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Abstract #4730

Predicting topographic patterns of future atrophy in Alzheimer's disease using network diffusion model

Ashish Raj 1 and Eve LoCastro 2

1 Radiology and Neuroscience, Weill Cornell Medical College, New Nork, NY, United States, 2 Radiology, Weill Cornell Medical College, New York, NY, United States

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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