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

ABSTRACT:

Background

Childhood disruptive behavior problems are linked to aberrant integrity within large-scale cognitive control networks. However, it is unclear if transitory or dynamic variation in the functional brain architecture is a marker of disruptive behavior problems. The current study tested whether functional connectivity across dynamic networks is distinctly associated with the transdiagnostic symptom domain of disruptive behavior problems in children.

Methods

Participants were aged 9-10 years from the Adolescent Brain Cognitive Development (ABCD) Study, who completed resting-state fMRI (N=877). We employed a dynamic connectivity approach leveraging a hidden semi-Markov model (HSMM) to identify transient properties of brain networks and states. Models estimated the time

SUBMITTER: Shappell HM 

PROVIDER: S-EPMC12139975 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature