Evidence map›Paper›PMID 41852604›Full record

ArticleBiological psychiatry global open science2026

Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.

Heather M Shappell, Zhiyuan Liu, Mohammadreza Khodaei, George He, Dylan G Gee, Martin A Lindquist, Denis G Sukhodolsky, Gregory McCarthy, Karim Ibrahim

Abstract read
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In one paragraph

Article in Biological psychiatry global open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

5 · Who and what money

Authors and funding

9 authors.

Heather M ShappellDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Zhiyuan LiuChild Study Center, Yale University School of Medicine, New Haven, Connecticut.
Mohammadreza KhodaeiDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
George HeDepartment of Psychology, Yale University, New Haven, Connecticut.
Dylan G GeeChild Study Center, Yale University School of Medicine, New Haven, Connecticut.
Martin A LindquistBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Denis G SukhodolskyChild Study Center, Yale University School of Medicine, New Haven, Connecticut.
Gregory McCarthyDepartment of Psychology, Yale University, New Haven, Connecticut.
Karim IbrahimChild Study Center, Yale University School of Medicine, New Haven, Connecticut.

Funding

Multimodal imaging biomarkers of cognitive control network deficits in youths with disruptive behaviorK23MH128451 · YALE UNIVERSITY · 2025 to 2025
$191k
NIMH NIH HHS K23 MH128451NIMH NIH HHS L30 MH124229
6 · The paper itself

Abstract

Background: Childhood disruptive behavior problems are linked to aberrant integrity within large-scale cognitive control networks. However, it is unclear whether transitory or dynamic variation in the functional brain architecture is a marker of disruptive behavior problems. In this study, we tested whether functional connectivity across dynamic networks is distinctly associated with the transdiagnostic symptom domain of disruptive behavior problems in children. Methods: Participants were 9 to 10-year-olds from the Adolescent Brain Cognitive Development Study who completed resting-state functional magnetic resonance imaging (fMRI) ( Results: Dynamic network markers of disruptive behavior problems included increased time in network states characterized by globally aberrant connectivity patterns in circuitry involved in cognitive control including frontoparietal and dorsal attention networks. Reliability of findings was found in a held-out sample of resting-state fMRI runs in which greater severity of disruptive behavior problems was uniquely linked to greater occupancy time in similarly characterized brain states. Conclusions: Transdiagnostic, dynamic resting-state markers of disruptive behavior problems in youth may assist in the development of brain-based biomarkers for monitoring treatment outcomes, assessing circuit target engagement, and informing clinical decisions.

Indexed as

BiomarkerDisruptive behavior disordersDynamic brain networksDynamic connectivityResting-state fMRI

Identifiers

PMID41852604
PMCPMC12994038

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.