Understanding Mechanistic Role of Structural and Functional Connectivity in Tau Propagation Through Multi-Layer Modeling
Tingting Dan, Xinwei Huang, Jiaqi Ding, Yinggang Zheng, Guorong Wu

TL;DR
This study uses multi-layer graph diffusion modeling on longitudinal neuroimaging data to elucidate how structural and functional brain connectivity interact and influence tau protein spread in Alzheimer's disease, revealing region-specific and disease-stage-dependent mechanisms.
Contribution
It introduces a multi-layer graph diffusion model that uncovers the asymmetric and dynamic roles of structural and functional connectivity in tau propagation across different brain regions and disease stages.
Findings
FC dominates tau spread in early AD regions
SC becomes more influential in later disease stages
Gene expression patterns align with connectivity-driven tau propagation
Abstract
Emerging neuroimaging evidence shows that pathological tau proteins build up along specific brain networks, suggesting that large-scale network architecture plays a key role in the progression of Alzheimer's disease (AD). However, how structural connectivity (SC) and functional connectivity (FC) interact to influence tau propagation remains unclear. Leveraging an unprecedented volume of longitudinal neuroimaging data, we examine SC-FC interactions through a multi-layer graph diffusion model. Beyond showing that connectome architecture constrains tau spread, our model reveals a regionally asymmetric contribution of SC and FC. Specifically, FC predominantly drives tau spread in subcortical areas, the insula, frontal and temporal cortices, whereas SC plays a larger role in occipital, parietal, and limbic regions. The relative dominance of SC versus FC shifts over the course of disease,…
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Taxonomy
TopicsAlzheimer's disease research and treatments · Functional Brain Connectivity Studies · Bioinformatics and Genomic Networks
