Unravelling pathological ageing with brain age gap estimation in Alzheimer's disease, diabetes and schizophrenia.

ABSTRACT: Brain age gap estimation (BrainAGE), the difference between predicted brain age and chronological age, might be a putative biomarker aiming to detect the transition from healthy to pathological brain ageing. The biomarker primarily models healthy ageing with machine learning models trained with structural magnetic resonance imaging (MRI) data. BrainAGE is expected to translate the deviations in neural ageing trajectory and has been shown to be increased in multiple pathologies, such as Alzheimer's disease (AD), schizophrenia and Type 2 diabetes (T2D). Thus, accelerated ageing seems to be a general feature of neuropathological processes. However, neurobiological constraints remain to be identified to provide specificity to this biomarker. Explainability might be the key to uncovering age pr

SUBMITTER: Dias MF 

PROVIDER: S-EPMC11950532 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature