Association of Brain Diffusion-Tensor Parameters with Risk of Alzheimer’s Disease-Related Cognitive Decline

Motivation: Diffusion-tensor parameters of projection and association neural fibers associated with glymphatic function may be able to predict the development of Alzheimer’s Disease (AD). Goal(s): To study the association between diffusion-tensor parameters and cognition in patients with AD, and investigate whether diffusion-tensor parameters relate to cognitive decline. Approach: Linear regression models were performed to examine associations between diffusion-tensor parameters and cognition. linear mixed-effects models were used to evaluate the association between the baseline ALPS index and cognitive decline. Results: There was a positive association between ALPS index and cognition. Higher ALPS index levels were associated with less cognitive decline over time. Impact: Higher ALPS index levels are associated with lower risk of AD-related changes. These findings suggest that ALPS index derived from diffusion-tensor parameters may provide useful AD progression or treatment biomarkers.