Brain functional connectivity predicts depression and anxiety during childhood and adolescence: A connectome-based predictive modeling approach.

ABSTRACT: Identifying brain-based correlates of risk for future depression and anxiety severity in youth could improve prevention and treatment efforts. We tested whether connectome-based predictive modeling (CPM) based on resting-state functional connectivity (FC) at baseline: (a) predicts future depression and anxiety severity during childhood and (b) generalizes to adolescence. We used two independent, longitudinal datasets including children from the Adolescent Brain Cognitive Development (ABCD) study and adolescents from the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA). ABCD included a cohort of 11,875 children ages 9-11 years old, and BANDA enrolled 215 adolescents ages 14-17 years, of which ~70% reported a depressive or anxiety disorder. CPM with internal (within ABCD) and

SUBMITTER: Morfini F 

PROVIDER: S-EPMC12434380 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature