A Network-Diffusion Model of Alzheimers Disease Estimating both Disease's Progression and Foci

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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