A Quantitative Analysis of Multimodal Biomarkers in Alzheimer's Disease

The paper presents a quantitative analysis of multimodal biomarkers in Alzheimer's Disease, integrating tau-PET, structural MRI, cognitive scores (MMSE and CDR), and APOE4 data from 789 subjects in the ADNI dataset. Key methodologies include quantifying cross-modal mutual information, examining associations between tau topologies and structural atrophy, and decomposing the tau-cognition association to identify neurodegenerative trajectories. This systematic approach enhances understanding of biomarker relationships, aiding in the selection and interpretation of relevant indicators for Alzheimer's research and potentially improving patient assessment strategies.