Connectome-Based Predictive Modeling of Concurrent and Prospective Substance Use in Adolescence.

ABSTRACT: Understanding the neural mechanisms of adolescent substance use is a critical public health issue, with direct implications for bolstering prevention and treatment strategies. Yet this effort is challenging because substance use is multi-faceted, commonly used brain network features are not optimized to capture both local and global aspects of intrinsic connectivity, and because the facets themselves sensitive to developmental shifts. In this study, we operationalized adolescent substance use along three dimensions-intent, access, and family-developmental history-and trained predictive models of each facet using resting-state connectivity. Trait impulsivity, a known risk factor, was also examined. Using Baseline and 2 Year Follow-Up data from the ABCD Bids Community Collection (ABCC), we f

SUBMITTER: Guassi Moreira JF 

PROVIDER: S-EPMC12424972 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature