SC-TauPath: A Structural Connectivity Attribution Framework for Mapping Tau Propagation Pathways in Alzheimer's Disease
Researchers have developed SC-TauPath, a new framework designed to map tau propagation pathways in Alzheimer's disease using structural connectivity data. This method combines a Network Diffusion Model with an MLP and gradient attribution to identify the contribution of each neural connection to tau prediction. When applied to neuroimaging data from ADNI participants, SC-TauPath demonstrated strong predictive accuracy for tau levels and generated pathway maps that align with established anatomical staging of Alzheimer's disease. AI
IMPACT Provides a novel computational tool for neuroscientific research into Alzheimer's disease progression.