Cited by 299Neural and Behavioral Psychology StudiesAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesNeurotransmitter Receptor Influence on Behavior

The DOI matches its Crossref record; 107 of the 116 references it cites were found in a registry or an index; none of the 73 sources its claims cite is checked for support yet.

Individual Differences in Amygdala-Medial Prefrontal Anatomy Link Negative Affect, Impaired Social Functioning, and Polygenic Depression Risk

Open access

Abstract

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.

Overview

Integrity signals

Registry

Crossref · 10.1523/jneurosci.2531-12.2012

Cites

107 of 107 references verified0 citation errors · 0 not checkable

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Claims the paper makes

83 Own result · 38 Not checked yet · 19 Own interpretation · 12 Own method · 1 No basis given

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  • The quote only partly states this claim. 1
  • It may state two separate claims as one. 39
  • Probably not a substantial claim. 39
70 of 70
  • 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”
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  • 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”

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Metadata

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
Published
2012-12-12
Volume
32
Issue
50
Pages
18087-18100
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
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
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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