Dynamic fusion of genomics and functional network connectivity in UK biobank reveals schizophrenia-related SNP manifolds.

ABSTRACT:

Background

Many mental disorders show strong genetic influence. In parallel, dynamic functional network connectivity (dFNC) has shown high sensitivity to brain changes related to mental disorders. However, previous studies linking dFNC to genetics largely follow a paradigm to identify associations between one set of genetic factors and multiple sets of connectivity features from different dFNC states, ignoring the potential variability in genetic correlates across states.

Methods

We propose a novel joint ICA (jICA)-based "dynamic fusion" framework to identify dynamically-tuned genetic manifolds. A sliding window approach was utilized to estimate four dFNC states and compute subject-level state-average dFNC (sa-dFNC) features. The sa-dFNC features of each state were combined

SUBMITTER: Chen J 

PROVIDER: S-EPMC10802663 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature