Network spreading models of disease propagation utilise functional or anatomical connectivity to predict regional pathology in-vivo. Models based on anatomical connectivity are likely to be disrupted by the inevitable presence of errors from tractography. To mitigate this problem, we propose a method to evaluate the potential of each tractography-derived connection to be false-positive. By incorporating this false-positive potential into a network spreading model, we are able to predict a pattern of tau accumulation more closely aligned with the pathology observed in a cohort of Alzheimer’s Disease patients.
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