Evidence map›Paper›PMID 41889962›Full record

ArticlebioRxiv : the preprint server for biology2026

Individuals with Intermittent Explosive Disorder Exhibit Idiosyncratic Neural Responses during Social-emotional Processing.

Jiajie Chen, Sarah Keedy, Emil Coccaro, Yuan Chang Leong

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In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jiajie ChenDepartment of Psychology, The University of Chicago.ORCID 0009-0005-4712-2333
Sarah KeedyDepartment of Psychiatry and Behavioral Neuroscience, The University of Chicago.ORCID 0000-0002-2139-9271
Emil CoccaroCollege of Medicine, The Ohio State University.ORCID 0000-0002-1595-0266
Yuan Chang LeongDepartment of Psychology, The University of Chicago.ORCID 0000-0003-2499-2393

Funding

Development of fMRI Studies of Social-Emotional Information ProcessingR21MH099393 · NIMH · UNIVERSITY OF CHICAGO · PI COCCARO, EMIL FRANK · 2013 to 2014
$435k
NIMH NIH HHS R21 MH099393
6 · The paper itself

Abstract

Intermittent explosive disorder (IED) is associated with impulsive aggression in ambiguous social contexts. Prior neuroimaging studies have treated IED as a homogenous group, but identical social situations may elicit divergent responses across IED individuals. Here, we test the hypothesis that IED is characterized by idiosyncratic neural responses to social cues during naturalistic social-emotional processing. IED individuals and healthy controls completed a validated paradigm where they were presented with video vignettes of interpersonal interactions while undergoing fMRI. We computed the intersubject correlation (ISC) in neural time courses between pairs of participants to quantify neural similarity, and assessed whether similarity differed between Healthy-Healthy and IED-IED dyads using Bayesian multilevel models, controlling for self-reported emotional responses and intention attributions for each vignette. Healthy-Healthy dyads showed significantly higher ISC than IED-IED dyads, indicating that neural responses to the videos were similar among healthy participants, but idiosyncratic in IED individuals. These effects were observed in regions in the default mode and salience networks, including the precuneus, medial prefrontal cortex, superior temporal sulcus, insula, and dorsal anterior cingulate cortex. Individuals with IED exhibited idiosyncratic neural responses during naturalistic social-emotional processing, even after accounting for differences in emotional reaction and intention attribution. This neural idiosyncrasy may reflect atypical integration of social cues, giving rise to maladaptive interpretations and impulsive aggression. Assessing neural synchrony during ecologically valid paradigms offers a promising tool for identifying neural markers of interpersonal dysfunction and informing targeted interventions.

Indexed as

aggressionfunctional magnetic resonance imagingintermittent explosive disordernaturalistic video-viewingneural synchrony

Identifiers

PMID41889962
PMCPMC13015475

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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.