Neural connectivity during affect labeling predicts treatment response to psychological therapies for social anxiety disorder.
Open accessAbstract
Background: Although psychological treatments for social anxiety disorder (SAD) can be highly effective, many individuals do not respond to treatment. Identifying factors associated with improved outcomes can facilitate individualized treatment choices. We investigated whether patterns of neural connectivity predicted treatment responses and whether treatment type, cognitive behavioral therapy (CBT) or acceptance and commitment therapy (ACT), moderated this effect.Methods: Participants with SAD (n = 34) underwent fMRI prior to treatment and completed implicit and explicit emotion regulation tasks. Neural connectivity measures were estimates of amygdala-prefrontal cortex connectivity. Treatment responder status was defined using the 'clinically significant change index' (Loerinc et al., 2015).Results: Right amygdala-right ventrolateral prefrontal cortex connectivity during implicit emotion regulation was a significant predictor of treatment response (OR = 9.01, 95% CI = 1.77, 46.0, p = .008). Stronger inverse connectivity was associated with greater likelihood of treatment response. There were no significant neural moderators of treatment response to CBT versus ACT.Limitations: The primary limitation of this work was the small sample size which restricted the power to detect significant moderation effects, and results should be interpreted as preliminary.Conclusions: Amygdala-vlPFC connectivity during affect labeling predicted treatment responder status following CBT or ACT for social anxiety disorder. This suggests that the functioning of neural circuitry supporting emotion regulation capacities may be a 'gateway' to receiving benefit from psychological treatments. Future work should aim to replicate this effect in a larger sample and consider methods for enhancing functional connectivity within this circuitry as a potential treatment adjunct.
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Claims the paper makes
19 of 43 cited sources checked · 12 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Greater symptom reduction following cognitive behavioral therapy is associated with greater pre-treatment neural responses to emotional stimuli within anterior cingulate cortex, dorsomedial/ventromedial prefrontal cortex, and occipital and parietal areas.
“greater symptom reduction following CBT was associated with greater pre-treatment neural responses to emotional stimuli (emotional faces or rejecting statements) within the anterior cingulate cortex (ACC), dm/vmPFC and areas of occipital and parietal lobe (dACC and dmPFC; Burklund et al., 2017; Doehrmann et al., 2013; Klumpp et al., 2014; Klumpp et al., 2013)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Burklund et al., 2017 source
Results §3.2 reports that greater pre-treatment responses to rejecting versus neutral videos in pregenual ACC/VMPFC and bilateral parietal and occipital regions predicted greater CBT-related symptom reduction. It does not report dmPFC or dACC as predictors of CBT response; its ACC finding is specifically pregenual. Page numbers were not available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Doehrmann et al., 2013 source
The Results (Regression Analyses With Brain Responses; page unavailable) report that greater pretreatment responses to angry versus neutral faces in two occipitotemporal clusters correlated with greater CBT response. They do not report the claimed association in anterior cingulate, dorsomedial or ventromedial prefrontal, or parietal regions. Other prefrontal correlations did not survive correction for multiple comparisons. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Klumpp et al., 2014 source
The Discussion (page not provided) links greater CBT improvement to higher pre-treatment dorsal ACC and dmPFC activity during attentional control in the presence of emotional faces, and to higher vmPFC activity during emotion perception. It does not report the claimed positive association in occipital and parietal areas; instead, it says its visual-region finding was limited to the inferior temporal gyrus, where less activity predicted improvement. (LLM, conf=0.89)
Experimental — accuracy not yet measured
- Premisecitation
Altered connectivity between the amygdala and dorsomedial prefrontal cortex, medial orbitofrontal cortex, and ventrolateral/dorsolateral prefrontal cortex has been observed following cognitive behavioral therapy.
“studies demonstrating altered connectivity following CBT between amygdala and dmPFC, mOFC and vl/dlPFC (Goldin et al., 2013; Goldin et al., 2014; Månsson et al., 2013)”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Goldin et al., 2013 source
The Results and Discussion sections on cognitive reappraisal report greater inverse connectivity between the dorsomedial prefrontal cortex and left amygdala after CBT, compared with waitlist. They describe connectivity with medial and dorsolateral prefrontal regions as connections to the dorsomedial prefrontal cortex, not to the amygdala; they do not establish the claimed amygdala connections with medial orbitofrontal or ventrolateral prefrontal cortex. Page numbers were not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Goldin et al., 2014 source
The Introduction (page not specified) reports a companion study’s finding of greater inverse connectivity between the amygdala and dorsomedial PFC after CBT. The Results section’s exploratory connectivity analysis (page not specified) instead uses an anterior medial PFC seed; it does not show amygdala connectivity with medial orbitofrontal or ventrolateral/dorsolateral PFC. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Månsson et al., 2013 source
- Premisecitation
In prior work by the authors, social anxiety disorder symptom reduction following cognitive behavioral therapy or acceptance and commitment therapy was associated with enhanced inverse connectivity between ventromedial/ventrolateral prefrontal cortex and amygdala during implicit emotion regulation.
“In previous work, we demonstrated that enhanced inverse connectivity within this circuitry was associated with symptom reduction following treatment, collapsing across CBT and ACT groups (Young et al., 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Young et al., 2017 source
- Premisecitation
Compared with healthy individuals, patients with social anxiety disorder show disrupted activation in the amygdala and prefrontal cortex.
“patients with SAD show: i) disrupted activation in the amygdala and regions of the prefrontal cortex (for reviews, see Berkman and Lieberman, 2009; Freitas-Ferrari et al., 2010; Kim et al., 2011)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Berkman and Lieberman, 2009 source
The Review of Neuroscience Investigations of Emotion Regulation discusses amygdala and prefrontal activation during emotion-regulation tasks, not differences between patients with social anxiety disorder and healthy individuals. Searches for social anxiety disorder, social phobia, and patient–control comparisons found no passage addressing the clinical claim; the indexed passages provide no page numbers. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites Freitas-Ferrari et al., 2010 source
- cites Kim et al., 2011 source
- Premisecitation
Long-term one-year outcomes following internet-delivered cognitive behavioral therapy for social anxiety disorder were predicted by decreased pre-treatment amygdala-dorsal anterior cingulate connectivity during a self-referential criticism task.
“one demonstrated that long-term (1 year) outcomes following internet-delivered CBT for SAD were predicted by decreased pre-treatment amygdala-dACC connectivity during a self-referential criticism task (Månsson et al., 2015)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Månsson et al., 2015 source
The Results (page not specified) report that pretreatment dACC–amygdala coupling during self-referential criticism was lower in one-year responders than in nonresponders. However, the predictive analysis used patterns of BOLD response in the dACC and amygdala, not decreased connectivity itself as the predictor. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
A recent study found that regulatory neural connectivity from orbitofrontal cortex to amygdala was modulated by cognitive load.
“A recent study demonstrated that regulatory neural connectivity (orbitofrontal cortex to amygdala functional connectivity) was modulated by the level of cognitive load (using a Stroop task; Minkova et al., 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Minkova et al., 2017 source
- Study design and conductcitation
The symptom composite was created from the Liebowitz Social Anxiety Scale, Social Interaction Anxiety Scale, and Social Phobia Scale to generate a reliable and valid index of social anxiety symptoms.
“A composite score was created from the LSAS, SIAS, and SPS to generate a reliable and valid index of social anxiety symptoms (consistent with the main outcome paper for this study; Craske et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Craske et al., 2014 source
- Findingown data
Right ventrolateral prefrontal cortex-right amygdala connectivity classified participants as treatment responders or not with 69% accuracy, 67% sensitivity, and 71% specificity based on k-fold cross-validation.
“Based on the k-fold cross validation results, right vlPFC-right amygdala connectivity classified participants as treatment responders or not (using ≥ .5 probability as predicting treatment response and < .5 probability as non-response) with 69% accuracy, 67% sensitivity, and 71% specificity.”
- Also stated in: § Discussion · plain
“In cross-validation analysis this connectivity estimate was found to predict treatment response with 69% accuracy.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
No other connectivity measures were significant predictors of treatment response, with all p values greater than .05.
“No other connectivity measures were significant predictors of treatment response (all p > .05).”
Quote in the paperSubstantial claim - Findingown data
The effect was specific to right amygdala-right ventrolateral prefrontal cortex connectivity during implicit emotion regulation predicting response to treatment for social anxiety disorder combining cognitive behavioral therapy and acceptance and commitment therapy.
“This effect was specific to right amygdala-right vlPFC connectivity during implicit emotion regulation predicting response to treatment for social anxiety disorder (combining CBT and ACT).”
Quote in the paperSubstantial claim - Findingown data
Right amygdala-right ventrolateral prefrontal cortex connectivity during implicit emotion regulation predicted treatment response, with stronger inverse connectivity associated with greater likelihood of response, regardless of treatment condition.
“Right amygdala-right ventrolateral prefrontal cortex connectivity during implicit emotion regulation was a significant predictor of treatment response (OR = 9.01, 95% CI = 1.77, 46.0, p = .008).”
- Also stated in: § Predictors of treatment outcomes · plain
“right vlPFC-right amygdala connectivity predicted clinically significant treatment response such that greater inverse connectivity was associated with better treatment responding regardless of treatment condition (OR = −9.01, 95% CI = −1.77, −46.0, p = .008; see Figure 2).”
- Also stated in: § Discussion · boosted
“Results demonstrated that stronger inverse connectivity between right amygdala and right vlPFC during implicit emotion regulation was associated with a greater likelihood of subsequent response to psychological treatment for SAD, regardless of treatment condition.”
Quote in the paperSubstantial claim - Also stated in: § Predictors of treatment outcomes · plain
- Findingown data
None of the connectivity by treatment group interactions were significant, with all p values greater than .050.
“In the moderator analyses, none of the connectivity × treatment group interactions were significant (all p > .050).”
Quote in the paperSubstantial claim - Premisecitation
The neurobiological model of emotion regulation holds that amygdala reactivity to emotional stimuli is regulated by top-down connectivity with prefrontal cortex regions.
“The neurobiological model of emotion regulation states that reactivity to emotional stimuli in the amygdala is regulated through top-down connectivity with regions of the prefrontal cortex (PFC; Brühl et al., 2014; Goldin et al., 2009b; Ochsner and Gross, 2005; Zilverstand et al., 2016; Ziv et al., 2013).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Brühl et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Goldin et al., 2009b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Ochsner and Gross, 2005 source
- Premisecitation
Compared with healthy individuals, patients with social anxiety disorder show altered amygdala connectivity with ventrolateral prefrontal cortex, dorsolateral prefrontal cortex, ventromedial prefrontal cortex, and dorsal anterior cingulate/medial prefrontal cortex.
“altered amygdala connectivity with vlPFC (Burklund et al., 2014a), dlPFC (Goldin et al., 2009a), vmPFC (Hahn et al., 2011; Sladky et al., 2015; Young et al., 2017) and dACC/mPFC (Demenescu et al., 2013)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Burklund et al., 2014a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Goldin et al., 2009a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Hahn et al., 2011 source
- Interpretationown data
The study presents the first findings that patterns of connectivity during emotion regulation predict treatment outcome.
“Here we present the first findings, to our knowledge, that demonstrate how patterns of connectivity during emotion regulation predict treatment outcome.”
Quote in the paperSubstantial claim - Interpretationown data
Those better able to effectively engage this circuitry during implicit emotion regulation at baseline are more likely to achieve better outcomes from behavioral treatment.
“Our findings suggest that those better able to effectively engage this circuitry during implicit emotion regulation at baseline are more likely to achieve better outcomes from behavioral treatment.”
Quote in the paperSubstantial claim - Interpretationown data
Only the extent to which emotion regulation neural circuitry is incidentally engaged during low cognitive load is predictive of subsequent treatment response.
“Nonetheless, our results suggest that only the extent to which emotion regulation neural circuitry is incidentally engaged (during low cognitive load) is predictive of subsequent treatment response.”
Quote in the paperSubstantial claim - Interpretationreasoning
The findings suggest a building on strengths model such that individuals with greater capacity to implicitly regulate their emotions may benefit more from psychological treatment.
“Together, this would suggest a ‘building on strengths’ model (Engebretson et al., 1989; Rude and Rehm, 1991), such that individuals with greater capacity to implicitly regulate their emotions may benefit more from psychological treatment.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Greater inferior longitudinal fasciculus density prior to treatment predicted greater symptom reduction following treatment.
“greater inferior longitudinal fasciculus (ILF) density (the white matter tract connecting amygdala with early visual areas) prior to treatment predicted greater symptom reduction following treatment (Whitfield-Gabrieli et al., 2016)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Whitfield-Gabrieli et al., 2016 source
- May combine two claims. 21
- Classified as probably not a substantial claim. 15
May combine two claims.
PremisecitationThe role of amygdala activation in predicting treatment response is unclear, with one study finding decreased pre-treatment amygdala reactivity predicted symptom reduction and another finding increased reactivity.
“The role of amygdala activation in predicting treatment response remains unclear. Symptom reduction was predicted by decreased pre-treatment amygdala reactivity in one study (Klumpp et al., 2014) and increased reactivity in another (Burklund et al., 2017).”
Quote in the paperNot a substantial claim2 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationParticipants completed an affect labeling task as a measure of implicit emotion regulation and an explicit emotion regulation task measuring responses during regulation of social cues.
“Participants completed an affect labeling task (a measure of implicit emotion regulation; Burklund et al., 2014b) and an explicit emotion regulation task (measuring responses during regulation of social cues; Burklund et al., 2017).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Burklund et al., 2014b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Burklund et al., 2017 source
May combine two claims.
PremisecitationIn comparisons of individuals with social anxiety disorder to healthy individuals, deficits in regulatory connectivity were observed only when cognitive load was low, with no group differences in high cognitive load.
“Comparing individuals with SAD to healthy individuals, deficits in regulatory connectivity were observed only when cognitive load was low. There were no group differences observed in the high cognitive load condition, suggesting that regulatory capacity was impacted by attentional demands for all individuals.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Minkova et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe primary limitation of this work was the sample size, although it is consistent with prior studies in this field.
“The primary limitation of this work was the sample size, although it is consistent with prior studies in this field (Doehrmann et al., 2013; Whitfield-Gabrieli et al., 2016).”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
Study design and conductcitationData were collected in the context of a high-quality randomized controlled trial using manualized treatment interventions with high therapist adherence to protocol and validity in assessment methods.
“First, data were collected in the context of a high-quality randomized controlled trial using manualized treatment interventions with a high level of therapist adherence to protocol and validity in assessment methods (Craske et al., 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Craske et al., 2014 source
May combine two claims.
Study design and conductcitationThe study used a treatment completer analysis rather than an intent-to-treat analysis, which has been criticized due to exclusion of data from individuals who did not fully comply or complete treatment.
“In addition, we used a ‘treatment completer’ analysis, rather than an ‘intent-to-treat’ analysis, which has been criticized due to the exclusion of data from individuals who did not fully comply or did not complete treatment (Gupta, 2011).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gupta, 2011 source
May combine two claims.
FindingcitationThe response rate in this study of 47% is typical when a clinically significant change index is used, whereas other studies have reported higher response rates to cognitive behavioral therapy for social anxiety disorder.
“It should be noted that whereas other studies have reported higher response rates to CBT for SAD, the response rate in this study (47%) is typical when a CSCI is used (Loerinc et al., 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Loerinc et al., 2015 source
May combine two claims.
Findingown dataThere were no significant connectivity by treatment group interactions and no significant connectivity main effects on the explicit emotion regulation task, with all p values greater than .05.
“There were no significant connectivity × treatment group interactions in moderator analyses and no significant connectivity main effects in predictor analyses on this task (all p > .05).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAmong non-responders, none moved into the non-clinical diagnostic range on the Anxiety Disorders Interview Schedule, all retained a clinical severity rating of 4 or higher, although 9 participants achieved significant reductions in self-reported symptomatology on the symptom composite.
“Of the non-responders, none of the participants moved into the non-clinical diagnostic range on the ADIS (all retained a CSR ≥ 4), although 9 (3 CBT, 6 ACT) achieved significant reductions in self-reported symptomatology on the symptom composite measure.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe expected moderation effect that connectivity during reappraisal would predict cognitive behavioral therapy response and connectivity during acceptance would predict acceptance and commitment therapy response was not significant.
“It might be expected that connectivity during reappraisal would predict treatment responses to CBT and connectivity during acceptance would predict treatment response to ACT. However, this moderation effect was not significant in the current analyses.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 34 participants, 16 achieved clinically significant change on the clinically significant change index and 18 did not.
“Of the 34 participants included in the analyses, 16 achieved clinically significant change on the CSCI, 18 did not.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataResponse rates were comparable across treatment conditions, with eight participants in each group achieving responder status.
“Response rates were comparable across treatment conditions with eight participants in each group achieving responder status.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExisting work has identified self-report, clinician assessment, or task performance characteristics that predict responses to cognitive behavioral therapy for anxiety disorders.
“Existing work in this domain has begun to identify a set of characteristics, determined by self-report, clinician assessment or task performance, that are predictive of responses to Cognitive Behavioral Therapy (CBT) for anxiety disorders (Schneider et al., 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schneider et al., 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMany patients with social anxiety disorder do not respond to psychological treatment, with as many as 55% failing to respond or retaining residual symptoms or impairment.
“Although psychological treatments for social anxiety disorder (SAD) can be highly effective, many individuals do not respond to treatment.”
- Also stated in: § Introduction · plain
“a large number of patients (as many as 55%; Loerinc et al., 2015) fail to respond to treatment, or retain residual symptoms or impairment following treatment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Loerinc et al., 2015 source
- Also stated in: § Introduction · plain
May combine two claims.
Premisenone givenMost existing studies have assessed pre-treatment neural activation rather than connectivity and focused on emotional reactivity rather than regulation.
“Most existing studies have assessed pre-treatment measures of neural activation rather than connectivity and focused on emotional reactivity, rather than regulation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenNo prior studies have assessed the role of emotion regulation in predicting treatment response.
“No prior studies have assessed the role of emotion regulation in predicting treatment response.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationGreater symptom reduction following cognitive behavioral therapy for social anxiety disorder was associated with stronger pre-treatment amygdala-anterior cingulate connectivity, stronger amygdala connectivity with caudate and putamen, and reduced amygdala connectivity with central sulcus and right temporo-occipital cluster.
“greater symptom reduction following CBT for SAD was associated with stronger pre-treatment amygdala-ACC connectivity, stronger amygdala connectivity with caudate and putamen, and reduced amygdala connectivity with central sulcus and right temporo-occipital cluster.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Whitfield-Gabrieli et al., 2016 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningDifferences in cognitive load between the affect labeling and explicit regulation tasks may have impacted engagement of regulatory circuitry.
“Alternatively, it is plausible that differences in cognitive load between the affect labeling and explicit regulation tasks impacted engagement of regulatory circuitry.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFindings support a role for activation and connectivity in emotional processing neural circuitry in predicting treatment response, with directions and locations varying across task design.
“In general, these findings support a role for activation and connectivity among neural circuitry involved in emotional processing in predicting treatment response, albeit with specific directions and locations of effects varying across task design.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe study used leave-one-out k-fold cross-validation to estimate the regression model's predictive utility for unseen data.
“To estimate the predictive value of the regression model for unseen data, we used leave-one-out k-fold cross validation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationDiagnostic evaluations were conducted using the Anxiety Disorders Interview Schedule-IV by trained interviewers.
“Diagnostic evaluations were conducted using the Anxiety Disorders Interview Schedule-IV (ADIS IV; Brown et al., 1994) by trained interviewers.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Brown et al., 1994
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.
PremisecitationBoth cognitive behavioral therapy and acceptance and commitment therapy focus on improving emotion regulation, though through different approaches.
“Both CBT and ACT focus on improving emotion regulation, albeit through different approaches.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Craske, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Hayes et al., 1999
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).
PremisecitationCognitive behavioral therapy teaches reappraisal, the intentional re-framing of negative or unpleasant thoughts or experiences.
“CBT teaches ‘reappraisal’, the intentional re-framing of negative or unpleasant thoughts or experiences (Craske, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Craske, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe affect labeling and explicit regulation tasks differ in intentionality: reappraisal or acceptance intentionally reduces emotional reactivity, while affect labeling involves recognizing an emotional cue, a more incidental form of regulation.
“The goal of reappraisal or acceptance (explicit task) is to intentionally reduce emotional reactivity, while affect labeling simply involves recognizing an emotional cue, a more incidental form of regulation (Burklund et al., 2014b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Burklund et al., 2014b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductcitationThe use of the clinically significant change index as a measure of treatment responder status provides a reliable and conservative index, ensuring a clinically meaningful definition.
“Second, the use of the CSCI as a measure of treatment responder status provides a reliable and conservative index, ensuring a clinically meaningful definition of this term.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Loerinc et al., 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe additional cognitive load of the explicit regulation task may reduce regulatory capacity among all individuals, masking individual differences in the tendency to engage regulatory circuitry.
“Therefore, the additional cognitive load of the explicit regulation task may reduce regulatory capacity among all individuals, masking individual differences in the tendency to engage regulatory circuitry.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe study's small sample size limited statistical power to detect significant moderation effects, and the results should be interpreted as preliminary.
“The primary limitation of this work was the small sample size which limited the power to detect significant moderation effects, and results should be interpreted as preliminary.”
- Also stated in: § Limitations · plain
“We had limited power to detect significant moderators of treatment response, such as baseline capacity to engage emotion regulation neural circuitry during instructed reappraisal predicting better outcomes to CBT over ACT.”
- Also stated in: § Discussion · hedged
“However, it should be noted that the current sample size may be too small to sufficiently assess treatment-moderator effects and that with a larger sample, neural moderators of treatment response may be observed.”
Quote in the paperSubstantial claim- Also stated in: § Limitations · plain
Classified as probably not a substantial claim.
PremisecitationA more robust measure of treatment response can be obtained using the clinically significant change index.
“A more robust measure of treatment response can be obtained through use of a ‘clinically significant change index’ (CSCI) (Loerinc et al., 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Loerinc et al., 2015 source
Classified as probably not a substantial claim. May combine two claims.
Premisenone givenPrevious studies have primarily correlated responses with self-reported symptoms following treatment or categorized treatment responders as those showing greatest symptom reduction.
“previous studies have primarily correlated responses with self-reported symptoms following treatment, or categorized ‘treatment-responders’ as those showing greatest symptom reduction.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningConnectivity during affect labeling reflects a generalized tendency to engage regulatory circuitry when faced with emotional stimuli, whereas connectivity during explicit regulation reflects intentional engagement of this circuitry.
“We suggest that connectivity during affect labeling reflects a generalized tendency to engage regulatory circuitry when faced with emotional stimuli, whereas connectivity during explicit regulation reflects intentional engagement of this circuitry.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAcceptance and commitment therapy promotes acceptance, the acknowledgement that emotional experiences are fleeting and can be viewed with perspective.
“ACT promotes ‘acceptance’, the acknowledgement that emotional experiences are fleeting and can be viewed with a sense of perspective (Hayes et al., 1999).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hayes et al., 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
fMRI studies of pretreatment brain predictors have reported that lesser rostral anterior cingulate cortex and lesser left DLPFC activity during reappraisal of negative images, inverse connectivity between amygdala and right VLPFC during affect labeling, greater occipitotemporal activation to angry vs neutral faces, and dorsal ACC activation during self-referential criticism are associated with响应
“fMRI studies of pretreatment brain predictors have reported that lesser rostral anterior cingulate cortex and lesser left DLPFC activity during reappraisal of negative images, 42,43 inverse connectivity between amygdala and right VLPFC during affect labeling, 44 greater occipitotemporal activation to angry vs neutral faces, 45 and dorsal ACC activation 46 during self-referential criticism are”
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.
Predictor direction described inconsistently as positive vs inverse connectivity
MinorOne place describes stronger inverse connectivity as predicting response with OR = 9.01, while another states the same connectivity effect as OR = −9.01. This is an internal inconsistency in the reported effect direction and value.
“Stronger inverse connectivity was associated with greater likelihood of treatment response.”
“right vlPFC-right amygdala connectivity predicted clinically significant treatment response such that greater inverse connectivity was associated with better treatment responding regardless of treatment condition (OR = −9.01, 95% CI = −1.77, −46.0, p = .008; see Figure 2).”
Sign of the odds ratio reverses between Abstract and Results
MinorThe Abstract reports a positive odds ratio, but the Results section gives the same effect as a negative odds ratio with negative confidence limits. Odds ratios cannot be negative, so these statements cannot both be correct as written.
“Right amygdala-right ventrolateral prefrontal cortex connectivity during implicit emotion regulation was a significant predictor of treatment response (OR = 9.01, 95% CI = 1.77, 46.0, p = .008).”
“right vlPFC-right amygdala connectivity predicted clinically significant treatment response such that greater inverse connectivity was associated with better treatment responding regardless of treatment condition (OR = −9.01, 95% CI = −1.77, −46.0, p = .008; see Figure 2).”
The reported odds ratio and confidence interval change sign
MinorThe abstract reports a positive odds ratio and confidence interval, while the Results section reports negative values for the same predictor. An odds ratio and its confidence limits cannot be negative, so the Results values are also invalid as written.
“(OR = −9.01, 95% CI = −1.77, −46.0, p = .008; see Figure 2)”
“(OR = 9.01, 95% CI = 1.77, 46.0, p = .008)”
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“The neurobiological model of emotion regulation states that reactivity to emotional stimuli in the amygdala is regulated through top-down connectivity with regions of the prefrontal cortex (PFC; Brühl et al., 2014; Goldin et al., 2009b; Ochsner and Gross, 2005; Zilverstand et al., 2016; Ziv et al., 2013).”
Large-scale automated synthesis of human functional neuroimaging data.
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Intention-to-treat concept: A review
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“In addition, we used a ‘treatment completer’ analysis, rather than an ‘intent-to-treat’ analysis, which has been criticized due to the exclusion of data from individuals who did not fully comply or did not complete treatment (Gupta, 2011).”
Ochsner, 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 · cited 1× · see citing works
“Inverse prefrontal-amygdala connectivity has been highlighted as an index of emotion regulatory capacity whereby activation of prefrontal regions is thought to facilitate ‘down-regulation’ of amygdala responses (Ochsner et al., 2012).”
Acceptance and commitment therapy.
Hayes, S. C., & Lillis, J. (2012) · American Psychological Association eBooks · doi:10.1037/17335-000 · Cited by 1,543 · see citing works
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“Non-responders were defined as those who did not achieve a reliable reduction in symptom level and/or did not move below the threshold for clinically-significant CSR. fMRI connectivity analyses Psychophysiological interaction (PPI) analyses were conducted to assess task-related changes in functional connectivity of le…”
FRESCO, D. M., COLES, M. E., HEIMBERG, R. G., LIEBOWITZ, M. R., HAMI, S., STEIN, M. B., & GOETZ, D. (2001) · Psychological Medicine · doi:10.1017/s0033291701004056 · Cited by 874 · see citing works
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“show: (i) disrupted activation in the amygdala and regions of the prefrontal cortex (for reviews, see Berkman and Lieberman, 2009; FreitasFerrari et al., 2010; Kim et al., 2011) and (ii) altered amygdala connectivity with vlPFC (Burklund et al.”
Acceptance and Commitment Therapy
Strosahl, K. D. (2002) · Elsevier eBooks · doi:10.1016/b0-12-343010-0/00001-5 · Cited by 647 · see citing works
Response rates for CBT for anxiety disorders: need for standardized criteria
Loerinc, A. G., Meuret, A. E., Twohig, M. P., Rosenfield, D., Bluett, E. J., & Craske, M. G. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.08.004 · Cited by 592 · cited 7× · see citing works
“Clinically significant change index CSCI (Loerinc et al., 2015) was calculated based on a combination of reliable change index on the SAD symptom composite (described above) and a clinical cut-off on the ADIS-IV.”
InfluentialSelf-citationGoldin, P. R., Manber, T., Hakimi, S., Canli, T., & Gross, J. J. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.525 · Cited by 486 · see citing works
Brühl, A. B., Delsignore, A., Komossa, K., & Weidt, S. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.08.003 · Cited by 439 · cited 1× · see citing works
“The neurobiological model of emotion regulation states that reactivity to emotional stimuli in the amygdala is regulated through top-down connectivity with regions of the prefrontal cortex (PFC; Brühl et al., 2014; Goldin et al., 2009b; Ochsner and Gross, 2005; Zilverstand et al., 2016; Ziv et al., 2013).”
Kuo, M.-F., Paulus, W., & Nitsche, M. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.117 · Cited by 415 · cited 1× · see citing works
“Other methods of enhancing functional connectivity within this neural circuitry might also be investigated (e.g., transcranial direct current stimulation; Kuo et al., 2014) which may be particularly ef-”
Hahn, A., Stein, P., Windischberger, C., Weissenbacher, A., Spindelegger, C., Moser, E., Kasper, S., & Lanzenberger, R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.064 · Cited by 385 · cited 1× · see citing works
“, 2009a), vmPFC (Hahn et al., 2011; Sladky et al., 2015; Young et al., 2017) and dACC/mPFC (Demenescu et al.”
Zilverstand, A., Parvaz, M. A., & Goldstein, R. Z. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.009 · Cited by 360 · cited 2× · see citing works
“…model of emotion regulation states that reactivity to emotional stimuli in the amygdala is regulated through top-down connectivity with regions of the prefrontal cortex (PFC; Brühl et al., 2014; Goldin et al., 2009b; Ochsner and Gross, 2005; Zilverstand et al., 2016; Ziv et al., 2013).”
Neural mechanisms of cognitive reappraisal of negative self-beliefs in social anxiety disorder.
Goldin, P. R., Manber-Ball, T., Werner, K., Heimberg, R., & Gross, J. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.07.014 · Cited by 305 · see citing works
Neuroimaging in social anxiety disorder: a systematic review of the literature
Freitas-Ferrari, M. C., Hallak, J. E. C., Trzesniak, C., Filho, A. S., Machado-de-Sousa, J. P., Chagas, M. H. N., Nardi, A. E., & Crippa, J. A. S. (2010) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2010.02.028 · Cited by 298 · cited 1× · see citing works
“…Social Anxiety Scale–Self-Report Version, a 24-item measure assessing fear and avoidance of social interactions and performance situations (LSAS-SR; Fresco et al., 2001); the Social Interaction Anxiety Scale, a 20-item measure of cognitive, affective and behavioral reactions to social interaction…”
Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging.
Doehrmann, O., Ghosh, S. S., Polli, F. E., Reynolds, G. O., Horn, F., Keshavan, A., Triantafyllou, C., Saygin, Z. M., Whitfield-Gabrieli, S., Hofmann, S. G., et al. (2013) · JAMA Psychiatry · doi:10.1001/2013.jamapsychiatry.5 · Cited by 262 · cited 1× · see citing works
“Together, this would suggest a ‘building on strengths’ model (Engebretson et al., 1989; Rude and Rehm, 1991), such that individuals with greater capacity to implicitly regulate their emotions may benefit more from psychological treatment.”
Psychological treatments: A call for mental-health science
Holmes, E. A., Craske, M. G., & Graybiel, A. M. (2014) · Nature · doi:10.1038/511287a · Cited by 214 · cited 1× · see citing works
“Here, we extend this approach to identify neural indices that predict treatment response, an approach which can help to enhance our understanding of the effects of psychological treatment on the brain (Craske, 2014; Holmes et al., 2014).”
MethodSelf-citationBrain connectomics predict response to treatment in social anxiety disorder
Whitfield-Gabrieli, S., Ghosh, S. S., Nieto-Castanon, A., Saygin, Z., Doehrmann, O., Chai, X. J., Reynolds, G. O., Hofmann, S. G., Pollack, M. H., & Gabrieli, J. D. E. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.109 · Cited by 210 · see citing works
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“Here, we extend this approach to identify neural indices that predict treatment response, an approach which can help to enhance our understanding of the effects of psychological treatment on the brain (Craske, 2014; Holmes et al., 2014).”
InfluentialSelf-citationEngebretson, T. O., Matthews, K. A., & Scheier, M. F. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.3.513 · Cited by 179 · cited 1× · see citing works
“Together, this would suggest a ‘building on strengths’ model (Engebretson et al., 1989; Rude and Rehm, 1991), such that individuals with greater capacity to implicitly regulate their emotions may benefit more from psychological treatment.”
Goldin, P. R., Ziv, M., Jazaieri, H., Hahn, K., Heimberg, R., & Gross, J. J. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.234 · Cited by 174 · see citing works
Engebretson, T. O., Matthews, K. A., & Scheier, M. F. (1989) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.57.3.513 · Cited by 170 · see citing works
Månsson, K. N. T., Frick, A., Boraxbekk, C.-J., Marquand, A. F., Williams, S. C. R., Carlbring, P., Andersson, G., & Furmark, T. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.22 · Cited by 154 · cited 2× · see citing works
“Studies of emotional reactivity have highlighted the predictive value of activation in ACC, mPFC and occipital regions as well as connectivity between amygdala and ACC, caudate, putamen, central sulcus, and temporo-occipital regions (Burklund et al., 2017; Doehrmann et al., 2013; Klumpp et al., 2014; Klumpp et al., 20…”
InfluentialUsing Neuroscience To Broaden Emotion Regulation: theoretical and methodological considerations
Berkman, E. T., & Lieberman, M. D. (2009) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2009.00186.x · Cited by 142 · cited 1× · see citing works
“…to healthy individuals, patients with SAD show: i) disrupted activation in the amygdala and regions of the prefrontal cortex (for reviews, see Berkman and Lieberman, 2009; Freitas-Ferrari et al., 2010; Kim et al., 2011) and ii) altered amygdala connectivity with vlPFC (Burklund et al.,…”
Self-citationSchneider, R. L., Arch, J. J., & Wolitzky-Taylor, K. B. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.02.004 · Cited by 135 · cited 1× · see citing works
“Existing work in this domain has begun to identify a set of characteristics, determined by self-report, clinician assessment or task performance, that are predictive of responses to Cognitive Behavioral Therapy (CBT) for anxiety disorders (Schneider et al., 2015).”
Klumpp, H., Fitzgerald, D. A., & Phan, K. L. (2013) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2013.05.004 · Cited by 126 · cited 1× · see citing works
“Studies of emotional reactivity have highlighted the predictive value of activation in ACC, mPFC and occipital regions as well as connectivity between amygdala and ACC, caudate, putamen, central sulcus, and temporo-occipital regions (Burklund et al., 2017; Doehrmann et al., 2013; Klumpp et al., 2014; Klumpp et al., 20…”
The common and distinct neural bases of affect labeling and reappraisal in healthy adults
Burklund, L. J., Creswell, J. D., Irwin, M. R., & Lieberman, M. D. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00221 · Cited by 118 · see citing works
Self-citation(2012) · SpringerReference · doi:10.1007/springerreference_223480 · Cited by 116 · see citing works
Rude, S. S., & Rehm, L. P. (1991) · Clinical Psychology Review · doi:10.1016/0272-7358(91)90001-b · Cited by 94 · cited 1× · see citing works
“Together, this would suggest a ‘building on strengths’ model (Engebretson et al., 1989; Rude and Rehm, 1991), such that individuals with greater capacity to implicitly regulate their emotions may benefit more from psychological treatment.”
Månsson, K. N. T., Carlbring, P., Frick, A., Engman, J., Olsson, C.-J., Bodlund, O., Furmark, T., & Andersson, G. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.08.012 · Cited by 92 · see citing works
Demenescu, L. R., Kortekaas, R., Cremers, H. R., Renken, R. J., van Tol, M. J., van der Wee, N. J. A., Veltman, D. J., den Boer, J. A., Roelofs, K., & Aleman, A. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.03.020 · Cited by 79 · cited 3× · see citing works
“The primary limitation of this work was the sample size, although it is consistent with prior studies in this field (Doehrmann et al., 2013; Whitfield-Gabrieli et al., 2016).”
Goldin, P. R., Ziv, M., Jazaieri, H., Weeks, J., Heimberg, R. G., & Gross, J. J. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.08.005 · Cited by 77 · cited 1× · see citing works
“Emerging evidence implicates this circuitry in mechanisms of treatment response, with studies demonstrating altered connectivity following CBT between amygdala and dmPFC, mOFC and vl/dlPFC (Goldin et al., 2013; Goldin et al., 2014; Månsson et al., 2013).”
InfluentialKlumpp, H., Fitzgerald, D. A., Angstadt, M., Post, D., & Phan, K. L. (2014) · Psychological Medicine · doi:10.1017/s0033291714000567 · Cited by 75 · cited 6× · see citing works
“…pre-treatment neural responses to emotional stimuli (emotional faces or rejecting statements) within the anterior cingulate cortex (ACC), dm/vmPFC and areas of occipital and parietal lobe (dACC and dmPFC; Burklund et al., 2017; Doehrmann et al., 2013; Klumpp et al., 2014; Klumpp et al., 2013).”
InfluentialZiv, M., Goldin, P. R., Jazaieri, H., Hahn, K. S., & Gross, J. J. (2013) · Biology of Mood & Anxiety Disorders · doi:10.1186/2045-5380-3-20 · Cited by 74 · cited 1× · see citing works
“The neurobiological model of emotion regulation states that reactivity to emotional stimuli in the amygdala is regulated through top-down connectivity with regions of the prefrontal cortex (PFC; Brühl et al., 2014; Goldin et al., 2009b; Ochsner and Gross, 2005; Zilverstand et al., 2016; Ziv et al., 2013).”
Young, K. S., Burklund, L. J., Torre, J. B., Saxbe, D., Lieberman, M. D., & Craske, M. G. (2017) · Psychiatry Research - Neuroimaging · doi:10.1016/j.pscychresns.2017.01.005 · Cited by 64 · cited 5× · see citing works
“, 2009a), vmPFC (Hahn et al., 2011; Sladky et al., 2015; Young et al., 2017) and dACC/mPFC (Demenescu et al.”
InfluentialSelf-citationAltered emotion regulation capacity in social phobia as a function of comorbidity
Burklund, L. J., Craske, M. G., Taylor, S. E., & Lieberman, M. D. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu058 · Cited by 46 · cited 8× · see citing works
“, 2014b) and an explicit emotion regulation task (measuring responses during regulation of social cues; Burklund et al., 2017).”
InfluentialSelf-citationSladky, R., Spies, M., Hoffmann, A., Kranz, G. S., Hummer, A., Gryglewski, G., Lanzenberger, R. R., Windischberger, C., & Kasper, S. F. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.044 · Cited by 43 · cited 2× · see citing works
“…see Berkman and Lieberman, 2009; Freitas-Ferrari et al., 2010; Kim et al., 2011) and ii) altered amygdala connectivity with vlPFC (Burklund et al., 2014a), dlPFC (Goldin et al., 2009a), vmPFC (Hahn et al., 2011; Sladky et al., 2015; Young et al., 2017) and dACC/mPFC (Demenescu et al., 2013).”
Burklund, L. J., Torre, J. B., Lieberman, M. D., Taylor, S. E., & Craske, M. G. (2017) · Psychiatry Research - Neuroimaging · doi:10.1016/j.pscychresns.2016.12.012 · Cited by 38 · cited 4× · see citing works
“Studies of emotional reactivity have highlighted the predictive value of activation in ACC, mPFC and occipital regions as well as connectivity between amygdala and ACC, caudate, putamen, central sulcus, and temporo-occipital regions (Burklund et al., 2017; Doehrmann et al., 2013; Klumpp et al., 2014; Klumpp et al., 20…”
InfluentialSelf-citationTask-dependent modulation of amygdala connectivity in social anxiety disorder
Minkova, L., Sladky, R., Kranz, G. S., Woletz, M., Geissberger, N., Kraus, C., Lanzenberger, R., & Windischberger, C. (2017) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2016.12.016 · Cited by 26 · cited 1× · see citing works
“A recent study demonstrated that regulatory neural connectivity (orbitofrontal cortex to amygdala functional connectivity) was modulated by the level of cognitive load (using a Stroop task; Minkova et al., 2017).”
Venning, A., Kettler, L. J., Eliott, J., & Wilson, A. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1695-2_324 · Cited by 19 · see citing works
The Cognitive Neuroscience of Psychological Treatment Action in Depression and Anxiety
Young, K. S., & Craske, M. G. (2018) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-018-0137-x · Cited by 13 · cited 1× · see citing works
“…model of emotion regulation states that reactivity to emotional stimuli in the amygdala is regulated through top-down connectivity with regions of the prefrontal cortex (PFC; Brühl et al., 2014; Goldin et al., 2009b; Ochsner and Gross, 2005; Zilverstand et al., 2016; Ziv et al., 2013).”
Self-citationIntroduction to special issue: How does neuroscience inform psychological treatment?
Craske, M. G. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.08.014 · Cited by 11 · cited 1× · see citing works
“Here, we extend this approach to identify neural indices that predict treatment response, an approach which can help to enhance our understanding of the effects of psychological treatment on the brain (Craske, 2014; Holmes et al., 2014).”
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An affective neuroscience model of boosting resilience in adults
Tabibnia, G. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.05.005 · Cited by 109 · see citing works
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“, AN-CCN) were more likely to respond to CBT (Young et al., 2019).”
BackgroundGoldin, P. R., Thurston, M., Allende, S., Moodie, C., Dixon, M. L., Heimberg, R. G., & Gross, J. J. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.1862 · Cited by 69 · see citing works
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“Thus, adding to the literature (Young et al., 2019), the current findings specified self-initiated action as the psychological origin of PI activation in social anxiety and may provide a neural marker to facilitate individualized treatment.”
BackgroundSandman, C. F., Young, K. S., Burklund, L. J., Saxbe, D. E., Lieberman, M. D., & Craske, M. G. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103612 · Cited by 22 · see citing works
“Compared to healthy individuals, individuals with SAD demonstrate aberrant activity in and connectivity between the amygdala and prefrontal regions (Freitas-Ferrari et al., 2010).”
BackgroundInfluentialSelf-citationde Paula, A. L. D., Lourenç�ão, M., Giraldi, J. D. M. E., & de Oliveira, J. H. C. (2022) · European Journal of Marketing · doi:10.1108/ejm-06-2021-0448 · Cited by 21 · see citing works
Erfassung der Lebendigkeit mentaler Vorstellungsbilder
Jungmann, S. M., Becker, F., & Witthöft, M. (2022) · Diagnostica · doi:10.1026/0012-1924/a000291 · Cited by 19 · see citing works
Affect labeling: The role of timing and intensity
Levy‐Gigi, E., & Shamay‐Tsoory, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0279303 · Cited by 25 · see citing works
“The results of the present study may have important clinical implications, especially considering the growing use of affect labeling as a complementary intervention method to reduce anxiety [3, 18, 19, 36, 51, 52].”
BackgroundImaging the socially-anxious brain: recent advances and future prospects
Bas-Hoogendam, J., & Westenberg, P. (2020) · F1000Research · doi:10.12688/f1000research.21214.1 · Cited by 21 · see citing works
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Self-citationNeurocircuitry of treatment in anxiety disorders
Baumel, W. T., Lu, L., Huang, X., Drysdale, A. T., Sweeny, J. A., Gong, Q., Sylvester, C. M., & Strawn, J. R. (2022) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2022.100052 · Cited by 17 · see citing works
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Ashar, Y. K., Clark, J., Gunning, F. M., Goldin, P. R., Gross, J. J., & Wager, T. D. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01366-y · Cited by 11 · see citing works
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“Some studies [44,49,51,54] presented their data in different ways, which raised concerns about transparency or completeness, and others used analytical methods that might introduce bias.”
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“This fi nding is of high relevance because it sheds light on a potentially critical pathological mechanism in a subgroup of patients with OCD showing diminished response to CBT treatment.”
Qiu, N., Li, S.-Q., Wu, J., Becker, B., Peng, W., Li, K., Zhao, G.-C., Hu, L., Yan, H.-M., & Yao, D. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121638 · Cited by 3 · see citing works
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Acceptance and commitment therapy
Bowins, B. E. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85049-0.00011-8 · Cited by 5 · see citing works
A Study of High and Low Behavior Inhibitory Control on Emotional Labeling Effect from ERPs
Hu, Y., & Yue, P. (2022) · Psychology · doi:10.4236/psych.2022.134039
“, 2007) to measure emotion recognition description ability, emotion regulation self-efficacy, mindfulness traits level, social anxiety traits and social phobia traits that may affect the subjects’ emotional labeling effects, thus controlling for additional variables that may affect the emotional labeling effect (Cresw…”
BackgroundEvidence-Based Treatments for Anxiety Disorders
Azab, M. (2022) · Springer eBooks · doi:10.1007/978-3-031-19362-0_5
Brain Plasticity and Prediction of Response to Psychotherapy
Zacharek, S. J., Gabrieli, J. D. E., & Hofmann, S. G. (2024) · doi:10.1093/oso/9780198888727.003.0005
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“Some studies assessed affect labelling in relation to distraction (Lieberman et al., 2011 ), coping statements (Plaisted et al., 2022 acceptance-based treatments (Young et al., 2019), suggesting that neural responses during labelling may serve as a prognostic marker for therapy outcomes.”
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“[25] Multivariable logistic regression pointed to male sex and the use of combined therapy as key predictors of a positive response.”
Uy, J. P., Yuan, J. P., Joachimsthaler, J., & Gotlib, I. H. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.04.021
- Authors
- Young, K. S., LeBeau, R. T., Niles, A. N., Hsu, K. J., Burklund, L. J., Mesri, B., Saxbe, D., Lieberman, M. D., & Craske, M. G.
- Affiliations
- University of California, Los Angeles (US)
- University of California, San Francisco (US)
- The University of Texas at Austin (US)
- University of Southern California (US)
- Corresponding author
- Craske, Michelle G.
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 242
- Pages
- 105-110
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC6816743
- OpenAlex
- W2885160633
- Cited by
- 30
- References
- 49
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 3 · 2022: 7 · 2021: 5 · 2020: 6 · 2019: 1
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Mental Health (1 R21 MH081299)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
- Keywords
- social anxiety disorder, treatment response prediction, neuronal connectivity, amygdala, ventrolateral prefrontal cortex, affect labeling, emotion regulation, cognitive behavioral therapy, acceptance and commitment therapy, implicit emotion regulation
- MeSH terms
- Phobia, Social, Adult, Amygdala, Emotions, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Cognitive Behavioral Therapy, Prefrontal Cortex, Young Adult
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 under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
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 ›
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