Shannon Entropy of Gray Matter Eigenmodes: A Novel Biomarker for Alzheimer's Disease and Heterogeneous MCI Trajectories.

ABSTRACT: Current Alzheimer's disease (AD) diagnostics rely on late-stage cognitive assessments or invasive biomarkers. Neuroimaging offers non-invasive alternatives, but single-modality approaches (structural atrophy or functional connectivity) face limitations in sensitivity and specificity for early detection. Entropy and temperature, novel structure-function coupling (SFC) biomarkers based on gray matter eigenmodes, are introduced to quantify cortical disorganization in early AD. Using multimodal MRI and amyloid-PET data from two cohorts (BABRI: N = 135; ADNI: N = 275), including cognitively normal (CN), mild cognitive impairment (MCI), and AD individuals, entropy is computed by projecting fMRI onto structural eigenmodes and temperature via eigenmode-based functional connectivity reconstruction.

SUBMITTER: Li Y 

PROVIDER: S-EPMC12767045 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature