Robust prediction of memory and neuroticism in men and women using connectome‐based predictive modeling

Alzheimer’s disease (AD) disproportionately impacts women, yet we have little understanding of the differences in brain circuitry that underlie this vulnerability. We explored aspects of brain connectivity that robustly predict memory performance (measured by RAVLT performance) and neuroticism (measured by NEO‐N) in healthy women vs men by leveraging data‐driven machine learning to model the brain connectome in the Lifespan Human Connectome Project Aging (HCP‐A) dataset.