Unraveling robust brain-behavior links of depressive complaints through granular network models for understanding heterogeneity.

ABSTRACT:

Background

Depressive symptoms are highly prevalent, present in heterogeneous symptom patterns, and share diverse neurobiological underpinnings. Understanding the links between psychopathological symptoms and biological factors is critical in elucidating its etiology and persistence. We aimed to evaluate the utility of using symptom-brain network models to parse the heterogeneity of depressive complaints in a large adolescent sample.

Methods

We used data from the third wave of the IMAGEN study, a multi-center panel cohort study involving 1317 adolescents (52.49 % female, mean ± SD age = 18.5 ± 0.7). Two network models were estimated: one including an overall depressive symptom severity sum score based on the Adolescent Depression Rating Scale (ADRS), and one incorporating in

SUBMITTER: Freichel R 

PROVIDER: S-EPMC11687178 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature