Abstract #1938
A Network-Diffusion Model of Alzheimers Disease Estimating both Disease's Progression and Foci
Michael Dayan 1 , Farras Abdelnour 1 , Eve LoCastro 1 , Amy Kuceyeski 1 , Sneha Pandya 1 , and Ashish Raj 1
1
Department of Radiology, Weill Cornell
Medical College, New York, NY, United States
The origin and course of Alzheimer's Disease (AD) was
estimated with a diffusion model propagating on a
network. The network nodes were defined in 73 healthy
controls as 90 different cerebral regions and its edges
as the connectivity strength between these regions, as
estimated from diffusion imaging and tractography. The
atrophy pattern in AD patients was estimated from a two
sample t-test between 99 AD subjects and 95 age-matched
controls. AD foci were estimated by seeding the
diffusion model in all regions in turn and calculating
the maximum correlation over time with the observed
atrophy pattern. The most likely foci were found to be
the hippocampus, caudate, putamen and amygdala. When
seeding from the hippocampus, the AD progression
calculated from the model was similar to the known time
course of AD.
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