Brain age vector: A measure of brain aging with enhanced neurodegenerative disorder specificity.

ABSTRACT: Neuroimaging-driven brain age estimation has become popular in measuring brain aging and identifying neurodegenerations. However, the single estimated brain age (gap) compromises regional variations of brain aging, losing spatial specificity across diseases which is valuable for early screening. In this study, we combined brain age modeling with Shapley Additive Explanations to measure brain aging as a feature contribution vector underlying spatial pathological aging mechanism. Specifically, we regressed age with volumetric brain features using machine learning to construct the brain age model, and model-agnostic Shapley values were calculated to attribute regional brain aging for each subject's age estimation, forming the brain age vector. Spatial specificity of the brain age vector was e

SUBMITTER: Ran C 

PROVIDER: S-EPMC9582375 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature