Bayesian subtyping for multi-state brain functional connectome with application on preadolescent brain cognition.

ABSTRACT: Converging evidence indicates that the heterogeneity of cognitive profiles may arise through detectable alternations in brain functional connectivity. Despite an unprecedented opportunity to uncover neurobiological subtypes through clustering or subtyping analyses on multi-state functional connectivity, few existing approaches are applicable to accommodate the network topology and unique biological architecture. To address this issue, we propose an innovative Bayesian nonparametric network-variate clustering analysis to uncover subgroups of individuals with homogeneous brain functional network patterns under multiple cognitive states. In light of the existing neuroscience literature, we assume there are unknown state-specific modular structures within functional connectivity. Concurrently,

SUBMITTER: Chen T 

PROVIDER: S-EPMC11823269 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature