An estimate of the pace of aging from a single brain scan predicts chronic disease, dementia, and mortality

Abstract

Neuroimaging is a common, non-invasive measure, making it a desirable target for developing aging biomarkers. Current MRI-based aging biomarkers (i.e., brain-age gap) are estimated from cross-sectional associations with chronological age - akin to “first-generation” epigenetic clocks.