Individual differences in amygdala-medial prefrontal anatomy link negative affect, impaired social functioning, and polygenic depression risk
Open accessAbstract
Individual differences in affective and social processes may arise from variability in amygdala-medial prefrontal (mPFC) circuitry and related genetic heterogeneity. To explore this possibility in humans, we examined the structural correlates of trait negative affect in a sample of 1050 healthy young adults with no history of psychiatric illness. Analyses revealed that heightened negative affect was associated with increased amygdala volume and reduced thickness in a left mPFC region encompassing the subgenual and rostral anterior cingulate cortex. The most extreme individuals displayed an inverse correlation between amygdala volume and mPFC thickness, suggesting that imbalance between these structures is linked to negative affect in the general population. Subgroups of participants were further evaluated on social ( n = 206) and emotional ( n = 533) functions. Individuals with decreased mPFC thickness exhibited the poorest social cognition and were least able to correctly identify facial emotion. Given prior links between disrupted amygdala–mPFC circuitry and the presence of major depressive disorder (MDD), we explored whether the individual differences in anatomy observed here in healthy young adults were associated with polygenic risk for MDD ( n = 438) using risk scores derived from a large genome-wide association analysis ( n = 18,759). Analyses revealed associations between increasing polygenic burden for MDD and reduced cortical thickness in the left mPFC. These collective findings suggest that, within the healthy population, there is significant variability in amygdala–mPFC circuitry that is associated with poor functioning across affective and social domains. Individual differences in this circuitry may arise, in part, from common genetic variability that contributes to risk for MDD.
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- Findingown data
Among the most extreme participants, amygdala volume and medial prefrontal thickness are inversely correlated.
“The most extreme individuals displayed an inverse correlation between amygdala volume and mPFC thickness”
Quote in the paperSubstantial claim - Findingown data
Higher negative affect is associated with larger right hippocampal volume.
“right hippocampal volumes (F(1,1042) = 6.60; p < 0.01; r = 0.08)”
Quote in the paperNot a substantial claim - Findingown data
The relationship between amygdala volume and negative affect does not significantly differ between hemispheres.
“the relation between amygdala volume and the composite score of negative affect did not significantly differ by hemisphere (Z = 1.17, p = 0.24).”
Quote in the paperNot a substantial claim - Findingown data
Higher negative affect is associated with larger left hippocampal volume.
“Heightened negative affect was associated with increased left (F(1,1042) = 12.56; p < 0.001; r =0.11)”
Quote in the paperNot a substantial claim - Findingown data
In healthy young adults without psychiatric illness, higher trait negative affect is associated with larger amygdala volume.
“heightened negative affect was associated with increased amygdala volume”
- Also stated in: § Increased amygdala volume is associated with negative affect · plain
“left amygdala volume accounted for a significant percentage of the variance in negative affect (F(1,1042) =19.67; p <0.001; r =0.14; Figs. 2A, 3A).”
Quote in the paperSubstantial claim - Also stated in: § Increased amygdala volume is associated with negative affect · plain
- Findingown data
Left amygdala volume accounts for a significant portion of variance in negative affect after adjustment for covariates.
“left amygdala volume accounted for a significant percentage of the variance in negative affect (F(1,1042) =19.67; p <0.001; r =0.14; Figs. 2A, 3A).”
Quote in the paperSubstantial claim - Findingown data
People with reduced medial prefrontal thickness have the poorest social cognition.
“Individuals with decreased mPFC thickness exhibited the poorest social cognition”
Quote in the paperSubstantial claim - Findingown data
People with reduced medial prefrontal thickness are least accurate at identifying facial emotion.
“were least able to correctly identify facial emotion”
Quote in the paperSubstantial claim - Findingown data
Right amygdala volume is associated with negative affect after adjustment for covariates.
“This effect was echoed in the right amygdala (F(1,1042) = 7.69; p < 0.01; r = 0.09)”
Quote in the paperSubstantial claim - Findingown data
Greater polygenic burden for major depressive disorder is associated with thinner left medial prefrontal cortex.
“Analyses revealed associations between increasing polygenic burden for MDD and reduced cortical thickness in the left mPFC.”
Quote in the paperSubstantial claim - Findingown data
When partialing out social functioning, the relation between emotion perception and mPFC thickness no longer reached significance (F(1,130) = 0.93; p = 0.34; r = −0.08).
“When partialing out social functioning, the relation between emotion perception and mPFC thickness no longer reached significance (F(1,130) = 0.93; p =0.34; r =−0.08).”
Quote in the paperSubstantial claim - Findingown data
The association between polygenic MDD risk (PT < 0.5) and reduced mPFC thickness was present across five polygenic scores for depression derived at thresholds of varying association stringency from prior case-control GWAS analyses.
“This effect was present across five polygenic scores for depression derived at thresholds of varying association stringency from prior case control GWAS analyses (Table 4).”
Quote in the paperSubstantial claim - Findingown data
No effect emerged when considering polygenic factors for bipolar disorder, schizophrenia, ADHD, or six nonpsychiatric illnesses.
“Suggesting the specificity of this association, no effect emerged when considering polygenic factors for bipolar disorder, schizophrenia, ADHD, or six nonpsychiatric illnesses.”
Quote in the paperSubstantial claim - Findingown data
The association between polygenic MDD risk (PT < 0.5) and mPFC thickness was reduced to a trend when considering the FreeSurfer defined parcelation of the rACC (F(1,430) = 3.73; p = 0.05; r = −0.09).
“The association between polygenic MDD risk (PT < 0.5) and mPFC thickness was reduced to a trend when considering the FreeSurfer defined parcelation of the rACC (F(1,430) = 3.73; p = 0.05; r = −0.09).”
Quote in the paperSubstantial claim - Findingown data
Our analyses identified opposing effects of the amygdala and mPFC on negative affect, specifically within the rACC extending into the sgACC.
“Our analyses identified opposing effects of the amygdala and mPFC on negative affect, specifically within the rACC extending into the sgACC.”
Quote in the paperSubstantial claim - Findingown data
An aggregate measure of genetic risk for MDD is associated with reduced left mPFC thickness.
“Finally, the present analyses reveal that an aggregate measure of genetic risk for MDD is associated with reduced left mPFC thickness.”
Quote in the paperSubstantial claim - Findingown data
Follow-up analyses confirmed the relation between cortical thickness and polygenic burden was preferentially localized in the mPFC.
“Follow-up analyses confirmed the relation between cortical thickness, and polygenic burden was preferentially localized in the mPFC (Fig. 8B).”
Quote in the paperSubstantial claim - Findingown data
Left amygdala volume was similarly associated with the negative affect composite score for both women (F(1,561) = 10.55; p < 0.001; r = 0.14) and men (F(1,475) = 7.64; p < 0.01; r = 0.13).
“Critically, left amygdala volume was similarly associated with the negative affect composite score for both women (F(1,561) = 10.55; p <0.001; r =0.14) and men (F(1,475) = 7.64; p < 0.01; r = 0.13).”
Quote in the paperSubstantial claim - Findingown data
After partialing out the variance associated with negative affect, the association between social functioning and mPFC thickness remained (F(1,171) = 5.02; p < 0.05; r = −0.16).
“After partialing out the variance associated with negative affect, the association between social functioning and mPFC thickness remained (F(1,171) = 5.02; p < 0.05; r = −0.16).”
Quote in the paperSubstantial claim - Findingown data
Relations between mPFC anatomy and emotion perception were largely driven by a tendency to mistakenly ascribe emotions to neutral stimuli, rather than impaired recognition of emotional faces.
“Relations between mPFC anatomy and emotion perception were largely driven by a tendency to mistakenly ascribe emotions to neutral stimuli, rather than impaired recognition of emotional faces.”
Quote in the paperSubstantial claim - Findingown data
The medial prefrontal effect is anatomically preferential, largely confined to the rostral anterior cingulate extending into subgenual anterior cingulate.
“follow-up whole surface analyses established that the effect was anatomically preferential, largely confined at our significance threshold to the rACC extending into the subgenual ACC (sgACC) (Fig. 3D).”
Quote in the paperNot a substantial claim - Findingown data
The association between increasing polygenic burden (PT < 0.5) and decreasing mPFC thickness held after partialing out the variance associated with trait negative affect (F(1,392) = 7.30; p < 0.01; r = −0.13).
“The association between increasing polygenic burden (PT < 0.5) and decreasing mPFC thickness held after partialing out the variance associated with trait negative affect (F(1,392) = 7.30; p < 0.01; r = −0.13).”
Quote in the paperSubstantial claim - Findingown data
The current analyses provide evidence of a relation between an aggregate measure of genetic risk and anatomical variation in the mPFC network supporting affective and social functions.
“The current analyses provide evidence of a relation between an aggregate measure of genetic risk and anatomical variation in the mPFC network supporting affective and social functions.”
Quote in the paperSubstantial claim - Findingown data
After partialing out the variance associated with negative affect, the association between errors in emotion perception and mPFC thickness remained (F(1,521) = 7.33; p < 0.01; r = −0.11).
“After partialing out the variance associated with negative affect, the association between errors in emotion perception and mPFC thickness remained (F(1,521) = 7.33; p < 0.01; r = −0.11).”
Quote in the paperSubstantial claim - Findingown data
Heightened polygenic MDD risk (PT < 0.5) was associated with reduced mPFC thickness (F(1,430) = 8.34; p < 0.005; r = −0.14).
“Consistent with evidence of dysfunction within the left mPFC in patient populations (Curran et al., 1993; Drevets et al., 1997; Hajek et al., 2008; Mayberg, 1997; Price and Drevets, 2010; Savitz and Drevets, 2009b), heightened polygenetic MDD risk (PT < 0.5) was associated with reduced mPFC thickness (F(1,430) = 8.34; p <0.005; r =−0.14; Fig. 8A).”
Quote in the paperSubstantial claim - Findingown data
The inverse association between negative affect and medial prefrontal thickness remains after adjusting for amygdala volume.
“as did the inverse relation between negative affect and mPFC thickness after partialing out variance associated with amygdala volume (F(1,1042) = 7.52; p < 0.01; r = −0.09).”
Quote in the paperSubstantial claim - Findingown data
The present findings highlight a relation between common polygenic burden and mPFC thickness in psychiatrically healthy young adults.
“The present findings highlight a relation between common polygenic burden and mPFC thickness in psychiatrically healthy young adults.”
Quote in the paperSubstantial claim - Findingown data
Reduced mPFC thickness (using the region defined from analyses of negative affect) was associated with increased errors in emotion perception (error rate 0.19 ± 0.06; F(1,521) = 7.33; p < 0.01; r = −0.12).
“Consistent with our prior analyses, reduced mPFC thickness (using the region defined from analyses of negative affect) was associated with increased errors in emotion perception (error rate 0.19 ± 0.06; F(1,521) = 7.33; p < 0.01; r = −0.12; Fig. 7).”
Quote in the paperSubstantial claim - Findingown data
The association between errors in emotion perception and mPFC thickness held when considering the FreeSurfer defined parcelation of the rACC (F(1,521) = 6.63; p < 0.01; r = −0.12).
“The association between errors in emotion perception and mPFC thickness held when considering the FreeSurfer defined parcelation of the rACC (F(1,521) = 6.63; p < 0.01; r = −0.12).”
Quote in the paperSubstantial claim - Findingown data
The current analyses suggest that the measured polygenic MDD scores account for ~2% of the total variance in mPFC thickness.
“The current analyses suggest that the measured polygenic MDD scores account for ~2% of the total variance in mPFC thickness.”
Quote in the paperSubstantial claim - Findingown data
There was no relation between errors in emotion perception and negative affect (r = −0.05, p = 0.25).
“There was no relation between errors in emotion perception and negative affect (r =−0.05, p =0.25).”
Quote in the paperNot a substantial claim - Findingown data
Women displayed higher negative affect than men (0.10 ± 0.86 vs −0.12 ± 0.80; t(1048) = 4.29; p < 0.001).
“Women displayed increased negative affect (0.10 ±0.86 vs −0.12 ±0.80; t(1048) = 4.29; p < 0.001)”
Quote in the paperNot a substantial claim - Findingown data
In the absence of illness, amygdala and hippocampal volumes are largest in individuals with heightened negative affect.
“The current findings indicate that, in the absence of illness, amygdala and hippocampal volumes are largest in individuals with heightened negative affect.”
Quote in the paperSubstantial claim - Findingown data
The relation between negative affect and mPFC thickness became nonsignificant after partialing out variance associated with social functioning (F(1,171) = 1.63; p = 0.20; r = −0.10).
“However, the relation between negative affect and mPFC thickness became nonsignificant after partialing out variance associated with social functioning (F(1,171) = 1.63; p = 0.20; r = −0.10).”
Quote in the paperSubstantial claim - Findingown data
Correlations between amygdala and hippocampus volumes are stronger than their correlations with other subcortical regions.
“correlations between amygdala and hippocampus volumes (r > 0.42) were significantly stronger than their respective relations with other sub-cortical regions (r < 0.29; Z < 3.41; p < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
With the exception of ADHD (Z < 1.59; p > 0.11), the association between polygenic MDD risk and mPFC thickness was significantly greater than the relations observed for the other psychiatric polygene scores (PT < 0.1 to 0.5; Z > 2.04; p < 0.05).
“With the exception of ADHD (Z <1.59; p > 0.11), the association between polygenic MDD risk and mPFC thickness was significantly greater than the relations observed for the other psychiatric polygene scores (PT < 0.1 to 0.5; Z > 2.04; p < 0.05).”
Quote in the paperSubstantial claim - Findingown data
A cortical correlate of negative affect (decreased left mPFC thickness) is associated with poor social functioning and emotion identification.
“A second finding of our study is that a cortical correlate of negative affect (decreased left mPFC thickness) is associated with poor social functioning and emotion identification.”
Quote in the paperSubstantial claim - Findingown data
The present analyses revealed an amygdala-mPFC contribution to affective and social functioning in both sexes.
“The present analyses revealed an amygdala–mPFC contribution to affective and social functioning in both sexes.”
Quote in the paperSubstantial claim - Findingown data
Left amygdala volume and medial prefrontal thickness together account for 3% of the remaining variance in self-reported negative affect after adjustment for age, sex, IQ, console software version, and collection site.
“left amygdala volume (after partialing out ICV) and mPFC thickness accounted for 3% of the remaining variance in self-reported negative affect (F(1,1042) = 13.67; p <0.001; r =0.16).”
Quote in the paperSubstantial claim - Findingown data
Imputed dosage-data-based polygenic MDD risk (PT < 0.5) was associated with reduced mPFC thickness (F(1,432) = 6.53; p < 0.05; r = −0.12).
“Providing support for the initial genotype-data-based analyses, imputed dosage-data-based polygenic MDD risk (PT < 0.5) was associated with reduced mPFC thickness (F(1,432) = 6.53; p < 0.05; r = −0.12).”
Quote in the paperSubstantial claim - Findingown data
The current analyses indicate that polygenic MDD risk predicts the cortical thickness of regions within the mPFC associated with negative affect and impaired social functioning.
