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

Heather M Shappell1, Zhiyuan Liu2,3, Mohammadreza Khodaei1,4

  • 1Wake Forest University School of Medicine, Department of Biostatistics and Data Science.

Biorxiv : the Preprint Server for Biology
|June 6, 2025
PubMed
Summary
This summary is machine-generated.

Childhood disruptive behavior problems are linked to dynamic brain network changes. Increased time in aberrant cognitive control network states uniquely predicts disruptive behavior severity in youth.

Keywords:
BiomarkerDisruptive Behavior DisordersDynamic Brain NetworksDynamic ConnectivityResting-State fMRI

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Science

Background:

  • Childhood disruptive behavior problems are associated with altered brain network integrity.
  • The role of dynamic functional brain architecture variations in these behaviors remains unclear.

Purpose of the Study:

  • To investigate if dynamic functional brain connectivity is distinctly associated with disruptive behavior problems in children.
  • To identify specific dynamic network properties linked to disruptive behavior symptom severity.

Main Methods:

  • Utilized resting-state fMRI data from 877 children (aged 9-10) from the Adolescent Brain Cognitive Development (ABCD) Study.
  • Employed a hidden semi-Markov model (HSMM) to analyze dynamic functional connectivity and identify transient brain network states.
  • Assessed occupancy and dwell times in identified states and their association with disruptive behavior severity using linear regression.

Main Results:

  • Children with disruptive behavior problems spent more time in network states with aberrant connectivity in cognitive control circuitry (frontoparietal and dorsal attention networks).
  • These findings were replicated in a separate sample, confirming the unique association between increased occupancy time in specific brain states and disruptive behavior severity.

Conclusions:

  • Dynamic resting-state functional connectivity markers show potential for identifying disruptive behavior problems in youth.
  • These markers could aid in developing brain-based biomarkers for treatment monitoring and clinical decision-making.