abnormal rsFC between various orbital and mPFC sub-regions (pgACC, dACC, lateral and central OFC) and PFC (dlPFC), subcortical (e.g., dorsal striatum), as well as cortical (e.g., precuneus, inferior temporal lobes) regions.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [73] Samara Z, Evers EAT, Peeters F, Uylings HBM, Rajkowska G, Ramaekers JG, et al. Orbital and medial prefrontal cortex functional connectivity of major depression vulnerability and disease. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3:348–57. source
- Premisecitation
Evidence indicates preserved consummatory reward in functionally analogous tests such as the sweet taste test in major depressive disorder.
“this has been re-assessed due to evidence indicating preserved consummatory reward in functionally analogous tests (e.g., sweet taste test) in MDD [25,26].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [25] Dichter GS, Smoski MJ, Kampov-Polevoy AB, Gallop R, Garbutt JC. Unipolar depression does not moderate responses to the Sweet Taste Test. Depress Anxiety. 2010;27:859–63. source
- cites [26] Berlin I, Givry-Steiner L, Lecrubier Y, Puech AJ. Measures of anhedonia and hedonic responses to sucrose in depressive and schizophrenic patients in comparison with healthy subjects. Eur Psychiatry. 1998;13:303–9. source
- Premisecitation
Current major depressive disorder and increased risk for major depressive disorder shared several abnormalities, including dysregulated coupling involving the perigenual anterior cingulate cortex, dorsomedial prefrontal cortex, and dorsal anterior cingulate cortex to other cortical regions.
“Current MDD and increased risk for MDD shared several abnormalities, including dysregulated coupling involving the pgACC, dmPFC and dorsal ACC (dACC) to other cortical regions (Fig. 4a).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [73] Samara Z, Evers EAT, Peeters F, Uylings HBM, Rajkowska G, Ramaekers JG, et al. Orbital and medial prefrontal cortex functional connectivity of major depression vulnerability and disease. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3:348–57. source
- Premisecitation
Treatment-resistant depression was characterized by decreased global connectivity within the right dorsolateral prefrontal cortex and bilateral dorsomedial prefrontal cortex, including the dorsal anterior cingulate cortex.
“Treatment-resistant depression (TRD) was characterized by decreased global connectivity within the right dlPFC and bilateral dmPFC (including the dACC) [76].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [76] Abdallah CG, Averill CL, Salas R, Averill LA, Baldwin PR, Krystal JH, et al. Prefrontal connectivity and glutamate transmission: relevance to depression pathophysiology and ketamine treatment. Biol Psychiatry Cogn Neurosci Neuroimaging. 2017;2:566–74. source
The Results section (“GBCr in TRD & Post-ketamine”; page unavailable) reports significantly lower global brain connectivity in bilateral dorsomedial and right dorsolateral prefrontal clusters in TRD patients than in healthy controls. It does not identify the dorsal anterior cingulate cortex as part of those clusters, so the parenthetical detail is not established by our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Ketamine infusion increased global connectivity in the right dorsolateral prefrontal cortex and bilateral dorsomedial prefrontal cortex, including the dorsal anterior cingulate cortex.
“Notably, ketamine infusion increased global connectivity in all three regions.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [76] Abdallah CG, Averill CL, Salas R, Averill LA, Baldwin PR, Krystal JH, et al. Prefrontal connectivity and glutamate transmission: relevance to depression pathophysiology and ketamine treatment. Biol Psychiatry Cogn Neurosci Neuroimaging. 2017;2:566–74. source
The Results section, “GBCr in TRD & Post-ketamine” (page unavailable), identifies three clusters in the bilateral dorsomedial and right dorsolateral prefrontal cortex, but reports a significant increase in their average connectivity 24 hours after treatment—not an increase in each cluster during infusion. The Results section, “GBCr & Glutamate Modulators” (page unavailable), reports increases during infusion in two clusters, in the bilateral dorsomedial and left frontolateral prefrontal cortex. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationcitation
Across studies, over-recruitment of prefrontal cortex regions, including medial prefrontal cortex and dorsolateral prefrontal cortex, during reward processing has been interpreted as suggesting over-compensation for reduced striatal responses to rewards.
“Across studies, over-recruitment of PFC regions (mPFC, dlPFC) during reward processing has been interpreted as suggesting over-compensation for reduced striatal responses to rewards [104, 111, 112].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [104] O’Callaghan G, Stringaris A. Reward processing in adolescent depression across neuroimaging modalities: a review. Z Kinder Jugendpsychiatr Psychother. 2019;47:535–41. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [111] Forbes EE, Hariri AR, Martin SL, Silk JS, Moyles DL, Fisher PM, et al. Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder. Am J Psychiatry. 2009;166:64–73. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [112] Pan PM, Sato JR, Salum GA, Rohde LA, Gadelha A, Zugman A, et al. Ventral striatum functional connectivity as a predictor of adolescent depressive disorder in a longitudinal community-based sample. Am J Psychiatry. 2017;174:1112–9. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
Recent meta-analyses have yielded surprisingly few structural abnormalities linked to major depressive disorder.
“First, recent meta-analyses have yielded surprisingly few structural abnormalities linked to MDD [79].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [79] Gray JP, Müller VI, Eickhoff SB, Fox PT. Multimodal abnormalities of brain structure and function in major depressive disorder: a meta-analysis of neuroimaging studies. Am J Psychiatry. 2020;177:422–34. source
- Premisecitation
In some studies, blunted ventral striatal activation to rewards correlated with anhedonic symptoms.
“In some studies, blunted ventral striatal activation to rewards correlated with anhedonic symptoms [102].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [102] Borsini A, Wallis ASJ, Zunszain P, Pariante CM, Kempton MJ. Characterizing anhedonia: a systematic review of neuroimaging across the subtypes of reward processing deficits in depression. Cogn Affect Behav Neurosci. 2020;20:816–41. source
- Premisecitation
Relative to healthy children, children aged 7-12 years with a history of preschool-onset depression had thinner right subgenual anterior cingulate cortex cortical thickness.
“Thus, relative to healthy children, children (7-12 years) with a history of preschool-onset depression (age of onset: 3-6 years) had thinner right sgACC cortical thickness [85].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [85] Marrus N, Belden A, Nishino T, Handler T, Tilak Ratnanather J, Miller M, et al. Ventromedial prefrontal cortex thinning in preschool-onset depression. J Affect Disord. 2015;180:79–86. source
The Methods report imaging at ages 7–12, and the Results (Specificity to PO-MDD) find significantly thinner right VMPFC in children with preschool-onset depression than in healthy children. The Introduction describes the subgenual region as one component of the VMPFC, but the reported thickness result is for the VMPFC as a whole, not specifically the right sgACC. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
In a 5-year prospective study of never-depressed daughters aged 10-15 with a mother with depression, lower cortical thickness in the right medial orbitofrontal/ventromedial prefrontal cortex and larger perigenual anterior cingulate cortex cortical thickness emerged as two of the top three neural features predicting the first episode of major depressive disorder.
“Specifically, lower cortical thickness in the right medial OFC/vmPFC (but larger pgACC cortical thickness) emerged as two of the top three neural features predicting the first episode of MDD [87].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [87] Foland-Ross LC, Sacchet MD, Prasad G, Gilbert B, Thompson PM, Gotlib IH. Cortical thickness predicts the first onset of major depression in adolescence. Int J Dev Neurosci. 2015;46:125–31. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
Accompanying behavioral changes in chronic stress models are marked physiological and structural alterations in the amygdala, hippocampus, and prefrontal cortex that are similar to those seen in major depressive disorder.
“Accompanying these behavioral changes are marked physiological and structural alterations, not only in the amygdala and hippocampus but, importantly, the PFC [98,99], that are similar to those seen in MDD.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [98] McEwen BS, Morrison JH. The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron. 2013;79:16–29. source
The “Effects of Stress on Prefrontal Cortex” section says repeated stress causes functional and structural changes in the PFC, amygdala, and hippocampus. “Relevance to human vulnerabilities and potential for brain plasticity” describes frontal-cortex and hippocampal changes in depressed individuals, but does not establish that the alterations across all three regions are similar to those in MDD. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [99] McEwen BS, Nasca C, Gray JD. Stress effects on neuronal structure: hippocampus, amygdala, and prefrontal cortex. Neuropsychopharmacology. 2016;41:3–23. source
The section on sex differences after puberty reports depressive-like behavior alongside chronic-stress-induced remodeling of the hippocampus, PFC, and amygdala; the PFC section also describes structural remodeling after chronic stress. The copy discusses findings in depressed people for the hippocampus, but the passages do not establish that the alterations across all three regions are similar to those seen in MDD. Page numbers were not available in the indexed passages. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Electroconvulsive therapy treatment was associated with increased cortical thickness across the prefrontal cortex, including dorsolateral prefrontal cortex, and dorsal anterior cingulate cortex.
“Similarly, ECT treatment was associated with increased cortical thickness across PFC (dlPFC) and dACC [89].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [89] Pirnia T, Joshi SH, Leaver AM, Vasavada M, Njau S, Woods RP, et al. Electroconvulsive therapy and structural neuroplasticity in neocortical, limbic and paralimbic cortex. Transl Psychiatry. 2016;6:e832. https://doi.org/10.1038/tp.2016.102. source
- Premisecitation
Chronic stress over a period of days to weeks induces a variety of depression-related symptoms in rodents, including behavioral despair, blunted reward-related behaviors, negative biases, and cognitive dysfunction.
“Chronic stress (e.g., social defeat, restraint stress, unpredictable mild stress) over a period of days to weeks induces a variety of depression-related symptoms (Fig. 3, top right-hand panel), including behavioral despair, blunted reward-related behaviors, negative biases and cognitive dysfunction [67,92].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [67] Gururajan A, Reif A, Cryan JF, Slattery DA. The future of rodent models in depression research. Nat Rev Neurosci. 2019;20:686–701. source
- cites [92] Willner P. The chronic mild stress (CMS) model of depression: history, evaluation and usage. Neurobiol Stress. 2017;6:78–93. source
The Introduction reports that unpredictable mild stress in rats and mice reduces reward-related behavior over weeks, and the Validity section reports cognitive impairments following CMS. The paper does not establish negative biases or behavioral despair as outcomes, and its account of CMS does not support the sentence’s broader grouping of social defeat and restraint stress with unpredictable mild stress. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
In the largest structural MRI study, relative to controls, adults with major depressive disorder showed thinner cortical gray matter in the anterior cingulate cortex, spanning subgenual, perigenual, and dorsal regions, and in the orbitofrontal/ventromedial prefrontal cortex.
“In the largest ever conducted structural MRI study, relative to controls (N = 7658), adults with MDD (N = 1902) showed thinner cortical gray matter in the ACC (with reduction spanning subgenual, perigenual and dorsal regions) and OFC/ vmPFC [81].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [81] Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, et al. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry. 2017;22:900–9. source
The Results (Adults; page unavailable) report thinner cortex in 1,902 adults with MDD than in 7,658 controls, including the medial OFC, rostral ACC and right caudal ACC. The Discussion (Cortical thickness; page unavailable) says the medial OFC atlas region contains the subgenual ACC, but does not establish thinning separately across subgenual, perigenual and dorsal ACC regions as the claim states. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Decreased right subgenual anterior cingulate cortex cortical thickness at age 7-12 was predicted by depression severity at age 3-6 and age 7-12.
“Importantly, decreased right sgACC cortical thickness at age 7-12 was predicted by depression severity at age 3-6 (and age 7-12).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [85] Marrus N, Belden A, Nishino T, Handler T, Tilak Ratnanather J, Miller M, et al. Ventromedial prefrontal cortex thinning in preschool-onset depression. J Affect Disord. 2015;180:79–86. source
The Results (PO-MDD Severity in Relation to VMPFC Thickness; page unavailable) report that preschool depression severity predicted thinner right ventromedial prefrontal cortex (VMPFC) at school age. School-age severity was associated with thickness when tested without preschool severity, but was not a significant predictor when both were included. The paper measured the broader VMPFC, not cortical thickness specifically in the subgenual anterior cingulate cortex. (LLM, conf=0.91)
Experimental — accuracy not yet measured
- Premisecitation
In the UK Biobank sample, polygenic risk for anhedonia was linked to smaller orbitofrontal cortex volumes.
“Fitting this, in the UK Biobank sample, polygenic risk for anhedonia was linked to smaller OFC volumes [84].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [84] Ward J, Lyall LM, Bethlehem RAI, Ferguson A, Strawbridge RJ, Lyall DM, et al. Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure. Transl Psychiatry. 2019;9:327. https://doi.org/10.1038/s41398-019-0635-y. source
- Premisecitation
In general, blunted striatal activation coupled with over-recruitment of prefrontal cortex regions including the dorsolateral prefrontal cortex during reward outcome has emerged.
“In general, blunted striatal activation coupled with over-recruitment of PFC regionsincluding the dlPFC during reward outcomehas emerged [104].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [104] O’Callaghan G, Stringaris A. Reward processing in adolescent depression across neuroimaging modalities: a review. Z Kinder Jugendpsychiatr Psychother. 2019;47:535–41. source
- Premisecitation
Reduction in depressive symptoms after left dorsolateral prefrontal cortex repetitive transcranial magnetic stimulation treatment was associated with increases in perigenual anterior cingulate cortex thickness.
“Finally, reduction in depressive symptoms after left dlPFC rTMS treatment was associated with increases in pgACC thickness (Fig. 4b) [90].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [90] Boes AD, Uitermarkt BD, Albazron FM, Lan MJ, Liston C, Pascual-Leone A, et al. Rostral anterior cingulate cortex is a structural correlate of repetitive TMS treatment response in depression. Brain Stimul. 2018;11:575–81. source
- Premisecitation
MDD is linked to blunted RPE in the ventral and dorsal striatum.
“These studies have generally linked MDD to blunted RPE in the ventral and dorsal striatum [122-124] (but see [125,126] for important lack of replication), pgACC [127] and medial OFC [126], and greater RPE in the ventral striatum predicted reductions in anhedonia 6 months later [128].”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [122] Kumar P, Waiter G, Ahearn T, Milders M, Reid I, Steele JD. Abnormal temporal difference reward-learning signals in major depression. Brain. 2008;131:2084–93. source
- cites [123] Kumar P, Goer F, Murray L, Dillon DG, Beltzer ML, Cohen AL, et al. Impaired reward prediction error encoding and striatal-midbrain connectivity in depression. Neuropsychopharmacology. 2018;43:1581–8. source
The Results (ROI analyses; page unavailable) report blunted RPE in the right striatum of unmedicated participants with MDD, but not in the left striatum. The whole-brain analyses identify RPE signals in the right putamen and nucleus accumbens in controls, but do not establish separate group differences for dorsal and ventral striatum. Thus the source supports the broad striatal claim, not the claim at that anatomical specificity. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [124] Gradin VB, Kumar P, Waiter G, Ahearn T, Stickle C, Milders M, et al. Expected value and prediction error abnormalities in depression and schizophrenia. Brain. 2011;134:1751–64. source
- Premisecitation
Increased rsFC between vlPFC and dorsal striatum has been reported in resting state studies.
“Of relevance, disrupted coupling within reward-related corticostriatal pathways has emerged also from resting state studies, with reports of increased rsFC between (1) vlPFC and dorsal striatum [135], and (2) dmPFC and various striatal regions [136].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [135] Kerestes R, Harrison BJ, Dandash O, Stephanou K, Whittle S, Pujol J, et al. Specific functional connectivity alterations of the dorsal striatum in young people with depression. NeuroImage Clin. 2015;7:266–72. source
- Premisecitation
Among TRD patients, sgACC hyper-activation to positive feedback correlated with more anticipatory anhedonia (but not anxiety symptoms).
“Finally, among TRD patients, sgACC hyper-activation to positive feedback correlated with more anticipatory anhedonia (but not anxiety symptoms) [121].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [121] Morris LS, Costi S, Tan A, Stern ER, Charney DS, Murrough JW. Ketamine normalizes subgenual cingulate cortex hyper-activity in depression. Neuropsychopharmacology. 2020;45:975–81. source
The Participants results report that sgACC activation to positive feedback correlated with worse anticipatory anhedonia, but not anxiety. However, the correlation was calculated across the full sample of depressed patients and healthy controls, not specifically among TRD patients. The Participants and procedures section does not establish treatment resistance as a criterion for that cohort. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Greater RPE in the ventral striatum predicted reductions in anhedonia 6 months later.
“These studies have generally linked MDD to blunted RPE in the ventral and dorsal striatum [122-124] (but see [125,126] for important lack of replication), pgACC [127] and medial OFC [126], and greater RPE in the ventral striatum predicted reductions in anhedonia 6 months later [128].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [128] Eckstrand KL, Forbes EE, Bertocci MA, Chase HW, Greenberg T, Lockovich J, et al. Anhedonia reduction and the association between left ventral striatal reward response and 6-month improvement in life satisfaction among young adults. JAMA Psychiatry. 2019;76:958–65. source
- Premisecitation
In MDD, reduced approach-related dlPFC activation correlated with increasing perceived stress.
“In MDD, reduced approach-related dlPFC activation correlated with increasing perceived stress.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [42] Ironside M, Amemori KI, McGrath CL, Pedersen ML, Kang MS, Amemori S, et al. Approach-avoidance conflict in major depressive disorder: congruent neural findings in humans and nonhuman primates. Biol Psychiatry. 2020;87:399–408. source
The Discussion reports reduced approach-related DLPFC activation in MDD. However, the correlation with higher perceived stress is reported for DLPFC activation during non-conflict trials, not specifically for approach-related activation (Results, Imaging Results; page not provided). (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
NMDA infusions into ILc reduced spontaneous firing of DA neurons in the medial VTA.
“Consistent with the latter, NMDA infusions into ILc reduced spontaneous firing of DA neurons in the medial VTA [139].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [139] Moreines JL, Owrutsky ZL, Grace AA. Involvement of infralimbic prefrontal cortex but not lateral habenula in dopamine attenuation after chronic mild stress. Neuropsychopharmacology. 2017;42:904–13. source
- Premisecitation
In a wheel-of-fortune task, adults with MDD showed greater activation to wins in the left inferior frontal gyrus (BA9/45) than controls.
“In studies using a “wheel-offortune” task, which involves making choices about varying amounts of monetary rewards with varying levels of risk, adults with MDD showed greater left OFC activation but reduced pgACC activation during the selection phase relative to controls; in addition, they showed greater activation to wins in the left inferior frontal gyrus (BA9/45) than controls [132].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [132] Smoski MJ, Felder J, Bizzell J, Green SR, Ernst M, Lynch TR, et al. fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder. J Affect Disord. 2009;118:69–78. source
- Premisecitation
Prolonged ILc pyramidal stimulation for 60 min mirrored the putative antidepressant effects of ketamine on sucrose preference.
“In contrast, prolonged ILc pyramidal stimulation for 60 min mirrored the putative antidepressant effects of ketamine on sucrose preference, while neuronal silencing of ILc (and not PLc), using the GABA-A agonist, muscimol, blocked the actions of ketamine, 24 h later [63].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [63] Fuchikami M, Thomas A, Liu R, Wohleb ES, Land BB, DiLeone RJ, et al. Optogenetic stimulation of infralimbic PFC reproduces ketamine’s rapid and sustained antidepressant actions. Proc Natl Acad Sci USA. 2015;112:8106–8111. source
Methods and Materials specify 60 minutes of optical stimulation, and the Fig. 4 caption reports a significant sucrose-preference effect. The Optogenetic Stimulation results qualify that finding: the increase was small and occurred with bilateral IL-PFC stimulation, not unilateral stimulation. The Neuronal Inactivation results also support the citing sentence’s separate point that IL, but not PrL, muscimol infusion blocked ketamine’s behavioral effects assessed 24 hours later. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
sgACC hyper-activation to positive (but not negative) incentives was normalized (decreased) by a single ketamine infusion.
“Importantly, sgACC hyper-activation to positive (but not negative) incentives was normalized (decreased) by a single ketamine infusion.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [121] Morris LS, Costi S, Tan A, Stern ER, Charney DS, Murrough JW. Ketamine normalizes subgenual cingulate cortex hyper-activity in depression. Neuropsychopharmacology. 2020;45:975–81. source
- Premisecitation
In a community-based sample, increasing depressive symptoms were related to blunted reward signal magnitude in the nucleus accumbens and caudal vmPFC.
“Moreover, in a community-based sample (N = 475) tested with a probabilistic reward learning task, increasing depressive symptoms were related to blunted (1) directional connectivity from the mPFC to the striatum, (2) RPE in the dACC, and (3) reward signal magnitude in the nucleus accumbens and caudal vmPFC [129].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [129] Rupprechter S, Romaniuk L, Series P, Hirose Y, Hawkins E, Sandu AL, et al. Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression. Brain. 2020;143:1946–56. source
The Results (General linear model voxel-based functional MRI analyses; page unavailable) link higher depressive symptoms to reduced reward activation in the striatum, supporting the nucleus accumbens portion. They report vmPFC reward activation across participants, but do not report a depressive-symptom-related reduction in reward signal magnitude in the caudal vmPFC; the separate mPFC finding concerns RPE encoding. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
In a community-based sample, increasing depressive symptoms were related to blunted directional connectivity from the mPFC to the striatum.
“Moreover, in a community-based sample (N = 475) tested with a probabilistic reward learning task, increasing depressive symptoms were related to blunted (1) directional connectivity from the mPFC to the striatum, (2) RPE in the dACC, and (3) reward signal magnitude in the nucleus accumbens and caudal vmPFC [129].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [129] Rupprechter S, Romaniuk L, Series P, Hirose Y, Hawkins E, Sandu AL, et al. Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression. Brain. 2020;143:1946–56. source
- Premisecitation
Increased rsFC between dmPFC and various striatal regions has been reported in resting state studies.
“Of relevance, disrupted coupling within reward-related corticostriatal pathways has emerged also from resting state studies, with reports of increased rsFC between (1) vlPFC and dorsal striatum [135], and (2) dmPFC and various striatal regions [136].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [136] Gabbay V, Ely BA, Li Q, Bangaru SD, Panzer AM, Alonso CM, et al. Striatum-based circuitry of adolescent depression and anhedonia. J Am Acad Child Adolesc Psychiatry. 2013;52:628–.e13. source
- Premisecitation
In a community-based sample of 6-12 years children, rsFC strength between the ventral striatum and other reward-related regions (vmPFC, dACC, VTA) predicted the new onset of depressive disorder 3 years later.
“Critically, in a community-based sample of 6-12 years children (N = 637), rsFC strength between the ventral striatum and other reward-related regions (vmPFC, dACC, VTA) predicted the new onset of depressive disorder 3 years later [112].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [112] Pan PM, Sato JR, Salum GA, Rohde LA, Gadelha A, Zugman A, et al. Ventral striatum functional connectivity as a predictor of adolescent depressive disorder in a longitudinal community-based sample. Am J Psychiatry. 2017;174:1112–9. source
- Premisecitation
In one case of ILc, its inactivation selectively blocked the effects of chronic mild stress on reward-related dopamine activity.
“In one case of ILc, its inactivation selectively blocked the effects of chronic mild stress on reward-related dopamine activity [139].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [139] Moreines JL, Owrutsky ZL, Grace AA. Involvement of infralimbic prefrontal cortex but not lateral habenula in dopamine attenuation after chronic mild stress. Neuropsychopharmacology. 2017;42:904–13. source
- Premisecitation
This metric did not predict the emergence of ADHD, anxiety or substance abuse over the same time period.
“Highlighting specificity, this metric did not predict the emergence of ADHD, anxiety or substance abuse over the same time period.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [112] Pan PM, Sato JR, Salum GA, Rohde LA, Gadelha A, Zugman A, et al. Ventral striatum functional connectivity as a predictor of adolescent depressive disorder in a longitudinal community-based sample. Am J Psychiatry. 2017;174:1112–9. source
The Results (Specificity Analyses) report that left ventral striatum node strength was not associated with anxiety disorders, ADHD, or any substance use at the three-year follow-up. The paper measured any reported alcohol, tobacco, or drug use—not a diagnosis of substance abuse—so that part of the claim is more specific than the evidence supports. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Relative to controls, unmedicated adults with MDD were less sensitive to reward.
“Relative to controls, unmedicated adults with MDD were less sensitive to reward.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [42] Ironside M, Amemori KI, McGrath CL, Pedersen ML, Kang MS, Amemori S, et al. Approach-avoidance conflict in major depressive disorder: congruent neural findings in humans and nonhuman primates. Biol Psychiatry. 2020;87:399–408. source
- Premisecitation
In a community-based sample, increasing depressive symptoms were related to blunted RPE in the dACC.
“Moreover, in a community-based sample (N = 475) tested with a probabilistic reward learning task, increasing depressive symptoms were related to blunted (1) directional connectivity from the mPFC to the striatum, (2) RPE in the dACC, and (3) reward signal magnitude in the nucleus accumbens and caudal vmPFC [129].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [129] Rupprechter S, Romaniuk L, Series P, Hirose Y, Hawkins E, Sandu AL, et al. Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression. Brain. 2020;143:1946–56. source
The Results (General linear model voxel-based functional MRI analyses; page unavailable) link higher depressive symptoms to decreased RPE signal encoding in the midbrain/ventral tegmental area and mPFC. They do not identify the dACC as a region with blunted RPE encoding, so the claimed location is not supported. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Imaging studies in children and adolescents with MDD have highlighted blunted ventral striatal activation during reward anticipation, often accompanied by over-recruitment of PFC regions (e.g., pgACC/vmPFC).
“Imaging studies in children and adolescents with MDD have also highlighted blunted ventral striatal activation during reward anticipation, which was often accompanied by over-recruitment of PFC regions (e.g., pgACC/vmPFC) [104].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [104] O’Callaghan G, Stringaris A. Reward processing in adolescent depression across neuroimaging modalities: a review. Z Kinder Jugendpsychiatr Psychother. 2019;47:535–41. source
The Functional MRI Findings section reports reduced caudate activation during reward anticipation in children and adolescents with MDD, as well as greater medial prefrontal activity during anticipation in depressed adolescents. But it says youth findings were primarily in the bilateral caudate, with more ventral reductions seen in adults. It does not establish that pgACC/vmPFC over-recruitment often accompanied the reduced activation in the same young patients (page unavailable in our copy). (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Inhibitory (1 Hz) TMS over the right OFC in TRD was associated with a 30% response rate.
“Building on this evidence, the same group recently showed that inhibitory (1 Hz) TMS over the right OFC in TRD was associated with a 30% response rate [118].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [118] Feffer K, Fettes P, Giacobbe P, Daskalakis ZJ, Blumberger DM, Downar J. 1 Hz rTMS of the right orbitofrontal cortex for major depression: Safety, tolerability and clinical outcomes. Eur Neuropsychopharmacol. 2018;28:109–17. source
- Premisecitation
Deficient recruitment of PFC (particularly dlPFC) regions has been coupled with hyperactivity in paralimbic (e.g., pgACC, sgACC) and limbic (e.g., amygdala) regions critically implicated in automatic processing of emotional cues.
“Of note, deficient recruitment of PFC (particularly, dlPFC) regions has been coupled with hyperactivity in paralimbic (e.g., pgACC, sgACC) and limbic (e.g., amygdala) regions critically implicated in automatic processing of emotional cues (for review, see [16,157]).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [16] Pizzagalli DA. Frontocingulate dysfunction in depression: toward biomarkers of treatment response. Neuropsychopharmacology. 2011;36:183–206. source
- cites [157] Stuhrmann A, Suslow T, Dannlowski U. Facial emotion processing in major depression: a systematic review of neuroimaging findings. Biol Mood Anxiety Disord. 2011;1:1–10. source
The Results (Connectivity results; page unavailable) report reduced amygdala–DLPFC connectivity, while the Discussion (Abnormal ACC and OFC activity; page unavailable) describes hyperactivation of the subgenual ACC. The review also supports amygdala hyperactivity during negative-face processing, but its Results (Abnormal frontal activity; page unavailable) say DLPFC activation findings are inconsistent, so they do not establish deficient DLPFC recruitment as a general pattern. The supplied passages do not establish hyperactivity of the pgACC. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Area 25 activity positively correlates with cortisol levels during anxiety-provoking contexts in macaques.
“Consistent with the latter is the finding that area 25 activity positively correlates with cortisol levels during anxiety-provoking contexts in macaques [143].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [143] Jahn AL, Fox AS, Abercrombie HC, Shelton SE, Oakes TR, Davidson RJ, et al. Subgenual PFC Activity Predicts Individual Differences in HPA Activity Across Different Contexts. Biol Psychiatry 2010;67:175–81. source
- Premisecitation
Consummatory responses, including behavioral and cardiovascular arousal during reward consumption itself and performance on a sucrose preference test, remained relatively unaffected by area 25 overactivation.
“In contrast, consummatory responses, including behavioral and cardiovascular arousal during reward consumption itself and performance on a sucrose preference test remained relatively unaffected.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] Alexander L, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, Cockcroft GJ, et al. Fractionating blunted reward processing characteristic of anhedonia by over-activating primate subgenual anterior cingulate cortex. Neuron. 2019;101:307–320.e6. source
- Premisecitation
Hyperactivation of, or a failure to deactivate, the pgACC has been reported in MDD across disparate affective tasks.
“Similarly, hyperactivation of, or a failure to deactivate, the pgACC has been reported in MDD across disparate affective tasks [16,179], including (1) affective evaluation and cognitive reappraisal of negative stimuli; (2) self-referential processing of negative attributes; (3) inhibition of negative words; and in response to (4) sad words and commission errors.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [16] Pizzagalli DA. Frontocingulate dysfunction in depression: toward biomarkers of treatment response. Neuropsychopharmacology. 2011;36:183–206. source
- cites [179] Jaworska N, Yang XR, Knott V, Macqueen G. A review of fMRI studies during visual emotive processing in major depressive disorder. World J Biol Psychiatry. 2015;16:448–71. source
- Premisecitation
Relative to healthy controls, individuals with MDD showed reduced dlPFC activation during tasks involving matching negative facial expressions, presenting negative stimuli, requiring to ignore negative faces, or inducing emotional interference.
“Relative to healthy controls, individuals with MDD showed reduced dlPFC activation during tasks involving matching negative facial expressions [159], presenting negative stimuli [156, 160], requiring to ignore negative faces [161], or inducing emotional interference [162].”
Quote in the paperSubstantial claim3 of 4 sources checked- cites [159] Zhong M, Wang X, Xiao J, Yi J, Zhu X, Liao J, et al. Amygdala hyperactivation and prefrontal hypoactivation in subjects with cognitive vulnerability to depression. Biol Psychol. 2011;88:233–42. source
- cites [156] Fitzgerald PB, Laird AR, Maller J, Daskalakis ZJ. A meta-analytic study of changes in brain activation in depression. Hum Brain Mapp. 2008;29:683–95. source
The Discussion (page unavailable) identifies the middle frontal gyrus as DLPFC and reports a relative lack of activation during induction of negative affect in patients with MDD. That supports the claim for negative stimuli generally, but the paper does not establish reduced DLPFC activation for each specified task—matching negative facial expressions, ignoring negative faces, or inducing emotional interference. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [160] Wang L, LaBar KS, Smoski M, Rosenthal MZ, Dolcos F, Lynch TR, et al. Prefrontal mechanisms for executive control over emotional distraction are altered in major depression. Psychiatry Res. 2008;163:143–55. source
The Results (§3.2; page unavailable) report reduced activation to attentional targets and greater deactivation to sad distractors in MDD, including in the middle frontal gyrus, during an emotional-distraction task. But for targets following sad distractors—the comparison that isolates emotional interference—the Results report increased, not reduced, middle frontal gyrus activation in MDD relative to controls. Thus the citation supports the broader task-level finding but not an unqualified reduction during the interference-specific condition. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [161] Fales CL, Barch DM, Rundle MM, Mintun MA, Snyder AZ, Cohen JD, et al. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol Psychiatry. 2008;63:377–84. source
- Premisecitation
Area 25 over-activation enhanced responsivity to both uncertain threat and Pavlovian conditioned, certain threat.
“Its over-activation not only blunted appetitive processing but also enhanced responsivity to both uncertain threat and Pavlovian conditioned, certain threat [144], consistent with the high comorbidity of anxiety with MDD [145, 146]; but inconsistent with the role of ILc in inhibiting conditioned fear responses in rats [147].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [144] Alexander L, Wood CM, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, et al. Over-activation of primate subgenual cingulate cortex enhances the cardiovascular, behavioral and neural responses to threat. Nat Commun 2020;11:1–14. source
- Premisecitation
Current MDD-but not familial MDD risk-was associated with potentiated medial OFC activation to negative faces.
“Additionally, current MDDbut not familial MDD riskwas associated with potentiated medial OFC activation to negative faces.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [163] Opel N, Redlich R, Grotegerd D, Dohm K, Zaremba D, Meinert S, et al. Prefrontal brain responsiveness to negative stimuli distinguishes familial risk for major depression from acute disorder. J Psychiatry Neurosci. 2017;42:343–52. source
- Premisecitation
Relative to control children (8-14 years), unaffected high-risk children (due to parental depression) showed higher responses to fearful vs. neutral faces in the dlPFC (BA10/46) and amygdala.
“Relative to control children (8-14 years), unaffected high-risk children (due to parental depression) showed higher responses to fearful vs. neutral faces in the dlPFC (BA10/46) and amygdala [185].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [185] Chai XJ, Hirshfeld-Becker D, Biederman J, Uchida M, Doehrmann O, Leonard JA, et al. Functional and structural brain correlates of risk for major depression in children with familial depression. NeuroImage Clin. 2015;8:398–407. source
The Methods (Participants; page unavailable) identify children aged 8–14 with parental depression and age-matched controls. The Results (fMRI results; page unavailable) report greater fearful-versus-neutral activation in the at-risk group, including the amygdala and a middle prefrontal region. Our copy does not identify that prefrontal finding specifically as dlPFC (BA10/46), so that anatomical detail is unsupported. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Reduced FC between dmPFC regions (superior (BA6) and medial (BA10) frontal gyrus) and the amygdala was observed in healthy first-degree relatives of MDD patients during an implicit emotional processing task involving presentation of negative faces.
“Reduced FC between dmPFC regions (superior (BA6) and medial (BA10) frontal gyrus) and the amygdala was observed in healthy first-degree relatives of MDD patients during an implicit emotional processing task involving presentation of negative faces (Fig. 4f) [189].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [189] Wackerhagen C, Wüstenberg T, Mohnke S, Erk S, Veer IM, Kruschwitz JD, et al. Influence of familial risk for depression on cortico-limbic connectivity during implicit emotional processing. Neuropsychopharmacology. 2017;42:1729–38. source
- Premisecitation
Neuronal silencing of ILc (and not PLc) using muscimol blocked the actions of ketamine 24 h later.
“In contrast, prolonged ILc pyramidal stimulation for 60 min mirrored the putative antidepressant effects of ketamine on sucrose preference, while neuronal silencing of ILc (and not PLc), using the GABA-A agonist, muscimol, blocked the actions of ketamine, 24 h later [63].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [63] Fuchikami M, Thomas A, Liu R, Wohleb ES, Land BB, DiLeone RJ, et al. Optogenetic stimulation of infralimbic PFC reproduces ketamine’s rapid and sustained antidepressant actions. Proc Natl Acad Sci USA. 2015;112:8106–8111. source
- Premisecitation
Relative to young adults without a family history of MDD, the high-risk group was characterized by increased task-related FC between vmPFC regions (sgACC (BA25) and pgACC (BA24/32)) and the amygdala.
“Notably, relative to young adults without a family history of MDD, the high-risk group was also characterized by increased task-related FC between vmPFC regions (sgACC (BA25) and pgACC (BA24/32)) and the amygdala [189].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [189] Wackerhagen C, Wüstenberg T, Mohnke S, Erk S, Veer IM, Kruschwitz JD, et al. Influence of familial risk for depression on cortico-limbic connectivity during implicit emotional processing. Neuropsychopharmacology. 2017;42:1729–38. source
- Premisecitation
In an emotional face-matching paradigm, currently depressed adults (as well as unaffected first-degree relatives of individuals with MDD) showed reduced dlPFC activation to negative faces compared to controls without familial risk.
“In an emotional face-matching paradigm, currently depressed adults (as well as unaffected firstdegree relatives of individuals with MDD) showed reduced dlPFC activation to negative faces compared to controls without familial risk [163].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [163] Opel N, Redlich R, Grotegerd D, Dohm K, Zaremba D, Meinert S, et al. Prefrontal brain responsiveness to negative stimuli distinguishes familial risk for major depression from acute disorder. J Psychiatry Neurosci. 2017;42:343–52. source
- Premisecitation
Area 14 in the medial OFC/caudal vmPFC appears more important for comparing values of alternative options.
“Conversely, area 14 in the medial OFC/caudal vmPFC appears more important for comparing values of alternative options.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [115] Murray EA, Rudebeck PH. Specializations for reward-guided decision-making in the primate ventral prefrontal cortex. Nat Rev Neurosci. 2018;19:404–17. source
The ‘Medial versus lateral orbitofrontal cortex’ section says the medial OFC seems important for choices based on value comparisons, and describes impaired choices after medial OFC lesions. The paper does not specifically assign that function to area 14; its anatomy section identifies area 14 as a subdivision of the OFC without establishing the narrower functional claim. Page numbers were not available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [150] Zhou J, Gardner MP, Schoenbaum G. Is the core function of orbitofrontal cortex to signal values or make predictions?. Curr Opin Behav Sci. 2021;41:1–9. source
The Introduction’s “Neural correlates of value in the OFC” section describes OFC activity associated with the values of goods on offer. It does not identify area 14 or say that this region is more important for comparing options. The “OFC is required for model-based value computation” section also reports that medial OFC inactivation did not affect choice behavior in well-trained rats. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Temporary infusions of DHK into area 25 induced the blunting of both anticipatory and motivational arousal.
“Temporary infusions of the glutamate transporter blocker, dihydrokainic acid (DHK), which heightens the excitability of neurons, induced the blunting of both anticipatory and motivational arousal when infused into area 25.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] Alexander L, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, Cockcroft GJ, et al. Fractionating blunted reward processing characteristic of anhedonia by over-activating primate subgenual anterior cingulate cortex. Neuron. 2019;101:307–320.e6. source
- Premisecitation
In an emotional face-matching paradigm, unaffected first-degree relatives of acutely depressed patients with MDD (as well as individuals with current MDD) had reduced dlPFC activation in response to negative faces compared to healthy controls without familial risk.
“Similarly, in an emotional face-matching paradigm, unaffected first-degree relatives of acutely depressed patients with MDD (as well as individuals with current MDD) had reduced dlPFC activation in response to negative faces compared to healthy controls without familial risk [163].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [163] Opel N, Redlich R, Grotegerd D, Dohm K, Zaremba D, Meinert S, et al. Prefrontal brain responsiveness to negative stimuli distinguishes familial risk for major depression from acute disorder. J Psychiatry Neurosci. 2017;42:343–52. source
- Premisecitation
Blunted dlPFC activation has been accompanied by exaggerated amygdalar activation when viewing and reappraising negative pictures.
“Thus, blunted dlPFC activation has been accompanied by exaggerated amygdalar activation when (1) viewing and reappraising negative pictures [167], (2) processing subliminal negative stimuli [168, 169] (Fig. 4d) and negative words”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [167] Sheline YI, Barch DM, Price JL, Rundle MM, Vaishnavi SN, Snyder AZ, et al. The default mode network and self-referential processes in depression. Proc Natl Acad Sci USA. 2009;106:1942–7. source
The Imaging Data section reports greater left-amygdala responses to negative pictures in depressed participants and lower activation in the left dorsal medial prefrontal cortex during viewing. It does not report blunted dorsolateral prefrontal (dlPFC) activation. Figure 2 and the Discussion indicate that the amygdala group difference was found during viewing, not reappraisal. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Lack of such effects following activation or inactivation of area 32.
“The selectivity of these findings was illustrated by the lack of such effects following activation or inactivation of area 32; interestingly, a similar blunting of anticipatory but not consummatory arousal was also seen following over-activation of neighboring area 14 within primate medial OFC/caudal vmPFC [142].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] Alexander L, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, Cockcroft GJ, et al. Fractionating blunted reward processing characteristic of anhedonia by over-activating primate subgenual anterior cingulate cortex. Neuron. 2019;101:307–320.e6. source
- Premisecitation
Greater pgACC (and amygdalar) activation in response to negative stimuli, coupled with reduced activation in bilateral inferior frontal regions, emerged among women with subthreshold depressive symptoms.
“Greater pgACC (and amygdalar) activation in response to negative stimuli, coupled with reduced activation in bilateral inferior frontal regions, emerged also among women with subthreshold depressive symptoms [180], suggesting that such abnormalities precede the onset of MDD.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [180] Li H, Wei D, Sun J, Zhang Q, Qiu J. Fronto-limbic alterations in negatively biased attention in young adults with subthreshold depression. Front Psychol. 2017;8:1354. https://doi.org/10.3389/fpsyg.2017.01354. eCollection 2017 source
- Premisecitation
Blunted dlPFC activation has been accompanied by exaggerated amygdalar activation when processing subliminal negative stimuli.
“Thus, blunted dlPFC activation has been accompanied by exaggerated amygdalar activation when (1) viewing and reappraising negative pictures [167], (2) processing subliminal negative stimuli [168, 169] (Fig. 4d) and negative words”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [168] Victor TA, Furey ML, Fromm SJ, Öhman A, Drevets WC. Relationship between amygdala responses to masked faces and mood state and treatment in major depressive disorder. Arch Gen Psychiatry. 2010;67:1128–38. source
The Results (fMRI Results; page not provided) report greater amygdala responses to masked-sad faces in depressed participants than in healthy controls, supporting the subliminal-stimulus portion of the claim. They do not report blunted dlPFC activation accompanying that response; the reported frontal difference concerns unmasked faces. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [169] Victor TA, Furey ML, Fromm SJ, Öhman A, Drevets WC. Changes in the neural correlates of implicit emotional face processing during antidepressant treatment in major depressive disorder. Int J Neuropsychopharmacol. 2013;16:2195–208. source
The Introduction reports an abnormally increased amygdala response to masked-sad faces in unmedicated depressed participants, supporting the exaggerated-amygdala part of the claim. The fMRI Results and Discussion describe changes in the pgACC, ventrolateral prefrontal cortex and lateral frontal polar cortex, but do not report blunted dlPFC activation accompanying that amygdala response. Passage-level page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Among adolescents, blunted dlPFC to negative social status words mediated the relationship between social risk and depressive symptoms.
“Among adolescents, blunted dlPFC to negative social status words mediated the relationship between social risk (peer victimization and fear of negative evaluation) and depressive symptoms [164].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [164] Lee KH, Oppenheimer CW, Siegle GJ, Ladouceur CD, Lee GE, Silk JS, et al. Prefrontal cortical response to negative social words links social risk to depressive symptoms in adolescence. J Res Adolesc. 2018;28:87–102. source
- Premisecitation
Among healthy controls, a negativity bias correlated with pgACC activation for "sad" vs. "happy" choices in response to ambiguous faces.
“Findings of potentiated pgACC activation to negative cues in MDD are intriguing in light of evidence that, among healthy controls, a negativity bias correlated with pgACC activation for “sad” vs. “happy” choices in response to ambiguous faces [184].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [184] Ito T, Yokokawa K, Yahata N, Isato A, Suhara T, Yamada M. Neural basis of negativity bias in the perception of ambiguous facial expression. Sci Rep. 2017;7:420. https://doi.org/10.1038/s41598-017-00502-3. source
- Findingcitation
Inactivation of area 11 induces negative biases based on memory of experiences, dependent on OFC interaction with amygdala and anterior hippocampus.
“Conversely, inactivation of area 11 only induces negative biases based on the memory of those experiences, memories dependent on the OFC's interaction with the amygdala and anterior hippocampus [38].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [38] Clarke HF, Horst NK, Roberts AC. Regional inactivations of primate ventral prefrontal cortex reveal two distinct mechanisms underlying negative bias in decision making. PNAS. 2015;112:4176–81. source
- Premisecitation
Eventual week 6 responders showed greater reduction in neural responses to fearful vs. happy faces after 7 days of escitalopram treatment in the pgACC, dACC and amygdala.
“In line with the hypothesis that antidepressant medications might exert their effects by normalizing negative emotional biases before changes in symptoms, eventual week 6 responders showed greater reduction in neural responses to fearful vs. happy faces after 7 days of escitalopram treatment in the pgACC, dACC and amygdala [197].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [197] Godlewska BR, Near J, Cowen PJ. Neurochemistry of major depression: a study using magnetic resonance spectroscopy. Psychopharmacology. 2015;232:501–7. source
The Methods section describes MRS scans before and after six weeks of escitalopram, and the Discussion compares baseline GABA levels in eventual responders and non-responders. Searches for fearful versus happy faces, seven-day neural responses, and the pgACC, dACC, and amygdala found no passage addressing the claimed result. Page numbers are unavailable in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
In an fMRI study comparing never-depressed dizygotic twins with vs. without co-twin with a history of MDD, high-risk twins were characterized by negative functional connectivity between BA10/BA24 and the amygdala.
“For example, in an fMRI study comparing never-depressed dizygotic twins with vs. without cotwin with a history of MDD, high-risk twins were characterized by negative functional connectivity between BA10/BA24 and the amygdala [192].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [192] Miskowiak KW, Svendsen AMB, Harmer CJ, Elliott R, Macoveanu J, Siebner HR, et al. Differences in neural and cognitive response to emotional faces in middle-aged dizygotic twins at familial risk of depression. Psychol Med. 2017;47:2345–57. source
- Findingcitation
Area 32 in marmosets and PLc in rodents are implicated in the learning, but not expression, of action-outcome associations in the appetitive domain.
“Excitotoxic lesion studies of area 32 in marmosets [204], similar to lesions of PLc in rodents [205], have implicated this region in the learning, but not expression of action-outcome associations in the appetitive domain, particularly with respect to the contingent relationship between actions and their outcomes.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [204] Jackson SAW, Horst NK, Pears A, Robbins TW, Roberts AC. Role of the perigenual anterior cingulate and orbitofrontal cortex in contingency learning in the marmoset. Cereb Cortex. 2016;26:3273–84. source
The Discussion (page unavailable) reports that excitotoxic lesions of marmoset area 32 caused insensitivity to contingency degradation, supporting its involvement in learning about contingencies. But it explicitly says the study cannot determine whether the deficit concerns stimulus–outcome or action–outcome contingencies. The learning-versus-expression distinction is reported there for rodent PL lesions, not established by this marmoset experiment. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [205] Balleine BW, Dickinson A. Goal-directed instrumental action: contingency and incentive learning and their cortical substrates. Neuropharmacology. 1998;37:407–19. source
- Findingcitation
Microstimulation of the caudal OFC in macaques induces a negative bias.
“Akin to microstimulation in pgACC, microstimulation of the caudal OFC in macaques also induces a negative bias [202].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [202] Amemori S, Amemori K, Yoshida T, Papageorgiou GK, Xu R, Shimazu H, et al. Microstimulation of primate neocortex targeting striosomes induces negative decision‐making. Eur J Neurosci. 2020;51:731–41. source
- Findingcitation
Area 24 and its projection target region in the caudate nucleus in marmosets are implicated in the detection/expression of changes in action-outcome contingencies for reward.
“More recently, area 24 and projection target region in the caudate nucleus in marmosets have also been implicated in the detection/expression of changes in actionoutcome contingencies for reward [206].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [206] Duan LY, Horst NK, Cranmore SAW, Horiguchi N, Cardinal RN, Roberts AC, et al. Controlling one’s world: identification of sub-regions of primate PFC underlying goal-directed behavior. Neuron. 2021;109:1–14. source
The cited paper’s passages on pp. 1–2 discuss SNAP25 mutations and neurotransmitter release, not reward-related action–outcome contingencies. Searches for area 24, the marmoset caudate nucleus, and reward contingencies found no passage in our copy addressing the claim. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Findingcitation
In MDD, resting-state functional connectivity strength within a module involving several PFC regions correlates positively with self-reported helplessness.
“In a study using graph analyses, rsFC strength within a module involving several PFC regions (e.g., dorsal and medial superior frontal gyrus; OFC; middle frontal gyrus, anterior cingulum gyrus) correlated positively with self-reported helplessness in MDD [209].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [209] Peng D, Shi F, Shen T, Peng Z, Zhang C, Liu X, et al. Altered brain network modules induce helplessness in major depressive disorder. J Affect Disord. 2014;168:21–29. source
Results §3.5 reports a positive correlation between intra-module I connectivity and helplessness in MDD (r = 0.54, p < 0.05). However, the Introduction describes the helplessness measure as a clinician-rated HAMD interview, not a self-report. Results §3.2 also places the middle frontal gyrus in module II, rather than the correlated module I, among MDD patients. Page numbers are unavailable in our copy. (LLM, conf=0.91)
Experimental — accuracy not yet measured
- Findingcitation
A region bordering area 32 within the pgACC of macaques is implicated in negative bias in decision making.
“A region bordering area 32 within the pgACC of macaques [39] has also been implicated in negative bias in decision making using a task subsequently adapted to assess negative biases in MDD [42].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [39] Amemori K, Graybiel AM. Localized microstimulation of primate pregenual cingulate cortex induces negative decision-making. Nat Neurosci. 2012;15:776–85. source
- cites [42] Ironside M, Amemori KI, McGrath CL, Pedersen ML, Kang MS, Amemori S, et al. Approach-avoidance conflict in major depressive disorder: congruent neural findings in humans and nonhuman primates. Biol Psychiatry. 2020;87:399–408. source
- Premisecitation
8 weeks of sertraline treatment normalized amygdalar hyper-activation to sad faces in MDD.
“These findings were complemented by data showing that 8 weeks of sertraline treatment normalized amygdalar hyper-activation to sad faces in MDD [194], replicating prior findings [195,196].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [194] Scheidegger M, Walter M, Lehmann M, Metzger C, Grimm S, Boeker H, et al. Ketamine decreases resting state functional network connectivity in healthy subjects: implications for antidepressant drug action. PLoS One. 2012;7:e44799. source
The Introduction (page unavailable) discusses citalopram and amygdala–prefrontal connectivity, while the Methods describe a ketamine study in healthy subjects. Searches for sertraline and sad faces found no passage reporting eight weeks of sertraline treatment or normalized amygdala responses to sad faces in MDD. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites [195] Sheline YI, Barch DM, Donnelly JM, Ollinger JM, Snyder AZ, Mintun MA. Increased amygdala response to masked emotional faces in depressed subjects resolves with antidepressant treatment: an fMRI study. Biol Psychiatry. 2001;50:651–8. source
- cites [196] Fu CHY, Williams SCR, Cleare AJ, Brammer MJ, Walsh ND, Kim J, et al. Attenuation of the neural response to sad faces in major depression by antidepressant treatment: a prospective, event-related functional magnetic resonance imaging study. Arch Gen Psychiatry. 2004;61:877–89. source
The treatment and Effects of Antidepressant Treatment sections (page not provided) support reduced amygdala activation to sad faces after eight weeks in patients with depression. But this paper treated its patients with fluoxetine, not sertraline; it describes an earlier sertraline study as using fearful faces. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Interpretationcitation
The effect of area 25 overactivation is attributed to an overall enhancement of threat reactivity, consistent with increased activation in this region associated with enhanced negative reactivity in MDD.
“This effect was attributed to a likely overall enhancement of threat reactivity, consistent with increased activation in this region associated with enhanced negative reactivity in MDD [157,183].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [157] Stuhrmann A, Suslow T, Dannlowski U. Facial emotion processing in major depression: a systematic review of neuroimaging findings. Biol Mood Anxiety Disord. 2011;1:1–10. source
The Results (Differential effects of valence; page unavailable) report exaggerated subgenual cingulate responses to negative facial stimuli in MDD, and the Discussion (Abnormal ACC and OFC activity; page unavailable) describes hyperactivation of the ventral/subgenual ACC. The paper does not identify area 25 specifically or attribute its overactivation to an overall enhancement of threat reactivity. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [183] Fales CL, Barch DM, Rundle MM, Mintun MA, Mathews J, Snyder AZ, et al. Antidepressant treatment normalizes hypoactivity in dorsolateral prefrontal cortex during emotional interference processing in major depression. J Affect Disord. 2009;112:206–11. source
Table 1 in §3.3.2 reports greater activity in subgenual cingulate area 25 in depressed patients than controls. It lists this as a main effect of group, not an effect specific to fearful stimuli, and the paper does not attribute it to enhanced threat or negative reactivity. The fear-related activation result in that section concerns the amygdala instead. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Increased pretreatment FC between the sgACC and amygdala predicted nonresponse to ketamine.
“Critically, increased pretreatment FC between the sgACC and amygdala predicted nonresponse to ketamine [200] and reduced dACC-pgACC FC correlated with a reduction in suicidal ideation [199].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [200] Nakamura T, Tomita M, Horikawa N, Ishibashi M, Uematsu K, Hiraki T, et al. Functional connectivity between the amygdala and subgenual cingulate gyrus predicts the antidepressant effects of ketamine in patients with treatment‐resistant depression. Neuropsychopharmacol Rep. 2021;npr2:12165. source
- Findingcitation
Inactivation of rostral central OFC (primarily area 11) and vlPFC in marmosets induces a negative bias in decision making.
“Inactivation of more rostral regions of the central OFC (primarily area 11) and vlPFC in marmosets also induce a negative bias in decision making [38], although likely the result of distinct underlying psychological mechanisms.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [38] Clarke HF, Horst NK, Roberts AC. Regional inactivations of primate ventral prefrontal cortex reveal two distinct mechanisms underlying negative bias in decision making. PNAS. 2015;112:4176–81. source
- Premisecitation
SSRI treatment (sertraline) reduced activation in the pgACC (BA24/32) (as well as left medial OFC and left vlPFC) in response to masked sad vs. happy faces.
“For example, an early study reported that SSRI treatment (sertraline) reduced activation in the pgACC (BA24/32) (as well as left medial OFC and left vlPFC) in response to masked sad vs. happy faces [169].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [169] Victor TA, Furey ML, Fromm SJ, Öhman A, Drevets WC. Changes in the neural correlates of implicit emotional face processing during antidepressant treatment in major depressive disorder. Int J Neuropsychopharmacol. 2013;16:2195–208. source
The fMRI Results report reduced masked-sad versus masked-happy (SN-HN) response in the right pgACC after sertraline treatment. They report reductions in the left medial OFC and left vlPFC for masked-sad versus masked-neutral (SN-NN) faces, not the sad-versus-happy contrast attributed to all three regions. The cited passages do not specify BA24/32 for the pgACC. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Findingcitation
Ketamine infusions directly into the mPFC produced similar bias reductions.
“similar bias reductions followed ketamine infusions directly into the mPFC (although PLc or ILc were not distinguished).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [45] Hales CA, Robinson ESJ, Houghton CJ. Diffusion modelling reveals the decision making processes underlying negative judgement bias in rats. PLoS One. 2016;11:e0152592. source
The Materials and Methods (Experiment 1: Acute induction of negative affective state) describe intraperitoneal FG7142, and the Results (Behavioural results) report a negative judgement bias after that treatment. Searches for ketamine, mPFC, and prefrontal-cortex infusions found no passage addressing the claimed bias reductions. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Findingcitation
Unmedicated individuals with MDD had potentiated frontal PINV relative to controls during settings in which control over an aversive outcome was removed and then restored.
“Diener et al. reported that, relative to controls, unmedicated individuals with MDD had potentiated frontal PINV during settings in which control over an aversive outcome was removed and then restored [208].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [208] Diener C, Kuehner C, Brusniak W, Struve M, Flor H. Effects of stressor controllability on psychophysiological, cognitive and behavioural responses in patients with major depression and dysthymia. Psychol Med. 2009;39:77–86. source
- Findingcitation
Stimulation of the striosomes of the striatum to which the pgACC region projects induces a negative bias.
“stimulation of the striosomes of the striatum to which this region projects also induces a negative bias [202]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [202] Amemori S, Amemori K, Yoshida T, Papageorgiou GK, Xu R, Shimazu H, et al. Microstimulation of primate neocortex targeting striosomes induces negative decision‐making. Eur J Neurosci. 2020;51:731–41. source
The Results report that microstimulation of pACC sites increased avoidance choices and that those sites preferentially projected to striosomes. The paper stimulated the cortex, not the striosomes directly, so it does not establish that stimulation of striosomes induces the negative bias. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Ketamine infusion reduced hyperactivation in the sgACC (BA25) to positive feedback.
“Specifically, ketamine infusion reduced (1) hyperactivation in the sgACC (BA25) to positive feedback [121], (2) FC between the pgACC and dACC [199], and (3) FC between the sgACC and limbic regions (e.g., hippocampus) [121].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [121] Morris LS, Costi S, Tan A, Stern ER, Charney DS, Murrough JW. Ketamine normalizes subgenual cingulate cortex hyper-activity in depression. Neuropsychopharmacology. 2020;45:975–81. source
The Discussion reports that ketamine reduced sgACC activation to positive feedback in patients with MDD (Fig. 3). However, the BA25-specific analysis in “Subdivisions within sgACC” found only a trend toward reduced hyperactivity (p = 0.062), so the claim states that more specific result more firmly than the paper does. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingcitation
Reduced amPFC deactivation is associated with more rumination.
“reduced amPFC deactivation was associated with more rumination [248].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [248] Bartova L, Meyer BM, Diers K, Rabl U, Scharinger C, Popovic A, et al. Reduced default mode network suppression during a working memory task in remitted major depression. J Psychiatr Res. 2015;64:9–18. source
- Findingcitation
Effects of ILc inactivation appear more restricted to social behavior.
“the effects of ILc inactivation appear more restricted to social behavior [233].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [233] Christianson JP, Flyer-Adams JG, Drugan RC, Amat J, Daut RA, Foilb AR, et al. Learned stressor resistance requires extracellular signal-regulated kinase in the prefrontal cortex. Front Behav Neurosci. 2014;8:348. source
- Interpretationcitation
Failure to detect changes in action-outcome contingencies (associated with disrupted areas 32/24 in monkeys and PLc in rodents) could contribute to negative biases in approach-avoidance decision making and despair/helplessness.
“a failure to detect changes in the contingencies between one's actions and their outcome (associated with disrupted function in both areas 32 and 24 in monkeys [206] and PLc in rodents [205,250]) could contribute not only to negative biases in approach-avoidance decision making but also despair/helplessness [232].”
Quote in the paperSubstantial claim2 of 4 sources checked- cites [206] Duan LY, Horst NK, Cranmore SAW, Horiguchi N, Cardinal RN, Roberts AC, et al. Controlling one’s world: identification of sub-regions of primate PFC underlying goal-directed behavior. Neuron. 2021;109:1–14. source
The cited paper’s discussion of SNAP25 mutations and neurotransmitter release (pp. 1–2) does not address the claim’s proposed link to despair or helplessness. Searches for action–outcome contingencies, approach–avoidance decisions, and areas 32/24 or PLc found no relevant passage in our copy. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [205] Balleine BW, Dickinson A. Goal-directed instrumental action: contingency and incentive learning and their cortical substrates. Neuropharmacology. 1998;37:407–19. source
- cites [250] Balleine BW, O’Doherty JP. Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action. Neuropsychopharmacology. 2010;35:48–69. source
- cites [232] Amat J, Baratta MV, Paul E, Bland ST, Watkins LR, Maier SF. Medial prefrontal cortex determines how stressor controllability affects behavior and dorsal raphe nucleus. Nat Neurosci. 2005;8:365–71. source
- Findingcitation
MDD is associated with reduced recruitment of dlPFC and dACC in contexts requiring ignoring task-irrelevant negative cues or behavioral adjustments after errors.
“MDD was associated with reduced recruitment of the dlPFC [160, 161, 170, 244-246] and dACC [160,161,246] in contexts requiring task-irrelevant negative cues to be ignored or behavioral adjustments after errors.”
Quote in the paperSubstantial claim2 of 6 sources checked- cites [160] Wang L, LaBar KS, Smoski M, Rosenthal MZ, Dolcos F, Lynch TR, et al. Prefrontal mechanisms for executive control over emotional distraction are altered in major depression. Psychiatry Res. 2008;163:143–55. source
The Results (section 3.2) report reduced ACC engagement in MDD for targets following sad distractors, and the Discussion (section 4) reports reduced activity in executive regions including the middle frontal gyrus during target detection. But the paper identifies the ACC finding as rostral, not dorsal, and does not study behavioral adjustments after errors. It also reports increased middle frontal gyrus activation in MDD for targets following sad distractors, so reduced dlPFC recruitment does not describe that specific contrast. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [161] Fales CL, Barch DM, Rundle MM, Mintun MA, Snyder AZ, Cohen JD, et al. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol Psychiatry. 2008;63:377–84. source
The Effects of Attended and Unattended Fear section reports reduced right DLPFC recruitment when patients ignored fearful faces and lower activation in a region extending into the lower dorsal ACC. The Posterror Analysis reports that patients failed to increase DLPFC activation after errors. It does not show impaired error-related recruitment of the dorsal ACC: the Error Analysis found that its response to errors did not differ by group. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [170] Siegle GJ, Thompson W, Carter CS, Steinhauer SR, Thase ME. Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: related and independent features. Biol Psychiatry. 2007;61:198–209. source
- cites [244] Holmes AJ, Pizzagalli DA. Response conflict and frontocingulate dysfunction in unmedicated participants with major depression. Neuropsychologia. 2008;46:2904–13. source
- cites [245] Mitterschiffthaler MT, Williams SC, Walsh ND, Cleare AJ, Donaldson C, Scott J, et al. Neural basis of the emotional Stroop interference effect in major depression. Psychol Med. 2008;38:247–56. source
- cites [246] Wang L, Krishnan KR, Steffens DC, Potter GG, Dolcos F, McCarthy G. Depressive state- and disease-related alterations in neural responses to affective and executive challenges in geriatric depression. Am J Psychiatry. 2008;165:863–71. source
- Findingcitation
Studies have generally shown no or few differences between MDD and healthy groups in emotion regulation tasks that provided clear cognitive reappraisal instructions.
“studies have generally shown no or few differences between MDD and healthy groups in emotion regulation tasks that provided clear cognitive reappraisal instructions [253,254].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [253] Dillon DGDG, Pizzagalli DADA. Evidence of successful modulation of brain activation and subjective experience during reappraisal of negative emotion in unmedicated depression. Psychiatry Res. 2013;212:99–107. source
- cites [254] Loeffler LAK, Radke S, Habel U, Ciric R, Satterthwaite TD, Schneider F, et al. The regulation of positive and negative emotions through instructed causal attributions in lifetime depression – a functional magnetic resonance imaging study. NeuroImage Clin. 2018;20:1233–45. source
- Findingcitation
Neuronal silencing of IL (and not PL) blocks the actions of ketamine 24 h later.
“neuronal silencing of IL (and not PL) blocks the actions of ketamine, 24 h later [63]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [63] Fuchikami M, Thomas A, Liu R, Wohleb ES, Land BB, DiLeone RJ, et al. Optogenetic stimulation of infralimbic PFC reproduces ketamine’s rapid and sustained antidepressant actions. Proc Natl Acad Sci USA. 2015;112:8106–8111. source
- Findingcitation
Stronger pretreatment dlPFC activation coupled with weaker dlPFC-amPFC functional connectivity predicts depression recovery.
“stronger pretreatment dlPFC activationcoupled with weaker dlPFC-amPFC functional connectivitypredicted depression recovery.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [247] Meyer BM, Rabl U, Huemer J, Bartova L, Kalcher K, Provenzano J, et al. Prefrontal networks dynamically related to recovery from major depressive disorder: a longitudinal pharmacological fMRI study. Transl Psychiatry. 2019;9:64. https://doi.org/10.1038/s41398-019-0395-8 source
- Findingcitation
Only PLc neurons projecting to the dorsal raphe nucleus show selective activation to escapable stress.
“only neurons in the PLc (but not ILc) projecting to the dorsal raphe nucleus show selective activation to escapable stress [234]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [234] Baratta MV, Zarza CM, Gomez DM, Campeau S, Watkins LR, Maier SF. Selective activation of dorsal raphe nucleus-projecting neurons in the ventral medial prefrontal cortex by controllable stress. Eur J Neurosci. 2009;30:1111–6. source
- Findingcitation
Continuous inactivation of OFC for two weeks using muscimol increases active coping.
“continuous inactivation of OFC for two weeks using muscimol [231] increased active coping.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [231] Kuniishi H, Ichisaka S, Matsuda S, Futora E, Harada R, Hata Y. Chronic inactivation of the orbitofrontal cortex increases anxiety-like behavior and impulsive aggression, but decreases depression-like behavior in rats. Front Behav Neurosci. 2017;10:250. source
- Interpretationcitation
Central OFC regions may contribute via updating predictive stimuli involved in Pavlovian-to-Instrumental transfer.
“Different again may be the contribution of regions within central OFC, with their links to the updating of predictive stimuli which may be involved in the mechanisms by which predictive stimuli can influence goal-directed actions, known as Pavlovian-to-Instrumental transfer [206,235].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [206] Duan LY, Horst NK, Cranmore SAW, Horiguchi N, Cardinal RN, Roberts AC, et al. Controlling one’s world: identification of sub-regions of primate PFC underlying goal-directed behavior. Neuron. 2021;109:1–14. source
The cited paper’s discussion of SNAP25 mutations and synaptic transmission (Molecule-to-Circuit Disease Mechanisms of a Synaptic SNAREopathy, pp. 1–2) does not address central OFC, predictive-stimulus updating, or Pavlovian-to-instrumental transfer. Searches for those terms and for goal-directed actions found no relevant passage in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [235] Ostlund SB, Balleine BW. Orbitofrontal cortex mediates outcome encoding in pavlovian but not instrumental conditioning. J Neurosci. 2007;27:4819–25. source
The Introduction and Discussion report that post-training OFC lesions abolished outcome-selective Pavlovian-to-instrumental transfer and impaired adjustment to a change in a stimulus’s predictive relationship. The Histological verification section locates the lesions primarily in lateral and ventrolateral orbital regions, not specifically in central OFC; that anatomical attribution is not established by this paper. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Individuals with elevated depression severity have reduced sensitivity to differing reward values in the central orbitofrontal cortex during reward anticipation compared to controls.
“Central orbitofrontal cortex (see green) and lateral orbitofrontal cortex (see red) region in which individuals with elevated depression severity (see squares) had reduced sensitivity to differing reward values and potentiated activation to non-rewards (no-win outcome) during reward anticipation compared to the control group (see circles) [114].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [114] Xie C, Jia T, Rolls ET, Robbins TW, Sahakian BJ, Zhang J, et al. Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;6:259–69. source
The age-14 and age-19 subgroup Results report reduced sensitivity to reward magnitude during anticipation in adolescents with high depressive-symptom severity compared with controls. The paper identifies the affected region as the medial orbitofrontal cortex, not the central orbitofrontal cortex named in the claim. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Amygdalar hyperactivity to negative stimuli emerged in fully remitted adults with past MDD.
“emerged in fully remitted adults with past MDD [168]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [168] Victor TA, Furey ML, Fromm SJ, Öhman A, Drevets WC. Relationship between amygdala responses to masked faces and mood state and treatment in major depressive disorder. Arch Gen Psychiatry. 2010;67:1128–38. source
The Discussion reports greater amygdala activity in fully remitted, unmedicated MDD subjects than in controls for masked-sad versus masked-happy faces. The claim omits that restriction: the same section reports no group difference for explicitly presented emotional faces, so the finding does not establish hyperactivity to negative stimuli generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Individuals with elevated depression severity have potentiated activation to non-rewards (no-win outcome) in the lateral orbitofrontal cortex during reward anticipation compared to controls.
“potentiated activation to non-rewards (no-win outcome) during reward anticipation compared to the control group (see circles) [114].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [114] Xie C, Jia T, Rolls ET, Robbins TW, Sahakian BJ, Zhang J, et al. Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;6:259–69. source
- Premisecitation
MDD is linked to reduced cortico-limbic functional connectivity (e.g., mPFC↔amygdala) when presented with negative cues.
“MDD has been linked to reduced cortico-limbic functional connectivity (e.g., mPFC↔amygdala) when presented with negative cues [175-178].”
Quote in the paperSubstantial claim2 of 4 sources checked- cites [175] Dannlowski U, Ohrmann P, Konrad C, Domschke K, Bauer J, Kugel H, et al. Reduced amygdalaprefrontal coupling in major depression: Association with MAOA genotype and illness severity. Int J Neuropsychopharmacol. 2009;12:11–22. source
The Discussion reports reduced amygdala–DLPFC and amygdala–dACC connectivity in depressed patients during emotion processing. However, the fMRI methods include sad, angry, happy, and neutral faces, and the connectivity analysis does not isolate responses to negative cues. The reported regions are DLPFC and dACC rather than a specifically identified mPFC–amygdala connection. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [176] Matthews SC, Strigo IA, Simmons AN, Yang TT, Paulus MP. Decreased functional coupling of the amygdala and supragenual cingulate is related to increased depression in unmedicated individuals with current major depressive disorder. J Affect Disord. 2008;111:13–20. source
- cites [177] Kong L, Chen K, Tang Y, Wu F, Driesen N, Womer F, et al. Functional connectivity between the amygdala and prefrontal cortex in medication-naive individuals with major depressive disorder. J Psychiatry Neurosci. 2013;38:417–22. source
The Results report reduced amygdala–left rostral PFC connectivity in participants with MDD during fearful-face processing, supporting the claim about negative cues. The paper identifies the region as rostral PFC, not explicitly as mPFC, so the example is more anatomically specific than the source states. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [178] Dannlowski U, Ohrmann P, Bauer J, Kugel H, Arolt V, Heindel W, et al. Amygdala reactivity to masked negative faces is associated with automatic judgmental bias in major depression: a 3 T fMRI study. J Psychiatry Neurosci. 2007;32:423–9. source
- Premisecitation
Amygdalar hyperactivity to negative stimuli has been reported in depressed children as young as 4-6 years old.
“amygdalar hyperactivity to negative stimuli has been reported in depressed children as young as 4-6 years old [173]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [173] Gaffrey MS, Barch DM, Singer J, Shenoy R, Luby JL. Disrupted amygdala reactivity in depressed 4- to 6-year-uld children. J Am Acad Child Adolesc Psychiatry. 2013;52:737–46. source
- Findingnone given
Negative biases in the context of the PFC are present in chronically stressed rodents.
“In rodents, negative biases in the context of the PFC have received little attention despite their presence in chronically stressed animals.”
Quote in the paperNot a substantial claim - Findingcitation
Altered activity in the PFC of macaques and marmosets induces negative biases akin to those reported in depression.
“altered activity in the PFC of both macaques and marmosets was found to induce negative biases akin to those reported in depression (summarized in Fig. 7).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fig. 7
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Functional homology exists between PFC regions in rodents/monkeys and humans such that findings in animals can inform MDD.
- Rests on an assumption: Negative biases measured in animal tasks are equivalent to negative processing biases in MDD.
- Findingcitation
Area 32 and area 24 within pgACC are implicated in goal-directed actions.
“Both area 32 and area 24 within pgACC have been implicated in goal-directed actions.”
Quote in the paperSubstantial claim - Findingcitation
Chronic stress disrupts action-outcome learning and expression.
“impaired action-outcome learning and expression was disrupted by chronic stress [93].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [93] Dias-Ferreira E, Sousa JC, Melo I, Morgado P, Mesquita AR, Cerqueira JJ, et al. Chronic stress causes frontostriatal reorganization and affects decision-making. Science. 2009;325:621–5. source
- Findingnone given
Successful antidepressant treatment generally normalizes brain activation in regions implicated in mood-congruent negative processing biases (sgACC, pgACC, dmPFC) and in emotion regulation and cognitive control (dlPFC).
“Finally, treatment studies have generally shown that successful antidepressant treatment normalizes brain activation in regions implicated in mood-congruent negative processing biases (sgACC, pgACC, dmPFC) as well as those implicated in emotion regulation and cognitive control (dlPFC).”
Quote in the paperNot a substantial claim - Findingcitation
The mPFC as a whole is implicated in the regulation of active and passive coping strategies.
“studies in the mPFC have not discriminated between PLc and ILc, although all have implicated the region as a whole in the regulation of active and passive coping strategies [221][222][223][224][225].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [221][222][223][224][225]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingcitation
In MDD, executive tasks show reduced activation in dACC and dlPFC when behavioral performance is impaired.
“Studies using various executive tasks (e.g., Stroop, Flanker, N-Back) have highlighted reduced activation in dACC and dlPFC regions in experimental settings in which individuals with MDD show impaired behavioral performance.”
Quote in the paperSubstantial claim - Findingcitation
pgACC activation in response to noxious stimulation tracks whether uncontrollable pain is experienced as more aversive than controllable pain.
“probing individual differences in how perceived controllability might modulate pain perception, it was found that pgACC activation in response to noxious stimulation tracked whether uncontrollable pain was experienced as more aversive than controllable pain [217].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [217] Salomons TV, Johnstone T, Backonja MM, Shackman AJ, Davidson RJ. Individual differences in the effects of perceived controllability on pain perception: critical role of the prefrontal cortex. J Cogn Neurosci. 2007;19:993–1003. source
- Findingcitation
Greater vlPFC activation during anticipation of uncontrollable pain correlates with lower pain ratings.
“Conversely, greater vlPFC activation during the anticipation of uncontrollable pain correlated with lower pain ratings.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [217] Salomons TV, Johnstone T, Backonja MM, Shackman AJ, Davidson RJ. Individual differences in the effects of perceived controllability on pain perception: critical role of the prefrontal cortex. J Cogn Neurosci. 2007;19:993–1003. source
- Findingcitation
Different forms of cognitive inflexibility are associated with dysfunction within distinct PFC regions.
“Originally identified in primates [207], different forms of cognitive inflexibility are associated with dysfunction within distinct PFC regions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [207] Dias R, Robbins TW, Roberts AC. Dissociation in prefrontal cortex of affective and attentional shifts. Nature. 1996;380:69–72. source
- Findingcitation
Transient dlPFC inhibition via TMS reduces placebo analgesia.
“Further highlighting a central role of the dlPFC in these processes, transient dlPFC inhibition (via TMS) reduced placebo analgesia [220].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [220] Krummenacher P, Candia V, Folkers G, Schedlowski M, Schönbächler G. Prefrontal cortex modulates placebo analgesia. Pain. 2010;148:368–74. source
- Findingcitation
In placebo analgesia, dlPFC, vlPFC, rostral vmPFC, pgACC, and central OFC show the most consistent placebo-related activation increases in response to pain.
“neuroimaging studies of placebo analgesia have revealed that dlPFC, vlPFC, rostral vmPFC (as well as pgACC) and central OFC show the most consistent placebo-related activation increases in response to pain.”
Quote in the paperSubstantial claim - Findingcitation
Greater dmPFC deactivation during an emotional WM task 24 h before ketamine infusion predicts greater reduction of depressive symptoms in TRD patients.
“greater DMN (specifically, dmPFC) deactivation during an emotional WM task 24 h before ketamine infusion predicted greater reduction of depressive (especially, cognitive) symptoms in TRD patients [249].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [249] Stippl A, Scheidegger M, Aust S, Herrera A, Bajbouj M, Gärtner M, et al. Ketamine specifically reduces cognitive symptoms in depressed patients: An investigation of associated neural activation patterns. J Psychiatr Res. 2021;136:402–8. source
- Findingcitation
Despair, blunting of appetitive consummatory responses, and social interaction are associated with changes in both mPFC and OFC.
“These differential effects contrast with those described for despair, blunting of appetitive consummatory responses and social interaction, associated with changes in both mPFC and OFC (see Figs. 2 and 3)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Figs. 2 and 3
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
The prefrontal cortex is one of the regions most consistently impaired in major depressive disorder.
“The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in major depressive disorder (MDD).”
Quote in the paperNot a substantial claim - Premisecitation
The finding that animals that had control over negative events do not subsequently show impaired instrumental actions demonstrates the critical factor of controllability.
“The finding that animals that had control over those same negative events do not subsequently show impaired instrumental actions demonstrates the critical factor of controllability.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56][57][58][59]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Behavioral despair may be more readily associated with concepts of learned helplessness, whereby animals having experienced uncontrollable negative events subsequently display impaired instrumental learning in otherwise controllable contexts.
“Behavioral despair may be more readily associated with concepts of learned helplessness whereby animals, having experienced uncontrollable negative events, subsequently display impaired instrumental learning in otherwise, controllable, contexts involving similar or different negative and positive reinforcers to that used in the uncontrollable context [56][57][58][59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56][57][58][59]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The forced swim test and tail suspension test may be more relevant to studying brain mechanisms underlying acute stress rather than a chronic state like depression.
“Thus, they may be more relevant to studying brain mechanisms underlying acute stress rather than a chronic state, like depression.”
Quote in the paperNot a substantial claim - Premisenone given
Current understanding of functional homology or analogy between the prefrontal cortex of rodents and humans is still in its infancy.
“Since our current understanding of functional homology or analogy between the PFC of rodents and humans is still in its infancy, it is important not to overstate it, as it may inadvertently hinder translational opportunities.”
Quote in the paperNot a substantial claim - Premisecitation
Evidence in humans implicates orbitofrontal, dorsolateral/ventrolateral, and medial prefrontal/anterior cingulate cortex in major depressive disorder.
“evidence in humans implicates orbitofrontal (OFC), dorsolateral/ventrolateral (dl/vl), as well as medial PFC (mPFC)/anterior cingulate cortex (ACC) in MDD [15][16][17]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15][16][17]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
Functional heterogeneity of prefrontal cortex contributions is key to understanding individual variation in the etiology, pathophysiology, and treatment of major depressive disorder.
“we focus on the functional heterogeneity of PFC contributions which we suggest is key to understanding the marked individual variation in the etiology, pathophysiology and treatment of MDD.”
Quote in the paperNot a substantial claim - Interpretationnone given
Information about functional and structural prefrontal cortex abnormalities in major depressive disorder has not translated into better treatment and prevention strategies.
“this information has not translated into better treatment and prevention strategies.”
Quote in the paperNot a substantial claim - Premisecitation
Prefrontal structural and functional organization of non-human primates is far more similar to humans than that of rodents.
“Prefrontal structural and functional organization of non-human primates (NHP) is far similar to humans than that of rodents [11][12][13][14]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11][12][13][14]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Traditionally, the focus in depression-relevant rodent studies has been on consumption, for example the sucrose preference test.
“Whilst traditionally the focus in depression-relevant rodent studies has been on consumption (e.g., sucrose preference test [22][23][24])”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22][23][24]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Chronic stress models have provided the majority of insight into prefrontal cortex contributions to depression.
“but of these, chronic stress models have provided the majority of insight into PFC contributions and are discussed here.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [67] Gururajan A, Reif A, Cryan JF, Slattery DA. The future of rodent models in depression research. Nat Rev Neurosci. 2019;20:686–701. source
- Interpretationreasoning
Insight gained into the potential contribution of a particular brain region to depressive symptoms by studying the effects of a selective intervention within that region may be limited, especially if those interventions are acute, because changes in depression do not occur in isolation and are not acute.
“The insight gained into the potential contribution to depressive symptoms of a particular brain region by studying the effects of a selective intervention within that region may be limited, especially if those interventions are acute, since any such changes in depression do not occur in isolation and are not acute.”
Quote in the paperSubstantial claim - Interpretationreasoning
Downregulation of subgenual anterior cingulate cortex activity and connectivity is key for electroconvulsive therapy response.
“Together, these findings indicate downregulation of sgACC activity and connectivity is key for ECT response.”
Quote in the paperSubstantial claim - Premisecitation
Modest progress in understanding and treating major depressive disorder is due in part to inattention to the vast heterogeneity of MDD, imprecise translational models, and lack of cross-species integration.
“There are multiple possible reasons for this modest progress, including inattention to the vast heterogeneity of MDD, imprecise translational models, and lack of cross-species integration [3][4][5][6].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3][4][5][6]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
The prefrontal cortex plays a critical role in depressive states.
“highlighting the critical role of the prefrontal cortex (PFC) in depressive states.”
Quote in the paperNot a substantial claim - Premisecitation
A persistent depressive-like phenotype has been induced by exposing experimental animals to uncontrollable, chronic physical and/or psychological stress, a known risk factor for depression.
“a persistent depressive-like phenotype has been induced by exposing experimental animals to uncontrollable, chronic physical and/or psychological stress [64,65], a known risk factor for depression [66].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [64] O’Leary OF, Cryan JF. Towards translational rodent models of depression. Cell Tissue Res. 2013;354:141–53. source
- cites [65] Cabib S, Puglisi-Allegra S. The mesoaccumbens dopamine in coping with stress. Neurosci Biobehav Rev. 2012;36:79–89. source
- cites [66] Hammen C. Stress and depression. Annu Rev Clin Psychol. 2005;1:293–319. source
- Premisenone given
Dorsolateral/ventrolateral prefrontal cortex has no known homologous or analogous regions in rodents.
“dl/vlPFC, in particular, having no known homologous or analogous regions in rodents.”
Quote in the paperNot a substantial claim - Premisenone given
Comparison across human studies is hampered by the use of different nomenclatures to describe distinct prefrontal regions.
“Translational opportunities can also be hampered when comparing across human studies because of the use of different nomenclatures to describe distinct prefrontal regions”
Quote in the paperNot a substantial claim - Premisecitation
A link between major depressive disorder and gray matter volume reduction in the anterior cingulate cortex at the juncture between the perigenual and dorsal anterior cingulate cortex was confirmed in a later meta-analysis.
“A link between MDD and gray matter volume (GMV) reduction in the ACC (at the juncture between the pgACC and dACC) was confirmed in a later meta-analysis [80].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] Lai CH. Gray matter volume in major depressive disorder: a meta-analysis of voxel-based morphometry studies. Psychiatry Res Neuroimaging. 2013;211:37–46. source
- Premisenone given
Functional and structural prefrontal cortex abnormalities have been reported in individuals with current major depressive disorder and in those at increased vulnerability to major depressive disorder.
“Although functional and structural PFC abnormalities have been reported in both individuals with current MDD as well as those at increased vulnerability to MDD, this information has not translated into better treatment and prevention strategies.”
Quote in the paperSubstantial claim - Premisecitation
The forced swim test and tail suspension test do not capture the central tenet of learned helplessness.
“While superficially, the FST and TST appear to link to concepts of learned helplessness in that animals learn that their actions are ineffective, they do not capture the central tenet of learned helplessness [60]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] Vollmayr B, Gass P. Learned helplessness: unique features and translational value of a cognitive depression model. Cell Tissue Res. 2013;354:171–8. source
- Premisecitation
Major depressive disorder-related deficits in different sub-domains of reward processing, including incentive motivation, valuation, and reward learning, are associated with frontostriatal abnormalities.
“In general, these syntheses have highlighted that MDD-related deficits in different sub-domains of reward processingincluding incentive motivation (reward anticipation), valuation (reward consumption), and reward learningare associated with frontostriatal abnormalities.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3,[100][101][102][103][104]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Structural findings point to structural reductions in medial prefrontal cortex regions, particularly various anterior cingulate cortex subdivisions.
“Altogether, these findings point to structural reductions in mPFC regions, particularly various ACC subdivisions.”
Quote in the paperSubstantial claim - Premisecitation
In a 3-year prospective study, major depressive disorder patients with larger volumes in subgenual, perigenual, and dorsal anterior cingulate cortex regions had better outcomes, with fewer hospitalizations, than those with smaller volumes.
“In a 3-year prospective study, MDD patients with larger volumes in similar ACC regions (sgACC, pgACC and dACC) had better outcomes (fewer hospitalizations) than those with smaller volumes [82].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [82] Frodl T, Jager M, Born C, Ritter S, Kraft E, Zetzsche T, et al. Anterior cingulate cortex does not differ between patients with major depression and healthy controls, but relatively large anterior cingulate cortex predicts a good clinical course. Psychiatry Res. 2008;163:76–83. source
- Premisecitation
MDD is linked to blunted RPE in medial OFC.
“These studies have generally linked MDD to blunted RPE in the ventral and dorsal striatum [122-124] (but see [125,126] for important lack of replication), pgACC [127] and medial OFC [126], and greater RPE in the ventral striatum predicted reductions in anhedonia 6 months later [128].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [126] Rothkirch M, Tonn J, Köhler S, Sterzer P. Neural mechanisms of reinforcement learning in unmedicated patients with major depressive disorder. Brain. 2017;140:1147–57. source
- Premisecitation
Relative to healthy controls, unaffected individuals with a family history of MDD had significantly lower dlPFC (BA6) activation to risky choices in the Iowa Gambling task.
“Specifically, relative to healthy controls, unaffected individuals with a family history of MDD had significantly lower dlPFC (BA6) activation to risky choices in the Iowa Gambling task [134].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [134] Ding Y, Pereira F, Hoehne A, Beaulieu MM, Lepage M, Turecki G, et al. Altered brain processing of decision-making in healthy first-degree biological relatives of suicide completers. Mol Psychiatry. 2017;22:1149–54. source
- Interpretationcitation
Some reward-related learning abnormalities do not normalize after recovery.
“Moreover, although fully remitted individuals showed normative ventral striatum RPE, they had greater RPE in the VTA [109], suggesting that some reward-related learning abnormalities do not normalize after recovery.”
Quote in the paperSubstantial claim - Premisecitation
In an instrumental reinforcement learning task, unmedicated individuals with MDD showed increasingly blunted medial OFC and ventral striatal RPE that correlated with anhedonia.
“In an instrumental reinforcement learning task, unmedicated individuals with MDD showed increasingly blunted medial OFC and ventral striatal RPE that correlated with anhedonia [126].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [126] Rothkirch M, Tonn J, Köhler S, Sterzer P. Neural mechanisms of reinforcement learning in unmedicated patients with major depressive disorder. Brain. 2017;140:1147–57. source
- Interpretationnone given
Across reward subdomains, MDD has been generally linked to blunted activation to reward-related cues within ventral and dorsal striatal regions, perigenual and dorsal ACC regions, and central and medial OFC.
“As summarized in Fig. 6a and Table 1, across reward subdomains, MDD has been generally linked to blunted activation to reward-related cues within ventral and dorsal striatal regions, perigenual and dorsal ACC regions, and central and medial OFC.”
Quote in the paperSubstantial claim - Premisecitation
Such dysfunctions did not emerge in unaffected co-twins (high-risk group).
“Interestingly, such dysfunctions did not emerge in their unaffected co-twins (high-risk group), suggesting that they might represent scars (as opposed to pre-existing vulnerabilities) of depression.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [130] Macoveanu J, Meluken I, Chase HW, Phillips ML, Kessing LV, Siebner HR, et al. Reduced frontostriatal response to expected value and reward prediction error in remitted monozygotic twins with mood disorders and their unaffected high-risk co-twins. Psychol Med. 2020;1–10. https://doi.org/10.1017/S0033291720000367. Online ahead of print. source
- Interpretationreasoning
The dysfunctions in fully remitted MZ twins might represent scars of depression rather than pre-existing vulnerabilities.
“Interestingly, such dysfunctions did not emerge in their unaffected co-twins (high-risk group), suggesting that they might represent scars (as opposed to pre-existing vulnerabilities) of depression.”
Quote in the paperSubstantial claim - Premisecitation
MDD is linked to blunted RPE in pgACC.
“These studies have generally linked MDD to blunted RPE in the ventral and dorsal striatum [122-124] (but see [125,126] for important lack of replication), pgACC [127] and medial OFC [126], and greater RPE in the ventral striatum predicted reductions in anhedonia 6 months later [128].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] Ubl B, Kuehner C, Kirsch P, Ruttorf M, Diener C, Flor H. Altered neural reward and loss processing and prediction error signalling in depression. Soc Cogn Affect Neurosci. 2014;10:1102–12. source
- Interpretationreasoning
This region in a primate may have a primary role in generating/maintaining negative affect which acts to dampen responsivity to reward.
“Thus, overall, this region in a primate may have a primary role in generating/maintaining negative affect which acts to dampen responsivity to reward.”
Quote in the paperSubstantial claim - Premisecitation
A reduction in sucrose preference followed weekly infusions of a 5-HT2a agonist into lateral OFC, mirroring the effects seen following chronic stress.
“Specifically, a reduction in sucrose preference followed weekly infusions of a 5-HT2a agonist into lateral OFC, mirroring the effects seen following chronic stress [141].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [141] Xu C, Ma XM, Chen HBin, Zhou MH, Qiao H, AN SC. Orbitofrontal cortex 5-HT2A receptor mediates chronic stress-induced depressive-like behaviors and alterations of spine density and Kalirin7. Neuropharmacology . 2016;109:7–17. source
- Interpretationcitation
Such abnormalities precede the onset of MDD.
“Greater pgACC (and amygdalar) activation in response to negative stimuli, coupled with reduced activation in bilateral inferior frontal regions, emerged also among women with subthreshold depressive symptoms [180], suggesting that such abnormalities precede the onset of MDD.”
Quote in the paperSubstantial claim - Interpretationreasoning
The long-term effects of ILc activation are antidepressant-like.
“The latter suggests that the delayed actions of ketamine are dependent upon an intact ILc at the time of the ketamine infusion and may be more consistent with the hypothesis that the long-term effects of ILc activation are antidepressant-like.”
Quote in the paperSubstantial claim - Premisecitation
Unmedicated individuals with MDD showed decreased FC between the OFC and dACC during implicit and explicit emotional tasks.
“Using a region-of-interest approach targeting the central OFC, Frodl et al. found that, relative to controls, unmedicated individuals with MDD showed decreased FC between the OFC and dACC [165] during implicit and explicit emotional tasks but increased connectivity between the OFC and various PFC regions (including the right dlPFC).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [165] Frodl T, Bokde ALW, Scheuerecker J, Lisiecka D, Schoepf V, Hampel H, et al. Functional connectivity bias of the orbitofrontal cortex in drug-free patients with major depression. Biol Psychiatry. 2010;67:161–7. source
- Interpretationcitation
MDD and vulnerability to depression in youth samples are characterized by increased coupling between PFC regions implicated in processing negative self-referential information (vmPFC) and the amygdala.
“Collectively, these findings highlight that MDD and vulnerability to depression in youth samples are characterized by (1) dlPFC hypo-activation to emotional (mostly, negative) stimuli, (2) hyper-activity in limbic regions implicated in responding to emotional cues (pgACC, amygdala), (3) increased coupling between PFC regions implicated in processing negative selfreferential information (vmPFC) and”
Quote in the paperSubstantial claim - Premisecitation
Over-activation of neighboring area 14 within primate medial OFC/caudal vmPFC caused a similar blunting of anticipatory but not consummatory arousal.
“The selectivity of these findings was illustrated by the lack of such effects following activation or inactivation of area 32; interestingly, a similar blunting of anticipatory but not consummatory arousal was also seen following over-activation of neighboring area 14 within primate medial OFC/caudal vmPFC [142].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [142] Stawicka ZM, Massoudi R, Horst NK, Koda K, Alexander L, Cockcroft GJ, et al. Ventromedial prefrontal area 14 provides opposing regulation of threat and reward-elicited responses in the common marmoset. PNAS. 2020;117:25116–27. source
- Premisecitation
Unmedicated individuals with MDD showed increased connectivity between the OFC and various PFC regions including the right dlPFC.
“Using a region-of-interest approach targeting the central OFC, Frodl et al. found that, relative to controls, unmedicated individuals with MDD showed decreased FC between the OFC and dACC [165] during implicit and explicit emotional tasks but increased connectivity between the OFC and various PFC regions (including the right dlPFC).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [165] Frodl T, Bokde ALW, Scheuerecker J, Lisiecka D, Schoepf V, Hampel H, et al. Functional connectivity bias of the orbitofrontal cortex in drug-free patients with major depression. Biol Psychiatry. 2010;67:161–7. source
- Interpretationcitation
The delayed actions of ketamine are dependent upon an intact ILc at the time of the ketamine infusion.
“The latter suggests that the delayed actions of ketamine are dependent upon an intact ILc at the time of the ketamine infusion and may be more consistent with the hypothesis that the long-term effects of ILc activation are antidepressant-like.”
Quote in the paperSubstantial claim - Premisecitation
Amygdalar hyper-activation to negative faces was reported in a similar offspring sample (mean age: 14 years).
“Whereas amygdalar hyper-activation to negative faces was reported in a similar offspring sample (mean age: 14 years) [186], the PFC findings contrast with reports of blunted dlPFC activation (and normative amygdalar responses) to fearful faces [187] and a sad mood induction [188] among asymptomatic offspring of MDD patients (16-21 years old and 9-14 years old, respectively).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [186] Monk CS, Klein RG, Telzer EH, Schroth EA, Mannuzza S, Moulton JL 3rd, et al. Amygdala and nucleus accumbens activation to emotional facial expressions in children and adolescents at risk for major depression. Am J Psychiatry. 2008;165:90–98. source
- Premisecitation
Only inactivation of area 14 (and not area 25) induced marked increases in cardiovascular and behavioral arousal.
“However, only inactivation of area 14 (and not area 25) induced marked increases (Fig. 7) in cardiovascular and behavioral arousal.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [142] Stawicka ZM, Massoudi R, Horst NK, Koda K, Alexander L, Cockcroft GJ, et al. Ventromedial prefrontal area 14 provides opposing regulation of threat and reward-elicited responses in the common marmoset. PNAS. 2020;117:25116–27. source
- Interpretationreasoning
The weight of evidence supports the hypothesis that acute ILc activation blunts reward processing, potentially through its projections into the nucleus accumbens.
“The weight of evidence so far though does support the hypothesis that acute ILc activation blunts reward processing, potentially through its projections into the nucleus accumbens which would appear consistent with the heightened activation of sgACC in MDD reported above.”
Quote in the paperSubstantial claim - Interpretationcitation
The frontostriatal circuit is important in the generation of negative biases.
“suggesting the importance of this frontostriatal circuit in the generation of negative biases.”
Quote in the paperSubstantial claim - Interpretationreasoning
The hypothesis that altered action-outcome learning explains negative biases is unlikely to explain negative biases following manipulations in central OFC and vlPFC.
“Such hypothesis is unlikely to explain the negative biases that have also been reported following manipulations in the central OFC and vlPFC.”
Quote in the paperSubstantial claim - Interpretationreasoning
Such hyper-responses are coupled with deficits in recruiting regions critically implicated in cognitive control and emotional regulation, such as the dlPFC and dACC.
“Such hyper-responses are coupled with deficits in recruiting regions critically implicated in cognitive control and emotional regulation, such as the dlPFC and dACC, and are also reflected in disrupted coupling between PFC regions implicated in (1) cognitive control of emotion (dmPFC) and the amygdala (reduced coupling) and (2) processing negative selfreferential information (vmPFC) and the”
Quote in the paperSubstantial claim - Interpretationreasoning
MDD has been associated with multiple PFC abnormalities that can give rise and maintain negative processing biases.
“Thus, MDD has been associated with multiple PFC abnormalities that can give rise and maintain negative processing biases.”
Quote in the paperSubstantial claim - Interpretationnone given
Negative processing bias are accompanied by hyper-activation of various limbic/paralimbic regions, most prominently the pgACC and sgACC (as well as the amygdala).
“Imaging studies have clarified that negative processing bias are accompanied by hyper-activation of various limbic/paralimbic regions, most prominently the pgACC and sgACC (as well as the amygdala) (Fig. 6b).”
Quote in the paperSubstantial claim - Interpretationnone given
Many of these abnormalities precede the onset of MDD, since they are present in never-depressed youth with increased MDD vulnerability.
“Critically, many of these abnormalities precede the onset of MDD, since they are present in never-depressed youth with increased MDD vulnerability.”
Quote in the paperNot a substantial claim - Premisecitation
Ketamine infusion reduced FC between the pgACC and dACC.
