Optimally mapping multivariate regional brain age and clinical severity patterns in Alzheimer's disease using AgeNet‐SHAP explainable AI approach

Abstract

Background: Age is a significant risk factor for mild cognitive impairment and Alzheimer's disease (MCI/AD), and identifying brain age patterns is critical for comprehending the normal aging and MCI/AD processes.