“The current analyses indicate that polygenic MDD risk predicts the cortical thickness of regions within the mPFC associated with negative affect and impaired social functioning.”
Quote in the paperSubstantial claim - Findingown data
No sex differences emerged in amygdala volumes after partialing out ICV (t < 1.28; p > 0.20).
“No differences emerged when considering amygdala volumes (after partialing out ICV; t < 1.28; p > 0.20).”
Quote in the paperNot a substantial claim - Findingown data
Analyses of amygdala volumes revealed no significant relations with errors in emotion perception (F < 0.78; p > 0.38; r < 0.03).
“Analyses of amygdala volumes revealed no significant relations with errors in emotion perception (F < 0.78; p > 0.38; r < 0.03).”
Quote in the paperNot a substantial claim - Findingown data
An inverse association was found between amygdala volume and mPFC thickness among individuals with the most extreme negative affect, representing the upper 15% of the sample.
“An inverse association was found between amygdala volume and mPFC thickness among those individuals with the most extreme negative affect, representing the upper 15% of the sample.”
Quote in the paperSubstantial claim - Findingown data
The anticorrelation in the extreme negative affect participants was significantly different from the relations observed in both the low (Z = 3.34, p < 0.001) and medium (Z = 3.29, p < 0.001) groups.
“The anticorrelation in the extreme negative affect participants was significantly different from the relations observed in both the low (Z = 3.34, p < 0.001) and medium (Z = 3.29, p < 0.001) groups.”
Quote in the paperSubstantial claim - Findingown data
This effect was present across each imputed risk score (PT < 0.1, 0.2, 0.3, 0.4; F > 7.67; p < 0.01; r > 0.13).
“This effect was present across each imputed risk score (PT < 0.1, 0.2, 0.3, 0.4; F > 7.67; p < 0.01; r > 0.13; Table 4).”
Quote in the paperSubstantial claim - Findingown data
The relation between mPFC thickness and social function was present when considering the broader FreeSurfer parcelation of the rACC (F(1,200) = 6.78; p < 0.01; r = −0.18).
“The relation between mPFC thickness and social function was present when considering the broader FreeSurfer parcelation of the rACC (F(1,200) = 6.78; p < 0.01; r = −0.18).”
Quote in the paperSubstantial claim - Findingown data
Reduced left mPFC thickness was associated with a composite score of social withdrawal and reduced social functioning within the region delineated in the negative affect analyses (F(1,200) = 12.07; p < 0.001; r = −0.24).
“In line with the hypothesized role of the mPFC in social behaviors, reduced left mPFC thickness was associated with a composite score of social withdrawal and reduced social functioning within the region delineated in the negative affect analyses (F(1,200) = 12.07; p < 0.001; r = −0.24; Fig. 6A).”
Quote in the paperSubstantial claim - Findingown data
Within the participants providing data for both the emotion perception and social functioning analyses (n = 138), decreased accuracy in emotional perception was associated with reduced social functioning (r = 0.23, p < 0.01).
“Within the participants providing data for both the emotion perception and social functioning analyses (n =138), decreased accuracy in emotional perception was associated with reduced social functioning (r =0.23, p < 0.01).”
Quote in the paperSubstantial claim - Findingown data
No association was observed between polygenic burden and negative affect.
“No association was observed between polygenic burden and negative affect.”
Quote in the paperSubstantial claim - Findingown data
There was no significant association between social functioning and the volume of either the left or right amygdala (F < 2.10; p > 0.15; r < 0.08).
“There was no significant association between social functioning and the volume of either the left or right amygdala (F < 2.10; p > 0.15; r < 0.08).”
Quote in the paperNot a substantial claim - Findingown data
Reduced left medial prefrontal thickness is associated with increased negative affect.
“reduced left mPFC thickness was associated with increased negative affect (F(1,1043) = 8.28; p <0.005; r =−0.09; Fig. 2B).”
Quote in the paperSubstantial claim - Findingown data
When accounting for errors in emotion perception, the association between mPFC thickness and reduced social functioning remained significant (F(1,130) = 8.65; p < 0.005; r = −0.24).
“When accounting for errors in emotion perception, the association between mPFC thickness and reduced social functioning remained significant (F(1,130) = 8.65; p < 0.005; r = −0.24).”
Quote in the paperSubstantial claim - Findingown data
Increased negative affect was correlated with increased social withdrawal and reduced social functioning (F(1,197) = 49.08; p < 0.001; r = 0.47).
“Consistent with their shared anatomical associations, increased negative affect was correlated with increased social withdrawal and reduced social functioning (F(1,197) = 49.08; p < 0.001; r = 0.47).”
Quote in the paperSubstantial claim - Findingown data
The relation between mPFC thickness and social functioning remained when the RSRI was eliminated from the social functioning composite score (F(1,200) = 13.22; p < 0.001; r = −0.25).
“In line with the broad influence of amygdala–mPFC circuitry across affective and social processes, the relation with mPFC thickness remained when the RSRI was eliminated from the social functioning composite score (F(1,200) = 13.22; p < 0.001; r =−0.25).”
Quote in the paperSubstantial claim - Findingown data
Right medial prefrontal thickness is not associated with negative affect.
“No effects emerged on the right (F(1,1043) = 0.16; p =0.69; r <−0.01).”
Quote in the paperNot a substantial claim - Findingown data
The current data indicate that negative affect is broadly associated with the increasing volume of temporal lobe structures.
“The current data indicate that negative affect is broadly associated with the increasing volume of temporal lobe structures.”
Quote in the paperNot a substantial claim - Findingown data
The association between negative affect and amygdala volume remains after adjusting for medial prefrontal thickness.
“After partialing out the variance associated with mPFC thickness, the association between negative affect and the amygdala remained (F(1,1042) = 18.92; p <0.001; r =0.13)”
Quote in the paperSubstantial claim - Findingown data
Women displayed greater left mPFC thickness than men (3.15 ± 0.27 vs 3.07 ± 0.24; t(1048) = 5.23; p < 0.001).
“left mPFC thickness (3.15 ± 0.27 vs 3.07 ± 0.24; t(1048) = 5.23; p < 0.001) relative to men”
Quote in the paperNot a substantial claim - Findingown data
The strongest link, between amygdala volume and medial prefrontal cortex thickness in the high negative affect group, explains roughly 8% of the variance.
“For instance, the relation between negative affect and mPFC thickness accounts for ~1% of the observed variance while the largest association accounts for ~8% (amygdala volume and mPFC thickness in the high negative affect group).”
Quote in the paperNot a substantial claim - Findingown data
Negative affect and medial prefrontal cortex thickness share about 1% of the variance in the sample.
“For instance, the relation between negative affect and mPFC thickness accounts for ~1% of the observed variance while the largest association accounts for ~8% (amygdala volume and mPFC thickness in the high negative affect group).”
Quote in the paperNot a substantial claim - Premisecitation
Disrupted affect and impaired social cognition occur together in disorders marked by amygdala and medial prefrontal abnormalities, such as major depressive disorder.
“Dysregulated affect and impaired social cognition co-occur within disorders marked by abnormalities of the amygdala and mPFC [e.g., major depressive disorder (MDD)]”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Curran et al., 1993
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- cites Drevets et al., 1997
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- cites Hajek et al., 2008
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- Interpretationreasoning
Such variation may influence multiple affective and social functions that depend on amygdala-medial prefrontal circuitry.
“such variation may influence multiple affective and social functions dependent upon amygdala–mPFC circuitry”
Quote in the paperSubstantial claim - Interpretationreasoning
Prior results suggest that polygenic vulnerability for major depressive disorder could be reflected in the structural integrity of the amygdala and/or medial prefrontal cortex even in the general population.
“Collectively, these results suggest that polygenic vulnerability for the onset of MDD could be reflected in the structural integrity of the amygdala and/or mPFC even within the general population”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of healthy young adults is representative of the general healthy population.
- Study design and conductown data
Participants in the polygenic analyses did not significantly differ from the initial sample in self-reported negative affect, social functioning, or emotion perception performance.
“Participants included in the polygenic analyses did not significantly differ from the initial sample in their self-reported negative affect, social functioning, or emotion perception task performance (t < 0.76, p > 0.49).”
Quote in the paperNot a substantial claim - Premisecitation
The amygdala-medial prefrontal circuit contributes to both emotional and social processes.
“A well characterized amygdala–medial prefrontal cortex (mPFC) circuit contributes to both emotional (Davis and Whalen, 2001; Devinsky et al., 1995; Milad and Quirk, 2012; Phelps and LeDoux, 2005) and social processes (Adolphs, 2001; Amodio and Frith, 2006; Phelps, 2006; Van Overwalle, 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Davis and Whalen, 2001
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- cites Devinsky et al., 1995
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- cites Milad and Quirk, 2012
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- Premisecitation
Major depressive disorder is heritable.
“MDD is heritable (Sullivan et al., 2000)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sullivan et al., 2000
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- Premisecitation
Subtle amygdala and medial prefrontal alterations have been observed in healthy people who carry individual genetic variants associated with illness risk.
“Subtle alterations within the amygdala and mPFC have been observed in healthy populations carrying individual genetic variants associated with illness risk”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Canli et al., 2005
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- cites Hariri et al., 2002
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- cites Pezawas et al., 2005
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- Interpretationown data
Individual differences in amygdala-medial prefrontal circuitry may partly arise from common genetic variation that contributes to major depressive disorder risk.
“Individual differences in this circuitry may arise, in part, from common genetic variability that contributes to risk for MDD.”
Quote in the paperSubstantial claim- Rests on an assumption: The measured amygdala volume and medial prefrontal thickness reflect stable individual differences rather than transient states.
- Interpretationown data
An imbalance between amygdala volume and medial prefrontal thickness is linked to negative affect in the general population.
“suggesting that imbalance between these structures is linked to negative affect in the general population”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of healthy young adults is representative of the general healthy population.
- Rests on an assumption: The measured amygdala volume and medial prefrontal thickness reflect stable individual differences rather than transient states.
- Premisecitation
Coordinated reciprocal amygdala-medial prefrontal circuits are necessary for adaptive affect regulation.
“Coordinated and reciprocal amygdala–mPFC circuits are essential for adaptive affect regulation”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Etkin, 2010
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- cites Kim et al., 2011b
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- cites Phelps and LeDoux, 2005
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- Interpretationown data
In the healthy population, there is substantial variability in amygdala-medial prefrontal circuitry that is associated with poor affective and social functioning.
“within the healthy population, there is significant variability in amygdala–mPFC circuitry that is associated with poor functioning across affective and social domains”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of healthy young adults is representative of the general healthy population.
- Rests on an assumption: The measured amygdala volume and medial prefrontal thickness reflect stable individual differences rather than transient states.
- Interpretationown data
Dysregulation of the amygdala-mPFC circuit may also be linked to impairments of social cognition.
“Thus, dysregulation of the amygdala–mPFC circuit may also be linked to impairments of social cognition.”
Quote in the paperSubstantial claim - Interpretationown data
These findings are consistent with the possibility that amygdala-mPFC imbalance is linked to negative affect within the general population.
“These findings are consistent with the possibility that amygdala–mPFC imbalance is linked to negative affect within the general population.”
Quote in the paperSubstantial claim - Interpretationcitation
When considering heritability estimates, this reflects that at least ~4-9% of the phenotypic variance in mPFC thickness can be accounted for by the aggregated effect of common genetic factors, although the estimated effect may be much higher.
“When considering heritability estimates, this reflects that at least ~4–9% of the phenotypic variance in mPFC thickness can be accounted for by the aggregated effect of common genetic factors, although the estimated effect may be much higher (Purcell et al., 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Winkler et al., 2010
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- cites Purcell et al., 2009
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- Interpretationown data
Our findings indicate that shifts in social functioning and personality traits are reflected in the normal anatomical variability of a shared mPFC network.
“Our findings indicate that shifts in social functioning and personality traits are reflected in the normal anatomical variability of a shared mPFC network.”
Quote in the paperSubstantial claim - Interpretationown data
These results provide initial evidence that common polygenic burden is associated with anatomical variability in brain regions believed to influence vulnerability to MDD.
“These results provide initial evidence that common polygenic burden is associated with anatomical variability in brain regions believed to influence vulnerability to MDD.”
Quote in the paperSubstantial claim - Interpretationcitation
It is likely that shared relations between these structures may not be evident in chronic illness due to pathophysiological processes including elevated glucocorticoid secretion and glutamatergic transmission.
“However, it is likely that shared relations between these structures may not be evident in chronic illness due to pathophysiological processes including elevated glucocorticoid secretion and glutamatergic transmission (Price and Drevets, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Price and Drevets, 2010
Not checked in the free run.
- Interpretationreasoning
Genetic vulnerability and life stress converge to impact the integrity of the amygdala-mPFC network.
“Genetic vulnerability and life stress converge to impact the integrity of the amygdala–mPFC network.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kendler et al., 1999 source
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- cites Cook and Wellman, 2004
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- Interpretationown data
Variation in affect, social cognition, and polygenic risk has a neural basis even in clinically healthy people.
“Our data establish the principles that individual differences in affect, social cognition, and polygenic risk are neurally embedded within clinically healthy individuals, that these differences are preferential to specific brain systems, and that the effects go in opposite directions for the amygdala and anatomically-linked cortical networks.”
Quote in the paperSubstantial claim - Interpretationown data
The effects are opposite in direction for the amygdala and the cortical networks connected to it.
“Our data establish the principles that individual differences in affect, social cognition, and polygenic risk are neurally embedded within clinically healthy individuals, that these differences are preferential to specific brain systems, and that the effects go in opposite directions for the amygdala and anatomically-linked cortical networks.”
Quote in the paperSubstantial claim - Interpretationown data
The associations found are probably too weak to serve as individual-level predictors.
“However, the observed associations are likely too small to be useful as predictors for individuals.”
Quote in the paperSubstantial claim - Interpretationown data
Such differences are localized to particular brain systems.
“Our data establish the principles that individual differences in affect, social cognition, and polygenic risk are neurally embedded within clinically healthy individuals, that these differences are preferential to specific brain systems, and that the effects go in opposite directions for the amygdala and anatomically-linked cortical networks.”
Quote in the paperSubstantial claim
- The quote only partly states this claim. 1
- May combine two claims. 39
- Classified as probably not a substantial claim. 39
The quote only partly states this claim.
Findingown dataIn the same sample, higher trait negative affect is associated with thinner left medial prefrontal cortex in a region that includes subgenual and rostral anterior cingulate cortex.
“reduced thickness in a left mPFC region encompassing the subgenual and rostral anterior cingulate cortex”
- Also stated in: § Decreased medial prefrontal thickness is associated with negative affect · plain
“reduced left mPFC thickness was associated with increased negative affect (F(1,1043) = 8.28; p <0.005; r =−0.09; Fig. 2B).”
Quote in the paperSubstantial claim- Also stated in: § Decreased medial prefrontal thickness is associated with negative affect · plain
May combine two claims.
Findingown dataAmong men, negative affect was associated with right amygdala (F(1,475) = 4.11; p < 0.05; r = 0.09) and bilateral hippocampal volumes (left: F(1,475) = 5.17; p < 0.05; r = 0.10; right: F(1,475) = 4.44; p < 0.05; r = 0.10), with no other subcortical structures approaching significance (F < 1.02; p > 0.31; r < 0.05).
“Among men, negative affect was associated with right amygdala (F(1,475) = 4.11; p < 0.05; r = 0.09) and hippocampal volumes (left: F(1,475) = 5.17; p <0.05; r =0.10; right: F(1,475) = 4.44; p < 0.05; r = 0.10). No other subcortical structures approached significance (F < 1.02; p > 0.31; r < 0.05; Fig. 3C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen the sample was split into low, medium, and high negative affect groups, there was no detectable relation between amygdala volume and mPFC thickness for the low (F(1,168) = 1.04; p = 0.31; r = 0.08) or medium groups (F(1,698) < 0.01; p = 0.97; r < −0.01), but an inverse correlation between left amygdala volume and mPFC thickness was evident among individuals with the most extreme negative aff
“When considered in isolation, there was no detectable relation between amygdala volume and mPFC thickness for either the low (F(1,168) = 1.04; p = 0.31; r = 0.08; Fig. 5A) or medium groups (F(1,698) < 0.01; p = 0.97; r < −0.01; Fig. 5B). However, an inverse correlation between left amygdala volume and mPFC thickness was evident among individuals reporting the most extreme negative affect (F(1,163)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the sample, left mPFC thickness was negatively associated with four of the five self-report measures (STAI trait, NEO neuroticism, POMS total mood disturbance, TCI harm avoidance), with F(1,1043) between 4.90 and 7.86, p < 0.05, and r between −0.09 and −0.07; BIS showed a non-significant trend in the same direction.
“The opposing effects in the mPFC were also evident in four of the scales (STAI trait: F(1,1043) = 6.81; p < 0.01; r = −0.08; NEO neuroticism: F(1,1043) = 4.90; p < 0.05; r = −0.07; POMS total mood disturbance: F(1,1043) = 7.86; p < 0.005; r = −0.09; TCI harm avoidance: F(1,1043) = 6.80; p < 0.01; r = −0.08). Although the behavioral inhibition scale did not display a significant relation with mPFC”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter excluding participants with a family history of psychiatric illness (n = 189), the associations between negative affect and both left amygdala volume (F(1,853) = 11.27; p < 0.001; r = 0.11) and mPFC thickness (F(1,854) = 3.88; p < 0.05; r = −0.07) remained.
“Additional analyses were run excluding participants with a family history of psychiatric illness (n = 189). The associations between negative affect with both left amygdala volume (F(1,853) = 11.27; p < 0.001; r = 0.11) and mPFC thickness (F(1,854) = 3.88; p <0.05; r =−0.07) remained.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong women, left hippocampus volume was significantly associated with negative affect (F(1,561) = 6.56; p < 0.01; r = 0.11), with a trend for right amygdala (F(1,561) = 2.80; p = 0.09; r = 0.07), and no other subcortical structures approached significance (F < 2.45; p > 0.12; r < 0.07).
“Among women, the left hippocampus (F(1,561) = 6.56; p < 0.01; r = 0.11) demonstrated a significant relation with negative affect, while a trend emerged in the right amygdala (F(1,561) = 2.80; p = 0.09; r = 0.07). No other subcortical structures approached significance (F < 2.45; p > 0.12; r < 0.07; Fig. 3B).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNo relation was observed between mPFC thickness and the other imputed psychiatric (F < 1.46; p > 0.23; r < 0.06) or non-psychiatric genetic risk scores (F < 1.23; p > 0.26; r < 0.06).
“No relation was observed between mPFC thickness and the other imputed psychiatric (F < 1.46; p > 0.23; r < 0.06) or non-psychiatric genetic risk scores (F < 1.23; p > 0.26; r < 0.06).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the sample, right amygdala volume was positively associated with four of the five self-report measures (NEO neuroticism, BIS, POMS total mood disturbance, TCI harm avoidance), with F(1,1042) between 3.86 and 11.46, p < 0.05, and r between 0.06 and 0.10; STAI trait anxiety showed a non-significant trend in the same direction.
“Increasing right amygdala volume was associated with increased scores on four of the scales (NEO neuroticism: F(1,1042) = 5.13; p <0.05; r =0.07; BIS: F(1,1042) = 3.86; p < 0.05; r = 0.06; POMS total mood disturbance: F(1,1042) = 4.64; p < 0.05; r = 0.07; TCI harm avoidance: F(1,1042) = 11.46; p < 0.001; r = 0.10). STAI trait anxiety displayed a trend in the same direction (F(1,1042) = 3.23; p =0.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataParticipants in the high negative affect group were more likely to report a family history of psychiatric illnesses relative to the low and medium groups.
“Of further note, participants in the high negative affect group were more likely to report a family history of psychiatric illnesses relative to the low and medium groups (Table 3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA rolling correlation across the full sample revealed opposing relations between negative affect and the structure of the left amygdala and cortex, with a robust negative correlation between amygdala volume and mPFC thickness emerging in individuals reporting the most severe negative affect.
“The rolling average revealed opposing relations between negative affect and the structure of the left amygdala and cortex (Fig. 4A). While there was an absence of a cross-structure relation over much of the sample, a robust negative correlation between amygdala volume and mPFC thickness emerged in individuals reporting the most severe negative affect (Fig. 4B, C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCaudate, globus pallidus, nucleus accumbens, putamen, and thalamus volumes are not significantly associated with negative affect.
“The remaining subcortical structures (caudate, globus pallidus, nucleus accumbens, putamen, thalamus) were not significantly associated with negative affect (F < 3.25; p > 0.07; r < 0.06; Fig. 3A).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAfter excluding the extreme subjects from the full sample, the association between negative affect and left amygdala volume remained (F(1,872) = 9.175; p < 0.005; r = 0.10), as did the inverse relation with mPFC thickness (F(1,873) = 5.84; p < 0.05; r = −0.08).
“After excluding these extreme subjects from the full sample, the association between negative affect and left amygdala volume remained (F(1,872) = 9.175; p < 0.005; r = 0.10), as did the inverse relation with mPFC thickness (F(1,873) = 5.84; p < 0.05; r = −0.08).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe inverse relation between left mPFC thickness and negative affect was observed and of similar magnitude for both women (F(1,562) = 5.60; p < 0.05; r = −0.10) and men (F(1,476) = 4.50; p < 0.05; r = −0.10).
“The inverse relation between left mPFC thickness and negative affect was observed and of similar magnitude for both sexes (women, F(1,562) = 5.60; p <0.05; r =−0.10; men, F(1,476) = 4.50; p <0.05; r = −0.10; Fig. 3E, F).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the sample, left amygdala volume was positively associated with each of five self-report measures of negative affect, anxiety, and personality (STAI trait, NEO neuroticism, BIS, POMS total mood disturbance, TCI harm avoidance), with F(1,1042) between 9.71 and 21.51, p < 0.005, and r between 0.09 and 0.14.
“When considering left amygdala volume, increased scores on each scale were associated with increased volume (STAI trait: F(1,1042) = 13.31; p < 0.001; r =0.12; NEO neuroticism: F(1,1042) = 13.98; p <0.001; r =0.12; BIS: F(1,1042) = 9.71; p < 0.005; r = 0.09; POMS total mood disturbance: F(1,1042) = 10.61; p < 0.001; r = 0.11; TCI harm avoidance: F(1,1042) = 21.51; p <0.001; r =0.14).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn this cohort of clinically healthy young adults, negative affect was associated with increased amygdala volume and reduced mPFC thickness.
“Here, we found that negative affect associates with increased amygdala volume and reduced mPFC thickness in a cohort of clinically healthy young adults.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe association between reduced mPFC thickness and increased errors in emotion perception was specific to the neutral (error rate 0.14 ± 0.13; F(1,521) = 15.68; p < 0.001; r = −0.17) and fear (error rate 0.19 ± 0.11; F(1,521) = 5.49; p < 0.05; r = −0.10) conditions, with no other effects reaching significance (anger, happy, sad; p > 0.41, r < 0.04).
“Follow-up analyses revealed that this effect was specific to the neutral (error rate 0.14 ± 0.13; F(1,521) = 15.68; p <0.001; r =−0.17) and fear (error rate 0.19 ± 0.11; F(1,521) = 5.49; p < 0.05; r = −0.10) conditions with no other effects reaching significance (anger, error rate 0.39 ± 0.14; happy, error rate 0.03 ±0.06; and sad, error rate 0.21 ±0.14; p > 0.41, r < 0.04).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter accounting for social functioning, the relation between negative affect and amygdala volume remained for the left (F(1,170) = 4.90; p < 0.05; r = 0.13), but not the right (F(1,170) = 1.18; p = 0.28; r = 0.06), amygdala.
“After accounting for social functioning, the relation between negative affect and amygdala volume remained for the left (F(1,170) = 4.90; p < 0.05; r = 0.13), but not the right (F(1,170) = 1.18; p = 0.28; r = 0.06), amygdala.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhile reduced mPFC thickness is independently present in men and women with increased anxiety, women as a group displayed thicker mPFC and yet heightened anxiety.
“While reduced mPFC thickness is independently present in men and women with increased anxiety, women as a group displayed thicker mPFC and yet heightened anxiety.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNo relation was observed between the polygene MDD factors (PT < 0.1 to 0.5) and negative affect (F < 0.42; p > 0.52; r < 0.03) or amygdala volumes (F < 0.85; p > 0.36; r < 0.04).
“No relation was observed between the polygene MDD factors (PT < 0.1 to 0.5) and negative affect (F < 0.42; p > 0.52; r < 0.03) or amygdala volumes (F < 0.85; p > 0.36; r < 0.04).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMale participants displayed a greater percentage of errors in emotion perception than females (0.19 ± 0.01 vs 0.18 ± 0.01; t(531) = 2.32, p < 0.05), but there were no sex differences in the relations between task performance and mPFC thickness (Z = 1.30, p = 0.19).
“Although male participants displayed a greater percentage of errors in emotion perception than females (0.19 ± 0.01 vs 0.18 ± 0.01; t(531) = 2.32, p < 0.05), there were no sex differences in the relations between task performance and mPFC thickness (Z =1.30, p =0.19).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe association between reduced left mPFC thickness and social functioning was seen in each of the three self-report measures included in the composite: IAS aloof introverted (F(1,200) = 11.93; p < 0.001; r = −0.24), BAPQ aloof personality (F(1,200) = 10.86; p < 0.001; r = −0.23), and RSRI social/school (F(1,200) = 4.31; p < 0.05; r = −0.14).
“This effect was seen in each of the three self-report measures included in the social functioning composite score (IAS aloof introverted: F(1,200) = 11.93; p < 0.001; r = − 0.24; BAPQ aloof personality: F(1,200) = 10.86; p <0.001; r = −0.23; RSRI social/school: F(1,200) = 4.31; p < 0.05; r = −0.14; Fig. 6B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe study's results show associations linking individual variation in affect, social behavior, polygenic depression risk, and structural differences in the amygdala-mPFC network.
“Second, the current findings indicate relations between individual differences in affect, social functioning, polygenic MDD risk, and structural variation within the amygdala–mPFC network.”
- Also stated in: § Caveats · hedged
“Through the use of relatively crude morphometric measures, the present findings suggest how specific neural systems differ in ways that are associated with negative affect, social functioning, and genetic risk.”
Quote in the paperSubstantial claim- Also stated in: § Caveats · hedged
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe social functioning composite had internal consistency between r = 0.50 and 0.75 and Cronbach's alpha of 0.80.
“The social functioning composite score was calculated as the average of the Z-scores for each individual scale (r = 0.50 to 0.75; Cronbach’s α = 0.80).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMedian response time was adjusted for in analyses of errors in emotional perception.
“Median response time was partialed out during analyses of errors in emotional perception.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAbnormalities in medial prefrontal network structure and function have been established in psychiatric disorders other than major depressive disorder, including bipolar disorder, schizophrenia, and ADHD.
“Abnormalities within the structure and function of the mPFC network have been established in a range of psychiatric disorders in addition to MDD”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Drevets et al., 1997
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- cites Phillips and Vieta, 2007
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- cites Price and Drevets, 2010
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Study design and conductown dataPolygenic risk score analyses adjusted for population stratification using the first four MDS factors and for number of nonmissing SNPs.
“we took the additional step of partialing out the variance associated with potential population substratification (the first four MDS factors, C1–C4), and number of nonmissing SNPs.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataReported results adjust for variance associated with collection site and software upgrade.
“Reported results are after partialing out variance associated with site (Harvard Bay 1, MGH Bay 4, MGH Bay 8, etc.) and software upgrade.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone givenMajor depressive disorder is thought to be influenced by many common allelic variants of very small effect.
“thought to be influenced by a large number of common allelic variations of very small effect”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataAmygdala volume analyses adjusted for site, console software version, estimated IQ, age, sex, and intracranial volume.
“These analyses partialed out the variance associated with site, console software version, estimated IQ, age, sex, and ICV and then examined the relation between amygdala volume and negative affect.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataAfter genetic quality control, 442 participants and 763,104 SNPs were retained.
“After QC, data for 442 participants were retained with 763,104 SNPs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIntracranial volume estimates have been validated against manual measurement.
“ICV has also been validated against manual measurement (Buckner et al., 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Buckner et al., 2004
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Study design and conductown dataThe final sample had a total genotyping rate of 99.50%.
“Total genotyping rate for the final sample was 99.50%.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe medial prefrontal cortex and amygdala have reciprocal connections.
“the mPFC and amygdala share reciprocal connections”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Milad and Quirk, 2012
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- cites Phelps and LeDoux, 2005
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- cites Price and Drevets, 2010
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PremisecitationPolygenic vulnerabilities for major depressive disorder have been identified, but their neurobiological influence has not been established.
“Although polygenic vulnerabilities have been identified (Ripke et al., 2012), their neurobiological influence has yet to be established.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ripke et al., 2012
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PremisecitationFreeSurfer-derived structural estimates have been validated against histological analysis and manual measurements.
“The accuracy of FreeSurfer-derived structural estimates have been validated against histological analysis (Rosas et al., 2002) and manual measurements (Kuperberg et al., 2003).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Rosas et al., 2002
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- cites Kuperberg et al., 2003
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Study design and conductown dataIn a supplementary dataset of 91 participants, intracranial volume, amygdala, hippocampus, and medial prefrontal phenotypes showed high test-retest reliability, with r values from 0.76 to 0.99.
“Analyses revealed high test–retest reliability of each of our phenotypes of interest (r = 0.76 to 0.99; Fig. 1).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationAnalyses were restricted to non-Hispanic Caucasians of European ancestry to prevent spurious effects from population admixture and cultural biases in self-reported affect.
“To prevent possible spurious effects resulting from population admixture and cultural biases in self-reported affect (Markus and Kitayama, 1991), analyses were restricted to non-Hispanic Caucasians of European ancestry.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Markus and Kitayama, 1991
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PremisecitationIn healthy people, high anxiety or related behavioral profiles are associated with weaker intrinsic and task-evoked amygdala-medial prefrontal coupling and altered white matter.
“In healthy populations, the strength of intrinsic (Kim et al., 2011a) and task-evoked (Cremers et al., 2010; Pezawas et al., 2005) amygdala–mPFC coupling decreases, and white-matter is altered (Kim and Whalen, 2009) in individuals with high levels of anxiety or related behavioral profiles.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Kim et al., 2011a
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- cites Cremers et al., 2010
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- cites Pezawas et al., 2005
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PremisecitationImputation increases genomic coverage and provides additional support for genotyped-allele-based analysis.
“Imputation increases genomic coverage providing additional support for genotyped-allele-based analysis (de Bakker et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites de Bakker et al., 2008
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PremisecitationCortical thickness and surface area are genetically and phenotypically distinct measures.
“Cortical thickness and surface area, which sum to reflect total gray matter volume, are genetically and phenotypically distinct measures (Panizzon et al., 2009; Winkler et al., 2010).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Panizzon et al., 2009
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- cites Winkler et al., 2010
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Study design and conductown dataThe five negative affect scales showed strong cross-measure correlations, with Cronbach's alpha of 0.84.
“the scales displayed strong cross-measure correlations (Table 1; Cronbach’s α =0.84)”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataMedial prefrontal thickness analyses adjusted for site, console software version, estimated IQ, age, and sex.
“block linear regressions were conducted by first partialing out the variance associated with site, console software version, estimated IQ, age, and sex and then by examining the relation between thickness estimates and the negative affect composite score.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe medial prefrontal effect was established within an a priori defined region.
“As the effect in the mPFC was established within an a priori defined region”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAlthough transient amygdala-mPFC responses can be sex- or individual-specific, the circuit's core role in affective and social processes generalizes across both sexes.
“However, although transient amygdala–mPFC responses can be sex- (or even individual) specific, our findings suggest that the circuit’s core role in affective and social processes generalizes across both sexes.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThis raises the possibility that genetically mediated reductions in mPFC network integrity may contribute to an exaggerated stress response, the exacerbation of stress-induced dendritic remodeling, and heightened negative affect.
“This raises the possibility that genetically mediated reductions in mPFC network integrity may contribute to an exaggerated stress response, the exacerbation of stress-induced dendritic remodeling, and heightened negative affect.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe sgACC participates in the dampening of fear responses as well as the experience and regulation of negative affect.
“The sgACC participates in the dampening of fear responses as well as the experience and regulation of negative affect (Etkin, 2010; Kim et al., 2011b; Phelps and LeDoux, 2005).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Etkin, 2010
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- cites Kim et al., 2011b
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- cites Phelps and LeDoux, 2005
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Interpretationown dataThe largest effects were present in individuals with extreme negative affect, but a relation in the remaining sample should not be ruled out.
“Thus, the results show the largest effects were present in those individuals with extreme negative affect, but also that a relation in the remaining sample should not be ruled out.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningDisrupted mPFC network integrity could result in the perception of emotions in nonemotional stimuli, contributing to the fear and avoidance of social situations.
“Disrupted mPFC network integrity could result in the perception of emotions in nonemotional stimuli, contributing to the fear and avoidance of social situations.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese findings support the hypothesis that amygdala-mPFC circuit dysfunction may set the stage for MDD onset in vulnerable populations and suggest the presence of diagnostic specificity within the neuro-anatomical correlates of polygenic risk.
“These findings support the hypothesis that amygdala–mPFC circuit dysfunction may set the stage for MDD onset in vulnerable populations and suggest the presence of diagnostic specificity within the neuro-anatomical correlates of polygenic risk.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe present findings raise the possibility that imbalance within the basolateral amygdala-mPFC network may underlie dysregulated cortical control over central nucleus output and an associated increase in visceral responsivity.
“The present findings raise the possibility that imbalance within the basolateral amygdala–mPFC network may underlie dysregulated cortical control over central nucleus output and an associated increase in visceral responsivity (Price and Drevets, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Price and Drevets, 2010
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PremisecitationIn rodents, mPFC inputs to the basolateral nucleus and intercalated cells gate basolateral-central amygdala impulse transmission.
“In rodents, mPFC inputs to the basolateral nucleus (al Maskati and Zbrozyna, 1989) and intercalated cells gate basolateral–central amygdala impulse transmission (Milad and Quirk, 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites al Maskati and Zbrozyna, 1989
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- cites Milad and Quirk, 2012
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PremisecitationA failure to modulate hippocampal hyperactivity is hypothesized to result in affective dysregulation.
“While our analyses targeted the amygdala–mPFC network, a failure to modulate hippocampal hyperactivity is also hypothesized to result in affective dysregulation (Mayberg, 1997; Price and Drevets, 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Mayberg, 1997 source
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- cites Price and Drevets, 2010
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PremisecitationAccording to tracing studies in rodents and nonhuman primates, problems with affect and social functioning probably stem from an imbalance between the medial prefrontal cortex and the basolateral amygdala.
“Rodent and nonhuman primate tracing literature suggests impaired affect and reduced social functioning likely result from imbalances between the mPFC and basolateral amygdala.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDrevets et al. (1997) established mPFC gray matter loss in unipolar and bipolar depression.
“In their landmark study, Drevets et al. (1997) established mPFC gray matter loss in unipolar and bipolar depression.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Drevets et al. (1997)
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PremisecitationIn healthy populations, amygdala and hippocampal volumes track each other over the lifespan.
“Consistent with a strong cross-structure correlation within the present sample, in healthy populations, amygdala and hippocampal volumes track each other over the lifespan (Grieve et al., 2005; Mu et al., 1999; Walhovd et al., 2005).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Grieve et al., 2005
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- cites Mu et al., 1999
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- cites Walhovd et al., 2005
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PremisecitationIn rodents, chronic stress results in symptoms characteristic of MDD including anhedonia, changes in weight, sleep disturbances, decreased locomotion, as well as dendritic retraction and synapse loss in the mPFC.
“In rodents, chronic stress results in symptoms characteristic of MDD including anhedonia, changes in weight, sleep disturbances, decreased locomotion (Willner, 1997), as well as dendritic retraction and synapse loss in the mPFC (Cook and Wellman, 2004).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Willner, 1997
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- cites Cook and Wellman, 2004
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PremisecitationAmygdala-mPFC connections are concentrated within the basolateral nucleus.
“Amygdala–mPFC connections are concentrated within the basolateral nucleus (Price and Drevets, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Price and Drevets, 2010
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PremisecitationSubsequent meta-analyses have replicated these mPFC volumetric reductions, predominantly in patients with familial MDD.
“Subsequent meta-analyses have replicated these mPFC volumetric reductions, predominantly in patients with familial MDD (Hajek et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hajek et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere are sex differences in the prevalence of disorders of affect and social functioning.
“There are sex differences in the prevalence of disorders of affect and social functioning (Nolen-Hoeksema and Girgus, 1994).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nolen-Hoeksema and Girgus, 1994
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationRodent and nonhuman primate research implicates the mPFC in social as well as affective, habitual, and evaluative processes.
“Rodent and nonhuman primate research implicates the mPFC in social as well as affective, habitual, and evaluative processes (Devinsky et al., 1995; Graybiel, 2008; Price and Drevets, 2010; Rushworth et al., 2007).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Devinsky et al., 1995
Not checked in the free run.
- cites Graybiel, 2008
Not checked in the free run.
- cites Price and Drevets, 2010
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrior research has suggested the presence of reduced hippocampal formation gray matter in healthy young adults with heightened neuroticism and patients with MDD, although results have been inconsistent.
“Yet prior research has suggested the presence of reduced hippocampal formation gray matter in healthy young adults with heightened neuroticism (DeYoung et al., 2010) and patients with MDD (Bremner et al., 2000), although results have been inconsistent (Price and Drevets, 2010).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites DeYoung et al., 2010
Not checked in the free run.
- cites Bremner et al., 2000
Not checked in the free run.
- cites Price and Drevets, 2010
Not checked in the free run.
May combine two claims.
PremisecitationDecreased social support and neuroticism predict the onset of depressive episodes.
“Decreased social support (Coyne and Downey, 1991; Repetti et al., 2002; Vaughn and Leff, 1976) and neuroticism (Clark et al., 1994), a facet of negative affect, predict the onset of depressive episodes.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Coyne and Downey, 1991
Not checked in the free run.
- cites Repetti et al., 2002
Not checked in the free run.
- cites Vaughn and Leff, 1976
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDepression is associated with decreased left mPFC gray matter.
“Depression is associated with decreased left mPFC gray matter (Hajek et al., 2008; Price and Drevets, 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hajek et al., 2008
Not checked in the free run.
- cites Price and Drevets, 2010
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn rodents, repeated stress results in dendritic atrophy and reduced glial cell counts in hippocampal regions as well as increased dendritic branching in the basolateral amygdala.
“In rodents, repeated stress results in dendritic atrophy and reduced glial cell counts in hippocampal regions (McEwen and Magarinos, 2001) as well as increased dendritic branching in the basolateral amygdala (Vyas et al., 2002).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites McEwen and Magarinos, 2001
Not checked in the free run.
- cites Vyas et al., 2002 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe central nucleus plays a role in the modulation of autonomic and endocrine responses for a host of visceral functions.
“The central nucleus plays a role in the modulation of autonomic and endocrine responses for a host of visceral functions (LeDoux, 2000, 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites LeDoux, 2000, 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe relation between psychological health and social functioning is well established.
“The relation between psychological health and social functioning is well established (Coyne and Downey, 1991; Repetti et al., 2002; Vaughn and Leff, 1976).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Coyne and Downey, 1991
Not checked in the free run.
- cites Repetti et al., 2002
Not checked in the free run.
- cites Vaughn and Leff, 1976
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAbnormalities within the structure and function of the mPFC have been established in a range of psychiatric disorders.
“Abnormalities within the structure and function of the mPFC have been established in a range of psychiatric disorders.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataA compromised amygdala-mPFC circuit, found in many healthy young adults, might at the same time be linked to emotional difficulties, poorer social functioning, and polygenic risk for major depressive disorder.
“These results indicate that compromised amygdala–mPFC circuitry, which is present in a considerable percentage of healthy young adults, may simultaneously relate to emotional impairments, reduced social functioning, and polygenic vulnerability for the onset of MDD.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn healthy populations, women and men exhibit differential hemodynamic responses to affective and social stimuli.
“In healthy populations, women and men exhibit differential hemodynamic responses to affective and social stimuli (Cahill, 2006; Koch et al., 2007; McRae et al., 2008; Thomas et al., 2001; But see, Wager et al., 2003).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Cahill, 2006
Not checked in the free run.
- cites Koch et al., 2007
Not checked in the free run.
- cites McRae et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMDD is not purely genetic in origin, and stressful life events contribute to the occurrence of depressive episodes.
“However, MDD is not purely genetic in origin, and stressful life events contribute to the occurrence of depressive episodes (Kendler et al., 1999).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kendler et al., 1999 source
Not checked in the free run.
The paper relies on this without support.
The sample of healthy young adults is representative of the general healthy population.
“in a sample of 1050 healthy young adults with no history of psychiatric illness”
“within the healthy population”
The paper relies on this without support.
The measured amygdala volume and medial prefrontal thickness reflect stable individual differences rather than transient states.
“structural correlates of trait negative affect”
“Individual differences in this circuitry”
The paper relies on this without support.
The self-report measures used to index negative affect, social functioning, and personality are valid measures of the constructs they purport to measure.
“five included self-report measures of affect, anxiety, and personality”
The paper relies on this without support.
The polygenic risk scores for MDD derived from prior GWAS are valid and applicable to this sample.
“five polygenic scores for depression derived at thresholds of varying association stringency from prior case control GWAS analyses”
The paper relies on this without support.
The FreeSurfer parcellation of the rACC corresponds to the mPFC region implicated in negative affect.
“when considering the FreeSurfer defined parcelation of the rACC”
The paper relies on this without support.
The cross-sectional anatomical associations reflect stable individual differences rather than transient states.
“morphometric estimates are likely insensitive to the associated subtle state dependent shifts in brain function”
The paper relies on this without support.
The sample of clinically healthy young adults is appropriate for studying vulnerability to MDD.
“cohort of clinically healthy young adults”
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?
Some studies indicate that these structural changes may represent a pre-existing vulnerability to a major depressive episode, especially in people with particular genetic profiles or early life stress histories.
“several other studies have found that these structural changes may reflect a pre-existing vulnerability to a MDE, particularly for individuals with certain genetic profiles and/or early life stress (ELS) histories (39–45).”
From The Impact of Stress and Major Depressive Disorder on Hippocampal and Medial Prefrontal Cortex Morphology (2019) · cites this paper as [43]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentz = 1.17reported p = .24 · recomputed p = .242
“(Z = 1.17, p = .24”
- Consistentz = 3.34reported p < .001 · recomputed p < .001
“(Z = 3.34, p < .001”
- Consistentz = 3.29reported p < .001 · recomputed p = .001
“(Z = 3.29, p < .001”
- Consistentt(204) = 3.1reported p < .005 · recomputed p = .002
“t(204) = 3.10, p < .005”
- Consistentz = 0.49reported p = .62 · recomputed p = .624
“(Z = 0.49, p = .62”
- Consistentt(531) = 2.32reported p < .05 · recomputed p = .021
“t(531) = 2.32, p < .05”
- Consistentz = 1.3reported p = .19 · recomputed p = .194
“(Z =1.30, p = .19”
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.
Social-functioning comparison reverses the score's direction
MinorThe social composite measures withdrawal and impairment, so a higher score indicates poorer functioning. The reported comparison assigns men −0.12 and women 0.26, which indicates better-not worse-functioning among men.
“While male participants reported lower social functioning than females (−0.12 ± 0.86 vs 0.26 ± 0.78; t(204) = 3.10, p < 0.005)”
“Social proficiency was assessed through three scales of current and retrospective impairments in social functioning, including measures of social detachment, decreased social motivation, and social avoidance.”
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Neurocircuitry of Mood Disorders
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“Consistent with a role in the modulation of affective and visceral functions, the mPFC and amygdala share reciprocal connections (Milad and Quirk, 2012; Phelps and LeDoux, 2005; Price and Drevets, 2010).”
BackgroundThe neurobiology of social cognition
Adolphs, R. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00202-6 · Cited by 1,432 · cited 3× · see citing works
“While these constructs are often discussed within separate literatures, they may directly or indirectly rely on overlapping neural systems (Adolphs, 2001; Ochsner, 2008; Olsson and Ochsner, 2008).”
BackgroundPsychiatric GWAS Consortium Bipolar Disorder Working Group, Sklar, P., Ripke, S., Scott, L. J., Andreassen, O. A., Cichon, S., Craddock, N., Edenberg, H. J., Nurnberger, J. I., Rietschel, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.943 · Cited by 1,344 · cited 2× · see citing works
“…the specificity of polygenic effects on amygdala/mPFC structure, additional polygenic risk scores were derived from PGC GWASs of bipolar disorder (Sklar et al., 2011), ADHD (Neale et al., 2010), schizophrenia (Ripke et al., 2011), as well as nonpsychiatric illnesses including coronary artery…”
Self-citationHankin, B. L., & Abramson, L. Y. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.6.773 · Cited by 1,343 · cited 1× · see citing works
“Men and women react differently to environmental stressors (Hankin and Abramson, 2001) and morphometric estimates are likely insensitive to the associated subtle state dependent shifts in brain function.”
BackgroundDistinct Genetic Influences on Cortical Surface Area and Cortical Thickness
Panizzon, M. S., Fennema-Notestine, C., Eyler, L. T., Jernigan, T. L., Prom-Wormley, E., Neale, M., Jacobson, K., Lyons, M. J., Grant, M. D., Franz, C. E., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp026 · Cited by 1,304 · cited 1× · see citing works
“Cortical thickness and surface area, which sum to reflect total gray matter volume, are genetically and phenotypically distinct measures (Panizzon et al., 2009; Winkler et al., 2010).”
BackgroundBuckner, R. L., Head, D. M., Parker, J. B., Fotenos, A. F., Marcus, D. S., Morris, J. C., & Snyder, A. Z. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.018 · Cited by 1,290 · see citing works
Self-citationWinkler, A. M., Kochunov, P., Blangero, J., Almasy, L., Zilles, K., Fox, P. T., Duggirala, R., & Glahn, D. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.028 · Cited by 1,172 · cited 1× · see citing works
“Cortical thickness and surface area, which sum to reflect total gray matter volume, are genetically and phenotypically distinct measures (Panizzon et al., 2009; Winkler et al., 2010).”
BackgroundToward a consensual structure of mood
Watson, D., & Tellegen, A. (1985) · Psychological Bulletin · doi:10.1037//0033-2909.98.2.219 · Cited by 1,170 · see citing works
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
Wager, T. D., Phan, K. L., Liberzon, I., & Taylor, S. F. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00078-8 · Cited by 1,150 · cited 1× · see citing works
“Consistent with a strong cross-structure correlation within the present sample, in healthy populations, amygdala and hippocampal volumes track each other over the lifespan (Grieve et al., 2005; Mu et al., 1999; Walhovd et al., 2005).”
BackgroundA mega-analysis of genome-wide association studies for major depressive disorder
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.21 · Cited by 1,120 · see citing works
Self-citationRegional and progressive thinning of the cortical ribbon in Huntington’s disease
Rosas, H. D., Liu, A. K., Hersch, S., Glessner, M., Ferrante, R. J., Salat, D. H., van der Kouwe, A., Jenkins, B. G., Dale, A. M., & Fischl, B. (2002) · Neurology · doi:10.1212/wnl.58.5.695 · Cited by 1,044 · see citing works
Testing Predictions From Personality Neuroscience: Brain Structure and the Big Five
DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., & Gray, J. R. (2010) · Psychological Science · doi:10.1177/0956797610370159 · Cited by 995 · cited 2× · see citing works
“Yet prior research has suggested the presence of reduced hippocampal formation gray matter in healthy young adults with heightened neuroticism (DeYoung et al., 2010) and patients with MDD (Bremner et al.”
Gender Differences in Emotion Regulation: An fMRI Study of Cognitive Reappraisal
McRae, K., Ochsner, K. N., Mauss, I. B., Gabrieli, J. J. D., & Gross, J. J. (2008) · Group Processes & Intergroup Relations · doi:10.1177/1368430207088035 · Cited by 910 · cited 2× · see citing works
“In healthy populations, women and men exhibit differential hemodynamic responses to affective and social stimuli (Cahill, 2006; Koch et al., 2007; McRae et al., 2008; Thomas et al., 2001; But see, Wager et al., 2003).”
BackgroundRegionally Localized Thinning of the Cerebral Cortex in Schizophrenia
Kuperberg, G. R., Broome, M. R., McGuire, P. K., David, A. S., Eddy, M., Ozawa, F., Goff, D., West, W. C., Williams, S. C. R., van der Kouwe, A. J. W., et al. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.9.878 · Cited by 843 · see citing works
Kim, M. J., Loucks, R. A., Palmer, A. L., Brown, A. C., Solomon, K. M., Marchante, A. N., & Whalen, P. J. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.04.025 · Cited by 838 · cited 3× · see citing works
“Coordinated and reciprocal amygdala–mPFC circuits are essential for adaptive affect regulation (Etkin, 2010; Kim et al., 2011b; Received May 24, 2012; revised Sept. 19, 2012; accepted Sept. 22, 2012.”
BackgroundLarge-scale brain systems in ADHD: beyond the prefrontal–striatal model
Castellanos, F. X., & Proal, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.007 · Cited by 831 · cited 7× · see citing works
“…bipolar disorder (Drevets et al., 1997; Phillips and Vieta, 2007; Price and Drevets, 2010; Savitz and Drevets, 2009a; Strakowski et al., 1999), schizophrenia (Benes, 2000; Koo et al., 2008; Shenton et al., 2001; Williams et al., 2004), and ADHD (Castellanos and Proal, 2012; Seidman et al., 2006)].”
BackgroundInfluentialSocial Factors And Psychopathology: Stress, Social Support, And Coping Processes
Coyne, J. C., & Downey, G. (1991) · Annual Review of Psychology · doi:10.1146/annurev.ps.42.020191.002153 · Cited by 831 · cited 3× · see citing works
“Decreased social support (Coyne and Downey, 1991; Repetti et al., 2002; Vaughn and Leff, 1976) and neuroticism (Clark et al.”
BackgroundRegionally localized thinning of the cerebral cortex in schizophrenia
Kuperberg, G. R., Broome, M. R., McGuire, P. K., David, A. S., Eddy, M., Ozawa, F., GOFF, D. C., West, W. C., Williams, S., van der Kouwe, A. J. W., et al. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(03)81127-1 · Cited by 758 · cited 1× · see citing works
“The accuracy of FreeSurfer-derived structural estimates have been validated against histological analysis (Rosas et al., 2002) and manual measurements (Kuperberg et al., 2003).”
MethodChronic stress alters dendritic morphology in rat medial prefrontal cortex
Cook, S. C., & Wellman, C. L. (2004) · Journal of Neurobiology · doi:10.1002/neu.20025 · Cited by 750 · cited 1× · see citing works
“In rodents, chronic stress results in symptoms characteristic of MDD including anhedonia, changes in weight, sleep disturbances, decreased locomotion (Willner, 1997), as well as dendritic retraction and synapse loss in the mPFC (Cook and Wellman, 2004).”
BackgroundThe Broad Autism Phenotype Questionnaire
Hurley, R. S. E., Losh, M. C., Parlier, M., Reznick, J. S., & Piven, J. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-006-0299-3 · Cited by 669 · cited 4× · see citing works
“…personality component of the Broad Autism Phenotype Questionnaire (BAPQ), which measures lack of interest in or enjoyment of social interactions (Hurley et al., 2007); and the social/ school factor from the Retrospective Self-Report of Inhibition (RSRI), a recall measure of temperamental…”
BackgroundInfluentialEffects of age on volumes of cortex, white matter and subcortical structures
Walhovd, K. B., Fjell, A. M., Reinvang, I., Lundervold, A., Dale, A. M., Eilertsen, D. E., Quinn, B. T., Salat, D. H., Makris, N., & Fischl, B. R. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.05.020 · Cited by 647 · cited 2× · see citing works
“Consistent with a strong cross-structure correlation within the present sample, in healthy populations, amygdala and hippocampal volumes track each other over the lifespan (Grieve et al., 2005; Mu et al., 1999; Walhovd et al., 2005).”
BackgroundChapter 4 Affect as a Psychological Primitive
Barrett, L. F., & Bliss‐Moreau, E. (2009) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)00404-8 · Cited by 621 · cited 1× · see citing works
“The present analyses incorporated five self-report measures associated with the experience of negative affect (Barrett and Bliss-Moreau, 2009; Watson and Tellegen, 1985; Watson et al., 1999).”
Brain Magnetic Resonance Imaging of Structural Abnormalities in Bipolar Disorder
Strakowski, S. M., DelBello, M. P., Sax, K. W., Zimmerman, M. E., Shear, P. K., Hawkins, J. M., & Larson, E. R. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.3.254 · Cited by 619 · cited 2× · see citing works
“…in addition to MDD [e.g., bipolar disorder (Drevets et al., 1997; Phillips and Vieta, 2007; Price and Drevets, 2010; Savitz and Drevets, 2009a; Strakowski et al., 1999), schizophrenia (Benes, 2000; Koo et al., 2008; Shenton et al., 2001; Williams et al., 2004), and ADHD (Castellanos and…”
BackgroundPsychometric and Geometric Characteristics of the Revised Interpersonal Adjective Scales (IAS-R)
Wiggins, J. S., Trapnell, P. D., & Phillips, N. (1988) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2304_8 · Cited by 589 · cited 4× · see citing works
“These include the aloof-introverted subscale from the Interpersonal Adjective Scales (Wiggins et al., 1988), the aloof personality component of the Broad Autism Phenotype Questionnaire (Hurley et al.”
BackgroundMethodInfluentialJovicich, J., Czanner, S., Han, X., Salat, D. H., van der Kouwe, A. J. W., Quinn, B. T., Pacheco, J., Albert, M., Killiany, R., & Blacker, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.010 · Cited by 549 · see citing works
Practical aspects of imputation-driven meta-analysis of genome-wide association studies
de Bakker, P. I. W., Ferreira, M. A. R., Jia, X., Neale, B. M., Raychaudhuri, S., & Voight, B. F. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn288 · Cited by 531 · cited 1× · see citing works
“Imputation increases genomic coverage providing additional support for genotyped-allele-based analysis (de Bakker et al., 2008).”
BackgroundEmerging principles of altered neural circuitry in schizophrenia
Benes, F. (2000) · Brain Research Reviews · doi:10.1016/s0165-0173(99)00041-7 · Cited by 513 · cited 2× · see citing works
“…bipolar disorder (Drevets et al., 1997; Phillips and Vieta, 2007; Price and Drevets, 2010; Savitz and Drevets, 2009a; Strakowski et al., 1999), schizophrenia (Benes, 2000; Koo et al., 2008; Shenton et al., 2001; Williams et al., 2004), and ADHD (Castellanos and Proal, 2012; Seidman et al., 2006)].”
BackgroundContrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour
Rushworth, M. F. S., Behrens, T. E. J., Rudebeck, P. H., & Walton, M. E. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.01.004 · Cited by 507 · see citing works
Bipolar and major depressive disorder: Neuroimaging the developmental-degenerative divide
Savitz, J., & Drevets, W. C. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.01.004 · Cited by 494 · see citing works
Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies
Hamilton, J. P., Siemer, M., & Gotlib, I. H. (2008) · Molecular Psychiatry · doi:10.1038/mp.2008.57 · Cited by 492 · cited 1× · see citing works
“Similar inconsistencies have been observed when considering amygdala volumes, which are likely increased early in the course of illness, with only chronically ill patients exhibiting decreased volumes (Hamilton et al., 2008).”
BackgroundAmygdala response to facial expressions in children and adults.
Thomas, K. M., Drevets, W. C., Whalen, P. J., Eccard, C. H., Dahl, R. E., Ryan, N. D., & Casey, B. J. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01066-0 · Cited by 470 · cited 1× · see citing works
“In healthy populations, women and men exhibit differential hemodynamic responses to affective and social stimuli (Cahill, 2006; Koch et al., 2007; McRae et al., 2008; Thomas et al., 2001; But see, Wager et al., 2003).”
BackgroundMeta-Analysis of Genome-Wide Association Studies of Attention-Deficit/Hyperactivity Disorder
Neale, B. M., Medland, S. E., Ripke, S., Asherson, P., Franke, B., Lesch, K.-P., Faraone, S. V., Nguyen, T. T., Schäfer, H., Holmans, P., et al. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.06.008 · Cited by 450 · cited 8× · see citing works
“, 2011), ADHD (Neale et al., 2010), schizophrenia (Ripke et al.”
InfluentialBremner, J. D., Innis, R. B., Southwick, S. M., Staib, L. H., Zoghbi, S. S., & Charney, D. S. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.7.1120 · Cited by 449 · cited 1× · see citing works
“Yet prior research has suggested the presence of reduced hippocampal formation gray matter in healthy young adults with heightened neuroticism (DeYoung et al., 2010) and patients with MDD (Bremner et al., 2000), although results have been inconsistent (Price and Drevets, 2010).”
BackgroundThe structural integrity of an amygdala-prefrontal pathway predicts trait anxiety
Kim, M. J., & Whalen, P. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2335-09.2009 · Cited by 433 · see citing works
Kim, M. J., Gee, D. G., Loucks, R. A., Davis, F. C., & Whalen, P. J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq237 · Cited by 388 · cited 3× · see citing works
“Coordinated and reciprocal amygdala–mPFC circuits are essential for adaptive affect regulation (Etkin, 2010; Kim et al., 2011b; Received May 24, 2012; revised Sept. 19, 2012; accepted Sept. 22, 2012.”
BackgroundSeidman, L. J., Valera, E. M., Makris, N., Monuteaux, M. C., Boriel, D., Kelkar, K., Kennedy, D. N., Caviness, V. S., Bush, G., Aleardi, M., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.04.031 · Cited by 378 · cited 1× · see citing works
“…bipolar disorder (Drevets et al., 1997; Phillips and Vieta, 2007; Price and Drevets, 2010; Savitz and Drevets, 2009a; Strakowski et al., 1999), schizophrenia (Benes, 2000; Koo et al., 2008; Shenton et al., 2001; Williams et al., 2004), and ADHD (Castellanos and Proal, 2012; Seidman et al., 2006)].”
BackgroundVolumetric reduction in left subgenual prefrontal cortex in early onset depression
Botteron, K. N., Raichle, M. E., Drevets, W. C., Heath, A. C., & Todd, R. D. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01280-x · Cited by 371 · cited 2× · see citing works
“While these reductions intensify over time in patients with psychotic mood disorders (Koo et al., 2008) and non-remitters (Frodl et al., 2008), they are immediately evident following initial diagnosis (Botteron et al., 2002) and in children with a family history of MDD (Boes et al., 2008).”
BackgroundDepression-Related Variation in Brain Morphology Over 3 Years: Effects of Stress?
Frodl, T. S., Koutsouleris, N., Bottlender, R., Born, C., Jäger, M., Scupin, I., Reiser, M., Möller, H.-J., & Meisenzahl, E. M. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.10.1156 · Cited by 359 · cited 2× · see citing works
“While these reductions intensify over time in patients with psychotic mood disorders (Koo et al., 2008) and non-remitters (Frodl et al., 2008), they are immediately evident following initial diagnosis (Botteron et al., 2002) and in children with a family history of MDD (Boes et al., 2008).”
BackgroundCanli, T., Omura, K., Haas, B. W., Fallgatter, A. J., Constable, R. T., & Lesch, K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503880102 · Cited by 353 · cited 3× · see citing works
“, 1998) and individuals carrying specific genetic variants associated with increased illness risk (Canli et al., 2005; Pezawas et al., 2005; Savitz and Drevets, 2009b).”
BackgroundStress and hippocampal plasticity: implications for the pathophysiology of affective disorders
McEwen, B. S., & Magarinos, A. M. (2001) · Human Psychopharmacology: Clinical and Experimental · doi:10.1002/hup.266 · Cited by 349 · cited 2× · see citing works
“In rodents, repeated stress results in dendritic atrophy and reduced glial cell counts in hippocampal regions (McEwen and Magarinos, 2001) as well as increased dendritic branching in the basolateral amygdala (Vyas et al., 2002).”
BackgroundDysregulation of Arousal and Amygdala-Prefrontal Systems in Paranoid Schizophrenia
Williams, L. M., Das, P., Harris, A. W. F., Liddell, B. B., Brammer, M. J., Olivieri, G., Skerrett, D., Phillips, M. L., David, A. S., Peduto, A., et al. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.3.480 · Cited by 337 · cited 2× · see citing works
“…bipolar disorder (Drevets et al., 1997; Phillips and Vieta, 2007; Price and Drevets, 2010; Savitz and Drevets, 2009a; Strakowski et al., 1999), schizophrenia (Benes, 2000; Koo et al., 2008; Shenton et al., 2001; Williams et al., 2004), and ADHD (Castellanos and Proal, 2012; Seidman et al., 2006)].”
BackgroundOchsner, K. N. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.04.024 · Cited by 300 · see citing works
Gender differences in the cognitive control of emotion: an fMRI study.
Koch, K., Pauly, K., Kellermann, T., Seiferth, N. Y., Reske, M., Backes, V., Stöcker, T., Shah, N. J., Amunts, K., Kircher, T., et al. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.04.012 · Cited by 293 · cited 1× · see citing works
“In healthy populations, women and men exhibit differential hemodynamic responses to affective and social stimuli (Cahill, 2006; Koch et al., 2007; McRae et al., 2008; Thomas et al., 2001; But see, Wager et al., 2003).”
BackgroundPreservation of limbic and paralimbic structures in aging
Grieve, S. M., Clark, C. R., Williams, L. M., Peduto, A. J., & Gordon, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20115 · Cited by 293 · cited 2× · see citing works
“Consistent with a strong cross-structure correlation within the present sample, in healthy populations, amygdala and hippocampal volumes track each other over the lifespan (Grieve et al., 2005; Mu et al., 1999; Walhovd et al., 2005).”
BackgroundThe role of social cognition in emotion
Olsson, A., & Ochsner, K. N. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.11.010 · Cited by 289 · cited 2× · see citing works
“While these constructs are often discussed within separate literatures, they may directly or indirectly rely on overlapping neural systems (Adolphs, 2001; Ochsner, 2008; Olsson and Ochsner, 2008).”
BackgroundCremers, H. R., Demenescu, L. R., Aleman, A., Renken, R., van Tol, M.-J., van der Wee, N. J. A., Veltman, D. J., & Roelofs, K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.023 · Cited by 288 · cited 1× · see citing works
“, 2011a) and task-evoked (Cremers et al., 2010; Pezawas et al., 2005) amygdala–mPFC coupling decreases, and white-matter is altered (Kim and Whalen, 2009) in individuals with high levels of anxiety or related behavioral profiles.”
BackgroundFunctional neuroanatomy of anxiety: a neural circuit perspective
Etkin, A. (2009) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2009_5 · Cited by 227 · see citing works
Risky families: Family social environments and the mental and physical health of offspring.
Repetti, R. L., Taylor, S. E., & Seeman, T. E. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.2.230 · Cited by 225 · see citing works
Imaging phenotypes of major depressive disorder: genetic correlates
Savitz, J. B., & Drevets, W. C. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.03.082 · Cited by 216 · see citing works
Scan–rescan reliability of subcortical brain volumes derived from automated segmentation
Morey, R. A., Selgrade, E. S., Wagner, H. R., Huettel, S. A., Wang, L., & McCarthy, G. (2010) · Human Brain Mapping · doi:10.1002/hbm.20973 · Cited by 210 · see citing works
Identifying Functional Neuroimaging Biomarkers of Bipolar Disorder: Toward DSM-V
Phillips, M. L., & Vieta, E. (2007) · Schizophrenia Bulletin · doi:10.1093/schbul/sbm060 · Cited by 193 · cited 3× · see citing works
“This is perhaps most evident in affective illnesses where disrupted mPFC function is theorized to underlie the occurrence of depressive and manic episodes (Mayberg, 1997; Phillips et al., 2003; Phillips and Vieta, 2007; Price and Drevets, 2010).”
BackgroundMu, Q., Xie, J., Wen, Z., Weng, Y., & Shuyun, Z. (1999) · PubMed Central · Cited by 189 · see citing works
Koo, M.-S., Levitt, J. J., Salisbury, D. F., Nakamura, M., Shenton, M. E., & McCarley, R. W. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.7.746 · Cited by 175 · cited 4× · see citing works
“While these reductions intensify over time in patients with psychotic mood disorders (Koo et al., 2008) and non-remitters (Frodl et al., 2008), they are immediately evident following initial diagnosis (Botteron et al., 2002) and in children with a family history of MDD (Boes et al., 2008).”
BackgroundInfluentialReznick, J. S., Hegeman, I. M., Kaufman, E. R., Woods, S. W., & Jacobs, M. (1992) · Development and Psychopathology · doi:10.1017/s095457940000016x · Cited by 159 · cited 2× · see citing works
“, 2007); and the social/ school factor from the Retrospective Self-Report of Inhibition (RSRI), a recall measure of temperamental restraint across childhood social situations (Reznick et al., 1992).”
BackgroundRostral Anterior Cingulate Cortex Volume Correlates with Depressed Mood in Normal Healthy Children
Boes, A. D., McCormick, L. M., Coryell, W. H., & Nopoulos, P. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.07.018 · Cited by 139 · cited 2× · see citing works
“While these reductions intensify over time in patients with psychotic mood disorders (Koo et al., 2008) and non-remitters (Frodl et al., 2008), they are immediately evident following initial diagnosis (Botteron et al., 2002) and in children with a family history of MDD (Boes et al., 2008).”
BackgroundAmygdala response to facial expressions in children and adults
Thomas, K. M., Eccard, C. H., Drevets, W. C., Dahl, R. E., Whalen, P. J., Perrett, D. I., Ryan, N. D., & Casey, B. J. (2000) · NeuroImage · doi:10.1016/s1053-8119(00)91180-7 · Cited by 131 · see citing works
CNTRICS Final Task Selection: Social Cognitive and Affective Neuroscience-Based Measures
Carter, C. S., Barch, D. M., Gur, R. E., Gur, R. E., Pinkham, A. E., & Ochsner, K. N. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn157 · Cited by 127 · cited 1× · see citing works
“…Activation Scale (BIS/BAS) that indexes feelings of fear, anxiety, and frustration as well as sadness in response to the experience of these cues (Carver and White, 1994); the total mood disturbance score from the Profile of Mood States (POMS), which evaluates feelings of anger, depression,…”
Reduced subgenual cingulate volumes in mood disorders: a meta-analysis
Hájek, T., Kožený, J., Kopeček, M., Alda, M., & Höschl, C. (2008) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0811 · Cited by 124 · cited 5× · see citing works
“…depressive disorder Consistent with evidence of dysfunction within the left mPFC in patient populations (Curran et al., 1993; Drevets et al., 1997; Hajek et al., 2008; Mayberg, 1997; Price and Drevets, 2010; Savitz and Drevets, 2009b), heightened polygenetic MDD risk (PT 0.5) was associated with…”
BackgroundInfluentialConnectivity-based segmentation of human amygdala nuclei using probabilistic tractography
Saygin, Z. M., Osher, D. E., Augustinack, J. C., Fischl, B. R., & Gabrieli, J. D. E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.006 · Cited by 123 · cited 1× · see citing works
“Subsequent work in humans, potentially leveraging diffusion-based tractographic segmentation (Saygin et al., 2011), will be necessary to explore these relations with more anatomical precision.”
BackgroundAl-Maskati, H. A., & Zbrożyna, A. W. (1989) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(89)90084-2 · Cited by 76 · see citing works
Curran, S., Murray, C. M., Beck, M. V., Dougall, N. J., O’Carroll, R. E., Austin, M., Ebmeier, K. P., & Goodwin, G. M. (1993) · The British Journal of Psychiatry · doi:10.1192/bjp.163.2.155 · Cited by 75 · cited 3× · see citing works
“Decreased medial prefrontal thickness is associated with polygenic vulnerability for major depressive disorder Consistent with evidence of dysfunction within the left mPFC in patient populations (Curran et al., 1993; Drevets et al., 1997; Hajek et al., 2008; Mayberg, 1997; Price and Drevets, 2010; Savitz and Drevets,…”
BackgroundAlmeida, J. R. C. D., Kronhaus, D. M., Sibille, E. L., Langenecker, S. A., Versace, A., LaBarbara, E. J., & Phillips, M. L. (2011) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00069 · Cited by 64 · see citing works
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Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects
Marshall, C. R., Howrigan, D. P., Merico, D., Thiruvahindrapuram, B., Wu, W., Greer, D. S., Antaki, D., Shetty, A., Holmans, P. A., Pinto, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3725 · Cited by 1,058 · see citing works
“It is important to address the low power of CNV studies with larger samples given that this type of mutation has already proven useful for highlighting some aspects of SCZ related biology 6, 10–13 .”
Self-citationThe ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9269-5 · Cited by 838 · see citing works
“In a recent GWAS analysis, Holmes et al. (2012) showed high reliability for automated brain volumes of hippocampus ( r =.98), amygdala ( r =.91), and intracranial volume ( r =.99) for a cohort of data collected across investigators and matched scanners.”
Self-citationThe Nature, Diagnosis, and Treatment of Neuroticism: Back to the Future
Barlow, D. H., Sauer-Zavala, S., Carl, J. R., Bullis, J. R., & Ellard, K. K. (2014) · Clinical Psychological Science · doi:10.1177/2167702613505532 · Cited by 850 · see citing works
“…stress disorder (Shin et al., 2005), generalized anxiety disorder (Etkin, Prater, Hoeft, Menon, & Schatzberg, 2010; Hoehn-Saric, Schlund, & Wong, 2004; Paulesu et al., 2010), specific phobia (Paquette et al., 2003; Straube, Mentzel, & Miltner, 2006), and depression (Holmes et al., 2012).”
Research Review: Polygenic methods and their application to psychiatric traits
Wray, N. R., Lee, S., Mehta, D., Vinkhuyzen, A. A. E., Dudbridge, F., & Middeldorp, C. M. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12295 · Cited by 657 · see citing works
Belleau, E. L., Treadway, M. T., & Pizzagalli, D. A. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.031 · Cited by 550 · see citing works
Holmes, A. J., Hollinshead, M. O., O’Keefe, T. M., Petrov, V. I., Fariello, G., Wald, L. L., Fischl, B. R., Rosen, B. R., Mair, R. W., Roffman, J. L., et al. (2015) · Scientific Data · doi:10.1038/sdata.2015.31 · Cited by 436 · see citing works
Self-citation50 years of hurdles and hope in anxiolytic drug discovery
Griebel, G., & Holmes, A. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4075 · Cited by 414 · see citing works
Self-citationTreadway, M. T., Waskom, M. L., Dillon, D. G., Holmes, A. J., Park, M. T. M., Chakravarty, M. M., Dutra, S. J., Polli, F. E., Iosifescu, D. V., Fava, M., et al. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.06.018 · Cited by 331 · see citing works
“Consistent with this latter interpretation, similar patterns of cortical thinning in mPFC have been observed in individuals with no history of depression with elevated polygenic risk for MDD (24).”
Self-citationPrenatal maternal depression alters amygdala functional connectivity in 6-month-old infants
Qiu, A., Anh, T. T., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B. F. P., Kwek, K., Saw, S.-M., Chong, Y.-S., Gluckman, P. D., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.3 · Cited by 282 · see citing works
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling
Puonti, O., Iglesias, J. E., & Leemput, K. V. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.011 · Cited by 255 · see citing works
“The fourth and fi nal test dataset consists of 40 healthy subjects scanned at two different time points at different facilities, with scan intervals ranging from 2 days to six months, amounting to a total of 80 T1-and T2-weighted scans for the whole dataset (Holmes et al., 2012).”
BackgroundQin, S., Young, C. B., Duan, X., Chen, T., Supekar, K., & Menon, V. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.10.006 · Cited by 249 · see citing works
“Altogether, our findings suggest that amygdala hyperconnectivity in anxious children has a neuroanatomical profile similar to those seen in adults with high anxiety (17,18) or anxiety disorders (39,46).”
BackgroundResultCarlucci, L., Saggino, A., & Balsamo, M. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.101999 · Cited by 234 · see citing works
Early-life adversity and brain development: Is the microbiome a missing piece of the puzzle?
O’Mahony, S. M., Clarke, G., Dinan, T. G., & Cryan, J. F. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2015.09.068 · Cited by 203 · see citing works
A Cybernetic Theory of Psychopathology
DeYoung, C. G., & Krueger, R. F. (2018) · Psychological Inquiry · doi:10.1080/1047840x.2018.1513680 · Cited by 198 · see citing works
“These structures have also been implicated in internalizing disorders (Holmes et al., 2012; Shackman et al., 2016).”
BackgroundPolygenic risk of Alzheimer disease is associated with early- and late-life processes
Mormino, E. C., Sperling, R. A., Holmes, A. J., Buckner, R. L., Jager, P. L. D., Smoller, J. W., Sabuncu, M. R., Initiative, A. D. N., Initiative, A. D. N., Weiner, M. W., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002922 · Cited by 170 · see citing works
“Acquisition and processing of structural MRI scans have been described previously.19,24 A longitudinal Freesurfer version 4.3 pipeline was used to extract hippocampus volume (HV) for ADNI1, while a crosssectional Freesurfer version 4.5 pipeline was used for GSP. HV was adjusted by total intracranial volume and additio…”
MethodInfluentialSelf-citationSurface-based morphometry reveals the neuroanatomical basis of the five-factor model of personality
Riccelli, R., Toschi, N., Nigro, S. L., Terracciano, A., & Passamonti, L. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw175 · Cited by 185 · see citing works
“…hypotheses (based on previous relevant studies) was that neuroticism should be associated with individual differences in SBM measures in PFC and temporal areas (Holmes et al., 2012; Bjornebekk et al., 2013), while extraversion should correlate with SBM metrics in the PFC (Bjornebekk et al., 2013).”
BackgroundMethodResultInfluentialDubois, J., Galdi, P., Han, Y., Paul, L. K., & Adolphs, R. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.8 · Cited by 168 · see citing works
Bullis, J. R., Boettcher, H., Sauer‐Zavala, S., Farchione, T. J., & Barlow, D. H. (2019) · Clinical Psychology: Science and Practice · doi:10.1111/cpsp.12278 · Cited by 216 · see citing works
“, 2003), and further bolstered by affective neuroscience, which has demonstrated similar functional and structural abnormalities across these disorders in brain areas that are associated with elevated levels of negative affect (Etkin & Wager, 2007; Holmes et al., 2012; Shin & Liberzon, 2010).”
BackgroundResultConvergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder
Anderson, K. M., Collins, M. A., Kong, R., Fang, K., Li, J., He, T., Chekroud, A. M., Yeo, B. T. T., & Holmes, A. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2008004117 · Cited by 173 · see citing works
Self-citationImaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential
Bogdan, R., Salmeron, B. J., Carey, C. E., Arpana Agrawal, A., Calhoun, V. D., Garavan, H., Hariri, A. R., Heinz, A., Hill, M. N., Holmes, A., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.12.030 · Cited by 167 · see citing works
“For example, depression PRSs are associated with reduced ventromedial prefrontal cortex thickness, which is associated with negative affect (18).”
Self-citationGray matter myelination of 1555 human brains using partial volume corrected MRI images
Shafee, R., Buckner, R. L., & Fischl, B. R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.054 · Cited by 158 · see citing works
“edu/gsp) and subsets of the data have been published previously (e.g., Yeo et al., 2011; Holmes et al., 2012).”
Self-citationHolmes, A. J., Hollinshead, M. O., Roffman, J. L., Smoller, J. W., & Buckner, R. L. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3206-15.2016 · Cited by 156 · see citing works
“When considered in the context of our recent observation in the same sample that amygdala–medial prefrontal cortex circuit anatomy predicts negative affect (Holmes et al., 2012), the collective findings demonstrate that multiple behavioral traits selectively associate with anatomical variability in distinct brain syst…”
BackgroundSelf-citationAnderson, K. M., Collins, M. A., Chin, R., Ge, T., Rosenberg, M. D., & Holmes, A. J. (2020) · Nature Communications · doi:10.1038/s41467-020-16710-x · Cited by 119 · see citing works
Self-citationThe Cambridge Handbook of Personality Psychology
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822 · Cited by 140 · see citing works
From Stress to Anhedonia: Molecular Processes through Functional Circuits
Stanton, C. H., Holmes, A. J., Chang, S. W. C., & Joormann, J. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.09.008 · Cited by 120 · see citing works
Self-citationPersonality Neuroscience and the Five Factor Model
Allen, T. A., & DeYoung, C. G. (2016) · Oxford Handbooks Online · doi:10.1093/oxfordhb/9780199352487.013.26 · Cited by 143 · see citing works
Qiu, A., Shen, M., Buß, C., Chong, Y. S., Kwek, K. Y. C., Saw, S., Gluckman, P. D., Wadhwa, P. D., Entringer, S., Styner, M. A., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx065 · Cited by 116 · see citing works
“For example, a higher GPRSMDD associates with cortical thinning in the medial prefrontal cortex (Holmes et al. 2012), a region strongly implicated in the pathophysiology of depression (Kupfer et al. 2012).”
BackgroundInfluentialInsecure attachment during infancy predicts greater amygdala volumes in early adulthood
Moutsiana, C., Johnstone, T., Murray, L., Fearon, P., Cooper, P. J., Pliatsikas, C., Goodyer, I., & Halligan, S. L. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12317 · Cited by 112 · see citing works
The default mode network and rumination in individuals at risk for depression
Chou, T., Deckersbach, T., Dougherty, D. D., & Hooley, J. M. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad032 · Cited by 115 · see citing works
“At the same time, Holmes et al. (2012) found that controlling for family history of psychiatric disorders did not change the reduced MPFC cortical thickness findings in high negative affect individuals.”
BackgroundResultInfluentialKatz, B. A., Matanky, K., Aviram, G., & Yovel, I. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101842 · Cited by 109 · see citing works
Reus, L. M., Shen, X., Gibson, J., Wigmore, E. M., Ligthart, L., Adams, M. J., Davies, G., Cox, S. R., Hagenaars, S. P., Bastin, M. E., et al. (2017) · Scientific Reports · doi:10.1038/srep42140 · Cited by 94 · see citing works
McNaughton, N., DeYoung, C. G., & Corr, P. J. (2016) · Neuroimaging Personality, Social Cognition, and Character · doi:10.1016/b978-0-12-800935-2.00002-6 · Cited by 123 · see citing works
The Neuropsychology of Anxiety
McNaughton, N., & Gray, J. A. (2024) · doi:10.1093/oso/9780198843313.001.0001 · Cited by 98 · see citing works
The Myth of Optimality in Clinical Neuroscience
Holmes, A. J., & Patrick, L. M. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.12.006 · Cited by 88 · see citing works
Self-citationGut microbiota and central nervous system development
Principi, N., & Esposito, S. (2016) · Journal of Infection · doi:10.1016/j.jinf.2016.09.010 · Cited by 92 · see citing works
Mincic, A. M. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.08.007 · Cited by 90 · see citing works
Multidimensional heritability analysis of neuroanatomical shape
Ge, T., Reuter, M., Winkler, A. M., Holmes, A. J., Lee, P. H., Tirrell, L. S., Roffman, J. L., Buckner, R. L., Smoller, J. W., & Sabuncu, M. R. (2016) · Nature Communications · doi:10.1038/ncomms13291 · Cited by 73 · see citing works
“Second, using structural magnetic resonance imaging (MRI) and SNP data from 1,320 unrelated individuals collected as part of the Harvard/Massachusetts General Hospital (MGH) Brain Genomics Superstruct Project (GSP) [36, 37], we present the first comprehensive heritability analysis of the shape of an ensemble of brain…”
MethodSelf-citationPolygenic risk scores in imaging genetics: Usefulness and applications
Dima, D., & Breen, G. D. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881115584470 · Cited by 85 · see citing works
“Lastly, a study found an association between the PRS for major depressive disorder and reduced cortical thickness in the left amygdala-medial prefrontal circuitry in healthy young adults (Holmes et al., 2012).”
BackgroundTemperament and brain networks of attention
Posner, M. I., & Rothbart, M. K. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0254 · Cited by 87 · see citing works
Wang, L., Zhao, Y., Edmiston, E. K., Womer, F. Y., Zhang, R., Zhao, P., Jiang, X., Wu, F., Kong, L., Zhou, Y., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00923 · Cited by 81 · see citing works
Massively expedited genome-wide heritability analysis (MEGHA)
Ge, T., Nichols, T. E., Lee, P. H., Holmes, A. J., Roffman, J. L., Buckner, R. L., Sabuncu, M. R., & Smoller, J. W. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415603112 · Cited by 69 · see citing works
“As a demonstration of application, MEGHA was applied to brain structural MRI and genome-wide SNP data from 1,320 unrelated subjects, as part of the Harvard/Massachusetts General Hospital (MGH) Brain Genomics Superstruct Project (GSP) (16).”
MethodInfluentialSelf-citationPartitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia
Lee, P. H., Baker, J. T., Holmes, A. J., Jahanshad, N., Ge, T., Jung, J. Y., Cruz, Y., Manoach, D. S., Hibar, D. P., Faskowitz, J., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.164 · Cited by 71 · see citing works
“Polygenic scoring analysis(11) has been widely used in recent neuroimaging genetics work(14, 15, 17, 33, 70).”
Self-citationPearson‐Fuhrhop, K. M., Dunn, E. C., Mortero, S., Devan, W. J., Falcone, G. J., Lee, P., Holmes, A. J., Hollinshead, M. O., Roffman, J. L., Smoller, J. W., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093772 · Cited by 81 · see citing works
“The ChunkChromosome program was used to split each chromosome into 10 pieces, for which all GSP participants were imputed as one batch.”
MethodInfluentialSelf-citationSmoller, J. W., Gallagher, P., Duncan, L. E., McGrath, L. M., Haddad, S. A., Holmes, A. J., Wolf, A. B., Hilker, S., Block, S. R., Weill, S. R., et al. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.12.018 · Cited by 81 · see citing works
“In light of this evidence and several prior studies showing that increased proneness to anxiety is associated with increased amygdala volume in healthy volunteers (9,24,25), we examined the association between amygdala volume and variation in ACCN2.”
InfluentialSelf-citationSprangers, M. A. G., Thong, M. S. Y., Bartels, M., Barsevick, A. M., Ordoñana, J. R., Shi, Q., Wang, X. S., Klepstad, P., Wierenga, E. A., Singh, J. A., et al. (2014) · Quality of Life Research · doi:10.1007/s11136-014-0656-1 · Cited by 75 · see citing works
“Serotonergic synapse 5-HTT (SLC6A4) Pain [46, 51, 52, 73]”
BackgroundInfluentialPerez, D. L., Williams, B., Matin, N., LaFrance, W. C., Jr., Costumero, V., Fricchione, G. L., Sepulcre, J., Keshavan, M. S., & Dickerson, B. C. (2017) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-316359 · Cited by 77 · see citing works
Treadway, M. T., & Pizzagalli, D. A. (2014) · Biology of Mood & Anxiety Disorders · doi:10.1186/2045-5380-4-5 · Cited by 75 · see citing works
“This has been observed using both genome-wide analysis [14] and examinations of non-depressed individuals with a family history of MDD [15,16], consistent with the hypothesis that these structural decreases likely reflect an endophenotype marker [17].”
How to produce personality neuroscience research with high statistical power and low additional cost
Mar, R. A., Spreng, R. N., & DeYoung, C. G. (2013) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-013-0202-6 · Cited by 75 · see citing works
“…2010; Hu et al., 2011; Kapogiannis, Sutin, Davatzikos, Costa, & Resnick, 2012), empathy and social cognition (Banissy, Kanai, Walsh, & Rees, 2012; Holmes et al., 2012; cf. Mills, Lalonde, Clasen, Giedd, & Blakemore, 2012), self-reported social network size (Bickart, Wright, Dautoff, Dickerson, &…”
Dolcos, S. M., Hu, Y., Iordan, A. D., Moore, M., & Dolcos, F. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv106 · Cited by 71 · see citing works
Smith, C. M., Walker, A. W., Hosken, I. T., Chua, B. E., Zhang, C., Haidar, M., & Gundlach, A. L. (2014) · Frontiers in Pharmacology · doi:10.3389/fphar.2014.00046 · Cited by 68 · see citing works
Santoro, M. L., Ota, V., de Jong, S., Noto, C. D. S., Spíndola, L., Talarico, F., Gouvêa, E. S., Lee, S. H., Moretti, P. N. S., Curtis, C. J. C., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0230-7 · Cited by 66 · see citing works
Lifespan anxiety is reflected in human amygdala cortical connectivity
He, Y., Xu, T., Zhang, W., & Zuo, X. (2015) · Human Brain Mapping · doi:10.1002/hbm.23094 · Cited by 62 · see citing works
“Healthy children and adults with higher anxiety levels tend to have a larger amygdala [Baur et al., 2012; Holmes et al., 2012; Qin et al., 2014].”
BackgroundHemispheric specialization in affective responses, cerebral dominance for language, and handedness
Costanzo, E. Y., Villarreal, M. F., Drucaroff, L. J., Ortiz-Villafañe, M., Castro, M. N., Goldschmidt, M., Wainsztein, A., Ladrón-de-Guevara, M. S., Romero, C., Brusco, L. I., et al. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.04.006 · Cited by 62 · see citing works
Huang, L., Song, Y., Li, J., Zhen, Z., Yang, Z., & Jia Liu, B. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00483 · Cited by 57 · see citing works
Disorders and borders: Psychiatric genetics and nosology
Smoller, J. W. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32174 · Cited by 66 · see citing works
“functional MRI [Holmes et al., 2012] with a focus on neural and behavioral indices of negative affectivity, a quantitative dimension that is believed to underlie a range of anxiety disorders and depression [Clark et al.”
BackgroundMethodInfluentialSelf-citationNikolova, Y. S., Misquitta, K. A., Rocco, B. R., Prévot, T. D., Knodt, A. R., Ellegood, J., Voineskos, A. N., Lerch, J. P., Hariri, A. R., Sibille, E. L., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-017-0083-5 · Cited by 51 · see citing works
Liu, B., Zhang, X., Cui, Y. J., Qin, W., Tao, Y., Li, J., Yu, C., & Jiang, T. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw051 · Cited by 59 · see citing works
Larger amygdala volume in first-degree relatives of patients with major depression
Romanczuk‐Seiferth, N., Pöhland, L., Mohnke, S., Garbusow, M., Erk, S., Haddad, L., Grimm, O., Tost, H., Meyer‐Lindenberg, A., Walter, H., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.05.015 · Cited by 57 · see citing works
Pearson, R., McGeary, J. E., & Beevers, C. G. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.06.041 · Cited by 59 · see citing works
“Future work may consider investigating a larger number of polymorphisms and using more sophisticated statistical modeling of the genetic effects (e.g., Holmes et al., 2012).”
Social support, stress and the aging brain
Sherman, S. M., Cheng, Y., Fingerman, K. L., & Schnyer, D. M. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv071 · Cited by 61 · see citing works
Thijssen, S., Collins, P. F., & Luciana, M. M. (2019) · Development and Psychopathology · doi:10.1017/s0954579419000580 · Cited by 48 · see citing works
“…9.609 <.001 Sex –0.507 0.017 –29.495 <.001 Race 0.141 0.021 6.695 <.001 aDirect effect. bIndirect effect Step 2. cIndirect effect Step 1. emotional problems (Holmes et al., 2012), the co-occurrence of accelerated pubertal and amygdala–mPFC circuit development in girls specifically may be able to…”
InfluentialAlbaugh, M. D., Nguyen, T., Ducharme, S., Collins, D. L., Botteron, K. N., D’Alberto, N., Evans, A. C., Karama, S., & Hudziak, J. J. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.02.002 · Cited by 55 · see citing works
Enhancing the Informativeness and Replicability of Imaging Genomics Studies
Carter, C. S., Bearden, C. E., Bullmore, E. T., Geschwind, D. H., Glahn, D. C., Gur, R. E., Meyer‐Lindenberg, A., & Weinberger, D. R. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.08.019 · Cited by 55 · see citing works
“Advanced high-throughput image processing and automated segmentation methods were developed and demonstrated high intra- and inter scanner reliability of measuring brain volumes in multiple structures (22, 23).”
MethodFunctional Connectome of the Five-Factor Model of Personality
Toschi, N., Riccelli, R., Indovina, I., Terracciano, A., & Passamonti, L. (2018) · Personality Neuroscience · doi:10.1017/pen.2017.2 · Cited by 52 · see citing works
“Several factors may explain the inconsistences across previous findings, including the use of different analytic approaches and the fact that most of the earlier studies, with some notable exceptions (Bjornebekk et al., 2013; Holmes et al., 2012; Nostro, Muller, Reid, & Eickhoff, 2016; Riccelli, Toschi, Nigro, Terracc…”
ResultSudheer, S. M., Gangwar, P., Usmani, Z., Sharma, M., Sharma, V. K., Sana, S. S., Almeida, F. B. D. R., Dubey, N. K., Singh, D. P., Dilbaghi, N., et al. (2021) · Biochimie · doi:10.1016/j.biochi.2021.10.010 · Cited by 48 · see citing works
Neuroimaging genomics in psychiatry—a translational approach
Mufford, M. S., Stein, D. J., Dalvie, S., Groenewold, N. A., Thompson, P. M., & Jahanshad, N. (2017) · Genome Medicine · doi:10.1186/s13073-017-0496-z · Cited by 51 · see citing works
“For example, PRS for major depressive disorder (MDD; n = 18,749) has been associated with reduced cortical thickness in the left amygdala-medial prefrontal circuitry among healthy individuals (n = 438) of European descent [114].”
BackgroundPolygenic Risk of Spasmodic Dysphonia is Associated With Vulnerable Sensorimotor Connectivity
Putzel, G., Battistella, G., Rumbach, A. F., Ozelius, L. J., Sabuncu, M. R., & Simonyan, K. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw363 · Cited by 52 · see citing works
Regulating emotion to improve physical health through the amygdala
Song, Y., Lu, H., Hu, S., Xu, M., Li, X., & Jia Liu, B. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu083 · Cited by 52 · see citing works
“…MRI studies indicate the amygdala as a core component in the neural circuit of emotion processing (Davis and Whalen, 2001; Phelps and LeDoux, 2005; Holmes et al., 2012) and emotion regulation (Tottenham et al., 2010; Ochsner et al., 2012), and (ii) the amygdala is critical in regulating…”
Hay, R. E., Reynolds, J. E., Grohs, M. N., Paniukov, D., Giesbrecht, G. F., Letourneau, N. L., Dewey, D., & Lebel, C. A. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0481-20.2020 · Cited by 50 · see citing works
“, 2019), vulnerability to depression (van Eijndhoven et al., 2009; Price and Drevets, 2010; Holmes et al., 2012; Malykhin et al., 2012), anxiety, and increased stress reactivity (Prater et al.”
BackgroundFox, E., & Beevers, C. G. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.114 · Cited by 49 · see citing works
Toward Robust Anxiety Biomarkers: A Machine Learning Approach in a Large-Scale Sample
Boeke, E. A., Holmes, A. J., & Phelps, E. A. (2020) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.05.018 · Cited by 50 · see citing works
“The composite anxiety score was derived [following Holmes et al. (65)] by z -scoring each of these 4 scales across participants and taking the mean of these 4 z -scores per participant.”
MethodSelf-citationBrain structural alterations associated with young women with subthreshold depression
Li, H., Wei, D., Sun, J., Chen, Q., Zhang, Q., & Qiu, J. (2015) · Scientific Reports · doi:10.1038/srep09707 · Cited by 47 · see citing works
Genetic Moderation of Stress Effects on Corticolimbic Circuitry
Bogdan, R., Pagliaccio, D., Baranger, D. A. A., & Hariri, A. R. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.216 · Cited by 48 · see citing works
“…of large-scale studies (Bogdan et al, 2012b; Holmes et al, 2015; Nikolova et al, 2012; Schumann et al, 2010), multisite data pooling protocols (Barch et al, 2013; Holmes et al, 2012), and data sharing networks (Thompson et al, 2014) in an effort to increase power to detect small effects.”
BackgroundNeurotic Individuals are not Creative Thinkers
Pickering, A. D., Smillie, L. D., & DeYoung, C. G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.001 · Cited by 46 · see citing works
“Moreover, there is a larger and more consistent literature showing that neuroticism is linked with other brain structures, including the amygdala and insula [8,12].”
BackgroundLinking personality and brain anatomy: a structural MRI approach to Reinforcement Sensitivity Theory
Adrián‐Ventura, J., Costumero, V., Parcet, M. A., & Ávila, C. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz011 · Cited by 47 · see citing works
“Furthermore, in a study conducted in a large sample (Holmes et al., 2012), the authors reported a GM increase in the amygdala associated with scores on a customized scale based on behavioral inhibition and trait negative affect measures.”
BackgroundMethodResultInfluentialInterfacing neural constructs with the Hierarchical Taxonomy of Psychopathology : ‘Why' and ‘how'
Perkins, E. R., Latzman, R. D., & Patrick, C. J. (2019) · Personality and Mental Health · doi:10.1002/pmh.1460 · Cited by 42 · see citing works
Amygdala responses to salient social cues vary with oxytocin receptor genotype in youth
Marusak, H. A., Furman, D. J., Kuruvadi, N., Shattuck, D. W., Joshi, S. H., Joshi, A. A., Etkin, A., & Thomason, M. E. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.10.015 · Cited by 46 · see citing works
“Consistent with this notion, adult (Inoue et al., 2010) and adolescent (Furman et al., 2011) carriers of the rs2254298 OXTR A-allele variant are reported to have increased amygdala volume, a neural marker thought to confer elevated emotional reactivity and anxiety (Holmes et al., 2012).”
BackgroundPolygenic risk for depression and the neural correlates of working memory in healthy subjects
Yüksel, D., Dietsche, B., Forstner, A. J., Witt, S. H., Maier, R., Rietschel, M., Konrad, C., Nöthen, M. M., Dannlowski, U., Baune, B. T., et al. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.06.010 · Cited by 44 · see citing works
“To our knowledge only very few investigations combined neuroimaging data and PRS for depression (Holmes et al., 2012; Whalley et al., 2013), but none of them used functional MRI data, and particularly did not probe cognitive functions such as WM.”
Hyde, L. W. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000188 · Cited by 45 · see citing works
“…new methodology to be developed or the application of previously used quantitative approaches to quantitatively combine multiple interacting genetic variants (e.g., Bentley et al., 2013; Gruenewald, Seeman, Ryff, Karlamangla, & Singer, 2006; Hizer, Wright, & Garcia, 2004; Holmes et al., 2012).”
BackgroundMethodPolygenic risk score: use in migraine research
Chalmer, M. A., Esserlind, A.-L., Olesen, J., & Hansen, T. F. (2018) · The Journal of Headache and Pain · doi:10.1186/s10194-018-0856-0 · Cited by 37 · see citing works
Cattarinussi, G., Delvecchio, G., Sambataro, F., & Brambilla, P. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.05.007 · Cited by 44 · see citing works
Big five personality traits and problematic mobile phone use: A meta-analytic review
Gao, L., Zhai, S., Xie, H., Liu, Q., Niu, G., & Zhou, Z. (2020) · Current Psychology · doi:10.1007/s12144-020-00817-x · Cited by 43 · see citing works
“Thus, there may exist some neurobiological substrates of neuroticism and conscientiousness (e.g., diverse volumes of the amygdala and prefrontal cortex; Holmes et al., 2012; Kapogiannis, Sutin, Davatzikos, Costa, & Resnick, 2013) that are prone to addiction.”
BackgroundThe Role of the Medial Prefrontal Cortex in Regulating Social Familiarity-Induced Anxiolysis
Lungwitz, E. A., Stuber, G. D., Johnson, P. L., Dietrich, A. D., Schartz, N. D., Hanrahan, B., Shekhar, A., & Truitt, W. A. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.302 · Cited by 39 · see citing works
“Thickness of the (v)mPFC is associated with social functioning and ability to correctly interpret emotion from social cues (Holmes et al, 2012).”
BackgroundAmygdala volume and hypothalamic-pituitary-adrenal axis reactivity to social stress
Barry, T. J., Murray, L., Fearon, P. R. M., Moutsiana, C., Johnstone, T., & Halligan, S. L. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.07.487 · Cited by 39 · see citing works
“…a central role in emotional processing and responding, and, correspondingly, studies have linked greater amygdala volumes with negative affectivity (Holmes et al., 2012), sensitivity to negative experiences (Barros-Loscertales et al., 2006; Gerritsen et al., 2012), and elevated anxiety (Baur et…”
BackgroundStructural and functional brain abnormalities in misophonia
Eijsker, N., Schröder, A., Smit, D. J. A., van Wingen, G. A., & Denys, D. A. J. P. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.05.013 · Cited by 41 · see citing works
Birnbaum, R., & Weinberger, D. R. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/rbirnbaum · Cited by 36 · see citing works
“Using risk scores derived from large MDD GWAS analyses, an MDD polygenic score was found to be associated with reduced cortical thickness in the left medial prefrontal cortex, a structural variation that is believed to influence vulnerability to MDD.(79) In a third study, increasing polygenic risk allele load for bipo…”
MethodFerschmann, L., Fjell, A. M., Vollrath, M. E., Grydeland, H., Walhovd, K. B., & Tamnes, C. K. (2018) · Child Development · doi:10.1111/cdev.13016 · Cited by 32 · see citing works
Marečková, K., Holsen, L. M., Admon, R., Makris, N., Seidman, L. J., Buka, S. L., Whitfield, S., & Goldstein, J. M. (2016) · Human Brain Mapping · doi:10.1002/hbm.23271 · Cited by 30 · see citing works
“…the r 3740 r hypothalamic pituitary adrenal (HPA) axis [Dedovic et al., 2009] and affect regulation [Mayberg, 1997; Price and Drevets, 2010], with previous evidence of an association between negative affect and increased AMYG volume in a large sample of healthy young adults [Holmes et al., 2012].”
BackgroundInfluentialTouroutoglou, A., Bickart, K. C., Barrett, L. F., & Dickerson, B. C. (2014) · Human Brain Mapping · doi:10.1002/hbm.22552 · Cited by 35 · see citing works
“Recent studies, however, suggest that variation in the amygdala volume and its anatomical coupling to medial prefrontal cortex also relate to individual differences in negative affect [Holmes et al., 2012; Kim and Whalen, 2009].”
Widespread associations between trait conscientiousness and thickness of brain cortical regions
Lewis, G. J., Dickie, D. A., Cox, S. R., Karama, S., Evans, A. C., Starr, J. M., Bastin, M. E., Wardlaw, J. M., & Deary, I. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.033 · Cited by 33 · see citing works
“Negative associations have been noted with cortical thickness in left medial prefrontal cortex (Holmes et al., 2012), with surface area in bilateral middle temporal cortex, left rostral middle frontal gyrus, bilateral superior frontal gyrus, left cuneus, right superior parietal cortex, right frontal pole (Riccelli et…”
BackgroundResultSubgenual Cingulum Microstructure Supports Control of Emotional Conflict
Keedwell, P. A., Doidge, A. N., Meyer, M., Lawrence, N., Lawrence, A. D., & Jones, D. K. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw030 · Cited by 32 · see citing works
“In particular, risk for depression has been linked to altered functioning of a neural circuit encompassing the amygdala and regions of the ventral-rostral (pregenual– subgenual) anterior cingulate cortex (ACC) (Pezawas et al. 2005; Holmes et al. 2012).”
BackgroundWebb, C. A., Olson, E. A., Killgore, W. D. S., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M. (2018) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.08.005 · Cited by 34 · see citing works
“, for resting-state fMRI), morphometric results derived from structural MRI studies are likely to be relatively temporally stable and may thus provide greater insight into traitlike predictors of treatment response (37,38).”
Ben‐Eliyahu, A., & Zeidner, M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.041 · Cited by 33 · see citing works
Ferrari, C., Vecchi, T., Todorov, A. T., & Cattaneo, Z. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0419-2 · Cited by 32 · see citing works
“…of Psychology, Princeton University, Princeton, NJ 08544, USA 4 Department of Psychology, University of Milano–Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milano, Italy et al., 2007) or depression (Foland-Ross et al., 2014; Holmes et al., 2012; Thoma, Norra, Juckel, Suchan, & Bellebaum, 2015).”
Coombs, G., Loggia, M. L., Greve, D. N., & Holt, D. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097466 · Cited by 29 · see citing works
“This association may have other structural manifestations; for instance, negative affect levels have been correlated with increased amygdala volumes and decreased thickness of the left subgenual and rostral anterior cingulate cortices in healthy young adults [59].”
BackgroundReplication in Imaging Genetics: The Case of Threat-Related Amygdala Reactivity
Avinun, R., Nevo, A., Knodt, A. R., Elliott, M. L., & Hariri, A. R. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.11.010 · Cited by 26 · see citing works
Salience Network Connectivity Modulates Skin Conductance Responses in Predicting Arousal Experience
Xia, C., Touroutoglou, A., Quigley, K. S., Barrett, L. F., & Dickerson, B. C. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01087 · Cited by 27 · see citing works
“, 2014) or the structural integrity of regions within the salience network (e.g., amygdala and medial pFC; Holmes et al., 2012; Kim & Whalen, 2009).”
Liu, M., Liu, X., Hildebrandt, A., & Zhou, C. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa015 · Cited by 28 · see citing works
The neural correlates of flow experience explored with transcranial direct current stimulation
Ulrich, M., Niemann, J., Boland, M., Kammer, T., Niemann, F., & Grön, G. (2018) · Experimental Brain Research · doi:10.1007/s00221-018-5378-0 · Cited by 23 · see citing works
BDNF-Dependent Effects on Amygdala–Cortical Circuitry and Depression Risk in Children and Youth
Wheeler, A. L., Felsky, D., Viviano, J., Stojanovski, S., Ameis, S., Szatmari, P., Lerch, J., Chakravarty, M., & Voineskos, A. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx086 · Cited by 28 · see citing works
- Authors
- Holmes, A. J., Lee, P. H., Hollinshead, M. O., Bakst, L., Roffman, J. L., Smoller, J. W., & Buckner, R. L.
- Affiliations
- Harvard University (US)
- Howard Hughes Medical Institute (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-12-12
- Volume
- 32
- Issue
- 50
- Pages
- 18087-18100
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3674506
- OpenAlex
- W2121184942
- Cited by
- 293
- References
- 116
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 33 · 2023: 7 · 2022: 12 · 2021: 32 · 2020: 61 · 2019: 13 · 2018: 28 · 2017: 16 · 2016: 28 · 2015: 20 · 2014: 23 · 2013: 9 · 2012: 1
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- Howard Hughes Medical Institute
- Simons Foundation
- Wellcome Trust
- Centre d'Imagerie BioMédicale
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
- National Institute of Mental Health (R01MH079799, U01MH085520, MH085520, K01MH099232, K24MH094614)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- amygdala, medial prefrontal cortex, trait negative affect, subgenual anterior cingulate cortex, rostral anterior cingulate cortex, amygdala volume, cortical thickness, social cognition, facial emotion recognition, major depressive disorder, polygenic risk, genetic heterogeneity, individual differences, healthy young adults
- MeSH terms
- Adolescent, Adult, Amygdala, Depression, Emotions, Female, Genotype, Humans, Individuality, Magnetic Resonance Imaging, Male, Risk Factors, Social Behavior, Prefrontal Cortex, Genetic Predisposition to Disease, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Young Adult
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