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Dataset Information

Clinically Relevant Patterns of Co-Fluctuating Structure and Function in Multiple Sclerosis.


ABSTRACT:

Background

While structural and functional connectivity changes in multiple sclerosis (MS) are well documented, their complex interplay remains poorly understood. This study identifies co-fluctuating patterns of structural and functional changes in MS using an MRI-based multimodal fusion approach and assesses the added value to clinical outcomes.

Methods

Linked independent component analysis (ICA) was applied to spatial maps of white matter (WM) lesions, fractional anisotropy (FA), gray matter (GM) volume, and functional network connectivity to detect regions with differential co-fluctuations. Graph theory (GT) was then used to reveal clusters of interconnected brain regions. Linear mixed-effect models targeted regions with significantly different co-fluctuating patterns bet

SUBMITTER: Zhang J 

PROVIDER: S-EPMC12477496 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature