Predicting depression risk in early adolescence via multimodal brain imaging.

ABSTRACT: Depression is an incapacitating psychiatric disorder with increased risk through adolescence. Among other factors, children with family history of depression have significantly higher risk of developing depression. Early identification of pre-adolescent children who are at risk of depression is crucial for early intervention and prevention. In this study, we used a large longitudinal sample from the Adolescent Brain Cognitive Development (ABCD) Study (2658 participants after imaging quality control, between 9-10 years at baseline), we applied advanced machine learning methods to predict depression risk at the two-year follow-up from the baseline assessment, using a set of comprehensive multimodal neuroimaging features derived from structural MRI, diffusion tensor imaging, and task and rest

SUBMITTER: Gracia-Tabuenca Z 

PROVIDER: S-EPMC11015491 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature