Behavioral and brain signatures of substance use vulnerability in childhood.
Ontology highlight
ABSTRACT: The prevalence of risky behavior such as substance use increases during adolescence; however, the neurobiological precursors to adolescent substance use remain unclear. Predictive modeling may complement previous work observing associations with known risk factors or substance use outcomes by developing generalizable models that predict early susceptibility. The aims of the current study were to identify and characterize behavioral and brain models of vulnerability to future substance use. Principal components analysis (PCA) of behavioral risk factors were used together with connectome-based predictive modeling (CPM) during rest and task-based functional imaging to generate predictive models in a large cohort of nine- and ten-year-olds enrolled in the Adolescent Brain & Cognitive Developme
SUBMITTER: Rapuano KM
PROVIDER: S-EPMC7662869 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA