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Extended Network Diffusion Model Predicts Regional Tau Vulnerability in Alzheimer’s

Combining tau PET imaging with gene expression maps this model categorizes risk genes as network-aligned/network-independent drivers of regional vulnerability or resilience.

Why do some brain regions deteriorate rapidly while others remain largely intact? Credit: Neuroscience News

Overview

  • Researchers fitted the extended network diffusion model to tau PET scans from 196 participants spanning early and late mild cognitive impairment and Alzheimer’s disease.
  • The model demonstrates that brain regions with stronger connectivity to tau-laden areas accumulate pathology more rapidly than isolated regions.
  • Through integration of regional gene expression, the team defined four gene classes—network-aligned vulnerability, network-independent vulnerability, network-aligned resilience and network-independent resilience.
  • Published July 24 in Brain, the framework offers a validated predictive tool for mapping disease progression and pinpointing intervention targets.
  • By drawing on human data, this mathematical approach advances translational research and lays groundwork for precision therapies in Alzheimer’s.