Evidence map›Paper›PMID 40447229›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Granularity of Emotions in Brain and Behavior and Resilience to Childhood Violence Exposure.

David G Weissman, Shafi Rubbani, Stephanie N DeCross, Steven W Kasparek, Katie A McLaughlin

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In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

David G WeissmanDepartment of Psychology, California State University, Dominguez Hills, Carson, California. Electronic address: dweissman@csudh.edu.
Shafi RubbaniRessler Lab, McLean Hospital, Belmont, Massachusetts.
Stephanie N DeCrossDepartment of Psychology, Harvard University, Cambridge, Massachusetts.
Steven W KasparekDepartment of Psychology, Harvard University, Cambridge, Massachusetts.
Katie A McLaughlinBallmer Institute for Children's Behavioral Health, University of Oregon, Portland, Oregon.

Funding

Neurodevelopmental Mechanisms Underlying Stress Vulnerability during AdolescenceR37MH119194 · NIMH · HARVARD UNIVERSITY · PI Katie McLaughlin · 2020 to 2026
$10.6M
Emotional Granularity and Interoceptive Accuracy: Affective Skills Linking Dimensions of Childhood Adversity with Adolescent Stress VulnerabilityR16GM154604 · NIGMS · CALIFORNIA STATE UNIV-DOMINGUEZ HILLS · PI David G Weissman · 2024 to 2026
$551k
Emotional Awareness: An integrative neural mechanism linking childhood trauma with psychopathologyK99MH127248 · NIMH · HARVARD UNIVERSITY · PI WEISSMAN, DAVID G · 2022 to 2023
$246k
NIGMS NIH HHS R16 GM154604NIMH NIH HHS K99 MH127248NIMH NIH HHS R37 MH119194
6 · The paper itself

Abstract

backgroundThis study identified behavioral and neural indices of the specificity of emotion representations in adolescents' brains and assessed their association with resilience to childhood violence exposure.

methodsEighty 13- to 18-year-old adolescents with variable exposure to violence viewed emotion-eliciting videos and rated how angry, disgusted, sad, scared, and upset they felt. Sixty-nine participants viewed the same videos in the magnetic resonance imaging scanner, once while labeling their emotions and once while counting the number of people.

resultsEmotion labeling (vs. counting) led to greater blood oxygen level-dependent activation in the medial and ventrolateral prefrontal cortex. Based on representational similarity analysis, if 2 stimuli elicited more similar patterns of activation within those brain regions, those stimuli had more similar emotion ratings, suggesting that encoding of emotion categories within these brain regions is reflected in their activation patterns. Moreover, emotion differentiation measured behaviorally and the mean neural dissimilarity across all stimulus pairs for each participant each moderated the association between violence exposure and psychopathology such that the association between violence exposure and psychopathology was weaker in individuals with greater emotion differentiation and neural dissimilarity.

conclusionsThe granularity of emotions reflected in adolescents' brains and behavior contributes to resilience and therefore may serve as a target for preventive interventions.

Indexed as

Adolescent BehaviorBrainEmotionsExposure to ViolencePrefrontal CortexResilience, PsychologicalAdolescentBrain MappingFemaleHumansMagnetic Resonance ImagingMaleAdolescenceAffect labelingEmotion differentiationfMRIPsychopathology

Identifiers

PMID40447229
PMCPMC12404502

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.