Alzheimer’s disease (AD) is a clinical-pathologic entity with a long pathological phase before the dementia onset. The latest ATN classification system is a effective tool in AD research and can provide a more accurate AD stages. Here, we aim to explore the evolution patterns of gray matter structural covariance networks (SCNs) along AD continuum by using the ATN classification system.
This abstract and the presentation materials are available to members only; a login is required.