Identifying Configurational Abnormalities in Alzheimer’S Disease Progression Using Multi-View Structure Connectome

摘要

Alzheimer's disease (AD) is the most common cause of dementia and while scientists know that AD involves progressive neuronal cell loss, the reason why this occurs is still not known. As AD exerts a systems-level impact on the brain, therefore the brain structural connectome, derived from whole-brain tractography using diffusion-weighted MRI, has the potential to study the systems-level changes associated with the AD progression. Traditionally, structural connectome is reconstructed based on one single tractography algorithm and commonly involves the comparison of summary graph-theoretical metrics, which could be biased and also discard important informative graph structure. In this paper, we proposed to study the AD effect on brain structural connectome using a multi-view approach. Our results supported multi-view structural connectomics improved power in detecting early changes associated with AD disease progression.