Topological and geometric signatures of brain network dynamics in Alzheimer's disease.

ABSTRACT: This study explores magnetic resonance imaging (MRI) as a promising non-invasive approach to monitor Alzheimer's disease (AD) and related dementias. We investigate whether dynamic functional connectivity (dFC), which captures time-varying neural interactions, can reveal sex-specific brain network disruptions in AD that conventional static connectivity analyses may miss. We analyzed dFC in the Open Access Series of Imaging Studies (OASIS-3) dataset across three diagnostic groups (normal cognition, mild cognitive impairment, dementia), stratified by sex, and regressed out age. We evaluated group differences using multiple distance metrics sensitive to various aspects of network structure, with statistical significance assessed via permutation testing. Distinct sex-specific patterns emerged a

SUBMITTER: Yi L 

PROVIDER: S-EPMC12333878 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature