Cingulate-Precuneus Interactions: A New Locus of Dysfunction in Adult Attention-Deficit/Hyperactivity Disorder
Open accessAbstract
Background Pathophysiologic models of attention-deficit/hyperactivity disorder (ADHD) have focused on frontal-striatal circuitry with alternative hypotheses relatively unexplored. On the basis of evidence that negative interactions between frontal foci involved in cognitive control and the non-goal-directed "default-mode" network prevent attentional lapses, we hypothesized abnormalities in functional connectivity of these circuits in ADHD.Methods Resting-state blood oxygen level-dependent functional magnetic resonance imaging (fMRI) scans were obtained at 3.0-Tesla in 20 adults with ADHD and 20 age- and sex-matched healthy volunteers.Results Examination of healthy control subjects verified presence of an antiphasic or negative relationship between activity in dorsal anterior cingulate cortex (centered at x = 8, y = 7, z = 38) and in default-mode network components. Group analyses revealed ADHD-related compromises in this relationship, with decreases in the functional connectivity between the anterior cingulate and precuneus/posterior cingulate cortex regions (p < .0004, corrected). Secondary analyses revealed an extensive pattern of ADHD-related decreases in connectivity between precuneus and other default-mode network components, including ventromedial prefrontal cortex (p < 3 x 10(-11), corrected) and portions of posterior cingulate (p < .02, corrected).Conclusions Together with prior unbiased anatomic evidence of posterior volumetric abnormalities, our findings suggest that the long-range connections linking dorsal anterior cingulate to posterior cingulate and precuneus should be considered as a candidate locus of dysfunction in ADHD.
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Written from the paper’s full text.
TL;DR
Resting-state functional connectivity in adults with ADHD showed reduced negative coupling between dorsal anterior cingulate cortex and posterior default-mode regions, especially precuneus/posterior cingulate cortex. The authors propose cingulate–precuneus long-range connections as a candidate locus of dysfunction in ADHD.
Key findings
- Healthy controls showed an antiphasic/negative relationship between dorsal anterior cingulate cortex (dACC; centered at x=8, y=7, z=38) and default-mode network components.
- ADHD participants had significantly less negative dACC–precuneus/PCC connectivity (p<.0004, corrected; cluster = 13,436 mm³).
- Secondary analyses found ADHD-related decreases between precuneus and other default-mode components, including ventromedial prefrontal cortex (p<3×10⁻¹¹, corrected) and portions of posterior cingulate (p<.02, corrected).
- Regression parameter estimates for the negative dACC–PCC/precuneus relationship were −0.23 ± 0.12 in healthy controls and −0.01 ± 0.15 in ADHD (t(38)=5.10, p=9.6×10⁻⁶; d=1.61, 95% CI 0.79–2.43), and across the whole sample correlated with ADHD symptoms (Pearson r between −0.61 and −0.54, n=38, p<.001).
Methods
- Resting-state BOLD fMRI at 3.0 Tesla in 20 adults with ADHD and 20 age- and sex-matched healthy volunteers; 9 ADHD patients were currently treated with stimulants, discontinued for at least one day before scanning.
- Seed-based functional connectivity analyses used three frontal ROIs (dACC, right inferior frontal gyrus, right medial frontal gyrus), GLM in FEAT, nuisance covariates, and mixed-effects group analyses in FSL/FLAME with cluster-level correction.
- A study-specific template was created for spatial normalization; secondary analyses used the precuneus/PCC region as a seed, and exploratory correlations examined symptom severity.
Limitations
- The paper states that no significant relationship was detected between connectivity estimates and inattention severity within the ADHD group, possibly because symptom ranges were restricted and inattentive/hyperactive symptoms were highly correlated (r=0.68).
- The authors note that undiagnosed learning disorders in ADHD participants may have contributed, though high educational attainment diminishes this concern; they also note divergence from a prior adolescent ADHD connectivity report and suggest differences in seed ROI, anti-correlations, and age group as possible explanations.
- Evident from the text: the sample was small (20 per group), cross-sectional, and did not directly assess attentional lapses, working memory, response variability, medication response, or effective connectivity.
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Claims the paper makes
0 of 32 cited sources checked · 0 supported · 0 flagged
- Findingown data§ Results
In adults with ADHD compared with healthy controls, there are decreases in functional connectivity between the anterior cingulate and precuneus/posterior cingulate cortex regions (p<.0004, corrected).
“Group analyses revealed ADHD-related compromises in this relationship, with decreases in the functional connectivity between the anterior cingulate and precuneus/posterior cingulate cortex regions (p<.0004, corrected).”
Quote in the paperSubstantial claim - Findingown data§ Results
In adults with ADHD compared with healthy controls, there are decreases in connectivity between precuneus and portions of posterior cingulate (p<.02, corrected).
“Secondary analyses revealed an extensive pattern of ADHD-related decreases in connectivity between precuneus and other default-mode network components, including ventromedial prefrontal cortex (p<3×10−11, corrected) and portions of posterior cingulate (p<.02, corrected).”
Quote in the paperSubstantial claim - Findingown data§ Results
In healthy controls, there is an antiphasic or negative relationship between activity in dorsal anterior cingulate cortex (centered at x=8, y=7, z=38) and default-mode network components.
“Examination of healthy controls verified presence of an antiphasic or negative relationship between activity in dorsal anterior cingulate cortex (centered at x=8, y=7, z=38) and in default-mode network components.”
Quote in the paperSubstantial claim - Findingown data§ Results
In adults with ADHD compared with healthy controls, there are decreases in connectivity between precuneus and ventromedial prefrontal cortex (p<3×10−11, corrected).
“Secondary analyses revealed an extensive pattern of ADHD-related decreases in connectivity between precuneus and other default-mode network components, including ventromedial prefrontal cortex (p<3×10−11, corrected) and portions of posterior cingulate (p<.02, corrected).”
Quote in the paperSubstantial claim - Findingown data§ RESULTS
Regression parameter estimates for the negatively correlated relationship between dACC ROI and PCC/precuneus differed between groups: means ±SD −0.23 ± 0.12 for healthy controls and −0.01 ± 0.15 for ADHD; t(38)=5.10, p=9.6×10−6; d=1.61, 95% CI 0.79-2.43.
“Figure 4 shows the distribution of regression parameter estimates for the negatively correlated relationship between dACC ROI and PCC/precuneus in the two groups (means ±SD −0.23 ± 0.12 and −0.01 ± 0.15 for healthy control and ADHD groups, respectively; t(38) = 5.10, p=9.6 × 10−6; d= 1.61, 95% CI 0.79 – 2.43).”
Quote in the paperSubstantial claim
- Findingreasoning§ RESULTS
No significant relationships were detected between parameter estimates and severity of inattentive symptoms in the ADHD group or the control group.
“However, despite our prediction, we did not detect significant relationships between the parameter estimates and severity of inattentive symptoms in the ADHD group (or the control group), presumably reflecting the highly restricted ranges of symptom counts within each group.”
- Also stated in: § DISCUSSION · hedged
“We did not find a specific relationship between functional connectivity measures and inattention symptoms within the ADHD group, perhaps because inattentive and hyperactive symptoms, both of which were significantly negatively correlated with the regression parameter estimates, were highly correlated in our combined-type ADHD sample (r=0.68).”
Quote in the paperNot a substantial claim - Also stated in: § DISCUSSION · hedged
- Findingown data§ RESULTS
ADHD is associated with decreased functional connectivity between precuneus/PCC and medial prefrontal cortex/ventromedial prefrontal cortex.
“As the right panel of Figure 3 shows, the groups differed significantly in medial prefrontal cortex and superior frontal gyrus (p<3×10−11, corrected) and also in PCC/precuneus (p<.02, corrected; see Table 3).”
- Also stated in: § DISCUSSION · plain
“Iteratively using the precuneus/PCC region as a ‘seed’ for an additional regression analysis revealed ADHD-related decreases in connectivity among components of the default-mode network, notably between precuneus/PCC and ventromedial prefrontal cortex.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · plain
- Findingown data§ RESULTS
Functional connectivity analyses of the dACC ROI demonstrated significantly less negatively correlated activity in precuneus/PCC in subjects with ADHD compared to controls (p<.0004, corrected; 3989 cubic voxels 1.5mm per side =13,436mm3).
“By contrast, functional connectivity analyses of the dACC ROI demonstrated significantly less negatively correlated activity (p<.0004, corrected; 3989 cubic voxels 1.5mm per side =13,436mm3) in precuneus/PCC in subjects with ADHD (see Figure 2 and Table 2).”
- Also stated in: § DISCUSSION · plain
“Consistent with our hypothesis that ADHD is associated with abnormalities in fronto-default-mode interactions implicated in preventing attentional lapses, we found ADHD-related decreases in functional connectivity between a dorsal ACC seed and posterior components of the default-mode network (i.e., precuneus and PCC).”
- Also stated in: § DISCUSSION · boosted
“In summary, we found strong evidence of disconnection between an anterior cingulate control region implicated in ADHD (32, 37) and posterior components of the default-mode network, i.e., precuneus and PCC.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · plain
- Findingown data§ RESULTS
Regression parameter estimates were significantly negatively correlated with ADHD symptoms across the entire sample (Pearson r between −0.61 and −0.54, n=38, p<.001) for childhood or adulthood symptoms of hyperactivity/impulsivity or inattention.
“The regression parameter estimates were significantly negatively correlated with ADHD symptoms across the entire sample (Pearson correlation coefficients ranged between −0.61 and −0.54 (n=38, p<.001) for the childhood or adulthood symptoms of hyperactivity/impulsivity or inattention.”
Quote in the paperSubstantial claim - Findingown data§ Supplementary Material
ACC was the only seed region to show significant group differences with decreased negative connectivity in ADHD compared to controls.
“ACC was the only seed region to show significant group differences with decreased negative connectivity in ADHD compared to controls.”
Quote in the paperSubstantial claim - Findingown data§ RESULTS
The precuneus/PCC mask obtained from the dACC ROI-based group difference robustly predicted positively and negatively correlated activity in healthy volunteers.
“As shown in Figure 3, the precuneus/PCC mask obtained from the dACC ROI-based group difference robustly predicted positively and negatively correlated activity in healthy volunteers.”
Quote in the paperSubstantial claim - Findingown data§ DISCUSSION
The paper's results do not confirm a prior report of greater functional connectivity in adolescents with ADHD between dACC and widespread regions including thalamus, cerebellum, insula and pons.
“Our results do not confirm a prior report of greater functional connectivity in adolescents with ADHD between dACC and widespread regions including thalamus, cerebellum, insula and pons (17).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Tian, 2006, Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder, Neurosci Lett source
Not checked in the free run.
- Premisecitation§ Conclusions
Abnormalities in the default-mode network have been reported in ADHD.
“By definition, default-mode network activity can be detected during resting state scans, and abnormalities in this network have been reported in ADHD (17, 18), Alzheimer’s disease (19, 20), autism (21), schizophrenia (22), and depression (23).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [17] Tian, 2006, Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder, Neurosci Lett source
Not checked in the free run.
- cites [18] Zang, 2007, Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI, Brain Dev source
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- Interpretationown data§ Conclusions
The long-range connections linking dorsal anterior cingulate to posterior cingulate and precuneus should be considered as a candidate locus of dysfunction in ADHD.
“Together with prior unbiased anatomic evidence of posterior volumetric abnormalities, our findings suggest that the long-range connections linking dorsal anterior cingulate to posterior cingulate and precuneus should be considered as a candidate locus of dysfunction in ADHD.”
Quote in the paperSubstantial claim - Premisecitation§ Conclusions
The accumulated evidence for the hypothesis that ADHD results from a primary inhibitory deficit is equivocal at best.
“Although the hypothesis that ADHD results from a primary inhibitory deficit was proposed a decade ago (5), the accumulated evidence has been equivocal at best (1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] Castellanos, 2006, Characterizing cognition in ADHD: Beyond executive dysfunction, Trends Cogn Sci source
Not checked in the free run.
- Interpretationcitation§ DISCUSSION
ADHD-related decreases in connectivity between anterior and posterior default mode components may suggest a novel locus of dysfunction for working memory deficits commonly observed in ADHD.
“While not the primary focus of the present study, our finding of ADHD-related decreases in connectivity between anterior and posterior default mode components may suggest a novel locus of dysfunction for working memory deficits commonly observed in ADHD (33).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Martinussen, 2005, A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder, J Am Acad Child Adolesc Psychiatry source
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- Interpretationcitation§ DISCUSSION
The paper's novel results fit with prior voxel-based morphometric findings of diminished volume or decreased cortical thickness in precuneus and PCC in ADHD.
“Of note, these novel results fit with the three unbiased voxel-based morphometric findings of diminished volume (30, 31) or decreased cortical thickness (32) in precuneus and PCC in ADHD.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [30] Overmeyer, 2001, Distributed grey and white matter deficits in hyperkinetic disorder: MRI evidence for anatomical abnormality in an attentional network, Psychol Med source
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- cites [31] Carmona, 2005, Global and regional gray matter reductions in ADHD: A voxel-based morphometric study, Neurosci Lett source
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- cites [32] Makris, 2007, Cortical thinning of the attention and executive function networks in adults with attention-deficit/hyperactivity disorder, Cereb Cortex source
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- Interpretationown data§ DISCUSSION
The lack of a specific relationship between functional connectivity measures and inattention symptoms within the ADHD group may be because inattentive and hyperactive symptoms were highly correlated in the combined-type ADHD sample (r=0.68).
“We did not find a specific relationship between functional connectivity measures and inattention symptoms within the ADHD group, perhaps because inattentive and hyperactive symptoms, both of which were significantly negatively correlated with the regression parameter estimates, were highly correlated in our combined-type ADHD sample (r=0.68).”
Quote in the paperNot a substantial claim - Interpretationreasoning§ DISCUSSION
The paper's findings of ADHD-related decreases in functional connectivity among default-mode components and abnormal connectivity with control regions suggest a potential neural basis for a linkage between working memory deficits and attentional fluctuations.
“In this light, our findings of ADHD-related decreases in functional connectivity among default-mode components and abnormal connectivity with control regions suggest a potential neural basis for a linkage between working memory deficits and attentional fluctuations that will be addressed in future studies.”
Quote in the paperSubstantial claim - Interpretationown data§ DISCUSSION
The negative relationship posited by Weissman et al. between control regions and the default-mode network is intrinsically represented in brain.
“By analyzing the intrinsic functional connectivity of putative frontal control loci in unbiased whole brain comparisons, we confirmed that the negative relationship posited by Weissman et al. (11) between control regions and the default-mode network is intrinsically represented in brain.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Weissman et al. (11) Weissman, 2006, The neural bases of momentary lapses in attention, Nat Neurosci source
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- Classified as probably not a substantial claim. 20
- May combine two claims. 7
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown data§ RESULTSrIFG and rMFG ROIs were significantly negatively related to precuneus and posterior cingulate cortex (PCC) in both groups, but these relationships did not differentiate the groups significantly.
“Although both rIFG and rMFG ROIs were significantly negatively related to precuneus and posterior cingulate cortex (PCC) in both groups (see Supplementary Figure 1), these relationships did not differentiate the groups significantly.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ RESULTSThe ADHD group showed significantly less negatively correlated functional activity in ACC (BA 24, 31, 32) and medial frontal gyrus (BA 6) (p<0.00002, corrected) and in superior temporal gyrus (BA 22, 41; p<0.04, corrected), including claustrum and precentral gyrus (BA 43, 44).
“The ADHD group also showed significantly less negatively correlated functional activity in ACC (BA 24, 31, 32) and medial frontal gyrus (BA 6) (p<0.00002, corrected) and in superior temporal gyrus (BA 22, 41; p<0.04, corrected), including claustrum and precentral gyrus (BA 43, 44).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ RESULTSThe positively correlated regions coincided with the default-mode network in controls, but the ADHD group lacked the anterior component of that network.
“The positively correlated regions coincided with the default-mode network in controls, but the ADHD group lacked the anterior component of that network.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisecitation§ ConclusionsFunctional connectivity provides detailed spatial maps of putatively functionally related regions.
“This method of functional connectivity (8), first applied to mapping the motor cortical system (9), provides remarkably detailed spatial maps of putatively functionally related regions (10).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [8] Friston, 1994, Functional and effective connectivity in neuroimaging: A synthesis, Hum Brain Mapp source
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- cites [9] Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI, Magn Reson Med source
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- cites [10] Margulies, 2007, Mapping the functional connectivity of anterior cingulate cortex, Neuroimage source
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Premisecitation§ ConclusionsMomentary lapses in attention have been associated with failure to suppress activity in the default-mode network.
“Momentary lapses in attention have been associated with failure to suppress activity in the ‘default-mode’ network (11).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Weissman, 2006, The neural bases of momentary lapses in attention, Nat Neurosci source
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Study design and conductown data§ METHODSParticipants with ADHD were administered the Structured Clinical Interview for DSM-IV (SCID) to rule out other Axis I comorbid diagnoses.
“All participants with ADHD met lifetime criteria for Combined Type ADHD; they were also administered the Structured Clinical Interview for DSM-IV (SCID) to rule out other axis I comorbid diagnoses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ METHODSSymptom data on the ACDS 2.1 were unavailable for two subjects diagnosed with combined type ADHD by clinical interview.
“Symptom data on this scale unavailable for two subjects diagnosed with combined type ADHD by clinical interview.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ ConclusionsThe default-mode network is a large and robustly replicable network.
“The ‘default-mode’ network, first identified by Raichle et al. (12), is a large and robustly replicable network (13, 14, 15) that comprises medial ventral prefrontal cortex (MVPFC) and posterior cingulate cortex (PCC) and precuneus in the midline and which has been linked to non-goal-directed processes (16).”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [12] Raichle, 2001, A default mode of brain function, Proc Natl Acad Sci U S A source
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- cites [13] Greicius, 2004, Default-mode activity during a passive sensory task: Uncoupled from deactivation but impacting activation, J Cogn Neurosci source
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- cites [14] Fransson, 2005, Spontaneous low-frequency BOLD signal fluctuations: An fMRI investigation of the resting-state default mode of brain function hypothesis, Hum Brain Mapp source
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- cites [15] Damoiseaux, 2006, Consistent resting-state networks across healthy subjects, Proc Natl Acad Sci U S A source
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Premisecitation§ ConclusionsThe default-mode network has been linked to non-goal-directed processes.
“The ‘default-mode’ network, first identified by Raichle et al. (12), is a large and robustly replicable network (13, 14, 15) that comprises medial ventral prefrontal cortex (MVPFC) and posterior cingulate cortex (PCC) and precuneus in the midline and which has been linked to non-goal-directed processes (16).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Raichle, 2007, A default mode of brain function: A brief history of an evolving idea, Neuroimage source
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Study design and conductcitation§ METHODSThe Adult ADHD Clinical Diagnostic Scale (ACDS) Version 1.2 has been validated with informant-only reports.
“All participants were evaluated with the Adult ADHD Clinical Diagnostic Scale (ACDS) Version1.2 (26), a semi-structured interview that probes for the presence, severity and impairment associated with ADHD symptoms in childhood and adulthood, and which has been validated with informant-only reports (27).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Kessler, 2006, The prevalence and correlates of adult ADHD in the United States: Results from the National Comorbidity Survey Replication, Am J Psychiatry source
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Study design and conductcitation§ METHODSA study-specific template was created to optimize automated spatial normalization and avoid possible group differences related to registration errors.
“In order to optimize automated spatial normalization and avoid possible group differences related to registration errors (28), we created a study specific template based upon the approach employed in optimized voxel based morphometry protocols (28).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Good, 2001, A voxel-based morphometric study of ageing in 465 normal adult human brains, Neuroimage source
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Premisecitation§ ConclusionsThe focus on executive dysfunction and the frontal lobes has left alternative hypotheses unexplored, as pointed out in a recent quantitative meta-analysis of functional imaging studies of ADHD.
“However, as pointed out in a recent quantitative meta-analysis of functional imaging studies of ADHD (4), the focus on executive dysfunction and the frontal lobes has left alternative hypotheses unexplored.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Dickstein, 2006, The neural correlates of attention deficit hyperactivity disorder: An ALE meta-analysis, J Child Psychol Psychiatry source
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Study design and conductcitation§ METHODSProspective participants were screened with the Symptom Checklist-90-Revised (SCL-90 R) to exclude a broad range of psychiatric psychopathology.
“All prospective participants were screened with the Symptom Checklist-90-Revised (SCL-90 R), to exclude a broad range of psychiatric psychopathology (25).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Deragotis, 1986
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Premisecitation§ ConclusionsPathophysiological models of ADHD have focused on prefrontal-striatal and mesolimbic circuits, based on findings of executive and motivational dysfunction.
“Pathophysiological models of Attention-Deficit/Hyperactivity Disorder (ADHD) have focused on prefrontal-striatal and mesolimbic circuits (1), based on findings of executive and motivational dysfunction (2, 3).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [1] Castellanos, 2006, Characterizing cognition in ADHD: Beyond executive dysfunction, Trends Cogn Sci source
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- cites [2] Willcutt, 2005, Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review, Biol Psychiatry source
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- cites [3] Sonuga-Barke, 2005, Causal models of ADHD: from common simple deficits to multiple developmental pathways, Biol Psychiatry source
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Study design and conductown data§ METHODSAge, sex distributions, and educational attainment did not differ significantly between the ADHD and healthy comparison groups (p>.20).
“Age, sex distributions and educational attainment did not differ significantly (p>.20).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisecitation§ ConclusionsThe default-mode network comprises medial ventral prefrontal cortex, posterior cingulate cortex, and precuneus in the midline.
“The ‘default-mode’ network, first identified by Raichle et al. (12), is a large and robustly replicable network (13, 14, 15) that comprises medial ventral prefrontal cortex (MVPFC) and posterior cingulate cortex (PCC) and precuneus in the midline and which has been linked to non-goal-directed processes (16).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Raichle, 2001, A default mode of brain function, Proc Natl Acad Sci U S A source
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Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ METHODSRepeating the analyses using the standard adult 152 brain MNI template rather than the study-specific template yielded nearly identical results.
“Repeating our analyses using the standard adult 152 brain MNI template rather than the study specific template yielded nearly identical results.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisecitation§ ConclusionsIn healthy adult volunteers, decreased cue-related activation in three prefrontal regions predicted slower response times and decreased default-mode network suppression.
“The starting point for the present study was the finding that decreased cue-related activation in three prefrontal regions predicted slower response times and decreased default-mode network suppression in healthy adult volunteers (11), suggesting potential control loci for default-mode regulation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Weissman, 2006, The neural bases of momentary lapses in attention, Nat Neurosci source
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Study design and conductown data§ METHODSHealthy comparison subjects were administered a semi-structured clinical interview to rule out all Axis I psychiatric disorders, including ADHD or learning disorders in childhood or adulthood.
“A psychiatrist (AK, MG) administered a semi-structured clinical interview to healthy comparison subjects to rule out all axis I psychiatric disorders, including presence of ADHD or learning disorders in childhood or adulthood.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisecitation§ DISCUSSIONBetter performance on a working memory task has been reported to be positively related to the strength of functional connectivity between anterior and posterior default-mode components (VMPFC and PCC).
“Better performance on a working memory task has been reported to be positively related to the strength of functional connectivity between anterior and posterior default-mode components (VMPFC and PCC) (34).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Hampson, 2006, Brain connectivity related to working memory performance, J Neurosci source
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Premisecitation§ DISCUSSIONACC is functionally and structurally complex.
“First, ACC is functionally and structurally complex (35, 10); we ‘seeded’ an ACC subregion empirically linked to default-mode interactions, while the seed ROI used by Tian et al. comprised the entire dorsal ACC.”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Premisecitation§ DISCUSSIONTian et al. did not differentiate the anti-phase relationships (anti-correlations) that accounted for the paper's findings.
“Second, Tian et al. did not differentiate the anti-phase relationships (“anti-correlations”) (24, 14) that accounted for our findings.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [24] Fox, 2005, The human brain is intrinsically organized into dynamic, anticorrelated functional networks, Proc Natl Acad Sci U S A source
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- cites [14] Fransson, 2005, Spontaneous low-frequency BOLD signal fluctuations: An fMRI investigation of the resting-state default mode of brain function hypothesis, Hum Brain Mapp source
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Study design and conductnone given§ METHODSMultiple comparisons were corrected at the cluster level using Gaussian random field theory (min Z>2.3; cluster significance p<0.05, corrected).
“We produced individual subject-level maps of all positively- and negatively-predicted voxels for each regressor, correcting for multiple comparisons at the cluster level using Gaussian random field theory (min Z>2.3; cluster significance: p<0.05, corrected).”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Cortical connectivity should be reciprocal.
“Based on the assumption that cortical connectivity should be reciprocal (29), we used the timeseries corresponding to the”
“Based on the assumption that cortical connectivity should be reciprocal (29), we used the timeseries corresponding to the region which differed significantly between groups in our primary analyses, and derived the corresponding positively and negatively predicted networks and their significant group differences.”
The paper relies on this without support.
Standard task-based functional imaging studies depend on the precise specification of underlying neuropsychological deficits.
“Additionally, standard task-based functional imaging studies depend on the precise specification of underlying neuropsychological deficits.”
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?
The PFC is underactive in many patients with ADHD.
“this brain region is underactive in many patients with ADHD”
From Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders (2011) · cites this paper as Castellanos et al., 2008
The Results and Discussion report reduced functional connectivity involving the ventromedial prefrontal cortex in the ADHD group. They do not establish that the PFC itself is underactive, or that this is true of many patients; the decreased prefrontal activation mentioned in the introductory passage concerns healthy volunteers. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn patients with ADHD, white matter tracts linking the PFC to other brain regions appear less well organized, and functional connectivity is reduced.
“In patients with ADHD, the white matter tracts that link the PFC to other brain regions also appear less well organized (Casey et al., 2007; Makris et al., 2008), and functional connectivity is reduced (Castellanos et al., 2008).”
From Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders (2011) · cites this paper as Castellanos et al., 2008
The dorsolateral PFC has a smaller volume and reduced activity in patients with ADHD compared with controls.
“Several imaging studies have shown that the dorsolateral PFC has a smaller volume and reduced activity in patients with ADHD compared with controls (Castellanos et al., 2002; Castellanos et al., 2008; Mostofsky et al., 2002; Rubia et al., 1999; Seidman et al., 2005).”
From Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders (2011) · cites this paper as Castellanos et al., 2008
The Results report reduced functional connectivity involving the dorsal anterior cingulate, precuneus, and posterior cingulate in adults with ADHD, not reduced dorsolateral PFC activity. The Discussion mentions diminished volume in the precuneus and posterior cingulate. Searches for dorsolateral PFC volume and activity found no passage in our copy addressing the claimed comparison with controls; section page numbers were not available. (LLM, conf=0.77)
Experimental — accuracy not yet measuredConnections to the default network were atypical in ADHD in all three subgroups.
“Connections to the default network were atypical in ADHD in all the three subgroups, corroborating previous findings of atypical connectivity between the nucleus accumbens and regions of the default network in a group of children with ADHD combined type (which shared some participants with the current study) (Costa Dias et al., 2012), and of atypical integration of this network in ADHD (Castellano”
From Characterizing heterogeneity in children with and without ADHD based on reward system connectivity (2015) · cites this paper as Castellanos et al., 2008
Systems that are positively correlated may be interpreted as integrated systems, while the ones negatively correlated may be highly segregated.
“Previous studies suggest systems that are positively correlated may be interpreted as integrated systems, while the ones negatively correlated may be highly segregated (Castellanos et al., 2008, Fox et al., 2005, Fox et al., 2009).”
From Characterizing heterogeneity in children with and without ADHD based on reward system connectivity (2015) · cites this paper as Castellanos et al., 2008
The group difference in the working memory correlation was in the opposite direction within three other regions, including ventromedial PFC (BA10).
“In contrast, the group difference in the WM correlation was in the opposite direction within three other regions. These regions included ventromedial PFC (BA10), which has been implicated in “default mode” processing (38).”
From Attentional Control Activation Relates to Working Memory in Attention-Deficit/Hyperactivity Disorder (2010) · cites this paper as [38]
The default mode network is implicated in ADHD and associated with poorer attentional regulation in ADHD.
“The default mode network is implicated in ADHD (Fair et al., 2010) and is associated with poorer attentional regulation in ADHD (Castellanos et al., 2008).”
From Mindfulness Meditation Training for Attention-Deficit/Hyperactivity Disorder in Adulthood: Current Empirical Support, Treatment Overview, and Future Directions (2015) · cites this paper as Castellanos et al., 2008
The default mode network is a promising target for mindfulness and is implicated in ADHD.
“Another example includes assessment of the default mode network, which is another promising target for mindfulness (Sood & Jones, 2013) and is implicated in ADHD (Castellanos et al., 2008; Fair et al., 2010)”
From Mindfulness Meditation Training for Attention-Deficit/Hyperactivity Disorder in Adulthood: Current Empirical Support, Treatment Overview, and Future Directions (2015) · cites this paper as Castellanos et al., 2008
Some data suggest reduced functional activity and connectivity within the DFN during rest in ADHD, but others report an overactive DFN during quiescence.
“When comparing ADHD participants to controls, some data suggest, reduced functional activity and connectivity within the DFN during rest (Castellanos et al., 2008; Uddin et al., 2008b), but others report an overactive DFN during quiescence (Tian et al., 2006; Tian et al., 2008).”
From The influences of environmental enrichment, cognitive enhancement, and physical exercise on brain development: Can we alter the developmental trajectory of ADHD? (2011) · cites this paper as Castellanos et al., 2008
Castellanos et al. 2008 found that adults with ADHD had reduced negative correlation with a region in the default mode network, the precuneus/posterior cingulate gyrus.
“Castellanos et al (2008) found that a group of adults with ADHD had reduced negative correlation with a region in the DMN (precuneus/ posterior cingulate gyrus).”
From Understanding the Effects of Stimulant Medications on Cognition in Individuals with Attention-Deficit Hyperactivity Disorder: A Decade of Progress (2011) · cites this paper as Castellanos et al (2008)
Resting-state functional connectivity MRI has been used to study brain functional connectivity in ADHD, but studies focusing on cortical-subcortical connections remain infrequent.
“Rs-fcMRI has been used to study brain functional connectivity in ADHD (Castellanos et al., 2008; Fair et al., 2010), but studies focusing on cortical-subcortical connections remain infrequent.”
From Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder (2013) · cites this paper as Castellanos et al., 2008
The first analysis found that, in children with ADHD, NAcc showed abnormal connectivity with multiple cortical areas, some of which had previously shown atypical spontaneous activity correlations in adults and children with the disorder.
“in the first section we found that NAcc is atypically connected to several cortical regions in children with ADHD, including regions previously shown to present atypical correlated spontaneous activity in adults and children with the disorder (Castellanos et al., 2008; Fair et al., 2010; Mills et al., 2012).”
From Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder (2013) · cites this paper as Castellanos et al., 2008
Functional hyperconnectivity in clinical populations is increasingly interpreted as reflecting delayed or stunted maturational processes.
“Functional hyperconnectivity in clinical populations is increasingly interpreted as reflecting delayed or stunted maturational processes.”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [67]
Increased local and reduced long-range FC characteristic of immature development has been reported to be widespread in Tourette's disorder and was also found in ADHD.
“increased local and reduced long-range FC- characteristic of immature development- has been reported to be widespread in Tourette’s disorder (along with two anomalous circuits) (67) and was also found in ADHD (68).”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [67]
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.
Reported symptom-correlation direction conflicts with group data
MajorADHD participants have much higher symptom counts in Table 1 and higher regression parameter estimates than controls. Given the reported within-group standard deviations, the stated negative correlation across the combined sample is incompatible with those group data.
“The regression parameter estimates were significantly negatively correlated with ADHD symptoms across the entire sample (Pearson correlation coefficients ranged between −0.61 and −0.54 (n=38, p<.001) for the childhood or adulthood symptoms of hyperactivity/impulsivity or inattention.”
“means ±SD −0.23 ± 0.12 and −0.01 ± 0.15 for healthy control and ADHD groups, respectively”
Table 3 labels positive-network differences as negatively correlated
MinorThe Results describe the medial prefrontal and PCC/precuneus differences as involving positively correlated default-mode regions, but the corresponding portion of Table 3 is headed as decreases in negatively correlated connectivity.
“ADHD-Related Decreases in Negatively-Correlated Functional Connectivity with Precuneus/Posterior Cingulate Regions Region BA x y z Cluster Size (# Voxels) Cluster Significance Peak Z-scores Medial Frontal Gyrus * 9 −4 45 25 13,479 p=3 ×10 −11 , corrected -”
“The positively correlated regions coincided with the default-mode network in controls, but the ADHD group lacked the anterior component of that network. As the right panel of Figure 3 shows, the groups differed significantly in medial prefrontal cortex and superior frontal gyrus (p<3×10−11, corrected) and also in PCC/precuneus (p<.02, corrected; see Table 3).”
Frontal seed labels are swapped in the supplement
MinorThe Methods assign the seed near x=34, y=45 to rIFG and the seed near x=49, y=19 to rMFG. The supplementary description assigns those locations to rMFG and rIFG, respectively.
“rIFG: x=34, y=45, z=23; rMFG: x=49, y=19, z=0”
“right medial frontal gyrus (rMFG; BA10; x=34, y=45, z=19), and right inferior frontal gyrus (rIFG; BA47; x=49, y=18, z=−1)”
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Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
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Differential fractional anisotropy abnormalities in adolescents with ADHD or schizophrenia
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MR connectomics: a conceptual framework for studying the developing brain
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The neural basis of sustained and transient attentional control in young adults with ADHD
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Brain differences between persistent and remitted attention deficit hyperactivity disorder
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- Authors
- Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., Di Martino, A., Biswal, B., Sonuga-Barke, E. J. S., Rotrosen, J., Adler, L. A., & Milham, M. P.
- Affiliations
- Nathan Kline Institute for Psychiatric Research (US)
- New York University (US)
- University of Medicine and Dentistry of New Jersey (US)
- King's College London (GB)
- Corresponding author
- Castellanos, F. Xavier
- ORCID
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 63
- Issue
- 3
- Pages
- 332-337
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC2745053
- OpenAlex
- W2023981958
- Cited by
- 854
- References
- 11
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 25 · 2023: 33 · 2022: 24 · 2021: 38 · 2020: 41 · 2019: 48 · 2018: 42 · 2017: 43 · 2016: 55 · 2015: 66 · 2014: 63 · 2013: 66 · 2012: 72
- FWCI
- 26.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Institutes of Health (5r21mh066393-03, 5t32mh067763-10)
- National Institute of Mental Health (5T32MH067763, 5R21MH066393, R01MH083246, R21-MH066393, T32MH-067763)
- National Institute on Drug Abuse (R01DA016979)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- attention deficit hyperactivity disorder, dorsal anterior cingulate cortex, precuneus, posterior cingulate cortex, default mode network, functional connectivity, resting-state functional connectivity, ventromedial prefrontal cortex, cognitive control, adult ADHD
- MeSH terms
- Adult, Attention Deficit Disorder with Hyperactivity, Brain Mapping, Female, Gyrus Cinguli, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Oxygen, Case-Control Studies, Prefrontal Cortex
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 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
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.
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