GWM-HFN, a Gray-White Matter heterogeneous fusion network for functional connectomes.

ABSTRACT: Resting-state functional connectivity (FC) studies have predominantly centered on gray matter (GM), largely overlooking the functional contributions of white matter (WM). However, emerging evidence indicates WM blood-oxygen-level-dependent (BOLD) signals actively shape large-scale brain networks. Current methods to integrate WM face limitations, including challenges in assessing global network properties from bipartite GM-WM connections or the nascent stage of unified connectome models. Here, we introduce the Gray-White Matter Heterogeneous Fusion Network (GWM-HFN), a framework that defines GM-GM functional links via the covariance of their interaction profiles with WM bundles defined by a standardized atlas. Validated across six independent datasets, GWM-HFN demonstrates fair short-term (

SUBMITTER: Hu K 

PROVIDER: S-EPMC12748607 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature