Fig. 1.

A Bayesian model of AD dementia patients, latent atrophy factors, and brain structural MRI (sMRI). Underpinning our approach is the premise that each participant expresses one or more latent factors. Each factor is associated with distinct but possibly overlapping patterns of brain atrophy. The framework can be instantiated with a mathematical model (LDA) (10), with parameters that can be estimated from the structural MRI data of AD dementia patients. The estimated parameters are the probability that a patient expresses a particular factor [i.e., Pr(Factor | Patient)] and the probability that a factor is associated with atrophy at an MRI voxel [i.e., Pr(Voxel | Factor)].