Detecting Structural Brain Connectivity Differences in Dementia Through a Conductance Model

Structural brain connectivity has been shown to be sensitive to the changes that the brain undergoes during Alzheimer's disease (AD) progression. In this work, we use our recently proposed structural connectivity quantification measure derived from diffusion MRI, which accounts for all possible neural pathways (direct and indirect) to quantify brain connectivity. We analyze data from the ADNI-2 and OASIS-3 datasets to derive relevant information for the study of the changes that the brain undergoes in AD.