Predicting topographic patterns of future atrophy in Alzheimer's disease using network diffusion model
Ashish Raj 1 and Eve LoCastro 2
Radiology and Neuroscience, Weill Cornell
Medical College, New Nork, NY, United States,
Weill Cornell Medical College, New York, NY, United
Recent studies on prion-like trans-neuronal proteopathy
of Alzheimer's disease were captured by a mathematical
network-diffusion model enacted on fiber connectivity
network of the brain. Here we apply this model to
predict future atrophy patterns of demented individuals
using baseline MRI. These results could lead to
potential breakthroughs in diagnostic, prognostic, and
clinical trial assessment in AD, apart from its clear
value in understanding the pathophysiology of disease.
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