“Specifically, ketamine infusion reduced (1) hyperactivation in the sgACC (BA25) to positive feedback [121], (2) FC between the pgACC and dACC [199], and (3) FC between the sgACC and limbic regions (e.g., hippocampus) [121].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [199] Chen MH, Lin WC, Tu PC, Li CT, Bai YM, Tsai SJ, et al. Antidepressant and antisuicidal effects of ketamine on the functional connectivity of prefrontal cortex-related circuits in treatment-resistant depression: a double-blind, placebo-controlled, randomized, longitudinal resting fMRI study. J Affect Disord. 2019;259:15–20. source
- Premisecitation
Antidepressant treatment was associated with increased activation in response to positive stimuli or emotions in the rostral vmPFC (BA10), dlPFC (BA9) and pgACC (BA32) and the amygdala.
“Thus, antidepressant treatment (mostly SSRI and SNRI) was associated with decreased activation to negative stimuli or emotions in the middle frontal gyrus (BA10 and pgACC) (as well as limbic regions, including the amygdala) but increased activation in response to positive stimuli or emotions in the rostral vmPFC (BA10), dlPFC (BA9) and pgACC (BA32) (as well as the amygdala).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [198] Ma Y. Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis. Mol Psychiatry. 2015;20:311–9. source
- Interpretationreasoning
Negative processing biases are reflected in increased coupling between vmPFC and the amygdala.
“Such hyper-responses are coupled with deficits in recruiting regions critically implicated in cognitive control and emotional regulation, such as the dlPFC and dACC, and are also reflected in disrupted coupling between PFC regions implicated in (1) cognitive control of emotion (dmPFC) and the amygdala (reduced coupling) and (2) processing negative selfreferential information (vmPFC) and the”
Quote in the paperSubstantial claim - Premisecitation
Among healthy controls, appraisal of negative vs. positive stimuli elicits stronger functional coupling between the amygdala and both the dACC and dlPFC.
“These findings are important since, among healthy controls, appraisal of negative vs. positive stimuli elicits stronger functional coupling between the amygdala and both the dACC and dlPFC [201].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [201] Comte M, Schön D, Coull JT, Reynaud E, Khalfa S, Belzeaux R, et al. Dissociating bottom-up and top-down mechanisms in the cortico-limbic system during emotion processing. Cereb Cortex. 2016;26:144–55. source
- Interpretationreasoning
In MDD, pharmacological antidepressant treatments normalize brain activation in regions implicated in mood-congruent processing biases (vmPFC, pgACC, mPFC) as well as those implicated in emotion regulation and cognitive control (dlPFC).
“Collectively, these findings suggest that, in MDD, pharmacological antidepressant treatments normalize brain activation in regions implicated in moodcongruent processing biases (vmPFC, pgACC, mPFC) as well as those implicated in emotion regulation and cognitive control (dlPFC).”
Quote in the paperSubstantial claim - Premisecitation
Antidepressant treatment (mostly SSRI and SNRI) was associated with decreased activation to negative stimuli or emotions in the middle frontal gyrus (BA10 and pgACC) and limbic regions including the amygdala.
“Thus, antidepressant treatment (mostly SSRI and SNRI) was associated with decreased activation to negative stimuli or emotions in the middle frontal gyrus (BA10 and pgACC) (as well as limbic regions, including the amygdala) but increased activation in response to positive stimuli or emotions in the rostral vmPFC (BA10), dlPFC (BA9) and pgACC (BA32) (as well as the amygdala).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [198] Ma Y. Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis. Mol Psychiatry. 2015;20:311–9. source
- Interpretationcitation
PFC abnormalities (as well as corticolimbic coupling) associated with negative processing biases are ameliorated by antidepressant treatments.
“Growing evidence indicates that PFC abnormalities (as well as corticolimbic coupling) associated with negative processing biases are ameliorated by antidepressant treatments.”
Quote in the paperSubstantial claim - Interpretationreasoning
SSRI treatment reduced negative processing biases.
“Of note, such change was driven by a reduction in pgACC activation to sad faces and increased activation to happy faces, suggesting that SSRI treatment reduced negative processing biases.”
Quote in the paperSubstantial claim - Premisecitation
Antidepressant treatments increased dlPFC (BA9) activation during both positive and negative emotions.
“In addition, antidepressant treatments increased dlPFC (BA9) activation during both positive and negative emotions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [198] Ma Y. Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis. Mol Psychiatry. 2015;20:311–9. source
- Interpretationreasoning
Negative processing biases are reflected in reduced coupling between dmPFC and the amygdala.
“Such hyper-responses are coupled with deficits in recruiting regions critically implicated in cognitive control and emotional regulation, such as the dlPFC and dACC, and are also reflected in disrupted coupling between PFC regions implicated in (1) cognitive control of emotion (dmPFC) and the amygdala (reduced coupling) and (2) processing negative selfreferential information (vmPFC) and the”
Quote in the paperSubstantial claim - Premisecitation
Reduced dACC-pgACC FC correlated with a reduction in suicidal ideation.
“Critically, increased pretreatment FC between the sgACC and amygdala predicted nonresponse to ketamine [200] and reduced dACC-pgACC FC correlated with a reduction in suicidal ideation [199].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [199] Chen MH, Lin WC, Tu PC, Li CT, Bai YM, Tsai SJ, et al. Antidepressant and antisuicidal effects of ketamine on the functional connectivity of prefrontal cortex-related circuits in treatment-resistant depression: a double-blind, placebo-controlled, randomized, longitudinal resting fMRI study. J Affect Disord. 2019;259:15–20. source
- Interpretationreasoning
Disruption of these mechanisms could distort the perception of controllability apparent in MDD.
“Disruption of any of these mechanisms could distort the perception of controllability apparent in MDD.”
Quote in the paperSubstantial claim - Interpretationnone given
Decreases and increases in active responding on FST and TST more likely reflect shifts between active and passive coping, rather than chronic despair or learned helplessness per se.
“decreases and increases in active responding on FST and TST more likely reflect, respectively, shifts in active to passive coping, and vice versa, rather than being related to chronic despair or learned helplessness per se.”
Quote in the paperNot a substantial claim - Interpretationreasoning
PLc actively protects behavior from the deleterious consequences of stress.
“these findings are consistent with the hypothesis that PLc actively protects behavior from the deleterious consequences of such stress.”
Quote in the paperSubstantial claim - Interpretationreasoning
Cognitive dysfunction likely contributes to deficits in despair, negative bias, and blunted reward processing.
“cognitive dysfunction is likely to contribute to the deficits seen in the other domains, including despair, negative bias and blunted reward processing.”
Quote in the paperSubstantial claim - Interpretationcitation
The delayed actions of ketamine are dependent upon an intact IL at the time of the ketamine infusion.
“suggesting that the delayed actions of ketamine are dependent upon an intact IL at the time of the ketamine infusion.”
Quote in the paperSubstantial claim - Interpretationreasoning
PLc neurons projecting to the dorsal raphe nucleus are in a position to inhibit the prolonged release of serotonin associated with uncontrollability.
“and thus are in a position to inhibit the prolonged release of serotonin associated with uncontrollability.”
Quote in the paperSubstantial claim - Premisenone given
Rodents subject to chronic stress as adults show associated behavioral changes.
“(ii) associated behavioral changes”
Quote in the paperSubstantial claim - Interpretationreasoning
Individual variation in MDD may arise from interaction between overlapping dysfunctional domains.
“ultimately the individual variation in MDD may arise from the interaction between overlapping dysfunctional domains.”
Quote in the paperSubstantial claim - Interpretationreasoning
Differential dysregulation of PFC regions may markedly impact interindividual differences in sensitivity to pharmacotherapies.
“their differential dysregulation may have a marked impact on interindividual differences in sensitivity to pharmacotherapies making our ability to distinguish between them, essential.”
Quote in the paperSubstantial claim - Premisenone given
In MDD samples compared to healthy controls, some brain regions show higher activation and others lower activation.
“Regions highlighted in orange and blue show higher activation and lower activation, respectively, in MDD samples than healthy controls (HC).”
Quote in the paperSubstantial claim - Interpretationreasoning
Variation in etiology and treatment response may partly come from differences in the form of prefrontal dysregulation (e.g., over-activation in sgACC/lateral OFC, under-activation of central OFC/dlPFC).
“We propose that, in part, variation in etiology and treatment response may come from differences in the form that prefrontal dysregulation takes in individuals e.g., over-activation in sgACC and/or lateral OFC and under-activation of central OFC and/or dlPFC.”
Quote in the paperSubstantial claim - Interpretationreasoning
PFC abnormalities in MDD show opposite patterns depending on the functional domains under investigation.
“PFC abnormalities in MDD show opposite patterns depending on the functional domains under investigation.”
Quote in the paperSubstantial claim - Interpretationreasoning
Several disruptions in MDD also emerge in never-depressed, symptom-free, first-degree relatives of MDD individuals, suggesting they are markers of vulnerability.
“several of these disruptions have emerged also in neverdepressed, symptom-free, first-degree relatives of individuals with MDD, suggesting that they represent markers of vulnerability.”
Quote in the paperSubstantial claim - Interpretationnone given
Showing that an intervention affects a computational process in similar ways across species greatly reduces the translational divide.
“showing that an intervention (e.g., a given pharmacological manipulation) affects a computational process in similar ways across species greatly reduces the translational divide”
Quote in the paperSubstantial claim - Interpretationcitation
Amygdalar hyperactivity to negative stimuli has an early and persistent course in depression.
“Highlighting an early and persistent course, amygdalar hyperactivity to negative stimuli has been reported in depressed children as young as 4-6 years old [173], persisted among adolescents with MDD [174], and emerged in fully remitted adults with past MDD [168].”
Quote in the paperSubstantial claim - Interpretationnone given
Chronic stress models and interventions in otherwise healthy animals provide causal evidence that PFC dysregulation (including OFC and ACC) induces intermediate phenotypes of MDD.
“results from chronic stress models and interventions in otherwise healthy animals provide causal evidence for the induction of these intermediate phenotypes of MDD by dysregulation in the PFC, including the OFC and ACC.”
Quote in the paperSubstantial claim- Rests on an assumption: Functional homology exists between PFC regions in rodents/monkeys and humans such that findings in animals can inform MDD.
- Rests on an assumption: The intermediate phenotypes (anhedonia, negative bias, learned helplessness) are valid constructs that map onto MDD.
- Rests on an assumption: Chronic stress models in animals are valid models of MDD.
- Premisenone given
Interventions within the medial PFC and OFC ameliorate the behavioral changes in rodents subject to chronic stress as adults.
“(iii) interventions within the medial PFC and OFC that ameliorate the behavioral changes.”
Quote in the paperSubstantial claim - Interpretationnone given
Negative biases are multi-determined, contributed to by altered activity in primate areas 24, 32, OFC, and vlPFC.
“Negative biases are also multi-determined contributed to by altered activity in primate areas 24, 32, OFC and vlPFC.”
Quote in the paperNot a substantial claim - Interpretationreasoning
PFC dysfunction is strongly implicated in MDD, with functional, structural, and systems-level abnormalities spanning many PFC regions.
“A vast literature has strongly implicated PFC dysfunction in MDD, revealing functional, structural, and systems-level abnormalities that span many PFC regions.”
Quote in the paperSubstantial claim - Premisecitation
Rodents subject to chronic stress as adults show structural and physiological changes in the medial prefrontal cortex (medial PFC) and orbitofrontal cortex (OFC).
“Summary of findings in rodents subject to chronic stress as adults revealing (i) structural and physiological changes in the medial prefrontal cortex (medial PFC) and orbitofrontal cortex (OFC)”
Quote in the paperSubstantial claim - Interpretationreasoning
Disrupted frontostriatal, frontolimbic, and corticocortical circuits in MDD are critically implicated in emergence and maintenance of anhedonic phenotypes, negative processing biases, and learned helplessness.
“Collectively, this literature highlights disrupted frontostriatal, frontolimbic, and corticocortical disruptions in MDD that appear to be critically implicated in the emergence and maintenance of anhedonic phenotypes, negative processing biases, and learned helplessness (despair).”
Quote in the paperNot a substantial claim - Premisecitation
Amygdalar hyperactivity to negative stimuli persisted among adolescents with MDD.
“persisted among adolescents with MDD [174]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [174] Roberson-Nay R, McClure EB, Monk CS, Nelson EE, Guyer AE, Fromm SJ, et al. Increased amygdala activity during successful memory encoding in adolescent major depressive disorder: an fMRI study. Biol Psychiatry. 2006;60:966–73. source
- Interpretationreasoning
Behaviors measured by FST, TST, and other tests are multi-determined, dependent upon a variety of functions including those associated with PLc, ILc, and OFC.
“thereby supporting the hypothesis that the behaviors measured by these tests are multi-determined, dependent upon a variety of functions including those associated with PLc, ILc and OFC.”
Quote in the paperSubstantial claim - Interpretationreasoning
Dysregulation within medial PFC and OFC is implicated in relation to the behavioral changes associated with chronic stress.
“Both (i) and (iii) implicate dysregulation within medial PFC and OFC in relation to the behavioral changes associated with chronic stress.”
Quote in the paperSubstantial claim
- May combine two claims. 103
- Classified as probably not a substantial claim. 14
May combine two claims.
PremisecitationIn tasks probing consummatory anhedonia, major depressive disorder has been associated with reduced activation in ventral and dorsal striatum, anterior cingulate cortex, and orbitofrontal cortex but hyperactivation in medial prefrontal cortex, ventromedial prefrontal cortex including subgenual anterior cingulate cortex, and dorsolateral prefrontal cortex.
“In tasks probing consummatory anhedonia (e.g., receipt of secondary rewards such as money), MDD has been associated with reduced activation in ventral (nucleus accumbens) and dorsal (caudate, putamen) striatum, ACC (rostral, dorsal), and OFC but hyperactivation in the mPFC, vmPFC (including sgACC) and dlPFC [100, 102, 104].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [100] Zhang B, Lin P, Shi H, Öngür D, Auerbach RP, Wang X, et al. Mapping anhedonia-specific dysfunction in a transdiagnostic approach: an ALE meta-analysis. Brain Imaging Behav. 2016;10:920–39. source
Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [102] Borsini A, Wallis ASJ, Zunszain P, Pariante CM, Kempton MJ. Characterizing anhedonia: a systematic review of neuroimaging across the subtypes of reward processing deficits in depression. Cogn Affect Behav Neurosci. 2020;20:816–41. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [104] O’Callaghan G, Stringaris A. Reward processing in adolescent depression across neuroimaging modalities: a review. Z Kinder Jugendpsychiatr Psychother. 2019;47:535–41. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationBoth forms of inflexibility occur after chronic stress; only stress-induced attentional set-shifting deficits are prevented by adrenergic receptor agonist cocktail into mPFC, while reversal learning deficits remain.
“Both forms of inflexibility have been reported following chronic stress but only stress-induced attentional set-shifting deficits were prevented by localized infusions of a cocktail of alpha 1, beta 1 and beta 2 adrenergic receptor agonists into the mPFC before each stress session of the chronic treatment period [257], whilst stress-induced reversal learning deficits remain.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [257] Jett JD, Morilak DA. Too much of a good thing: blocking noradrenergic facilitation in medial prefrontal cortex prevents the detrimental effects of chronic stress on cognition. Neuropsychopharmacology. 2013;38:585–95. source
The Discussion reports that chronic stress impaired both ED set-shifting and reversal learning, and that the mPFC treatment prevented only the set-shifting deficit. But the Figure 4 caption and Experiment 2 identify the infused drugs as α1-, β1-, and β2-adrenergic receptor antagonists, not agonists. The claim reverses the identity of the intervention responsible for the reported effect. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAlternative accounts suggest that the forced swim test and tail suspension test measure adaptive learned responses to acute stress and reflect a natural shift from active to passive coping strategies, distinct from behavioral despair.
“Alternative accounts suggest instead that these tests measure adaptive learned responses to acute stress and reflect a natural shift from active to passive coping strategies [53,54] as distinct from behavioral despair.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [53] De Kloet ER, Molendijk ML. Coping with the forced swim stressor: towards understanding an adaptive mechanism. Neural Plast. 2016;2016:6503162. https://doi.org/10.1155/2016/6503162. source
The Introduction describes the forced swim test’s shift from active to passive behavior as an adaptive learning process, and §2.1 distinguishes that account from behavioral despair. The paper mentions tail suspension in §2.2, but does not extend its adaptive-learning account to that test. Page numbers were not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [54] Commons KG, Cholanians AB, Babb JA, Ehlinger DG. The rodent forced swim test measures stress-coping strategy, not depression-like behavior. ACS Chem Neurosci. 2017;8:955–60. source
The Introduction describes the forced swim test’s normal shift from active to passive coping as potentially adaptive rather than a coping failure, and says the tail suspension test likewise measures active or passive coping rather than depression-like behavior directly (page not available). It does not establish that the responses measured by both tests are learned, so that part of the claim is unsupported. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn a sample of 421 individuals with major depressive disorder and 488 healthy controls, reduced resting state functional connectivity emerged between the central orbitofrontal cortex and memory-related regions, with increasingly weaker connectivity correlating with higher depression severity.
“In a sample of 421 individuals with MDD and 488 healthy controls, reduced rsFC emerged in MDD between the central OFC (BA13) and memory-related regions (e.g., parahippocampal gyrus), with increasingly weaker rsFC correlating with higher depression severity [71].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [71] Cheng W, Rolls ET, Qiu J, Liu W, Tang Y, Huang CC, et al. Medial reward and lateral non-reward orbitofrontal cortex circuits change in opposite directions in depression. Brain. 2016;139:3296–309. source
May combine two claims.
PremisecitationIn treatment-resistant depression, higher pre-treatment resting state activity in a region between the perigenual anterior cingulate cortex and subgenual anterior cingulate cortex was found, a course of electroconvulsive therapy normalized activity in this region and its connectivity with the ventromedial prefrontal cortex, and higher pretreatment subgenual anterior cingulate cortex activity predi
“In a similar study [77], TRD was characterized by higher pre-treatment resting state activity in a region between the pgACC and sgACC, and a course of ECT treatment normalized activity in this region and its connectivity with the vmPFC; moreover, higher pretreatment sgACC activity predicted better response to ECT.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [77] Argyelan M, Lencz T, Kaliora S, Sarpal DK, Weissman N, Kingsley PB, et al. Subgenual cingulate cortical activity predicts the efficacy of electroconvulsive therapy. Transl Psychiatry. 2016;6:e789. https://doi.org/10.1038/tp.2016.54. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationStructural abnormalities spanning the subgenual anterior cingulate cortex and orbitofrontal cortex emerge early in major depressive disorder and affect regions playing a key role in the regulation of negative emotion, value representation, and self-referential processing.
“Thus, structural abnormalities spanning the sgACC and OFC emerge early in MDD and affect regions playing a key role in the regulation of negative emotion, value representation, and self-referential processing [17].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Hiser J, Koenigs M. The multifaceted role of the ventromedial prefrontal cortex in emotion, decision making, social cognition, and psychopathology. Biol Psychiatry. 2018;83:638–47. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAlthough some abnormalities persist after remission, including orbitofrontal cortex hypo-responses to rewards and inability to sustain ventral striatal responses to positive cues, acute striatal responses to rewards appear to normalize in individuals with past major depressive disorder.
“Finally, although some abnormalities persist after remission (e.g., OFC hypo-responses to rewards [107], inability to sustain ventral striatal responses to positive cues [108]), acute striatal responses to rewards appear to normalize in individuals with past MDD [109].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [107] Dichter GS, Kozink RV, McClernon FJ, Smoski MJ. Remitted major depression is characterized by reward network hyperactivation during reward anticipation and hypoactivation during reward outcomes. J Affect Disord. 2012;136:1126–34. source
- cites [108] Admon R, Pizzagalli DA. Corticostriatal pathways contribute to the natural time course of positive mood. Nat Commun. 2015;6:10065. source
- cites [109] Geugies H, Mocking RJT, Figueroa CA, Groot PFC, Marsman JBC, Servaas MN, et al. Impaired reward-related learning signals in remitted unmedicated patients with recurrent depression. Brain. 2019;142:2510–22. source
May combine two claims.
PremisecitationAmong patients with TRD, a single ketamine infusion rapidly reduced anhedonic symptoms, and reduction in anhedonia correlated with decreased metabolism in the right lateral OFC and increased glucose metabolism in dACC.
“First, among patients with TRD, a single ketamine infusion rapidly reduced anhedonic symptoms, and reduction in anhedonia correlated with decreased metabolism in the right lateral OFC (as well as increased glucose metabolism in dACC) [116].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [116] Lally N, Nugent AC, Luckenbaugh DA, Niciu MJ, Roiser JP, Zarate CA. Neural correlates of change in major depressive disorder anhedonia following open-label ketamine. J Psychopharmacol. 2015;29:596–607. source
May combine two claims.
PremisecitationChanges in the dorsal anterior cingulate cortex emerged only in treatment responders, and early increases in dorsal anterior cingulate cortex cortical thickness 48 hours after the second electroconvulsive therapy administration predicted eventual clinical response.
“Changes in the dACC emerged only in treatment responders, and early increases in dACC cortical thickness 48 h after the second ECT administration predicted eventual clinical response.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [89] Pirnia T, Joshi SH, Leaver AM, Vasavada M, Njau S, Woods RP, et al. Electroconvulsive therapy and structural neuroplasticity in neocortical, limbic and paralimbic cortex. Transl Psychiatry. 2016;6:e832. https://doi.org/10.1038/tp.2016.102. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn reward anticipation tasks, MDD is associated with decreased activation in ventral and dorsal striatum and middle frontal gyrus (BA8), and hyperactivation in dlPFC and mPFC including pgACC and caudal vmPFC.
“In tasks probing reward anticipation, MDD has been linked to decreased activation in ventral and dorsal striatum as well as middle frontal gyrus (BA8), but hyperactivation in the dlPFC and mPFC including pgACC and caudal vmPFC [3,102,113].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [3] Pizzagalli DA. Depression, stress, and anhedonia: toward a synthesis and integrated model. Annu Rev Clin Psychol. 2014;10:393–423. source
The Introduction reports reduced activation in the nucleus accumbens, caudate, and putamen in MDD during reward processing, including anticipation and responses to reward-predicting cues. It does not report decreased middle frontal gyrus (BA8) activation or reward-anticipation hyperactivation in the dlPFC, pgACC, or caudal vmPFC. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [102] Borsini A, Wallis ASJ, Zunszain P, Pariante CM, Kempton MJ. Characterizing anhedonia: a systematic review of neuroimaging across the subtypes of reward processing deficits in depression. Cogn Affect Behav Neurosci. 2020;20:816–41. source
The Discussion’s “Summary of findings” (Reward wanting, anticipatory phase; page unavailable) reports striatal hypoactivation and a trend toward mPFC and dlPFC hyperactivation. But it reports a trend toward middle frontal gyrus hyperactivation, not the claimed decrease. The Results (Reward wanting; page unavailable) do not establish the specified BA8, pgACC, or caudal vmPFC locations; the reported mPFC and dlPFC finding was in adolescents with MDD. (LLM, conf=0.91)
Experimental — accuracy not yet measured - cites [113] Zhang WN, Chang SH, Guo LY, Zhang KL, Wang J. The neural correlates of reward-related processing in major depressive disorder: a meta-analysis of functional magnetic resonance imaging studies. J Affect Disord. 2013;151:531–9. source
May combine two claims.
PremisecitationImpaired cognitive control in chronic stress models includes response and attentional inflexibility, spatial working memory deficits, and insensitivity of goal-directed actions to action-outcome contingency and outcome value, although these may vary depending on the nature of the stressor.
“The latter includes response and attentional inflexibility [95], spatial working memory (WM) deficits [96] and insensitivity of goal-directed actions to action-outcome contingency and outcome value [93], although these may vary depending on the nature of the stressor.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [95] Liston C, Miller MM, Goldwater DS, Radley JJ, Rocher AB, Hof PR, et al. Stress-induced alterations in prefrontal cortical dendritic morphology predict selective impairments in perceptual attentional set-shifting. J Neurosci. 2006;26:7870–4. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [96] Mizoguchi K, Yuzurihara M, Ishige A, Sasaki H, Chui DH, Tabira T. Chronic stress induces impairment of spatial working memory because of prefrontal dopaminergic dysfunction. J Neurosci. 2000;20:1568–74. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [93] Dias-Ferreira E, Sousa JC, Melo I, Morgado P, Mesquita AR, Cerqueira JJ, et al. Chronic stress causes frontostriatal reorganization and affects decision-making. Science. 2009;325:621–5. source
May combine two claims.
PremisecitationDepressive symptoms at ages 16 and 19 could be predicted by potentiated lateral OFC activation to nonrewards, but not central OFC activation to rewards, at age 14.
“Critically, depressive symptoms at ages 16 and 19 could be predicted by potentiated lateral OFC activation to nonrewards, but not central OFC activation to rewards, at age 14.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [114] Xie C, Jia T, Rolls ET, Robbins TW, Sahakian BJ, Zhang J, et al. Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;6:259–69. source
The Longitudinal Approach section reports that lateral OFC activation to no win versus large win at age 14 was associated with depressive symptom scores at ages 16 and 19. It also reports that medial OFC activation at age 14 did not predict scores at either age. The claim says “central OFC,” whereas the paper identifies this reward-responsive region as medial OFC; it does not establish that the two labels refer to the same region. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn the IMAGEN study, during reward anticipation, individuals with higher depression severity had reduced sensitivity to differing reward values in central OFC (areas 11 and 13) but higher lateral OFC (area 12) activation to non-rewards at both age 14 and 19.
“In the IMAGEN study (N = 1877 at age 14, N = 1140 at age 19), during reward anticipation, individuals with higher depression severity had reduced sensitivity to differing reward values in the central regions of OFC (areas 11 and 13) but higher lateral OFC (area 12) activation to non-rewards (no-win outcome) at both age 14 and 19 (Fig. 5) [114]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [114] Xie C, Jia T, Rolls ET, Robbins TW, Sahakian BJ, Zhang J, et al. Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;6:259–69. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn a subclinical sample, adolescents with elevated depressive symptoms showed blunted perigenual anterior cingulate cortex and rostral ventromedial prefrontal cortex activation during reward consumption, with the former correlating with higher anhedonia.
“In a subclinical sample, adolescents with elevated depressive symptoms showed blunted pgACC and rostral vmPFC activation during reward consumption, with the former correlating with higher anhedonia [110].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [110] Rzepa E, Fisk J, McCabe C. Blunted neural response to anticipation, effort and consummation of reward and aversion in adolescents with depression symptomatology. J Psychopharmacol. 2017;31:303–11. source
May combine two claims.
PremisecitationIn a 5-year naturalistic prospective study, gray matter volume in the right dorsal anterior cingulate cortex and right inferior frontal gyrus contributed to disease trajectory predictions; larger volume in these areas predicted better clinical outcome and lower depressive symptoms over 5 years.
“study, GMV in the right dACC and right inferior frontal gyrus contributed to disease trajectory predictions; specifically, larger volume in these areas predicted better clinical outcome and lower depressive symptoms over 5 years [83].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [83] Serra-Blasco M, de Diego-Adeliño J, Vives-Gilabert Y, Trujols J, Puigdemont D, Carceller-Sindreu M, et al. Naturalistic course of major depressive disorder predicted by clinical and structural neuroimaging data: a 5-year follow-up. Depress Anxiety. 2016;33:1055–64. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAt age 19, blunted reward-related central OFC activation correlated with more anhedonic symptoms, whereas potentiated non-reward lateral OFC activation correlated with sadness.
“Moreover, at age 19, blunted reward-related central OFC activation correlated with more anhedonic symptoms, whereas potentiated non-reward lateral OFC activation correlated with sadness.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [114] Xie C, Jia T, Rolls ET, Robbins TW, Sahakian BJ, Zhang J, et al. Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;6:259–69. source
The age-19 association analyses report that lateral OFC activation correlated with symptoms including feeling overwhelmed by sadness, while medial OFC activation had a nominally significant negative association with anhedonia. The discussion likewise links reduced medial OFC reward sensitivity to anhedonia and increased lateral OFC nonreward sensitivity to negative feelings. The claim calls the reward-related region “central” rather than medial OFC and omits the nominal significance qualifier for the anhedonia association. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn rodents, the most abundant and consistent changes in chronic stress models are in the medial prefrontal cortex, including anterior cingulate, prelimbic, and infralimbic regions, with somewhat more variable, mixed direction effects in the orbitofrontal cortex.
“In rodents, the most abundant and consistent changes are in the mPFC (anterior cingulate, prelimbic and infralimbic) with somewhat more variable, mixed direction effects in the OFC (Fig. 3, top left-hand panel).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [98] McEwen BS, Morrison JH. The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron. 2013;79:16–29. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [99] McEwen BS, Nasca C, Gray JD. Stress effects on neuronal structure: hippocampus, amygdala, and prefrontal cortex. Neuropsychopharmacology. 2016;41:3–23. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationEvidence of disrupted frontostriatal activation during reward consumption has been reported also in children with major depressive disorder, suggesting that such dysfunctions emerge early.
“Evidence of disrupted frontostriatal activation during reward consumption has been reported also in children with MDD, suggesting that such dysfunctions emerge early.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [104] O’Callaghan G, Stringaris A. Reward processing in adolescent depression across neuroimaging modalities: a review. Z Kinder Jugendpsychiatr Psychother. 2019;47:535–41. source
May combine two claims.
PremisecitationLeft dorsolateral prefrontal cortex repetitive transcranial magnetic stimulation treatment increased gray matter volume in the perigenual anterior cingulate cortex, and such volumetric increases correlated with symptom reduction.
“These findings replicated prior results showing that left dlPFC rTMS treatment increased GMV in the pgACC (Fig. 4c) and such volumetric increases correlated with symptom reduction [91].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [91] Lan MJ, Chhetry BT, Liston C, Mann JJ, Dubin M. Transcranial magnetic stimulation of left dorsolateral prefrontal cortex induces brain morphological changes in regions associated with a treatment resistant major depressive episode: an exploratory analysis. Brain Stimul. 2016;9:577–83. source
The Results (Imaging Results; page unavailable) report increased anterior cingulate gray matter volume after TMS and a correlation between that change and reduced depression severity. Our copy identifies the region as the left anterior cingulate, not specifically the perigenual ACC; it also notes that the correlation was not corrected for multiple comparisons. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIncreasing the excitability of ILc by blockade of the glutamate transporter (GLT1) had an anhedonia-like effect, including an increase in the latency to drink sucrose and an increased threshold for intracranial self-stimulation.
“For example, increasing the excitability of ILc by blockade of the glutamate transporter (GLT1) had an anhedonia-like effect, including an increase in the latency to drink sucrose and an increased threshold for intracranial self-stimulation [140].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [140] John CS, Smith KL, Van’T Veer A, Gompf HS, Carlezon WA, Cohen BM, et al. Blockade of astrocytic glutamate uptake in the prefrontal cortex induces anhedonia. Neuropsychopharmacology. 2012;37:2467–75. source
The Discussion reports that intra-PFC GLT-1 blockade increased ICSS thresholds and latency to begin drinking sucrose, consistent with an anhedonic-like effect. Figure 1 places the injections in the infralimbic PFC. The paper suggests that increased infralimbic activity could produce such effects, but it does not establish that the blockade increased ILc excitability. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationA single-dose of ketamine reduced sgACC hyper-activity and improved an autonomic measure of anhedonia (anticipatory arousal to receipt of a primary reinforcer in marmosets).
“These findings fit recent evidence that a single-dose of ketamine reduced sgACC hyper-activity and improved an autonomic measure of anhedonia (anticipatory arousal to receipt of a primary reinforcer in marmosets (see below) [61]).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] Alexander L, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, Cockcroft GJ, et al. Fractionating blunted reward processing characteristic of anhedonia by over-activating primate subgenual anterior cingulate cortex. Neuron. 2019;101:307–320.e6. source
May combine two claims.
PremisecitationIn a large youth sample, blunted reward-related ventral striatum correlated with anhedonia (but not low mood) and predicted transition to subthreshold or clinical depression 2 years later among previously healthy youths.
“In a large youth sample (N = 1576; mean age: ~14 years), blunted reward-related ventral striatum correlated with anhedonia (but not low mood) and predicted transition to subthreshold or clinical depression 2 years later among previously healthy youths ([119]; see also [120]).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [119] Stringaris A, Belil PVR, Artiges E, Lemaitre H, Gollier-Briant F, Wolke S, et al. The brain s response to reward anticipation and depression in adolescence: Dimensionality, specificity, and longitudinal predictions in a community-based sample. Am J Psychiatry. 2015;172:1215–23. source
- cites [120] Morgan JK, Olino TM, McMakin DL, Ryan ND, Forbes EE. Neural response to reward as a predictor of increases in depressive symptoms in adolescence. Neurobiol Dis. 2013;52:66–74. source
The Discussion reports that lower striatal response during reward anticipation was associated with rising depressive symptoms over two years, particularly in adolescents in mid-to-late puberty. But Participants and Procedure describes a final sample of 72 youths aged 11–13, not 1,576 youths with a mean age near 14. The paper reports changes in depressive-symptom scores, not transitions to subthreshold or clinical depression, and does not establish the claimed anhedonia-versus-low-mood distinction. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationFully remitted individuals showed normative ventral striatum RPE but greater RPE in the VTA.
“Moreover, although fully remitted individuals showed normative ventral striatum RPE, they had greater RPE in the VTA [109], suggesting that some reward-related learning abnormalities do not normalize after recovery.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [109] Geugies H, Mocking RJT, Figueroa CA, Groot PFC, Marsman JBC, Servaas MN, et al. Impaired reward-related learning signals in remitted unmedicated patients with recurrent depression. Brain. 2019;142:2510–22. source
May combine two claims.
PremisecitationIn a card-guessing task, depressed adolescents had potentiated mPFC (BA10) activation coupled with blunted ventral striatal activation to rewards.
“In a study using a card-guessing task, depressed adolescents had potentiated mPFC (BA10) activation (coupled with blunted ventral striatal activation) to rewards [111].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [111] Forbes EE, Hariri AR, Martin SL, Silk JS, Moyles DL, Fisher PM, et al. Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder. Am J Psychiatry. 2009;166:64–73. source
The Method (Measures) describes a card-guessing reward task, and the Results (Depression-Related Differences in Neural Response to Reward) report greater medial BA10 activation during reward outcome alongside reduced caudate activation in depressed adolescents. The paper identifies the reduced-response region as the caudate, not specifically the ventral striatum; the Methods say the striatal region of interest encompassed both ventral striatum and adjacent caudate. Page numbers were not available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn a wheel-of-fortune task, adults with MDD showed greater left OFC activation but reduced pgACC activation during the selection phase relative to controls.
“In studies using a “wheel-offortune” task, which involves making choices about varying amounts of monetary rewards with varying levels of risk, adults with MDD showed greater left OFC activation but reduced pgACC activation during the selection phase relative to controls; in addition, they showed greater activation to wins in the left inferior frontal gyrus (BA9/45) than controls [132].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [132] Smoski MJ, Felder J, Bizzell J, Green SR, Ernst M, Lynch TR, et al. fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder. J Affect Disord. 2009;118:69–78. source
The Results (Imaging Data, Reward Selection; page not provided) report greater left orbitofrontal activation in adults with MDD and greater paracingulate-gyrus activation in controls during the Wheel of Fortune task. The copy does not identify the latter region as pgACC, so it does not establish that more specific anatomical claim. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationOptogenetic stimulation of ILc reduced the BOLD response to optogenetic-induced dopamine stimulation and blocked DA-stimulation-induced place preference.
“Moreover, optogenetic stimulation of ILc reduced the BOLD response to optogenetic-induced dopamine stimulation and blocked DA-stimulation-induced place preference [62].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [62] Ferenczi EA, Zalocusky KA, Liston C, Grosenick L, Warden MR, Amatya D, et al. Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior. Science. 2016;351:aac9698. source
The Results section, “Elevated mPFC excitability suppresses striatal responses to dopamine” (page unavailable), reports that optogenetic mPFC activation suppressed the striatal BOLD response to dopamine-neuron stimulation and eliminated the stimulation-associated place preference while activation was on. The cited passage identifies the stimulated region as mPFC, not specifically ILc, so the claim’s anatomical specificity is not established by our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationUnmedicated adults with MDD showed reduced approach-related activation in the dlPFC and reduced avoidance-related pgACC activation.
“Moreover, they showed reduced approach-related activation in the dlPFC and, surprisingly, reduced avoidance-related pgACC activation.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [42] Ironside M, Amemori KI, McGrath CL, Pedersen ML, Kang MS, Amemori S, et al. Approach-avoidance conflict in major depressive disorder: congruent neural findings in humans and nonhuman primates. Biol Psychiatry. 2020;87:399–408. source
May combine two claims.
PremisecitationIn a sample tested with the same paradigm, adolescents with MDD had higher left OFC and dACC activation but lower right lateral OFC during high-risk trials relative to controls.
“In a sample tested with the same paradigm, adolescents with MDD had higher left OFC and dACC activation but lower right lateral OFC during high-risk trials (trials with only 25% chance of winning a higher amount) relative to controls [133].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [133] Shad MU, Bidesi AP, Chen LA, Ernst M, Rao U. Neurobiology of decision making in depressed adolescents: a functional magnetic resonance imaging study. J Am Acad Child Adolesc Psychiatry. 2011;50:612–.e2. source
May combine two claims.
PremisecitationBoth reduced dmPFC-amygdala FC and potentiated vmPFC-amygdala FC to negative faces have been reported in adults with current MDD.
“Importantly, both patternsreduced dmPFCamygdala FC but potentiated vmPFC-amygdala FC to negative faceshave been reported in adults with current MDD [176,190,191].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [176] Matthews SC, Strigo IA, Simmons AN, Yang TT, Paulus MP. Decreased functional coupling of the amygdala and supragenual cingulate is related to increased depression in unmedicated individuals with current major depressive disorder. J Affect Disord. 2008;111:13–20. source
- cites [190] De Almeida JRC, Kronhaus DM, Sibille EL, Langenecker SA, Versace A, LaBarbara EJ, et al. Abnormal left-sided orbitomedial prefrontal cortical-amygdala connectivity during happy and fear face processing: a potential neural mechanism of female MDD. Front Psychiatry. 2011;2:69. https://doi.org/10.3389/fpsyt.2011.00069. eCollection 2011 source
In Results > Dynamic causal modeling (Table 4; page not provided), females with a current MDD episode showed greater left vmPFC–amygdala connectivity to fearful faces than healthy females (p = 0.03), but this comparison did not survive correction for multiple tests. The paper does not report reduced dmPFC–amygdala connectivity, and its vmPFC finding is limited to females rather than adults with MDD generally. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [191] Wackerhagen C, Veer IM, Erk S, Mohnke S, Lett TA, Wüstenberg T, et al. Amygdala functional connectivity in major depression-disentangling markers of pathology, risk and resilience. Psychol Med. 2020;50:2740–50. source
The Task-related amygdala functional connectivity and Conclusion sections (pages unavailable) report reduced amygdala connectivity with a frontal region during face matching in MDD patients, broadly supporting the reduced-connectivity part, though they do not identify the region as dmPFC. They do not report potentiated vmPFC–amygdala connectivity in patients; the Pathology section instead describes increased amygdala–pgACC connectivity in unaffected relatives compared with patients and controls. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDetailed parcellation studies in macaques have shown the importance of central regions of OFC in updating the valuations of expected outcomes on the basis of an animal's current state (area 13) and translating that information into goals for action selection (area 11).
“In summary, detailed parcellation studies in macaques have shown the importance of central regions of OFC in updating the valuations of expected outcomes on the basis of an animal's current state (area 13) and translating that information into goals for action selection (area 11).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [115] Murray EA, Rudebeck PH. Specializations for reward-guided decision-making in the primate ventral prefrontal cortex. Nat Rev Neurosci. 2018;19:404–17. source
- cites [150] Zhou J, Gardner MP, Schoenbaum G. Is the core function of orbitofrontal cortex to signal values or make predictions?. Curr Opin Behav Sci. 2021;41:1–9. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationArea 25 over-activation reduced basal heart rate variability and increased sympathetic activity.
“It also reduced basal heart rate variability and increased sympathetic activity [144], consistent with sympathetically-driven alterations in cardiovascular activity in MDD [148, 149].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [144] Alexander L, Wood CM, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, et al. Over-activation of primate subgenual cingulate cortex enhances the cardiovascular, behavioral and neural responses to threat. Nat Commun 2020;11:1–14. source
May combine two claims.
PremisecitationArea 25 overactivation reduced cardiovascular and behavioral Pavlovian conditioned arousal in anticipation of marshmallow reward and decreased the number of responses an animal was willing to perform for reward on a progressive ratio task.
“Specifically, area 25 overactivation reduced the cardiovascular and behavioral Pavlovian conditioned arousal in anticipation of marshmallow reward and also decreased the number of responses an animal was willing to perform for reward on a progressive ratio task [61].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] Alexander L, Gaskin PLR, Sawiak SJ, Fryer TD, Hong YT, Cockcroft GJ, et al. Fractionating blunted reward processing characteristic of anhedonia by over-activating primate subgenual anterior cingulate cortex. Neuron. 2019;101:307–320.e6. source
May combine two claims.
FindingcitationIn rats, a pathway projecting from PLc to the striatal striosomes is implicated in approach-avoidance decision making, with its inactivation increasing approach.
“Using an analogous task in rats, a similar pathway projecting from PLc to the striatal striosomes has been implicated in approach-avoidance decision making, with its inactivation increasing approach [203].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [203] Friedman A, Homma D, Gibb LG, Amemori K, Rubin SJ, Hood AS, et al. A corticostriatal path targeting striosomes controls decision-making under conflict. Cell. 2015;161:1320–33. source
May combine two claims.
InterpretationcitationAltered action-outcome learning and expression could play an important role in modulating actions in response to varying reward and punishment in an approach-avoidance task, and hence underlie the reported negative biases.
“If these same regions also process action-outcome information in the punishment domain as suggested by [39], at least for pgACC, then altered action-outcome learning and expression could likely play an important role in modulating one's actions in response to varying reward and punishment in an approach-avoidance task, and hence underlie the reported negative biases.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [39] Amemori K, Graybiel AM. Localized microstimulation of primate pregenual cingulate cortex induces negative decision-making. Nat Neurosci. 2012;15:776–85. source
- Rests on an assumption: Functional homology exists between PFC regions in rodents/monkeys and humans such that findings in animals can inform MDD.
May combine two claims.
FindingcitationOveractivation of area 25 in marmosets enhanced avoidance of punishment, blunted anticipatory and motivational appetitive arousal, and increased responsivity to uncertain threat and Pavlovian conditioned, certain threat.
“overactivation of area 25 in marmosets enhanced the avoidance of punishment [41], alongside the already described blunting of anticipatory and motivational appetitive arousal and increased responsivity to uncertain threat and Pavlovian conditioned, certain threat.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [41] Wallis CU, Cockcroft GJ, Cardinal RN, Roberts AC, Clarke HF. Hippocampal interaction with area 25, but not area 32, regulates marmoset approach-avoidance behavior. Cereb Cortex. 2019;29:4818–30. source
May combine two claims.
FindingcitationHigher levels of perceived helplessness and PINV magnitude correlate with rumination.
“Additionally, higher levels of perceived helplessness and PINV magnitude correlated with rumination.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [208] Diener C, Kuehner C, Brusniak W, Struve M, Flor H. Effects of stressor controllability on psychophysiological, cognitive and behavioural responses in patients with major depression and dysthymia. Psychol Med. 2009;39:77–86. source
The Results section (page not provided) reports that higher rumination scores correlated with larger frontal PINV magnitudes during restitution of control in the depressed subsample. It reports elevated perceived helplessness in depressed participants, but does not establish a correlation between helplessness and rumination; the claim’s helplessness component is therefore unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationIn healthy controls, personally chosen vs. passively received rewards elicit stronger activation in the striatum (ventral and dorsal) and PFC (inferior frontal gyrus), which is inversely related to depressive symptoms.
“studies in healthy controls have shown that personally chosen vs. passively received rewards elicit stronger activation in the striatum (ventral and dorsal) and PFC (inferior frontal gyrus) [212-215], which is inversely related to depressive symptoms [212].”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [212] Romaniuk L, Sandu AL, Waiter GD, McNeil CJ, Xueyi S, Harris MA, et al. The neurobiology of personal control during reward learning and its relationship to mood. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019;4:190–9. source
The Discussion sections “Personally Earned Versus Passively Received Rewards” and “Anticipating Choice” distinguish two findings: personally chosen outcomes enhanced inferior frontal gyrus activation, while ventral striatal activation occurred during anticipation of choice and was lower in participants with more depressive symptoms. The paper does not establish stronger ventral and dorsal striatal responses to personally chosen versus passively received rewards, or link that outcome contrast to depressive symptoms. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [213] Leotti LA, Delgado MR. The inherent reward of choice. Psychol Sci. 2011;22:1310–8. source
The Results (Neuroimaging Results; page unavailable) report greater ventral-striatal activity for Choice than No-choice cues, and main effects of cue type in dorsal striatum and right inferior frontal cortex. The study measured anticipation of an opportunity to choose, not activation elicited by receipt of personally chosen rewards. Our copy does not report an inverse relationship with depressive symptoms. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [214] Leotti LA, Delgado MR. The value of exercising control over monetary gains and losses. Psychol Sci. 2014;25:596–604. source
The Experiment 1 Neuroimaging Results report greater ventral-striatal activity for choice cues than no-choice cues when participants anticipated potential monetary gains. This supports a choice-related striatal effect, but the comparison concerns anticipation of a choice opportunity, not personally chosen versus passively received rewards. The cited results do not establish dorsal-striatal or inferior-frontal-gyrus activation, or an inverse relationship with depressive symptoms. Page numbers were not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [215] Wang KS, Delgado MR. Corticostriatal circuits encode the subjective value of perceived control. Cereb Cortex. 2019;29:5049–60. source
The ‘Neural Correlates Underlying the Opportunity for Control’ section (page unavailable) reports greater ventral-striatal activation for controllable SELF-choices than uncontrollable COMP-choices. It does not report this contrast for dorsal striatum or inferior frontal gyrus, nor does it link activation to depressive symptoms; the reported negative correlation is with locus-of-control scores, not depression. (LLM, conf=0.89)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationChronic stress exposure induces response and attentional inflexibility, spatial WM disruption, and insensitivity of goal-directed actions to action-outcome contingency and outcome value.
“response and attentional inflexibility [95], spatial WM disruption [96] and insensitivity of goal-directed actions to action-outcome contingency and outcome value [93] have been induced by chronic stress exposure.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [95] Liston C, Miller MM, Goldwater DS, Radley JJ, Rocher AB, Hof PR, et al. Stress-induced alterations in prefrontal cortical dendritic morphology predict selective impairments in perceptual attentional set-shifting. J Neurosci. 2006;26:7870–4. source
Citation [95] attaches to response and attentional inflexibility, not the separately cited working-memory and goal-directed-action claims. The Results section ('Effects of stress on attentional set shifting,' pp. 7870–7874) reports impaired attentional shifting after repeated restraint stress in rats, but no impairment in reversal learning; it does not establish response inflexibility. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [96] Mizoguchi K, Yuzurihara M, Ishige A, Sasaki H, Chui DH, Tabira T. Chronic stress induces impairment of spatial working memory because of prefrontal dopaminergic dysfunction. J Neurosci. 2000;20:1568–74. source
- cites [93] Dias-Ferreira E, Sousa JC, Melo I, Morgado P, Mesquita AR, Cerqueira JJ, et al. Chronic stress causes frontostriatal reorganization and affects decision-making. Science. 2009;325:621–5. source
May combine two claims.
FindingcitationAbnormal OFC activity is associated with altered FST/TST performance, including passive coping after histone acetylation inhibition in ventrolateral regions, OFC-amygdala pathway activation, and 5-HT2a agonist infusions into lateral OFC.
“Altered performance on FST and TST are also associated with abnormal activity within the OFC including promotion of passive coping behavior following inhibition of histone acetylation in ventrolateral regions [229], activation of the OFC-amygdala pathway [230] and weekly infusions of a 5-HT2a agonist into lateral OFC [141].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [229] Zhao Y, Xing B, Dang Y, Qu C, Zhu F, Yan C. Microinjection of valproic acid into the ventrolateral orbital cortex enhances stress-related memory formation. PLoS One. 2013;8:e52698. source
The Results (page unavailable) report increased FST immobility after valproic acid was infused into the ventrolateral orbital cortex before the first swim. But the paper identifies valproic acid as a histone deacetylase inhibitor, not an inhibitor of histone acetylation. The OFC–amygdala and 5-HT2a clauses carry other citations and are not attributed to this source. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [230] Kuniishi H, Yamada D, Wada K, Yamada M, Sekiguchi M. Stress induces insertion of calcium-permeable AMPA receptors in the OFC–BLA synapse and modulates emotional behaviours in mice. Transl Psychiatry. 2020;10:1–11. source
- cites [141] Xu C, Ma XM, Chen HBin, Zhou MH, Qiao H, AN SC. Orbitofrontal cortex 5-HT2A receptor mediates chronic stress-induced depressive-like behaviors and alterations of spine density and Kalirin7. Neuropharmacology . 2016;109:7–17. source
May combine two claims.
FindingcitationIn MDD subjects performing at the same level as controls, MDD is linked to potentiated pgACC, dACC, and left dlPFC; pgACC hyperactivation persists after remission.
“in studies in which MDD subjects performed at the same level as controls, MDD has been linked to potentiated pgACC, dACC and left dlPFC [16,237,238] and pgACC hyperactivation persisted after remission [239].”
Quote in the paperSubstantial claim3 of 4 sources checked- cites [16] Pizzagalli DA. Frontocingulate dysfunction in depression: toward biomarkers of treatment response. Neuropsychopharmacology. 2011;36:183–206. source
- cites [237] Gärtner M, Elisabetta Ghisu M, Scheidegger M, Bönke L, Fan Y, Stippl A, et al. Aberrant working memory processing in major depression: Evidence from multivoxel pattern classification. Neuropsychopharmacology. 2018;43:1972–9. source
The Discussion and ROI results report greater dACC and left DLPFC activation in MDD patients than controls despite similar working-memory performance. They do not establish pgACC hyperactivation. The remission statement has a separate citation [239] in the citing sentence, so it is not attributed to this source. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [238] Wang XL, Du MY, Chen TL, Chen ZQ, Huang XQ, Luo Y, et al. Neural correlates during working memory processing in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2015;56:101–8. source
- cites [239] Schöning S, Zwitserlood P, Engelien A, Behnken A, Kugel H, Schiffbauer H, et al. Working-memory fMRI reveals cingulate hyperactivation in euthymic major depression. Hum Brain Mapp. 2009;30:2746–56. source
The Discussion (page unavailable) reports cingulate hyperactivation during working-memory performance in euthymic MDD patients, despite similar behavioral performance to controls. It says the increase seemed to involve the dorsal and rostral ACC, but does not specifically establish pgACC hyperactivation or track the same patients through remission. Citation [239] is attached to the persistence claim, not the preceding claim about left dlPFC. (LLM, conf=0.78)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationdlPFC is especially important for top-down regulation of treatment and placebo expectancies, whereas mPFC plays a key role in encoding value of expected outcomes.
“In particular, dlPFC regions appear especially important for exerting top-downregulation of treatment and placebo expectancies, whereas mPFC regions play a key role in encoding value of expected outcomes [218,219].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [218] Wager TD, Atlas LY. The neuroscience of placebo effects: connecting context, learning and health. Nat Rev Neurosci. 2015;16:403–18. source
In “Placebos engage endogenous pain modulation circuitry” (page unavailable), the review links dlPFC activity and stimulation to placebo analgesia, but does not specifically assign dlPFC a role in top-down regulation of treatment and placebo expectancies. In “Different mechanisms for different outcomes?” (page unavailable), it links vmPFC responses to valuation and beliefs, but does not establish that mPFC encodes the value of expected outcomes as stated. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [219] Zunhammer M, Spisák T, Wager TD, Bingel U. Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data. Nat Commun. 2021;12:1391. source
The Discussion (page unavailable) links DLPFC to the top-down effects of treatment expectation on pain, supporting the first part of the claim. It does not describe mPFC as encoding the value of expected outcomes; the Discussion instead notes that vmPFC coverage was incomplete, so its placebo-related activity could not be assessed. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationPFC regions play an important role in perception of controllability and its impact on event valence, which moderates the depressogenic effects of stressors.
“Altogether, these findings point to an important role of PFC regions in perception of controllability and the impact this has on the valence of the event, which moderates the depressogenic effects of stressors [3].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [3] Pizzagalli DA. Depression, stress, and anhedonia: toward a synthesis and integrated model. Annu Rev Clin Psychol. 2014;10:393–423. source
The Introduction (page unavailable) reports that detecting control during stress activates the mPFC and that appraisal of coping ability moderates depressogenic effects. It does not establish the intervening claim that PFC activity changes the perceived valence of the event. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationIn medication-free MDD patients, greater deactivation of amPFC (pgACC/mPFC BA10) during a WM task predicts greater symptom reduction with escitalopram and greater WM improvements.
“Among medication-free patients with MDD, greater deactivation of an anteromedial PFC (amPFC) region encompassing the pgACC and mPFC (BA10) during a WM task predicted greater symptom reduction with escitalopram (and greater WM improvements) [247].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [247] Meyer BM, Rabl U, Huemer J, Bartova L, Kalcher K, Provenzano J, et al. Prefrontal networks dynamically related to recovery from major depressive disorder: a longitudinal pharmacological fMRI study. Transl Psychiatry. 2019;9:64. https://doi.org/10.1038/s41398-019-0395-8 source
The Results (‘Neural mediator of depression recovery and behavioral correlate’; page unavailable) link greater amPFC deactivation during the working-memory task to later depression recovery and working-memory improvement in patients recruited treatment-free. But the deactivation finding arose after clinical response, not as a pretreatment predictor; Table 2 also locates the amPFC mediator in BA32/24, not BA10. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationProlonged ILc pyramidal stimulation for 60 min promotes active coping on FST, mirroring ketamine.
“prolonged ILc pyramidal stimulation for 60 min, mirroring the actions of ketamine to promote active coping on FST [63].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [63] Fuchikami M, Thomas A, Liu R, Wohleb ES, Land BB, DiLeone RJ, et al. Optogenetic stimulation of infralimbic PFC reproduces ketamine’s rapid and sustained antidepressant actions. Proc Natl Acad Sci USA. 2015;112:8106–8111. source
May combine two claims.
FindingcitationIn rats, OFC contributes specifically to lower-order reversal learning of stimulus-reward associations, while mPFC contributes selectively to higher-order attentional set-shifting.
“Subsequent studies in rats revealed a similar dissociation, whereby the OFC contributed specifically to lower-order reversal learning of stimulus-reward associations whilst the mPFC (as opposed to the vlPFC in marmosets) contributed selectively to higher-order attentional set-shifting [255,256].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [255] Tait DS, Bowman EM, Neuwirth LS, Brown VJ. Assessment of intradimensional/extradimensional attentional set-shifting in rats. Neurosci Biobehav Rev. 2018;89:72–84. source
The accepted manuscript (p. 21) reports severe reversal-learning impairment after OFC lesions, and its references (p. 37) identify rat medial frontal cortex with attentional set-shifting. But p. 21 also reports slower attentional-set formation and impaired extradimensional-stage performance in OFC-lesioned rats, so the claimed selective dissociation overstates what this source says. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [256] Birrell JM, Brown VJ. Medial frontal cortex mediates perceptual attentional set shifting in the rat. J Neurosci. 2000;20:4320–4. source
The Discussion reports that medial frontal cortex lesions selectively impaired extradimensional attentional set-shifting in rats, without impairing reversal learning. That supports the mPFC portion of the sentence, but this paper does not establish the attributed OFC role in reversal learning. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationRemitted MDD individuals are characterized by reduced ability to deactivate amPFC and increased dlPFC-amPFC functional connectivity during a WM task.
“a reduced ability to deactivate the amPFC along with increased dlPFC-amPFC functional connectivity during the same WM task characterized remitted individuals with past history of MDD.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [248] Bartova L, Meyer BM, Diers K, Rabl U, Scharinger C, Popovic A, et al. Reduced default mode network suppression during a working memory task in remitted major depression. J Psychiatr Res. 2015;64:9–18. source
The Results (Regional activation differences) report reduced amPFC deactivation in remitted MDD patients compared with healthy controls. The Results (Brain systems differences) report significantly increased dlPFC–amPFC connectivity only for the adolescent-onset subgroup; adult-onset patients did not differ significantly from controls. The claim omits that qualification. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationStress-induced reversal learning deficits are prevented by LTD in mediodorsal thalamo-orbitofrontal pathway and locally infused ketamine.
“the latter was prevented by LTD in the mediodorsal thalamo-orbitofrontal pathway [258] and locally infused ketamine [259].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [258] Adler SM, Girotti M, Morilak DA. Optogenetically-induced long term depression in the rat orbitofrontal cortex ameliorates stress-induced reversal learning impairment. Neurobiol Stress. 2020;13:100258. source
- cites [259] Patton MS, Lodge DJ, Morilak DA, Girotti M. Ketamine corrects stress-induced cognitive dysfunction through JAK2/STAT3 signaling in the orbitofrontal cortex. Neuropsychopharmacology. 2017;42:1220–30. source
May combine two claims.
FindingcitationPerception of control increased the reward value of the chosen option by 30%, and caudal vmPFC activation was linked to this value inflation.
“Notably, perception of control increased the reward value of the chosen option by 30% and caudal vmPFC activation was linked to such value inflation [215].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [215] Wang KS, Delgado MR. Corticostriatal circuits encode the subjective value of perceived control. Cereb Cortex. 2019;29:5049–60. source
The Discussion reports that perceived control inflated the associated outcome’s value by 30%. The ‘Neural Correlates of Subjective Value of SELF-Choices’ section links vmPFC activation to the measured subjective value of control, but our copy does not identify that activation as specifically caudal vmPFC. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationPLc tends to promote active coping, while ILc promotes passive coping.
“where these regions have been discriminated, regardless of the model, PLc tends to promote active coping [226,227] whilst ILc appears to have the opposite effect, promoting passive coping [228].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [226] Hamani C, Diwan M, Macedo CE, Brandão ML, Shumake J, Gonzalez-Lima F, et al. Antidepressant-like effects of medial prefrontal cortex deep brain stimulation in rats. Biol Psychiatry. 2010;67:117–24. source
- cites [227] Kumar S, Black SJ, Hultman R, Szabo ST, Demaio KD, Du J, et al. Cortical control of affective networks. J Neurosci. 2013;33:1116–29. source
- cites [228] Slattery DA, Neumann I, Cryan JF. Transient inactivation of the infralimbic cortex induces antidepressant-like effects in the rat. J Psychopharmacol. 2011;25:1295–303. source
The Results (p. 4) report that infralimbic-cortex inactivation decreased immobility and increased climbing in rats re-exposed to the forced swim test, supporting the inference that ILc activity favors passive over active coping in that setting. The paper does not establish that this relationship holds regardless of the model. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationAttentional inflexibility dependent on vlPFC can lead to difficulty disengaging from threat-related stimuli and negative bias in monkeys, including disrupted approach-avoidance decision making.
“attentional inflexibility, dependent upon vlPFC [207] could lead to difficulty disengaging from threatrelated stimuli and a resulting negative bias in monkeys [9] including a disruption in approach-avoidance decision making.”
Quote in the paperSubstantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationThese patterns (amygdalar hyperactivity and reduced cortico-limbic functional connectivity) were linked to greater depression severity and a longer disease duration.
“these patterns were linked to greater depression severity and a longer disease [175, 176, 178]”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [175] Dannlowski U, Ohrmann P, Konrad C, Domschke K, Bauer J, Kugel H, et al. Reduced amygdalaprefrontal coupling in major depression: Association with MAOA genotype and illness severity. Int J Neuropsychopharmacol. 2009;12:11–22. source
The Association with illness severity section (page unavailable) reports that reduced amygdala–DLPFC connectivity correlated with an illness-severity index that included duration of illness. The cited passages do not establish that amygdalar hyperactivity was linked to severity or duration; the reported amygdala activation was a task effect across the whole sample. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [176] Matthews SC, Strigo IA, Simmons AN, Yang TT, Paulus MP. Decreased functional coupling of the amygdala and supragenual cingulate is related to increased depression in unmedicated individuals with current major depressive disorder. J Affect Disord. 2008;111:13–20. source
- cites [178] Dannlowski U, Ohrmann P, Bauer J, Kugel H, Arolt V, Heindel W, et al. Amygdala reactivity to masked negative faces is associated with automatic judgmental bias in major depression: a 3 T fMRI study. J Psychiatry Neurosci. 2007;32:423–9. source
May combine two claims.
FindingreasoningvlPFC and area 25 contribute to decision making based on immediate rewarding and punishing outcomes; negative biases are induced by loss of activity in vlPFC but over-activity in area 25.
“Specifically, vlPFC, like area 25, contributes to decision making when it is based upon experiencing rewarding and punishing outcomes at the time of one's actions, the only difference being that negative biases are induced by a loss of activity in vlPFC but over-activity in area 25.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenOver-activation of area 32 reduced the bias away from punishment, while area 32 inactivation had no effect.
“over-activation of area 32 reduced the bias away from punishment, whilst area 32 inactivation had no effect”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenIn macaques, a cluster of neurons in pgACC displayed decision-period activity negatively correlated with overall value; microstimulation of these neurons enhanced avoidance response, and this effect was ameliorated by diazepam.
“In macaques, a cluster of neurons was identified that displayed activity in the decision period, which was negatively correlated with the overall value; notably, when microstimulated, these neurons enhanced the avoidance response and this effect was ameliorated by the anxiolytic, diazepam.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationIn healthy controls, subjective (but not objective) uncontrollability over an aversive outcome reduces functional connectivity between dlPFC and parahippocampal gyrus and between frontoparietal executive and salience networks, and impairs working memory performance.
“among healthy controls, subjective (but not objective) uncontrollability over an aversive outcome reduced FC between dlPFC and the parahippocampal gyrus (and more generally, between the frontoparietal executive and salience networks) and impaired WM performance [216].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [216] Wanke N, Schwabe L. Subjective uncontrollability over aversive events reduces working memory performance and related large-scale network interactions. Cereb Cortex. 2020;30:3116–29. source
May combine two claims.
FindingcitationThe immunization effect of learned control over a stressor is dependent upon mPFC, particularly PLc; PLc inactivation during controllable stress disrupts subsequent behavioral immunization.
“This effect of controllability is dependent upon the mPFC [232], in particular the PLc, since PLc inactivation during exposure to controllable stress, disrupts subsequent behavioral immunization effects across a range of contexts, such that the animal acts as if the stress had been inescapable or uncontrollable.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [232] Amat J, Baratta MV, Paul E, Bland ST, Watkins LR, Maier SF. Medial prefrontal cortex determines how stressor controllability affects behavior and dorsal raphe nucleus. Nat Neurosci. 2005;8:365–71. source
May combine two claims.
FindingreasoningIn MDD, blunted pgACC activation is found in reward-related processes, while potentiated pgACC (or inability to deactivate) is found in negative processing biases and cognitive control.
“although blunted pgACC activation in MDD has emerged from studies probing reward-related processes (e.g., reward anticipation, consumption and learning), potentiated pgACC (or a general inability to deactivate the pgACC) in MDD has been observed in studies assessing negative processing biases and cognitive control.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningIn MDD, dlPFC is over-activated in reward-related processes (likely compensating for hypoactive striatal responses) but hypo-activated in affective/cognitive tasks requiring emotional/stress regulation, cognitive control, or shifting attention.
“although the dlPFC has been found to be over-activated in reward-related processes (likely to compensate for hypoactive striatal responses to reward cues), the same region has shown hypo-activation in affective and cognitive tasks requiring emotional or stress regulation, cognitive control, and/ or shifting attention to external task demands.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe quicker animals stop swimming or stop struggling in the forced swim test or tail suspension test is proposed to reflect behavioral despair.
“The quicker animals stop swimming or stop struggling, respectively, is proposed to reflect behavioral despair [51,52].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [51] Porsolt RD, Anton G, Blavet N, Jalfre M. Behavioural despair in rats: a new model sensitive to antidepressant treatments. Eur J Pharmacol. 1978;47:379–91. source
- cites [52] Castagné V, Moser P, Roux S, Porsolt RD. Rodent models of depression: forced swim and tail suspension behavioral despair tests in rats and mice. Curr Protoc Neurosci. 2011;55:8.10A.1–8.10A.14. source
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenNeuroimaging studies have provided insight into the neural correlates of major depressive disorder by identifying alterations in functional activity, resting state, and structural integrity.
“Neuroimaging studies have provided important insight into the neural correlates of MDD by identifying alterations in functional activity, resting state and structural integrity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenAlthough depressive phenotypes induced by uncontrollable stressors appear more clinically relevant, the state they produce may be as variable in etiology and treatment as human depression, limiting the level of insight gained.
“In contrast, although depressive phenotypes induced by e.g., uncontrollable stressors appear more clinically relevant, the state they produce may, nevertheless, be as variable in their etiology and treatment as human depression, limiting the level of insight gained.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationNegative processing biases are prevalent in major depressive disorder and are implicated in its etiology and treatment.
“Negative processing biases are prevalent in MDD [31] and implicated in its etiology and treatment [31][32][33].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31][32][33]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDespair is purported to be measured in rodents using the forced swim test and tail suspension test.
“Despair is purported measured in rodents using the forced swim (FST) and tail suspension (TST) tests [48][49][50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48][49][50]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenThe NMDA antagonist ketamine has rapid antidepressant effects and robust parallel findings across species.
“findings with the NMDA antagonist ketamine will be emphasized owing to its rapid antidepressant effects as well as robust parallel findings across species.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenThe complexity of depression-associated symptoms makes them difficult to assess with simple questionnaires in the clinic or single behavioral tests in animals.
“The complexity of depression-associated symptoms makes them difficult to assess with simple questionnaires in the clinic or single behavioral tests in animals.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningThe etiology and pathophysiology of major depressive disorder, and consequently its treatment and prevention, remain poorly understood.
“Despite its profound impact, the etiology and pathophysiology of MDDand consequently its treatment and preventionremain poorly understood.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenAspects of controllability have been studied in the context of depression in humans, although such studies are limited.
“Aspects of controllability, per se, have been studied in the context of depression in humans although, as shall be seen, such studies are limited.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe literature probing resting state functional connectivity in major depressive disorder generally points to abnormalities between discrete prefrontal cortex regions, within networks anchored on different prefrontal cortex regions, and between prefrontal cortex and other networks.
“The literature probing resting state functional connectivity (rsFC) in MDD is vast, and generally points to abnormalities (1) between discrete PFC regions, (2) within networks anchored on different PFC regions (e.g., central executive network, default mode network), and (3) between PFC and other networks (for reviews, see [68][69][70]).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68][69][70]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenBehavioral despair has been a major focus in preclinical animal studies but has received relatively little attention in humans, with little cross-species overlap in responses measured.
“It has been a major focus in preclinical animal studies but has received relatively little attention in humans and when it has, there has been little crossspecies overlap in responses measured.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBehavioral despair is often associated with symptoms of helplessness and hopelessness in major depressive disorder, in which a perceived lack of cognitive control is a core feature.
“Behavioral despair is often associated with symptoms of helplessness and hopelessness in MDD in which a perceived lack of cognitive control is a core feature [47].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Clark DA, Beck AT. Cognitive theory and therapy of anxiety and depression: convergence with neurobiological findings. Trends Cogn Sci. 2010;14:418–24. source
May combine two claims.
InterpretationreasoningStudying the effects of selective interventions within specific prefrontal subregions and circuits allows independent study of specific depression-related alterations in prefrontal activity to determine their causal role in symptoms and their differential sensitivity to treatments.
“This approach allows independent study of specific depression-related alterations in prefrontal activity to determine not only their causal role in symptoms of depression but also their potential differential sensitivity to treatments.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningImaging findings reveal changes associated with major depressive disorder and determine markers that may act as predictors of disease onset and predictors of efficacious treatment.
“Critically, imaging findings not only reveal changes associated with MDD but also determine markers that may act as predictors of disease onset as well as predictors of efficacious treatment.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn chronic stress models, animals display decreased swimming in the forced swim test or struggling in the tail suspension test, reductions in sucrose preference or consumption and social interactions, changes in the HPA axis and cardiovascular function, negative judgment biases in ambiguous cue tests, and impaired cognitive control.
“Specifically, animals display decreased swimming in the FST or struggling in the TST, reductions in sucrose preference or consumption and social interactions, changes in the HPA axis and cardiovascular function, negative judgment biases in ambiguous cue tests [43,44] and impaired cognitive control [93,94].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [43] Harding EJ, Paul ES, Mendl M. Cognitive bias and affective state. Nature. 2004;427:312. source
- cites [44] Papciak J, Popik P, Fuchs E, Rygula R. Chronic psychosocial stress makes rats more ‘pessimistic’ in the ambiguous-cue interpretation paradigm. Behav Brain Res. 2013;256:305–10. source
- cites [93] Dias-Ferreira E, Sousa JC, Melo I, Morgado P, Mesquita AR, Cerqueira JJ, et al. Chronic stress causes frontostriatal reorganization and affects decision-making. Science. 2009;325:621–5. source
- cites [94] Lapiz-Bluhm MDS, Soto-Piña AE, Hensler JG, Morilak DA. Chronic intermittent cold stress and serotonin depletion induce deficits of reversal learning in an attentional set-shifting test in rats. Psychopharmacology. 2009;202:329–41. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe contrasting patterns between medial prefrontal cortex and orbitofrontal cortex in dendritic spine density are intriguing given similar contrasting effects pertaining to hyper- or hypo-activity in major depressive disorder, although differences in measures and precise regions render comparison challenging.
“The contrasting patterns between mPFC and OFC in dendritic spine density are particularly intriguing given similar contrasting effects pertaining to hyper-or hypo-activity in MDD, although differences in measures and precise regions involved render comparison challenging.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationSome prefrontal cortex abnormalities predicted clinical response and were ameliorated by treatment.
“Third, some of these PFC abnormalities predicted clinical response and were ameliorated by treatment.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationSome prefrontal cortex abnormalities appear early in the course of major depressive disorder and might represent risk markers.
“Second, some of these abnormalities appear early in the course of the disorder and might, in fact, represent risk markers.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn an instrumental reinforcement learning task, unmedicated major depressive disorder subjects showed lower reward value encoding in the perigenual anterior cingulate cortex but higher subgenual anterior cingulate cortex activation during the decision phase than healthy controls.
“In an instrumental reinforcement learning task, unmedicated MDD subjects showed lower reward value encoding in the pgACC but higher sgACC activation during the decision phase than healthy controls [105].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [105] Rupprechter S, Stankevicius A, Huys QJM, Series P, Steele JD. Abnormal reward valuation and event-related connectivity in unmedicated major depressive disorder. Psychol Med. 2020;2020:7. source
May combine two claims.
PremisecitationChronic cold stress induces cognitive inflexibility specific to reversal learning, while chronic mild unpredictable stress or restraint stress disrupts higher-order attentional set-shifting more consistently than lower-order associative reversal learning.
“For example, chronic cold stress induces cognitive inflexibility specific to reversal learning, while chronic mild unpredictable stress or restraint stress disrupts higher-order attentional set-shifting more consistently than lower-order associative reversal learning [94,97].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [94] Lapiz-Bluhm MDS, Soto-Piña AE, Hensler JG, Morilak DA. Chronic intermittent cold stress and serotonin depletion induce deficits of reversal learning in an attentional set-shifting test in rats. Psychopharmacology. 2009;202:329–41. source
- cites [97] Bondi CO, Rodriguez G, Gould GG, Frazer A, Morilak DA. Chronic unpredictable stress induces a cognitive deficit and anxiety-like behavior in rats that is prevented by chronic antidepressant drug treatment. Neuropsychopharmacology. 2008;33:320–31. source
May combine two claims.
InterpretationreasoningDisruptions within brain reward pathways are not only present in the acute phase of MDD but predate its emergence.
“These findings are important because they highlight that disruptions within brain reward pathways are not only present in the acute phase of MDD but predates its emergence (for similar conclusions, see [137,138]).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningReduced valuation of expected rewards and blunted reward learning represent key vulnerabilities to future MDD.
“Together, these data suggest that reduced valuation of expected rewards and blunted reward learning represent key vulnerabilities to future MDD.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThese markers represent markers of MDD vulnerability and possible targets for prevention.
“Moreover, several markers (e.g., blunted frontostriatal rsFC and reward-related striatal activation) emerged also in unaffected, never-depressed offspring with parental depression and/or predicted the new onset of depressive disorder years later, suggesting that they represent markers of MDD vulnerability (and thus possible targets for prevention).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationFully remitted MZ twins with a past history of mood disorders had blunted expected value signal in the frontal pole extending into middle frontal gyrus (BA10/46) and lower RPE signal in the left frontal pole and superior frontal gyrus (BA9/6).
“Similarly, fully remitted MZ twins with a past history of mood disorders had blunted expected value signal in the frontal pole extending into middle frontal gyrus (BA10/46) as well as lower RPE signal in the left frontal pole and superior frontal gyrus (BA9/6) [130].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [130] Macoveanu J, Meluken I, Chase HW, Phillips ML, Kessing LV, Siebner HR, et al. Reduced frontostriatal response to expected value and reward prediction error in remitted monozygotic twins with mood disorders and their unaffected high-risk co-twins. Psychol Med. 2020;1–10. https://doi.org/10.1017/S0033291720000367. Online ahead of print. source
May combine two claims.
PremisecitationA case study showed that disruption of the non-reward system through inhibitory 1 Hz rTMS over the right OFC reduced both anhedonic symptoms and FC between the right lateral OFC and the ventral striatum.
“A case study indeed showed that disruption of such a system (through inhibitory 1 Hz rTMS over the right OFC) reduced both anhedonic symptoms and FC between the right lateral OFC and the ventral striatum [117].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [117] Fettes P, Peters S, Giacobbe P, Blumberger DM, Downar J. Neural correlates of successful orbitofrontal 1 Hz rTMS following unsuccessful dorsolateral and dorsomedial prefrontal rTMS in major depression: a case report. Brain Stimul. 2017;10:165–7. source
May combine two claims.
PremisecitationIn a reward-related decision making task, relative to healthy youths, youths with current MDD (9-17 years) showed potentiated responses in the left OFC during anticipation, but decreased responses in the right OFC and dACC during both phases.
“In a reward-related decision making task parsing decision making (anticipation) and outcome, relative to healthy youths, youths with current MDD (9-17 years) showed potentiated responses in the left OFC (during anticipation), but decreased responses in the right OFC and dACC during both phases [131].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [131] Forbes EE, Christopher May J, Siegle GJ, Ladouceur CD, Ryan ND, Carter CS, et al. Reward-related decision-making in pediatric major depressive disorder: an fMRI study. J Child Psychol Psychiatry. 2006;47:1031–40. source
May combine two claims.
InterpretationreasoningSeveral markers (e.g., blunted frontostriatal rsFC and reward-related striatal activation) emerged in unaffected, never-depressed offspring with parental depression and/or predicted the new onset of depressive disorder years later.
“Moreover, several markers (e.g., blunted frontostriatal rsFC and reward-related striatal activation) emerged also in unaffected, never-depressed offspring with parental depression and/or predicted the new onset of depressive disorder years later, suggesting that they represent markers of MDD vulnerability (and thus possible targets for prevention).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenMDD has been associated with hyper-activation in the medial frontal pole (BA10), vmPFC (including sgACC) and dlPFC to reward-related cues, as well as hyper-activation in the lateral OFC to non-rewards.
“In contrast, MDD has been associated with hyper-activation in the medial frontal pole (BA10), vmPFC (including sgACC) and dlPFC to reward-related cues, as well as hyper-activation in the lateral OFC to non-rewards.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenMany reward-processing markers correlated with anhedonia, predicted future anhedonia and depressive symptoms, and predated MDD.
“Of note, many of these markers correlated with anhedonia, predicted future anhedonia and depressive symptoms, and predated MDD.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenMDD appears primarily associated with reduced activity in central OFC but increased activity in lateral OFC and also in the caudal aspects of medial OFC, including area 14.
“The distinctions between lateral, central and medial OFC (summarized in Fig. 7) are particularly relevant to our understanding of depression since MDD appears primarily associated with reduced activity in central OFC but increased activity in lateral OFC and also in the caudal aspects of medial OFC, including area 14 (see above).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationStudies using backward masking tasks or tasks requiring implicit vs. explicit emotional processing converge in implicating hypo-activation in various PFC regions, most prominently the dlPFC and dACC, as well as hyper-activation in sgACC, pgACC, and vlPFC regions in negative processing biases.
“Studies using backward masking tasks or tasks requiring implicit vs. explicit emotional processing converge in implicating hypo-activation in various PFC regions, most prominently the dlPFC and dACC, as well as hyper-activation in sgACC, pgACC, and vlPFC regions in negative processing biases (for reviews, see [156][157][158]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [156][157][158]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationMDD and vulnerability to depression in youth samples are characterized by hyper-activity in limbic regions implicated in responding to emotional cues (pgACC, amygdala).
“Collectively, these findings highlight that MDD and vulnerability to depression in youth samples are characterized by (1) dlPFC hypo-activation to emotional (mostly, negative) stimuli, (2) hyper-activity in limbic regions implicated in responding to emotional cues (pgACC, amygdala), (3) increased coupling between PFC regions implicated in processing negative selfreferential information (vmPFC) and”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningReduced coupling between the central OFC and dACC might index impaired cognitive control of emotion processing, which could result in negative processing biases.
“Based on prior literature, reduced coupling between the central OFC and dACC might index impaired cognitive control of emotion processing, which could result in negative processing biases.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAsymptomatic offspring of MDD patients showed blunted dlPFC activation and normative amygdalar responses to fearful faces.
“Whereas amygdalar hyper-activation to negative faces was reported in a similar offspring sample (mean age: 14 years) [186], the PFC findings contrast with reports of blunted dlPFC activation (and normative amygdalar responses) to fearful faces [187] and a sad mood induction [188] among asymptomatic offspring of MDD patients (16-21 years old and 9-14 years old, respectively).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [187] Mannie ZN, Taylor MJ, Harmer CJ, Cowen PJ, Norbury R. Frontolimbic responses to emotional faces in young people at familial risk of depression. J Affect Disord. 2011;130:127–32. source
May combine two claims.
InterpretationreasoningArea 14 appears to play a fundamental role in regulating appetitive arousal, while area 25 seems to have its effects only when activated.
“Thus, whereas area 14 appears to play a fundamental role in regulating such appetitive arousal, area 25 seems to have its effects only when activated; artificially, in the case of the experimental study in marmosets and perhaps under conditions of stress under naturally-occurring conditions.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationMDD and vulnerability to depression in youth samples are characterized by dlPFC hypo-activation to emotional (mostly negative) stimuli.
“Collectively, these findings highlight that MDD and vulnerability to depression in youth samples are characterized by (1) dlPFC hypo-activation to emotional (mostly, negative) stimuli, (2) hyper-activity in limbic regions implicated in responding to emotional cues (pgACC, amygdala), (3) increased coupling between PFC regions implicated in processing negative selfreferential information (vmPFC) and”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenThe rodent mPFC and OFC have been implicated in the control of consummatory aspects of reward-related behavior, although their precise contribution remains unclear.
“In summary, the rodent mPFC and OFC have been implicated in the control of consummatory aspects of reward-related behavior, although their precise contribution to such behaviors remain unclear (Figs. 2 and 3).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationIndividuals with MDD are more susceptible to stressor uncontrollability, and this experience affects subsequent interaction with the environment even when control over the stressor is re-established.
“these data suggest that individuals with MDD are more susceptible to stressor uncontrollability, and such experience affects subsequent interaction with the environment even when control over the stressor is re-established.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningSome of these abnormalities precede the onset of MDD, as they are present in never-depressed youth with increased MDD vulnerability.
“of these abnormalities precede the onset of MDD, since they are present in never-depressed youth with increased MDD vulnerability.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationMDD and vulnerability to depression in youth samples are characterized by blunted coupling between PFC regions implicated in cognitive control of emotion (dmPFC) and the amygdala.
“Collectively, these findings highlight that MDD and vulnerability to depression in youth samples are characterized by (1) dlPFC hypo-activation to emotional (mostly, negative) stimuli, (2) hyper-activity in limbic regions implicated in responding to emotional cues (pgACC, amygdala), (3) increased coupling between PFC regions implicated in processing negative selfreferential information (vmPFC) and”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationAttentional inflexibility induced by excitotoxic lesions of vlPFC may lead to persistent attention to intrinsically salient negative outcomes, causing increased negative bias via loss of top-down attentional control.
“In contrast, the attentional inflexibility induced by excitotoxic lesions of vlPFC [207] may lead to persistent attention to intrinsically salient negative outcomes that, through bottom up mechanisms, naturally attract our attention, but through a loss of top down attentional control cause increased negative bias.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [207] Dias R, Robbins TW, Roberts AC. Dissociation in prefrontal cortex of affective and attentional shifts. Nature. 1996;380:69–72. source
May combine two claims.
InterpretationreasoningArea 32 is engaged and only contributes to approach-avoidance conflict under particular contexts.
“altogether suggesting that area 32 is engaged and only contributes to approach-avoidance conflict under particular contexts.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningInterventions in PLc, ILc, and OFC can all impact responsivity to acute uncontrollable stress as measured by FST and TST.
“in all studies described so far interventions in PLc, ILc and OFC can all impact on responsivity to acute, uncontrollable stress as measured by the FST and TST.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationAbility to deactivate key DMN nodes (pgACC, dmPFC) during an executive task is essential for symptom reduction; reduced ability may be a marker of increased MDD vulnerability and ruminative style.
“these findings indicate that the ability to deactivate key nodes within the DMN (pgACC, dmPFC) during an executive task is essential for symptom reduction and that reduced ability to do so might represent a marker of increased MDD vulnerability and a more ruminative style.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningArea 32 and area 24 appear directly involved in action-outcome associations, while medial OFC/vmPFC may be more related to valuation.
“Regions of area 32 and area 24 appear directly involved whilst medial OFC/vmPFC may be more related to the valuation process.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenIn MDD samples compared to healthy controls, some functional connections show higher and others lower connectivity.
“Orange and blue arrows denote higher and lower functional connectivity, respectively, in MDD samples than healthy controls.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningDifferent inputs to PFC regions and different neuromodulators are likely implicated in context-dependent direction of abnormalities.
“it is likely that different inputs to PFC regions (e.g., weakened input from rewardrelated regions vs. heightened input from threat-related regions) as well as different neuromodulators (e.g., dopamine vs. serotonin) are implicated.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAnhedonic phenotypes, negative processing biases, and learned helplessness are not independent; reductions in reward sensitivity and loss of subjective control likely induce negative processing biases.
“These phenotypes are not independent, with reductions in sensitivity to reward and loss of subjective control over negative events, for example, likely to induce negative processing biases.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPFC regions have distinct functions and are modulated by distinct neurochemical transmitter systems, receptor subtypes, and cellular/molecular pathways.
“These regions do not only have distinct functions but are also modulated by distinct neurochemical transmitter systems, acting through distinct receptor subtypes, associated with distinct cellular and molecular pathways (see Arnsten and Cools, this volume).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Arnsten and Cools
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationMDD involves insufficient cortical regulation, as indicated by reduced cortico-limbic functional connectivity when presented with negative cues.
“Further highlighting insufficient cortical regulation, MDD has been linked to reduced cortico-limbic functional connectivity (e.g., mPFC↔amygdala) when presented with negative cues [175-178].”
Quote in the paperSubstantial claim
The paper relies on this without support.
The majority of preclinical studies relevant to major depressive disorder are performed in rodents.
“but the majority of preclinical studies relevant to MDD are performed in rodents.”
The paper relies on this without support.
Cross-species translation from animal models to humans is possible and valuable for understanding major depressive disorder.
“This highlights the importance of NHP research, where back translation to rodents and forward translation into the clinic can bridge the gap.”
The paper relies on this without support.
Functional homology exists between PFC regions in rodents/monkeys and humans such that findings in animals can inform MDD.
“altered activity in the PFC of both macaques and marmosets was found to induce negative biases akin to those reported in depression”
“Integrating the MDD and preclinical animal studies, it is apparent that a number of regions within the mPFC may contribute either directly in the learning and maintenance of action-outcome associations that underlie the ability of humans and other animals to control their environment”
The paper relies on this without support.
Negative biases measured in animal tasks are equivalent to negative processing biases in MDD.
“negative biases akin to those reported in depression”
“Negative biases are also multi-determined contributed to by altered activity in primate areas 24, 32, OFC and vlPFC.”
The paper relies on this without support.
The intermediate phenotypes (anhedonia, negative bias, learned helplessness) are valid constructs that map onto MDD.
“these intermediate phenotypes of MDD”
The paper relies on this without support.
Chronic stress models in animals are valid models of MDD.
“results from chronic stress models and interventions in otherwise healthy animals provide causal evidence for the induction of these intermediate phenotypes of MDD”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Opposite directions reported for pgACC activity during reward anticipation
MajorThe text describes pgACC hyperactivation during reward anticipation in MDD, but Table 1 lists pgACC hypoactivation for the same process. The direction of this central reward-related finding is therefore unclear.
“In tasks probing reward anticipation, MDD has been linked to decreased activation in ventral and dorsal striatum as well as middle frontal gyrus (BA8), but hyperactivation in the dlPFC and mPFC including pgACC and caudal vmPFC [3,102,113].”
“| pgACC | ↓ | ↓ | ↓ |”
Description of unaffected co-twins conflicts with the cited study's title
MinorThe review says the reward-signal dysfunctions were absent in unaffected co-twins. The cited study's title explicitly describes reduced responses in those co-twins as well as in remitted twins.
“Interestingly, such dysfunctions did not emerge in their unaffected co-twins (high-risk group), suggesting that they might represent scars (as opposed to pre-existing vulnerabilities) of depression.”
“130. Macoveanu J, Meluken I, Chase HW, Phillips ML, Kessing LV, Siebner HR, et al. Reduced frontostriatal response to expected value and reward prediction error in remitted monozygotic twins with mood disorders and their unaffected high-risk co-twins.”
Sertraline finding is attributed to a ketamine study
MinorThe statement cites reference 194 for an eight-week sertraline result in MDD, whereas that reference is titled as a ketamine study in healthy subjects. The cited treatment and population do not match the stated finding.
“These findings were complemented by data showing that 8 weeks of sertraline treatment normalized amygdalar hyper-activation to sad faces in MDD [194], replicating prior findings [195,196].”
“194. Scheidegger M, Walter M, Lehmann M, Metzger C, Grimm S, Boeker H, et al. Ketamine decreases resting state functional network connectivity in healthy subjects: implications for antidepressant drug action.”
Cites
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Kunitski, M., Eicke, N., Huber, P., Köhler, J., Zeller, S., Voigtsberger, J., Schlott, N., Henrichs, K., Sann, H., Trinter, F., et al. (2019) · Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) · doi:10.15488/5174 · Cited by 8,378 · see citing works
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Kunitski, M., Eicke, N., Huber, P., Köhler, J., Zeller, S., Voigtsberger, J., Schlott, N., Henrichs, K., Sann, H., Trinter, F., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07882-8 · Cited by 8,162 · see citing works
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works
Depression: a new animal model sensitive to antidepressant treatments
PORSOLT, R. D., LE PICHON, M., & JALFRE, M. (1977) · Nature · doi:10.1038/266730a0 · Cited by 4,451 · see citing works
Depression, chronic diseases, and decrements in health: results from the World Health Surveys
Moussavi, S., Chatterji, S., Verdes, E., Tandon, A., Patel, V., & Ustun, B. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61415-9 · Cited by 4,070 · see citing works
The size and burden of mental disorders and other disorders of the brain in Europe 2010
Wittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jönsson, B., Olesen, J., Allgulander, C., Alonso, J., Faravelli, C., et al. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.07.018 · Cited by 3,754 · see citing works
Paxinos, G. (1985) · Cited by 3,715 · see citing works
The tail suspension test: A new method for screening antidepressants in mice
Steru, L., Chermat, R., Thierry, B., & Simon, P. (1985) · Psychopharmacology · doi:10.1007/bf00428203 · Cited by 3,534 · see citing works
Behavioural despair in rats: A new model sensitive to antidepressant treatments
Porsolt, R. D., Anton, G., Blavet, N., & Jalfre, M. (1978) · European Journal of Pharmacology · doi:10.1016/0014-2999(78)90118-8 · Cited by 3,138 · see citing works
Hammen, C. (2005) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.1.102803.143938 · Cited by 2,979 · see citing works
Ongur, D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.206 · Cited by 2,627 · see citing works
Cognition and Depression: Current Status and Future Directions
Gotlib, I. H., & Joormann, J. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.121208.131305 · Cited by 2,420 · see citing works
Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.0071 · Cited by 2,281 · see citing works
Self-citationDrevets, W. C., Price, J. L., & Furey, M. L. (2008) · Brain Structure and Function · doi:10.1007/s00429-008-0189-x · Cited by 2,209 · see citing works
Cognitive Reappraisal of Emotion: A Meta-Analysis of Human Neuroimaging Studies
Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., Weber, J., & Ochsner, K. N. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht154 · Cited by 1,896 · cited 1× · see citing works
“Clearly, disrupted WM, associated with lateral prefrontal regions may also contribute to impaired decision making (see Menon and D’Esposito, Shenhav and Collins, this volume) and certainly dysfunction in these higher-order cognitive regions have been implicated in cognitive re-appraisal of emotion [251, 252] although…”
BackgroundOchsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879 · see citing works
Balleine, B. W., & O'Doherty, J. P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.131 · Cited by 1,775 · see citing works
Cryan, J. F., Mombereau, C., & Vassout, A. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.03.009 · Cited by 1,674 · see citing works
Reconsidering anhedonia in depression: Lessons from translational neuroscience
Treadway, M. T., & Zald, D. H. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.06.006 · Cited by 1,579 · see citing works
Stress Effects on Neuronal Structure: Hippocampus, Amygdala, and Prefrontal Cortex
McEwen, B. S., Nasca, C., & Gray, J. D. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.171 · Cited by 1,574 · see citing works
Assessing antidepressant activity in rodents: recent developments and future needs
Cryan, J. F., Markou, A., & Lucki, I. (2002) · Trends in Pharmacological Sciences · doi:10.1016/s0165-6147(02)02017-5 · Cited by 1,551 · see citing works
Goal-directed instrumental action: contingency and incentive learning and their cortical substrates
Balleine, B. W., & Dickinson, A. (1998) · Neuropharmacology · doi:10.1016/s0028-3908(98)00033-1 · Cited by 1,541 · see citing works
The Evolution of the Cognitive Model of Depression and Its Neurobiological Correlates
Beck, A. T. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08050721 · Cited by 1,537 · see citing works
Dissociation in prefrontal cortex of affective and attentional shifts
Dias, R., Robbins, T. W., & Roberts, A. C. (1996) · Nature · doi:10.1038/380069a0 · Cited by 1,527 · see citing works
Self-citationThe default mode network and self-referential processes in depression
Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., Mintun, M. A., Wang, S., Coalson, R. S., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812686106 · Cited by 1,480 · see citing works
Fear Extinction as a Model for Translational Neuroscience: Ten Years of Progress
Milad, M. R., & Quirk, G. J. (2012) · Annual Review of Psychology · doi:10.1146/annurev.psych.121208.131631 · Cited by 1,466 · see citing works
Medial Frontal Cortex Mediates Perceptual Attentional Set Shifting in the Rat
Birrell, J. M., & Brown, V. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-11-04320.2000 · Cited by 1,421 · see citing works
for the ENIGMA-Major Depressive Disorder Working Group, Schmaal, L., Hibar, D. P., Sämann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., Cheung, J. W., van Erp, T. G. M., Bos, D., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.60 · Cited by 1,330 · see citing works
Kim, N., Kim, H. K., Lee, K., Hong, Y., Cho, J. H., Choi, J. W., Lee, J.-I., Suh, Y., Ku, B. M., Eum, H. H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16164-1 · Cited by 1,290 · see citing works
Kemp, A. H., Quintana, D. S., Gray, M. A., Felmingham, K. L., Brown, K., & Gatt, J. M. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.12.012 · Cited by 1,286 · see citing works
Sheline, Y. I., Barch, D. M., Donnelly, J. M., Ollinger, J. M., Snyder, A. Z., & Mintun, M. A. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01263-x · Cited by 1,191 · see citing works
Australian vegetated coastal ecosystems as global hotspots for climate change mitigation
Serrano, Ó., Lovelock, C. E., Atwood, T. B., Macreadie, P. I., Canto, R., Phinn, S., Arias‐Ortiz, A., Bai, L., Baldock, J., Bedulli, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12176-8 · Cited by 1,181 · see citing works
Depression, Stress, and Anhedonia: Toward a Synthesis and Integrated Model
Pizzagalli, D. A. (2014) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185606 · Cited by 1,155 · cited 2× · see citing works
“Altogether, these findings point to an important role of PFC regions in perception of controllability and the impact this has on the valence of the event, which moderates the depressogenic effects of stressors [3].”
BackgroundSelf-citationThe neurobiology of anhedonia and other reward-related deficits
Der-Avakian, A., & Markou, A. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2011.11.005 · Cited by 1,130 · see citing works
Discovering Endophenotypes for Major Depression
Hasler, G., Drevets, W. C., Manji, H. K., & Charney, D. S. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300506 · Cited by 1,123 · see citing works
The Brain on Stress: Vulnerability and Plasticity of the Prefrontal Cortex over the Life Course
McEwen, B. S., & Morrison, J. H. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.028 · Cited by 1,079 · see citing works
Do rats have a prefrontal cortex?
Uylings, H. B. M., Groenewegen, H. J., & Kolb, B. (2003) · Behavioural Brain Research · doi:10.1016/j.bbr.2003.09.028 · Cited by 1,013 · see citing works
Hiser, J., & Koenigs, M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.030 · Cited by 972 · see citing works
Liston, C., Miller, M. M., Goldwater, D. S., Radley, J. J., Rocher, A. B., Hof, P. R., Morrison, J. H., & McEwen, B. S. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1184-06.2006 · Cited by 968 · see citing works
Aging and health: effects of the sense of control
Rodin, J. (1986) · Science · doi:10.1126/science.3749877 · Cited by 959 · see citing works
The chronic mild stress (CMS) model of depression: History, evaluation and usage
Willner, P. (2017) · Neurobiology of Stress · doi:10.1016/j.ynstr.2016.08.002 · Cited by 959 · see citing works
Frontocingulate Dysfunction in Depression: Toward Biomarkers of Treatment Response
Pizzagalli, D. A. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.166 · Cited by 945 · see citing works
Self-citationAmat, J., Baratta, M. V., Paul, E., Bland, S. T., Watkins, L. R., & Maier, S. F. (2005) · Nature Neuroscience · doi:10.1038/nn1399 · Cited by 931 · see citing works
Learned helplessness at fifty: Insights from neuroscience.
Maier, S. F., & Seligman, M. E. P. (2016) · Psychological Review · doi:10.1037/rev0000033 · Cited by 919 · see citing works
A meta‐analytic study of changes in brain activation in depression
Fitzgerald, P. B., Laird, A. R., Maller, J., & Daskalakis, Z. J. (2008) · Human Brain Mapping · doi:10.1002/hbm.20426 · Cited by 903 · see citing works
Koolschijn, P. C. M. P., van Haren, N. E. M., Lensvelt‐Mulders, G. J. L. M., Hulshoff Pol, H. E., & Kahn, R. S. (2009) · Human Brain Mapping · doi:10.1002/hbm.20801 · Cited by 902 · see citing works
Chronic Stress Causes Frontostriatal Reorganization and Affects Decision-Making
Dias-Ferreira, E., Sousa, J. C., Melo, I., Morgado, P., Mesquita, A. R., Cerqueira, J. J., Costa, R. M., & Sousa, N. (2009) · Science · doi:10.1126/science.1171203 · Cited by 858 · see citing works
Siegle, G. J., Thompson, W., Carter, C. S., Steinhauer, S. R., & Thase, M. E. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.05.048 · Cited by 857 · see citing works
The neuroscience of placebo effects: connecting context, learning and health
Wager, T. D., & Atlas, L. Y. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3976 · Cited by 844 · see citing works
Cognitive bias and affective state
Harding, E. J., Paul, E. S., & Mendl, M. (2004) · Nature · doi:10.1038/427312a · Cited by 835 · see citing works
Fu, C. H. Y., Williams, S. C. R., Cleare, A. J., Brammer, M. J., Walsh, N. D., Kim, J., Andrew, C. M., Pich, E. M., Williams, P. M., Reed, L. J., et al. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.9.877 · Cited by 775 · see citing works
Treadway, M. T., Buckholtz, J. W., Schwartzman, A. N., Lambert, W. E., & Zald, D. H. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006598 · Cited by 769 · see citing works
Toward an objective characterization of an anhedonic phenotype: A signal-detection approach
Pizzagalli, D. A., Jahn, A. L., & O’Shea, J. P. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.026 · Cited by 738 · see citing works
Self-citationCastagné, V., Moser, P., Roux, S., & Porsolt, R. D. (2011) · Current Protocols in Neuroscience · doi:10.1002/0471142301.ns0810as55 · Cited by 702 · see citing works
Do Rats Have Prefrontal Cortex? The Rose-Woolsey-Akert Program Reconsidered
Preuss, T. M. (1995) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1995.7.1.1 · Cited by 666 · see citing works
A prefrontal cortex–brainstem neuronal projection that controls response to behavioural challenge
Warden, M. R., Selimbeyoglu, A., Mirzabekov, J. J., Lo, M., Thompson, K. R., Kim, S.-Y., Adhikari, A., Tye, K. M., Frank, L. M., & Deisseroth, K. (2012) · Nature · doi:10.1038/nature11617 · Cited by 645 · see citing works
Sustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formation
Moda-Sava, R. N., Murdock, M. H., Parekh, P. K., Fetcho, R. N., Huang, B. S., Huynh, T. N., Witztum, J., Shaver, D. C., Rosenthal, D. L., Alway, E. J., et al. (2019) · Science · doi:10.1126/science.aat8078 · Cited by 643 · see citing works
Cognitive theory and therapy of anxiety and depression: Convergence with neurobiological findings
Clark, D. A., & Beck, A. T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.06.007 · Cited by 619 · see citing works
(1962) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1962.tb27008.x · Cited by 594 · see citing works
Forbes, E. E., Hariri, A. R., Martin, S. L., Silk, J. S., Moyles, D. L., Fisher, P. M., Brown, S. M., Ryan, N. D., Birmaher, B., Axelson, D. A., et al. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07081336 · Cited by 582 · see citing works
Papp, M., Willner, P., & Muscat, R. (1991) · Psychopharmacology · doi:10.1007/bf02244188 · Cited by 542 · see citing works
Cognitive Mechanisms of Treatment in Depression
Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.183 · Cited by 535 · see citing works
Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior
Ferenczi, E. A., Zalocusky, K. A., Liston, C., Grosenick, L., Warden, M. R., Amatya, D., Katovich, K., Mehta, H., Patenaude, B., Ramakrishnan, C., et al. (2016) · Science · doi:10.1126/science.aac9698 · Cited by 535 · see citing works
The Rodent Forced Swim Test Measures Stress-Coping Strategy, Not Depression-like Behavior
Commons, K. G., Cholanians, A. B., Babb, J. A., & Ehlinger, D. G. (2017) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00042 · Cited by 525 · see citing works
Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies
Keren, H., O’Callaghan, G., Vidal-Ribas, P., Buzzell, G. A., Brotman, M. A., Leibenluft, E., Pan, P. M., Meffert, L., Kaiser, A., Wolke, S., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17101124 · Cited by 521 · see citing works
Fales, C. L., Barch, D. M., Rundle, M. M., Mintun, M. A., Snyder, A. Z., Cohen, J. D., Mathews, J., & Sheline, Y. I. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.012 · Cited by 517 · see citing works
Can neuroscience be integrated into the DSM-V?
Hyman, S. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2218 · Cited by 516 · see citing works
Expected value and prediction error abnormalities in depression and schizophrenia
Gradin, V. B., Kumar, P., Waiter, G., Ahearn, T., Stickle, C., Milders, M., Reid, I., Hall, J., & Steele, J. D. (2011) · Brain · doi:10.1093/brain/awr059 · Cited by 485 · see citing works
Learned helplessness in the rat.
Seligman, M. E., & Beagley, G. (1975) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0076430 · Cited by 481 · see citing works
Mizoguchi, K., Yuzurihara, M., Ishige, A., Sasaki, H., Chui, D.-H., & Tabira, T. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-04-01568.2000 · Cited by 481 · see citing works
Animal model of depression: Pharmacological sensitivity of a hedonic deficit
Katz, R. J. (1982) · Pharmacology Biochemistry and Behavior · doi:10.1016/0091-3057(82)90053-3 · Cited by 480 · see citing works
Forward frontal fields: phylogeny and fundamental function
Wise, S. P. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2008.08.008 · Cited by 478 · see citing works
The orbitofrontal cortex: reward, emotion and depression
Rolls, E. T., Cheng, W., & Feng, J. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa196 · Cited by 474 · see citing works
Castagné, V., Moser, P. C., Roux, S., & Porsolt, R. D. (2010) · Current Protocols in Pharmacology · doi:10.1002/0471141755.ph0508s49 · Cited by 468 · see citing works
Gray, J. P., Müller, V. I., Eickhoff, S. B., & Fox, P. T. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19050560 · Cited by 449 · see citing works
Facial emotion processing in major depression: a systematic review of neuroimaging findings
Stuhrmann, A., Suslow, T., & Dannlowski, U. (2011) · Biology of Mood & Anxiety Disorders · doi:10.1186/2045-5380-1-10 · Cited by 440 · see citing works
Groenewold, N. A., Opmeer, E. M., de Jonge, P., Aleman, A., & Costafreda, S. G. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.015 · Cited by 417 · see citing works
Victor, T. A., Furey, M. L., Fromm, S. J., Öhman, A., & Drevets, W. C. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.144 · Cited by 400 · see citing works
Bondi, C. O., Rodriguez, G., Gould, G. G., Frazer, A., & Morilak, D. A. (2008) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301410 · Cited by 398 · see citing works
Orbitofrontal Cortex Mediates Outcome Encoding in Pavlovian But Not Instrumental Conditioning
Ostlund, S. B., & Balleine, B. W. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5443-06.2007 · Cited by 379 · cited 1× · see citing works
“Different again may be the contribution of regions within central OFC, with their links to the updating of predictive stimuli which may be involved in the mechanisms by which predictive stimuli can influence goal-directed actions, known as Pavlovian-to-Instrumental transfer [206, 235].”
BackgroundSullivan, R. M., & Gratton, A. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-07-02834.1999 · Cited by 377 · see citing works
Abnormal temporal difference reward-learning signals in major depression
Kumar, P., Waiter, G., Ahearn, T., Milders, M., Reid, I., & Steele, J. D. (2008) · Brain · doi:10.1093/brain/awn136 · Cited by 374 · see citing works
Deep learning in mental health outcome research: a scoping review
Su, C., Xu, Z., Pathak, J., & Wang, F. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0780-3 · Cited by 368 · cited 1× · see citing works
“Finally, we believe embracing a computational psychiatry approach – including the use of deep learning and artificial neural network to diagnose MDD [266, 267] and predict treatment response [268] – offers unprecedented opportunities, particularly when coupled with improved experimental design to isolate precise psych…”
BackgroundZhang, W.-N., Chang, S.-H., Guo, L.-Y., Zhang, K.-L., & Wang, J. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.06.039 · Cited by 355 · see citing works
Hot and cold cognition in depression
Roiser, J. P., & Sahakian, B. J. (2013) · CNS Spectrums · doi:10.1017/s1092852913000072 · Cited by 354 · see citing works
Petrides, M., Tomaiuolo, F., Yeterian, E. H., & Pandya, D. Ν. (2011) · Cortex · doi:10.1016/j.cortex.2011.07.002 · Cited by 353 · see citing works
Coping with the Forced Swim Stressor: Towards Understanding an Adaptive Mechanism
de Kloet, E. R., & Molendijk, M. L. (2016) · Neural Plasticity · doi:10.1155/2016/6503162 · Cited by 353 · see citing works
Grimm, S., Boesiger, P., Beck, J., Schuepbach, D., Bermpohl, F., Walter, M., Ernst, J., Hell, D., Boeker, H., & Northoff, G. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2008.81 · Cited by 350 · see citing works
Cytoarchitecture of mouse and rat cingulate cortex with human homologies
Vogt, B. A., & Paxinos, G. (2014) · Brain Structure and Function · doi:10.1007/s00429-012-0493-3 · Cited by 348 · see citing works
Gong, J., Wang, J., Qiu, S., Chen, P., Luo, Z., Wang, J., Huang, L., & Wang, Y. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01036-5 · Cited by 348 · see citing works
GABA interneurons are the cellular trigger for ketamine's rapid antidepressant actions
Gerhard, D. M., Pothula, S., Liu, R.-J., Wu, M., Li, X.-Y., Girgenti, M. J., Taylor, S. R., Duman, C. H., Delpire, E., Picciotto, M., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci130808 · Cited by 345 · see citing works
Dysfunctional reward processing in depression
Admon, R., & Pizzagalli, D. A. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2014.12.011 · Cited by 343 · see citing works
Self-citationPrefrontal cortex modulates placebo analgesia
Krummenacher, P., Candia, V., Folkers, G., Schedlowski, M., & Schönbächler, G. (2010) · Pain · doi:10.1016/j.pain.2009.09.033 · Cited by 337 · see citing works
Monk, C. S., Klein, R. G., Telzer, E. H., Schroth, E. A., Mannuzza, S., Moulton, J. L., Guardino, M., Masten, C. L., McClure-Tone, E. B., Fromm, S., et al. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.06111917 · Cited by 335 · see citing works
The mesoaccumbens dopamine in coping with stress
Cabib, S., & Puglisi-Allegra, S. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.04.012 · Cited by 329 · see citing works
fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder
Smoski, M. J., Felder, J., Bizzell, J., Green, S. R., Ernst, M., Lynch, T. R., & Dichter, G. S. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.01.034 · Cited by 328 · see citing works
The orbitofrontal cortex and emotion in health and disease, including depression
Rolls, E. T. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.09.021 · Cited by 326 · see citing works
Bari, A., Theobald, D. E., Caprioli, D., Mar, A. C., Aidoo-Micah, A., Dalley, J. W., & Robbins, T. W. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.233 · Cited by 325 · see citing works
Antidepressant-Like Effects of Medial Prefrontal Cortex Deep Brain Stimulation in Rats
Hamani, C., Diwan, M., Macedo, C. E., Brandão, M. L., Shumake, J., Gonzalez-Lima, F., Raymond, R., Lozano, A. M., Fletcher, P. J., & Nobrega, J. N. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.08.025 · Cited by 324 · see citing works
SARM1 is a metabolic sensor activated by an increased NMN/NAD+ ratio to trigger axon degeneration
Figley, M. D., Gu, W., Nanson, J. D., Shi, Y., Sasaki, Y., Cunnea, K., Malde, A. K., Jia, X., Luo, Z., Saikot, F. K., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.02.009 · Cited by 324 · see citing works
Stringaris, A., Vidal-Ribas Belil, P., Artiges, E., Lemaitre, H., Gollier-Briant, F., Wolke, S., Vulser, H., Miranda, R., Penttilä, J., Struve, M., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14101298 · Cited by 322 · see citing works
Leotti, L. A., & Delgado, M. R. (2011) · Psychological Science · doi:10.1177/0956797611417005 · Cited by 318 · see citing works
Blunted neural response to rewards prospectively predicts depression in adolescent girls
Bress, J. N., Foti, D., Kotov, R., Klein, D. N., & Hajcak, G. (2013) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01485.x · Cited by 317 · see citing works
A Corticostriatal Path Targeting Striosomes Controls Decision-Making under Conflict
Friedman, A., Homma, D., Gibb, L. G., Amemori, K.-I., Rubin, S. J., Hood, A. S., Riad, M. H., & Graybiel, A. M. (2015) · Cell · doi:10.1016/j.cell.2015.04.049 · Cited by 309 · see citing works
Reward‐related decision‐making in pediatric major depressive disorder: an fMRI study
Forbes, E. E., Christopher May, J., Siegle, G. J., Ladouceur, C. D., Ryan, N. D., Carter, C. S., Birmaher, B., Axelson, D. A., & Dahl, R. E. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01673.x · Cited by 299 · see citing works
MURPHY, F. C., MICHAEL, A., ROBBINS, T. W., & SAHAKIAN, B. J. (2003) · Psychological Medicine · doi:10.1017/s0033291702007018 · Cited by 298 · see citing works
Cheng, W., Rolls, E. T., Qiu, J., Liu, W., Tang, Y., Huang, C.-C., Wang, X., Zhang, J., Lin, W., Zheng, L., et al. (2016) · Brain · doi:10.1093/brain/aww255 · Cited by 294 · see citing works
The Marmoset Brain in Stereotaxic Coordinates
Paxinos, G., Majka, P., Merlin, S., & Rosa, M. G. P. (2025) · Elsevier eBooks · doi:10.1016/c2023-0-50877-8 · Cited by 285 · see citing works
Yang, C.-C., Barrós-Loscertales, A., Pinazo, D., Ventura-Campos, N., Borchardt, V., Bustamante, J.-C., Rodríguez-Pujadas, A., Fuentes-Claramonte, P., Balaguer, R., Ávila, C., et al. (2016) · Neural Plasticity · doi:10.1155/2016/9504642 · Cited by 284 · see citing works
Scheidegger, M., Walter, M., Lehmann, M., Metzger, C., Grimm, S., Boeker, H., Boesiger, P., Henning, A., & Seifritz, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044799 · Cited by 282 · see citing works
Wagner, G., Sinsel, E., Sobanski, T., Köhler, S., Marinou, V., Mentzel, H.-J., Sauer, H., & Schlösser, R. G. M. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.10.025 · Cited by 278 · see citing works
Spatiotemporal Dynamics of Error Processing Dysfunctions in Major Depressive Disorder
Holmes, A. J., & Pizzagalli, D. A. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.19 · Cited by 277 · see citing works
Self-citationNeuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis
Ma, Y. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.24 · Cited by 270 · see citing works
The future of rodent models in depression research
Gururajan, A., Reif, A., Cryan, J. F., & Slattery, D. A. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0221-6 · Cited by 269 · see citing works
Fales, C. L., Barch, D. M., Rundle, M. M., Mintun, M. A., Mathews, J., Snyder, A. Z., & Sheline, Y. I. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.04.027 · Cited by 266 · see citing works
Fuchikami, M., Thomas, A., Liu, R., Wohleb, E. S., Land, B. B., DiLeone, R. J., Aghajanian, G. K., & Duman, R. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414728112 · Cited by 265 · see citing works
Localized microstimulation of primate pregenual cingulate cortex induces negative decision-making
Amemori, K.-I., & Graybiel, A. M. (2012) · Nature Neuroscience · doi:10.1038/nn.3088 · Cited by 262 · see citing works
Hyman, S. E. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003142 · Cited by 260 · see citing works
Nelson, B. D., Perlman, G., Klein, D. N., Kotov, R., & Hajcak, G. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.15121524 · Cited by 250 · see citing works
Lemogne, C., le Bastard, G., Mayberg, H., Volle, E., Bergouignan, L., Lehéricy, S., Allilaire, J.-F., & Fossati, P. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp008 · Cited by 238 · see citing works
Neural basis of abnormal response to negative feedback in unmedicated mood disorders
Taylor Tavares, J. V., Clark, L., Furey, M. L., Williams, G. B., Sahakian, B. J., & Drevets, W. C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.049 · Cited by 229 · see citing works
Neural correlates of change in major depressive disorder anhedonia following open-label ketamine
Lally, N., Nugent, A. C., Luckenbaugh, D. A., Niciu, M. J., Roiser, J. P., & Zarate, C. A. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881114568041 · Cited by 224 · see citing works
Striatum-Based Circuitry of Adolescent Depression and Anhedonia
Gabbay, V., Ely, B. A., Li, Q., Bangaru, S. D., Panzer, A. M., Alonso, C. M., Castellanos, F. X., & Milham, M. P. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.04.003 · Cited by 222 · see citing works
(2005) · PubMed · Cited by 221 · see citing works
Impaired reward prediction error encoding and striatal-midbrain connectivity in depression
Kumar, P., Goer, F., Murray, L., Dillon, D. G., Beltzer, M. L., Cohen, A. L., Brooks, N. H., & Pizzagalli, D. A. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0032-x · Cited by 219 · see citing works
Self-citationHare, B. D., Shinohara, R., Liu, R. J., Pothula, S., DiLeone, R. J., & Duman, R. S. (2019) · Nature Communications · doi:10.1038/s41467-018-08168-9 · Cited by 217 · see citing works
Dannlowski, U., Ohrmann, P., Konrad, C., Domschke, K., Bauer, J., Kugel, H., Hohoff, C., Schöning, S., Kersting, A., Baune, B. T., et al. (2009) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145708008973 · Cited by 216 · see citing works
Wang, L., LaBar, K. S., Smoski, M., Rosenthal, M. Z., Dolcos, F., Lynch, T. R., Krishnan, R. R., & McCarthy, G. (2008) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2007.10.004 · Cited by 210 · see citing works
Association of neural and emotional impacts of reward prediction errors with major depression
Rutledge, R. B., Moutoussis, M., Smittenaar, P., Zeidman, P., Taylor, T., Hrynkiewicz, L., Lam, J., Skandali, N., Siegel, J. Z., Ousdal, O. T., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.1713 · Cited by 209 · see citing works
Borsini, A., Wallis, A. S. J., Zunszain, P., Pariante, C. M., & Kempton, M. J. (2020) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-020-00804-6 · Cited by 207 · see citing works
Comorbid Anxiety and Depressive Symptoms in Children and Adolescents
Melton, T., Croarkin, P. E., Strawn, J. R., & McClintock, S. M. (2016) · Journal of Psychiatric Practice · doi:10.1097/pra.0000000000000132 · Cited by 204 · see citing works
Yoshimura, S., Okamoto, Y., Onoda, K., Matsunaga, M., Ueda, K., Suzuki, S.-I., & ShigetoYamawaki (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.06.017 · Cited by 199 · see citing works
Salomons, T. V., Johnstone, T., Backonja, M.-M., Shackman, A. J., & Davidson, R. J. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.6.993 · Cited by 195 · see citing works
Gray matter volume in major depressive disorder: A meta-analysis of voxel-based morphometry studies
Lai, C.-H. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.06.006 · Cited by 191 · see citing works
Neural basis of the emotional Stroop interference effect in major depression
Mitterschiffthaler, M. T., Williams, S. C. R., Walsh, N. D., Cleare, A. J., Donaldson, C., Scott, J., & Fu, C. H. Y. (2008) · Psychological Medicine · doi:10.1017/s0033291707001523 · Cited by 190 · see citing works
Matthews, S. C., Strigo, I. A., Simmons, A. N., Yang, T. T., & Paulus, M. P. (2008) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.05.022 · Cited by 190 · see citing works
Aizenstein, H. J., Butters, M. A., Wu, M., Mazurkewicz, L. M., Stenger, V. A., Gianaros, P. J., Becker, J. T., Reynolds, C. F., & Carter, C. S. (2009) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31817b60af · Cited by 187 · see citing works
Neural response to reward as a predictor of increases in depressive symptoms in adolescence
Morgan, J. K., Olino, T. M., McMakin, D. L., Ryan, N. D., & Forbes, E. E. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.03.039 · Cited by 185 · see citing works
Berlin, I., Givry-Steiner, L., Lecrubier, Y., & Puech, A. (1998) · European Psychiatry · doi:10.1016/s0924-9338(98)80048-5 · Cited by 178 · see citing works
Unipolar depression does not moderate responses to the Sweet Taste Test
Dichter, G. S., Smoski, M. J., Kampov-Polevoy, A. B., Gallop, R., & Garbutt, J. C. (2010) · Depression and Anxiety · doi:10.1002/da.20690 · Cited by 175 · see citing works
Functional Connectivity Bias of the Orbitofrontal Cortex in Drug-Free Patients with Major Depression
Frodl, T., Bokde, A. L. W., Scheuerecker, J., Lisiecka, D., Schoepf, V., Hampel, H., Möller, H.-J., Brückmann, H., Wiesmann, M., & Meisenzahl, E. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.08.022 · Cited by 174 · see citing works
Vasic, N., Walter, H., Sambataro, F., & Wolf, R. C. (2009) · Psychological Medicine · doi:10.1017/s0033291708004443 · Cited by 173 · see citing works
Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data
Zunhammer, M., Spisák, T., Wager, T. D., Bingel, U., The Placebo Imaging Consortium, Atlas, L., Benedetti, F., Büchel, C., Choi, J. C., Colloca, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21179-3 · Cited by 171 · see citing works
Dichter, G. S., Kozink, R. V., McClernon, F. J., & Smoski, M. J. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.09.048 · Cited by 170 · see citing works
Zhong, M., Wang, X., Xiao, J., Yi, J., Zhu, X., Liao, J., Wang, W., & Yao, S. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.08.007 · Cited by 170 · see citing works
Specializations for reward-guided decision-making in the primate ventral prefrontal cortex
Murray, E. A., & Rudebeck, P. H. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0013-4 · Cited by 169 · see citing works
Altered neural reward and loss processing and prediction error signalling in depression
Ubl, B., Kuehner, C., Kirsch, P., Ruttorf, M., Diener, C., & Flor, H. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu158 · Cited by 165 · see citing works
Roberson-Nay, R., McClure, E. B., Monk, C. S., Nelson, E. E., Guyer, A. E., Fromm, S. J., Charney, D. S., Leibenluft, E., Blair, J., Ernst, M., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.02.018 · Cited by 164 · see citing works
Lapiz-Bluhm, M. D. S., Soto-Piña, A. E., Hensler, J. G., & Morilak, D. A. (2009) · Psychopharmacology · doi:10.1007/s00213-008-1224-6 · Cited by 163 · see citing works
Chronic Stress Alters Striosome-Circuit Dynamics, Leading to Aberrant Decision-Making
Friedman, A., Homma, D., Bloem, B., Gibb, L. G., Amemori, K.-I., Hu, D., Delcasso, S., Truong, T. F., Yang, J., Hood, A. S., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.017 · Cited by 162 · see citing works
Pan, P. M., Sato, J. R., Salum, G. A., Rohde, L. A., Gadelha, A., Zugman, A., Mari, J., Jackowski, A., Picon, F., Miguel, E. C., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17040430 · Cited by 156 · cited 3× · see citing works
“An important exception is the recent study by Pan and colleagues [112], who found that resting state functional connectivity within the brain reward pathway predicted the new onset of depressive disorder – but not ADHD, anxiety or substance abuse – 3 years later.”
BackgroundLearned helplessness: unique features and translational value of a cognitive depression model
Vollmayr, B., & Gass, P. (2013) · Cell and Tissue Research · doi:10.1007/s00441-013-1654-2 · Cited by 155 · cited 1× · see citing works
“While superficially, the FST and TST appear to link to concepts of learned helplessness in that animals learn that their actions are ineffective, they do not capture the central tenet of learned helplessness [60], which is, that having experienced the ineffectiveness of actions when in an uncontrollable context, anima…”
BackgroundA deep learning framework for automatic diagnosis of unipolar depression
Mumtaz, W., & Qayyum, A. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.103983 · Cited by 155 · see citing works
Mapping anhedonia-specific dysfunction in a transdiagnostic approach: an ALE meta-analysis
Zhang, B., Lin, P., Shi, H., Öngür, D., Auerbach, R. P., Wang, X., Yao, S., & Wang, X. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9457-6 · Cited by 152 · see citing works
Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience
Keynan, J. N., Cohen, A., Jackont, G., Green, N., Goldway, N., Davidov, A., Meir-Hasson, Y., Raz, G., Intrator, N., Fruchter, E., et al. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0484-3 · Cited by 148 · see citing works
Response conflict and frontocingulate dysfunction in unmedicated participants with major depression
Holmes, A. J., & Pizzagalli, D. A. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.05.028 · Cited by 146 · see citing works
Self-citationComte, M., Schön, D., Coull, J. T., Reynaud, E., Khalfa, S., Belzeaux, R., Ibrahim, E. C., Guedj, E., Blin, O., Weinberger, D. R., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu185 · Cited by 142 · see citing works
Farb, N. A. S., Anderson, A. K., Bloch, R. T., & Segal, Z. V. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.009 · Cited by 141 · see citing works
Dannlowski, U., Ohrmann, P., Bauer, J., Kugel, H., Arolt, V., Heindel, W., Kersting, A., Baune, B. T., & Suslow, T. (2007) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0742 · Cited by 139 · see citing works
Blockade of Astrocytic Glutamate Uptake in the Prefrontal Cortex Induces Anhedonia
John, C. S., Smith, K. L., Van'T Veer, A., Gompf, H. S., Carlezon, W. A., Cohen, B. M., Öngür, D., & Bechtholt-Gompf, A. J. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.105 · Cited by 136 · see citing works
Long, Z., Du, L., Zhao, J., Wu, S., Zheng, Q., & Lei, X. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.06.072 · Cited by 136 · see citing works
Korgaonkar, M. S., Grieve, S. M., Etkin, A., Koslow, S. H., & Williams, L. M. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2012.252 · Cited by 135 · see citing works
Reduced default mode network suppression during a working memory task in remitted major depression
Bartova, L., Meyer, B. M., Diers, K., Rabl, U., Scharinger, C., Popovic, A., Pail, G., Kalcher, K., Boubela, R. N., Huemer, J., et al. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.02.025 · Cited by 135 · see citing works
A review of fMRI studies during visual emotive processing in major depressive disorder
Jaworska, N., Yang, X.-R., Knott, V., & MacQueen, G. (2015) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2014.885659 · Cited by 133 · see citing works
Self-referential processing and the prefrontal cortex over the course of depression: A pilot study
Lemogne, C., Mayberg, H. S., Bergouignan, L., Emmanuelle Volle, C., Delaveau, P., Lehéricy, S., Allilaire, J., & Fossati, P. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.11.003 · Cited by 130 · see citing works
Lu, Q., Li, H., Luo, G., Wang, Y., Tang, H., Han, L., & Yao, Z. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.06.058 · Cited by 129 · see citing works
A review of selected candidate endophenotypes for depression
Goldstein, B. L., & Klein, D. N. (2014) · Clinical Psychology Review · doi:10.1016/j.cpr.2014.06.003 · Cited by 128 · see citing works
Neural mechanisms of reinforcement learning in unmedicated patients with major depressive disorder
Rothkirch, M., Tonn, J., Köhler, S., & Sterzer, P. (2017) · Brain · doi:10.1093/brain/awx025 · Cited by 124 · see citing works
Pirnia, T., Joshi, S. H., Leaver, A. M., Vasavada, M., Njau, S., Woods, R. P., Espinoza, R., & Narr, K. L. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.102 · Cited by 122 · see citing works
Alexander, L., Gaskin, P. L. R., Sawiak, S. J., Fryer, T. D., Hong, Y. T., Cockcroft, G. J., Clarke, H. F., & Roberts, A. C. (2019) · Neuron · doi:10.1016/j.neuron.2018.11.021 · Cited by 120 · see citing works
Self-citationGriffiths, K. R., Morris, R. W., & Balleine, B. W. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00101 · Cited by 118 · see citing works
Feffer, K., Fettes, P., Giacobbe, P., Daskalakis, Z. J., Blumberger, D. M., & Downar, J. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2017.11.011 · Cited by 116 · see citing works
Neural mechanisms underlying heterogeneity in the presentation of anxious temperament
Shackman, A. J., Fox, A. S., Oler, J. A., Shelton, S. E., Davidson, R. J., & Kalin, N. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214364110 · Cited by 113 · see citing works
Abdallah, C. G., Averill, C. L., Salas, R., Averill, L. A., Baldwin, P. R., Krystal, J. H., Mathew, S. J., & Mathalon, D. H. (2017) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.04.006 · Cited by 111 · see citing works
Cortical Control of Affective Networks
Kumar, S., Black, S. J., Hultman, R., Szabo, S. T., DeMaio, K. D., Du, J., Katz, B. M., Feng, G., Covington, H. E., & Dzirasa, K. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0092-12.2013 · Cited by 110 · see citing works
The Value of Exercising Control Over Monetary Gains and Losses
Leotti, L. A., & Delgado, M. R. (2014) · Psychological Science · doi:10.1177/0956797613514589 · Cited by 110 · see citing works
Young, K. D., Misaki, M., Harmer, C. J., Victor, T. A., Zotev, V. S., Phillips, R., Siegle, G. J., Drevets, W. C., & Bodurka, J. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.03.013 · Cited by 110 · see citing works
Cortical thickness predicts the first onset of major depression in adolescence
Foland‐Ross, L. C., Sacchet, M. D., Prasad, G., Gilbert, B., Thompson, P. M., & Gotlib, I. H. (2015) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2015.07.007 · Cited by 109 · see citing works
Anyan, J., & Amir, S. (2018) · Neuropsychopharmacology · doi:10.1038/npp.2017.260 · Cited by 109 · see citing works
Young, C. B., Chen, T., Nusslock, R., Keller, J., Schatzberg, A. F., & Menon, V (2016) · Translational Psychiatry · doi:10.1038/tp.2016.80 · Cited by 108 · see citing works
Baratta, M. V., Zarza, C. M., Gomez, D. M., Campeau, S., Watkins, L. R., & Maier, S. F. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06867.x · Cited by 106 · see citing works
Ketamine normalizes subgenual cingulate cortex hyper-activity in depression
Morris, L. S., Costi, S., Tan, A., Stern, E. R., Charney, D. S., & Murrough, J. W. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-019-0591-5 · Cited by 104 · see citing works
Papciak, J., Popik, P., Fuchs, E., & Rygula, R. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.08.036 · Cited by 101 · see citing works
Cognitive Control in Depression: Toward Clinical Models Informed by Cognitive Neuroscience
Grahek, I., Everaert, J., Krebs, R. M., & Koster, E. H. W. (2018) · Clinical Psychological Science · doi:10.1177/2167702618758969 · Cited by 101 · see citing works
Der-Avakian, A., D'Souza, M. S., Pizzagalli, D. A., & Markou, A. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.74 · Cited by 100 · see citing works
Self-citationAlexander, L., Wood, C. M., Gaskin, P. L. R., Sawiak, S. J., Fryer, T. D., Hong, Y. T., McIver, L., Clarke, H. F., & Roberts, A. C. (2020) · Nature Communications · doi:10.1038/s41467-020-19167-0 · Cited by 100 · see citing works
Self-citationStapelberg, N. J. C., Hamilton‐Craig, I. R., Neumann, D. L., Shum, D., & McConnell, H. W. (2012) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867412444624 · Cited by 99 · see citing works
Neural correlates of automatic mood regulation in girls at high risk for depression.
Joormann, J., Cooney, R. E., Henry, M. L., & Gotlib, I. H. (2012) · Journal of Abnormal Psychology · doi:10.1037/a0025294 · Cited by 98 · see citing works
Antidepressant action of HDAC inhibition in the prefrontal cortex
Covington, H. E., Maze, I., Vialou, V., & Nestler, E. J. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.04.030 · Cited by 97 · see citing works
Neurochemistry of major depression: a study using magnetic resonance spectroscopy
Godlewska, B. R., Near, J., & Cowen, P. J. (2015) · Psychopharmacology · doi:10.1007/s00213-014-3687-y · Cited by 97 · see citing works
Lan, M. J., Chhetry, B. T., Liston, C., Mann, J. J., & Dubin, M. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.02.011 · Cited by 96 · see citing works
Boes, A. D., Uitermarkt, B. D., Albazron, F. M., Lan, M. J., Liston, C., Pascual-Leone, A., Dubin, M. J., & Fox, M. D. (2018) · Brain Stimulation · doi:10.1016/j.brs.2018.01.029 · Cited by 94 · see citing works
Kong, L., Chen, K., Tang, Y., Wu, F., Driesen, N., Womer, F., Fan, G., Ren, L., Jiang, W., Cao, Y., et al. (2013) · Journal of Psychiatry & Neuroscience · doi:10.1503/jpn.120117 · Cited by 93 · see citing works
Moreines, J. L., Owrutsky, Z. L., & Grace, A. A. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.249 · Cited by 93 · see citing works
Hooley, J. M., Gruber, S. A., Parker, H. A., Guillaumot, J., Rogowska, J., & Yurgelun-Todd, D. A. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.04.001 · Cited by 92 · see citing works
Dillon, D. G., & Pizzagalli, D. A. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.01.001 · Cited by 91 · see citing works
Self-citationNeural correlates during working memory processing in major depressive disorder
Wang, X.-L., Du, M.-Y., Chen, T.-L., Chen, Z.-Q., Huang, X.-Q., Luo, Y., Zhao, Y.-J., Kumar, P., & Gong, Q.-Y. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.08.011 · Cited by 89 · see citing works
Rygula, R., Clarke, H. F., Cardinal, R. N., Cockcroft, G. J., Xia, J., Dalley, J. W., Robbins, T. W., & Roberts, A. C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu102 · Cited by 85 · see citing works
Self-citationWang, L., Krishnan, K. R., Steffens, D. C., Potter, G. G., Dolcos, F., & McCarthy, G. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07101590 · Cited by 84 · see citing works
Deep learning for the prediction of treatment response in depression
Squarcina, L., Villa, F. M., Nobile, M., Grisan, E., & Brambilla, P. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.11.104 · Cited by 84 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Seligman MEP. Depression and learned helplessness. In The psychology of depression: contemporary theory and research. New York: Winston-Wiley; 1974, p. 83–113.
Cited by
Sorted by citations
Major depressive disorder: hypothesis, mechanism, prevention and treatment
Cui, L., Li, S., Wang, S., Wu, X., Liu, Y., Yu, W., Wang, Y., Tang, Y., Xia, M., & Li, B. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01738-y · Cited by 1,061 · see citing works
“New multi-modal evaluation scales Given that structural and functional abnormalities are associated with MDD, 274 using multimodal approaches is more appropriate than relying on a single feature for the diagnosis of MDD.”
MethodRegional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders
Segal, A., Parkes, L., Aquino, K. M., Kia, S. M., Wolfers, T., Franke, B., Hoogman, M., Beckmann, C. F., Westlye, L. T., Andreassen, O. A., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01404-6 · Cited by 261 · see citing works
“The right PFC showed 21% overlap in MDD cases, whereas the left PFC showed 14–15% overlap in BP. Extensive literature implicates lateral PFC dysfunction in affective disorders 48,50,51 , and the dorsolateral PFC is a popular brain stimulation target in both MDD 52 and BP 53 .”
Pizzagalli, D. A. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20220423 · Cited by 204 · see citing works
Self-citationSpatially resolved mapping of cells associated with human complex traits
Song, L., Chen, W., Hou, J., Guo, M., & Yang, J. (2025) · Nature · doi:10.1038/s41586-025-08757-x · Cited by 141 · see citing works
Canalization and plasticity in psychopathology
Carhart-Harris, R. L., Chandaria, S., Erritzøe, D., Gazzaley, A. H., Girn, M., Kettner, H., Mediano, P. A. M., Nutt, D. J., Rosas, F. E., Roseman, L., et al. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109398 · Cited by 103 · see citing works
Erritzøe, D., Godlewska, B. R., Rizzo, G., Searle, G. E., Agnorelli, C., Lewis, Y. L., Ashok, A. H., Colasanti, A., Boura, I., Farrell, C. M., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.10.012 · Cited by 90 · see citing works
Kokkosis, A. G., Madeira, M. M., Hage, Z., Valais, K., Koliatsis, D., Resutov, E., & Tsirka, S. E. (2023) · Glia · doi:10.1002/glia.24464 · Cited by 87 · see citing works
“To this end, experimental adaptations in animals using either lipopolysaccharide (LPS) or cytokine administration (IL-1 β or IL-6) resulted in loss of interest in reward sensitivity (Bartlett et al., 2018; Yohn et al., 2016) Neuroimaging studies of MDD patient cohorts have revealed that symptom severity is correlated…”
BackgroundInfluentialKopelman, J., Keller, T. A., Panny, B., Griffo, A., Degutis, M., Spotts, C., Cruz, N., Bell, E., Do-Nguyen, K., Wallace, M. L., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02451-0 · Cited by 60 · see citing works
“, negatively valanced faces) in depressed subjects relative to controls [46].”
BackgroundShao, J., Ma, X., Qu, L., Ma, P., Huang, R., & Fan, D. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.134639 · Cited by 60 · see citing works
Annual Research Review: Neuroimmune network model of depression: a developmental perspective
Nusslock, R., Alloy, L. B., Brody, G. H., & Miller, G. E. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13961 · Cited by 63 · see citing works
“The prefrontal cortex (PFC) is another brain system implicated in both risk and resilience for depression (Pizzagalli & Roberts, 2022).”
Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode
Stoyanov, D., Khorev, V. S., Paunova, R., Kandilarova, S., Simeonova, D., Badarin, A., Kurkin, S., & Hramov, A. E. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192114045 · Cited by 62 · see citing works
“Its involvement in depression has been supported by a number of structural and functional imaging studies [10,60].”
BackgroundNeurophysiological stratification of major depressive disorder by distinct trajectories
Chen, D., Wang, X., Voon, V., Jiang, Y., Lo, C. Z., Wang, L., Shen, C., Xiang, S., Yao, S., Zhang, J., et al. (2023) · Nature Mental Health · doi:10.1038/s44220-023-00139-4 · Cited by 57 · see citing works
“4b), which converges well with previous studies 2,53 .”
BackgroundResultInfluentialLv, S., Yao, K., Zhang, Y., & Zhu, S. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109378 · Cited by 57 · see citing works
Arnsten, A. F. T., Joyce, M. K. P., & Roberts, A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105000 · Cited by 58 · see citing works
“co-morbid anxiety in depression (Pizzagalli and Roberts, 2022), supporting the hypothesis that the heightened overactivity reported in depression may underlie these particular symptoms.”
Self-citationTime-course of the tDCS antidepressant effect: An individual participant data meta-analysis
Nikolin, S., Moffa, A. H., Razza, L. B., Martin, D. M., Brunoni, A. R., Palm, U., Padberg, F., Bennabi, D., Haffen, É., Blumberger, D. M., et al. (2023) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2023.110752 · Cited by 51 · see citing works
Webb, C. A., Murray, L., Tierney, A. O., Forbes, E. E., & Pizzagalli, D. A. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01481-4 · Cited by 51 · see citing works
Self-citationKlein, F., Kohl, S. H., Lührs, M., Mehler, D. M. A., & Sorger, B. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0087 · Cited by 57 · see citing works
Besteher, B., Rocktäschel, T., Garza, A. P., Machnik, M., Ballez, J., Helbing, D. L., Finke, K., Reuken, P. A., Güllmar, D., Christian Gaser, B., et al. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.11.028 · Cited by 50 · see citing works
TRPV4 inhibitor HC067047 produces antidepressant-like effect in LPS-induced depression mouse model
Li, W., Xu, Y., Liu, Z., Shi, M., Zhang, Y., Deng, Y., Zhong, X., Chen, L., He, J., Zeng, J., et al. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108834 · Cited by 48 · see citing works
Zhou, Z., Gao, Y., Bao, W., Liang, K., Cao, L., Tang, M., Li, H., Hu, X., Zhang, L., Sun, H., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105583 · Cited by 53 · see citing works
BrainLM: A foundation model for brain activity recordingsPreprint
Caro, J. O., Fonseca, A. H. D. O., Averill, C. L., Rizvi, S. A., Rosati, M., Cross, J. M., Mittal, P., Zappala, E., Levine, D., Dhodapkar, R. M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.12.557460 · Cited by 50 · see citing works
“These attention distributions agree with known functional alterations in depression [30, 31, 32].”
BackgroundHuang, H., Lin, Y., Panyod, S., Chen, R.-A., Lin, Y., Chai, L. M. X., Hsu, C., Wu, W., Lu, K., Huang, Y., et al. (2022) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2022.115872 · Cited by 47 · see citing works
A mesocorticolimbic signature of pleasure in the human brain
Kragel, P. A., Treadway, M. T., Admon, R., Pizzagalli, D. A., & Hahn, E. C. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01639-0 · Cited by 41 · see citing works
“However, the functional homology of this network in humans and circuits identified in rodents is contested—particularly in prefrontal cortex and insula 19,20 .”
Self-citationTranscriptomic Similarity Informs Neuromorphic Deviations in Depression Biotypes
Li, J., Long, Z., Sheng, W., Du, L., Qiu, J., Chen, H., & Liao, W. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.08.003 · Cited by 41 · see citing works
Meta analysis of resting frontal alpha asymmetry as a biomarker of depression
Luo, Y., Tang, M., & Fan, X. (2025) · npj Mental Health Research · doi:10.1038/s44184-025-00117-x · Cited by 44 · see citing works
Su, P., Wu, M., Yin, X., Li, M., Li, Y., Bai, M., Wang, B., & Xu, E. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.116659 · Cited by 41 · see citing works
Feature-level fusion based on spatial-temporal of pervasive EEG for depression recognition
Zhang, B., Wei, D., Yan, G., Lei, T., Cai, H., & Yang, Z. (2022) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2022.107113 · Cited by 39 · see citing works
Bore, M. C., Liu, X., Huang, X., Kendrick, K. M., Zhou, B., Zhang, J., Klugah‐Brown, B., & Becker, B. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105835 · Cited by 40 · see citing works
Altered physical pain processing in different psychiatric conditions
Kim, D. J., Mirmina, J., Narine, S., Wachtel, J., Carbajal, J. M., Fox, H. C., & Cáceda, R. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.12.033 · Cited by 39 · see citing works
Attali, D., Tiennot, T., Manuel, T. J., Daniel, M., Houdouin, A., Annic, P., Dizeux, A., Haroche, A., Dadi, G., Henensal, A., et al. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.04.018 · Cited by 40 · see citing works
“Exploratory analysis evidenced a modification of SCC connectivity with both the right hippocampus and left dorsolateral prefrontal cortex (DLPFC) at the group level, two regions widely involved in TRD [77,78].”
Nucleus accumbens in the pathogenesis of major depressive disorder: A brief review
Yajie, J., Zou, M., Wang, Y., & Wang, Y. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.03.004 · Cited by 37 · see citing works
“A cluster of brain regions, such as the medial prefrontal cortex (mPFC) (Pizzagalli and Roberts, 2022), hip-”
Ren, F.-F., Alderman, B. L., Wang, W., Chen, F., Zhou, W.-S., Zong, W.-J., Liang, W.-M., & Chang, Y. (2023) · Sports Medicine · doi:10.1007/s40279-023-01869-2 · Cited by 37 · see citing works
Wang, G., Huang, Y., Zhang, Y., Liu, H., Shou, Z., & Wang, P. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107503 · Cited by 35 · see citing works
Meta-analysis of molecular imaging of translocator protein in major depression
Eggerstorfer, B., Kim, J.-H., Cumming, P., Lanzenberger, R., & Gryglewski, G. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.981442 · Cited by 35 · see citing works
“Similarly, we saw pronounced increases in TSPO-PET signals in the prefrontal cortex, which is also known as a region showing functional and structural changes in depressions (Pizzagalli and Roberts, 2022).”
BackgroundBao, P., Gong, Y., Wang, Y., Xu, M., Qian, Z., Ni, X., & Lu, J. (2023) · Biology · doi:10.3390/biology12081092 · Cited by 35 · see citing works
A theory of the neural mechanisms underlying negative cognitive bias in major depression
Jiang, Y. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1348474 · Cited by 38 · see citing works
“Simultaneously, the Prefrontal Cortex Dysfunction Hypothesis highlights that prefrontal cortex dysfunction in depression can result in challenges regulating negative emotions, perceiving reward and punishment, cognitive control, and decision-making in general (128 – 130).”
BackgroundUliana, D. L., Zhu, X., Gomes, F. V., & Grace, A. A. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.935320 · Cited by 32 · see citing works
“In animal research, stressbased models either during adulthood or early in life are widely used to approximate behavioral features of depression, such as anhedonia, amotivation, and helplessness (Pizzagalli and Roberts, 2022).”
BackgroundLi, W., Niu, L., Liu, Z., Xu, X., Shi, M., Zhang, Y., Deng, Y., He, J., Xu, Y., Wan, W., et al. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136290 · Cited by 33 · see citing works
Probabilistic Reinforcement Learning and Anhedonia
Kangas, B. D., Der‐Avakian, A., & Pizzagalli, D. A. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_349 · Cited by 34 · see citing works
Self-citationLee, K. Y., Shin, J., Lee, J., Yoo, J., Kim, J.-W., & Brent, D. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.27331 · Cited by 29 · see citing works
From Stress to Synapse: The Neuronal Atrophy Pathway to Mood Dysregulation
Krasner, H., Ong, C. V., Hewitt, P., & Vida, T. A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26073219 · Cited by 36 · see citing works
“Additionally, altered functional integration across the prefrontal cortex and limbic structures may produce rigid negative biases, ultimately causing increased processing of negative information and decreased processing of positive information [107,154].”
Zhang, H., Xue, X., Pan, J., Song, X., Chang, X., Mao, Q., Lu, Y., Zhao, H., Wang, Y., Chi, X., et al. (2021) · Chinese Medicine · doi:10.1186/s13020-021-00519-x · Cited by 35 · see citing works
“mPFC, a hub region in the integration and consolidation of emotional responses to chronic stress, is highly impacted in depressive patients and animal models of chronic stress [4, 56].”
BackgroundDai, W.-P., Huang, S., Luo, Y. M., Cheng, X. R., Xia, P., Yang, M., Zhao, P., Zhang, Y., Lin, W., & Ye, X. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.886916 · Cited by 31 · see citing works
“Given the importance of ACC in depression (Etkin et al., 2011; Pizzagalli and Roberts, 2022), and female subjects being more prone to depression than male subjects (Altemus et al.”
BackgroundInfluentialDai, P., Lu, D., Shi, Y. Q., Zhou, Y. S., Xiong, T., Zhou, X., Chen, Z., Zou, B., Tang, H., Huang, Z., et al. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.07.077 · Cited by 31 · see citing works
Depression Recognition Using Daily Wearable-Derived Physiological Data
Shui, X., Xu, H. J., Tan, S., & Zhang, D. (2025) · Sensors · doi:10.3390/s25020567 · Cited by 35 · see citing works
Resting state EEG complexity as a predictor of cognitive performance
Wan, W., Gao, Z., Zhang, Q., Gu, Z., Chang, C., Peng, C., & Cui, X. (2023) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.128952 · Cited by 30 · see citing works
Inaba, H., Li, H., Kawatake-Kuno, A., Dewa, K., Nagai, J., Oishi, N., Murai, T., & Uchida, S. (2023) · Science Advances · doi:10.1126/sciadv.ade5397 · Cited by 29 · see citing works
Working memory function in patients with major depression disorder: A narrative review
Chen, L., Wang, Q., & Xu, T. (2022) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2811 · Cited by 31 · see citing works
Brain FNDC5/Irisin Expression in Patients and Mouse Models of Major Depression
Lima‐Filho, R. A. S., Fortuna, J. T. S., Cozachenco, D., Isaac, A. R., Silva, N. M. L. E., Saldanha, A., Santos, L. E., Ferreira, S. T., Lourenco, M. V., & Felice, F. G. D. (2023) · eNeuro · doi:10.1523/eneuro.0256-22.2023 · Cited by 31 · see citing works
“The prefrontal cortex is notably impaired in MDD patients and rodent models of depressive-like behavior (Pizzagalli and Roberts, 2022).”
BackgroundDorsal peduncular cortex activity modulates affective behavior and fear extinction in mice
Botterill, J. J., Khlaifia, A., Appings, R., Wilkin, J., Violi, F., Premachandran, H., Cruz-Sanchez, A., Canella, A. E., Patel, A. V., Zaidi, S. D., et al. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01795-5 · Cited by 26 · see citing works
“The mPFC has a well-established role in modulating depression-like behavior [90] in both stress-naïve [54 – 57, 91, 92] and stress conditions [91, 93 – 98], including IL-speci fi c manipulations [55, 57].”
Brain mechanisms underlying the emotion processing bias in treatment-resistant depression
Fan, X., Mocchi, M. M., Pascuzzi, B., Xiao, J., Metzger, B. A., Mathura, R. K., Hacker, C. D., Adkinson, J. A., Bartoli, E., Elhassa, S., et al. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00238-w · Cited by 27 · see citing works
Du, X., Li, Z., Yuan, N., Yin, M., Zhao, X., Lv, X., Zou, S., Zhang, J., Zhang, G., Li, C., et al. (2022) · World Journal of Psychiatry · doi:10.5498/wjp.v12.i9.1169 · Cited by 26 · see citing works
Christodoulou, C. C., Onisiforou, A., Zanos, P., & Papanicolaou, E. Z. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1273855 · Cited by 27 · see citing works
Amemori, S., Graybiel, A. M., & Amemori, K. (2024) · Nature Communications · doi:10.1038/s41467-024-48375-1 · Cited by 24 · see citing works
“We demonstrate here a potential mechanism by which the dlPFC regulates the activity of the network of cingulo-striatal regions that have been implicated in clinical 14,49,59 and experimental studies 50,60 of depression.”
Chen, J., Li, T., Huang, D., Gong, W., Tian, J., Gao, X., Qin, X., Du, G., & Zhou, Y. (2023) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2023.08.008 · Cited by 24 · see citing works
Pang, F., Yang, Y., Huang, S., Yang, Z., Zhu, Z., Liao, D., Guo, X., Zhou, M., Li, Y., & Tang, C. (2023) · Brain Sciences · doi:10.3390/brainsci13030436 · Cited by 25 · see citing works
“As previously noted, our study and other previous studies have shown that CUMS exposure induces inflammatory injury in both prefrontal cortices [8,50].”
BackgroundResultLiu, C., Belleau, E. L., Dong, D., Sun, X., Xiong, G., Pizzagalli, D. A., Auerbach, R. P., Wang, X., & Yao, S. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.05.074 · Cited by 22 · see citing works
Self-citationDo the therapeutic effects of psilocybin involve actions in the gut?
Reed, F. M., & Foldi, C. J. (2024) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2023.12.007 · Cited by 24 · see citing works
Behrens, L. M. P., Gasparotto, J., Rampelotto, P. H., Escalona, M. A. R., da Silva, L. D. S., Kessler, F. G. C., Barbosa, C. P., Campos, M. S., Dorn, M., Gelain, D. P., et al. (2024) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2024.109660 · Cited by 25 · see citing works
Clancy, K. J., Devignes, Q., Kumar, P., May, V., Hammack, S. E., Akman, E., Casteen, E. J., Pernia, C. D., Jobson, S. A., Lewis, M. W., et al. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01593-5 · Cited by 22 · see citing works
“Moreover, heterogeneity in prefrontal cortex findings in PTSD [93, 94] mirrors the heterogeneity of prefrontal subregions and their distinct task-dependent functions [86, 95].”
BackgroundBruin, W. B., Oltedal, L., Bartsch, H., Abbott, C., Árgyelán, M., Barbour, T. A., Camprodon, J. A., Chowdhury, S. R., Espinoza, R. T., Mulders, P. C. R., et al. (2023) · Psychological Medicine · doi:10.1017/s0033291723002040 · Cited by 22 · see citing works
“Clinical and preclinical studies on depression have consistently reported functional, structural, and system-level abnormalities that span many PFC regions (Pizzagalli & Roberts, 2022; Price & Drevets, 2012).”
Hernández-Sauret, A., de la Torre, O. M., & Redolar-Ripoll, E. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01193-w · Cited by 22 · see citing works
“Additionally, there are heightened amygdalar responses when dealing with tasks related to negative information (Pizza-galli, 2011; Pizzagalli & Roberts, 2022).”
BackgroundTeng, T., Huang, F., Xu, M. G., Li, X., Zhang, L., Yin, B., Cai, Y. A., Chen, F., Zhang, L., Zhang, J., et al. (2025) · Microbiome · doi:10.1186/s40168-025-02122-w · Cited by 26 · see citing works
Ding, Z., Gao, J., Feng, Y., Wang, M., Zhao, H., Wu, R., Zheng, X., Feng, X., & Lai, M. (2023) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s436177 · Cited by 21 · see citing works
“26 Experimental studies have shown that unilateral ischemic lesion to the prefrontal cortex leads to pronounced and persistent anxiety and depression phenotypes.”
BackgroundSingh, K., & Wendt, F. R. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02730-4 · Cited by 26 · see citing works
“The prefrontal cortex is one region of the brain most consistently impaired in internalizing disorders like major depression and posttraumatic stress disorders [92, 93].”
BackgroundRygvold, T. W., Hatlestad‐Hall, C., Elvsåshagen, T., Moberget, T., & Andersson, S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.867675 · Cited by 21 · see citing works
“Consistent with what is seen in animal models, imaging studies show robust evidence of volume reduction in both cortical and limbic regions, including PFC and hippocampus, in depressed patients (Sheline et al., 1996; Pizzagalli and Roberts, 2021).”
ResultKaul, D., Schwab, S. G., Mechawar, N., Ooi, L., & Matosin, N. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2410-21.2022 · Cited by 20 · see citing works
Zwalmen, Y. V., Liebaert, E., Hoorelbeke, K., de Mévergnies, C. N., Baeken, C., Verhaeghe, N., & Koster, E. H. W. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09581-8 · Cited by 21 · see citing works
“Unad-justed levels of prefrontal functioning can lead to increased amygdala reactivity, which has often been observed in depression (Pizzagalli & Roberts, 2021), and on a behavioral level has been linked with cognitive control impairments.”
Yarur, H. E., Casello, S. M., Tsai, V. S., Enríquez-Traba, J., Kore, R., Wang, H., Arenivar, M. A., & Tejeda, H. A. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02226-5 · Cited by 20 · see citing works
Lu, F., Cui, Q., Zou, Y., Guo, Y., Luo, W., Yu, Y., Gao, J., Cai, X., Fu, L., Yuan, S., et al. (2023) · Bioengineering · doi:10.3390/bioengineering10121374 · Cited by 22 · see citing works
“The PFC is a pivotal region implicated in a wide range of functions including executive function, decision-making, emotional regulation, and reward-guided behavior, which is involved in the neurobiological mechanisms underlying MDD [54,55].”
BackgroundHabermann, M., Strube, A., & Büchel, C. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.09.014 · Cited by 20 · see citing works
Li, S., Zhang, J., Li, J., Hu, Y., Zhang, M., & Wang, H. (2025) · Frontiers in Neural Circuits · doi:10.3389/fncir.2025.1516839 · Cited by 20 · see citing works
Peng, S., Su, P., Liu, L., Li, Z., Liu, Y., Tian, L., Bai, M., Xu, E., & Li, Y. (2025) · Molecular Medicine · doi:10.1186/s10020-025-01217-2 · Cited by 21 · see citing works
Seewoo, B. J., Rodger, J., Demitrack, M. A., Heart, K. L., Port, J. D., Strawn, J. R., & Croarkin, P. E. (2022) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyac007 · Cited by 21 · see citing works
Klingbeil, J., Brandt, M.-L., Stockert, A., Baum, P., Hoffmann, K., Saur, D., & Wawrzyniak, M. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1144228 · Cited by 19 · see citing works
Dicarlo, M., Pignataro, P., Zerlotin, R., Suriano, C., Zecca, C., Dell’Abate, M. T., Storlino, G., Oranger, A., Sanesi, L., Mori, G., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119111 · Cited by 21 · see citing works
“…regarding irisin’s antidepressant effect by examining the expression of selected genes in cerebral areas considered to be the most implicated in MDD, i.e., the hippocampus and the PFC [27–29]. in cerebral areas considered to be the most implicated in MDD, i.e., the hippocampus and the PFC [27–29].”
BackgroundNing, B., Wang, Z., He, J., Wu, Q., Deng, Q., Yang, Q., Gao, J., Fu, W., Deng, Y., Wu, B., et al. (2023) · Brain Research · doi:10.1016/j.brainres.2023.148609 · Cited by 21 · see citing works
Jia, H., Zhang, M., Yiyun, C., Zhiguo, W., Su, Y., Feng, J., Zhu, N., Fang, Y., & Daihui, P. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.11.051 · Cited by 24 · see citing works
Khayretdinova, M., Zakharov, I., Pshonkovskaya, P., Adamovich, T., Kiryasov, A., Zhdanov, A. V., & Shovkun, A. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120495 · Cited by 20 · see citing works
Tang, L., Cao, X., Chen, S., Jiang, X., Li, D., & Chen, G. (2024) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.4c00205 · Cited by 20 · see citing works
Liu, H., Zhang, Y., Hou, X., Zhu, C., Yang, Q., Li, K., Fan, L., Zhang, X., Jiang, X., Jin, X., et al. (2024) · Experimental Neurology · doi:10.1016/j.expneurol.2024.114822 · Cited by 21 · see citing works
Origins and consequences of mood flexibility: a computational perspective
Pessiglione, M., Heerema, R., Jean Daunizeau, A., & Vinckier, F. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105084 · Cited by 19 · see citing works
Yılmaz, N. S., Şen, B., Karadag, R. F., Aslan, S., Ertek, İ. E., Bozkurt, A., Çiçek, S., Bolu, A., Ucar, H., Koçak, C., et al. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02553-x · Cited by 19 · see citing works
“2015), these findings made us think that inflammation may have a Janus-faced impact on MDD pathogenesis.”
BackgroundInfluentialMahmud, A., Avramescu, R. G., Niu, Z., & Flores, C. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1113023 · Cited by 19 · see citing works
“Nonetheless, the rodent prelimbic and infralimbic subregions of the PFC are considered functionally homologous to the human pregenual anterior cingulate cortex (Brodmann area 24) and the subgenual cingulate cortex (Brodmann area 25), both widely shown to be involved in MDD (Uylings et al., 2003; Kolb et al., 2012; Piz…”
BackgroundDepression and approach-avoidance decisions to emotional displays: The role of anhedonia
Grèzes, J., Risch, N., Courtet, P., Olié, É., & Mennella, R. (2023) · Behaviour Research and Therapy · doi:10.1016/j.brat.2023.104306 · Cited by 16 · see citing works
Zheng, J., Li, X., Lin, W.-Y., Su, S., Wu, H., Hu, R.-D., Pan, H., Ye, J.-H., Cai, Y., & Zhang, S. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.116658 · Cited by 19 · see citing works
Hu, J.-H., Zhou, D., Ma, L.-L., Zhao, L., He, X., Peng, X., Chen, R., Chen, W.-J., Jiang, Z., Ran, L., et al. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.07.020 · Cited by 19 · see citing works
Noda, Y., Sakaue, K., Wada, M., Takano, M., & Nakajima, S. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14010101 · Cited by 19 · see citing works
“Given that previous studies have indicated that the right prefrontal cortex in MDD is relatively hyperexcited [36,37], the increased gamma phase synchronization between F6 and F4 electrodes may reflect this endophenotype.”
BackgroundJu, M., Zhang, Z., Gao, F., Chen, G., Zhao, S., Wang, D., Wang, H., Jia, Y., Shen, L., Yuan, Y., et al. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202402219 · Cited by 19 · see citing works
Milic, J., Jovic, S., & Sapic, R. (2025) · Genes · doi:10.3390/genes16050487 · Cited by 19 · see citing works
“…information for the improvement of diagnosis, treatment by monitoring the volume of gray matter of the hippocampus [29], prefrontal cortex [30], basal ganglia through neuroimaging [31], presentation of HPA axis hyperactivity [32], thyroid gland dysfunction [33], monitoring of dopamine…”
Riga, M. S., Pérez-Fernández, M., Miquel-Rio, L., Paz, V., Campa, L., Martínez‐Losa, M., Esteban, F. J., Callado, L. F., Meana, J. J., Artigas, F., et al. (2024) · Brain · doi:10.1093/brain/awae167 · Cited by 21 · see citing works
Modzelewski, S., Naumowicz, M., Suprunowicz, M., Oracz, A. J., & Waszkiewicz, N. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14041119 · Cited by 20 · see citing works
“Moreover, both GAD and depression show impairments in PFC function [69–71].”
Towards translational modeling of behavioral despair and its treatment in zebrafish
Kositsyn, Y. M., Volgin, A. D., de Abreu, M. S., Demin, K. A., Zabegalov, K. N., Maslov, G. O., Petersen, E. V., Kolesnikova, T. O., Strekalova, T., & Kalueff, A. V. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113906 · Cited by 18 · see citing works
Pan, R., Ye, S.-F., Zhong, Y., Chen, Q., & Cai, Y. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1197393 · Cited by 21 · see citing works
“These findings provide candidate modulation targets for tACS intervention in MDD for clinical practice. and functional abnormalities in the reward network are closely associated with anhedonia, the core symptom of MDD (Pizzagalli and Roberts, 2022).”
BackgroundLiao, Q., Zhang, Z., Yang, X., Wei, J., Wang, M., Dou, Y., Du, Y., & Ma, X. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.01.173 · Cited by 18 · see citing works
Zhao, J., Jia, H., Ma, P., Zhu, D. Y., & Fang, Y. (2025) · Pharmacological Research · doi:10.1016/j.phrs.2025.107717 · Cited by 19 · see citing works
Arzola, E. P., Xiong, W., & Mei, L. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.05.016 · Cited by 17 · see citing works
Yue, S., Wang, Y., & Wang, Z. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109204 · Cited by 19 · see citing works
“Functional changes in these neurons have been implicated in many brain disorders, such as autism spectrum disorder (Stoner et al., 2014), depression (Pizzagalli and Roberts, 2022), substance use disorder (Goldstein and Volkow, 2011) and Alzheimer’s diseases (Salat et al., 2001).”
BackgroundKim, K., Hwang, G., Cho, Y. H., Kim, E. J., Woang, J. W., Hong, C. H., Son, S. J., & Roh, H. W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192315655 · Cited by 16 · see citing works
Nhu, N. T., Chen, D. Y. T., Yang, Y. S. H., Lo, Y., & Kang, J. (2023) · Journal of Pain · doi:10.1016/j.jpain.2023.10.015 · Cited by 18 · see citing works
- Authors
- Pizzagalli, D. A., & Roberts, A. C.
- Affiliations
- Harvard University (US)
- University of Cambridge (GB)
- Corresponding author
- Pizzagalli, Diego A.
- Roberts, Angela C.
- Venue
- Neuropsychopharmacology
- Published
- 2021-08-02
- Volume
- 47
- Issue
- 1
- Pages
- 225-246
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC8617037
- OpenAlex
- W3189676709
- Cited by
- 644
- References
- 286
- Citations by year
- 2026: 128 · 2025: 191 · 2024: 143 · 2023: 111 · 2022: 42 · 2021: 4
- FWCI
- 34.51
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-08-19)
- Open access
- bronze
- doi.org
- Locations
- Neuropsychopharmacology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R37 MH068376, R01 MH108602, P50 MH119467, R01 MH095809)
- RCUK | Medical Research Council (M023990/1)
- Wellcome Trust (108089/Z/15/Z)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- prefrontal cortex, major depressive disorder, anhedonia, learned helplessness, despair-like behavior, neural pathways, depression treatment, depression vulnerability
- MeSH terms
- Brain, Depression, Depressive Disorder, Major, Major Depressive Disorder, Humans, Magnetic Resonance Imaging, Prefrontal Cortex, Anhedonia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review