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Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex

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Brain‐age can be inferred from structural neuroimaging and compared to chronological age (brain‐age delta), as a marker of accelerated/decelerated biological brain aging. Accelerated biological aging has been found in Alzheimer’s… Click to show full abstract

Brain‐age can be inferred from structural neuroimaging and compared to chronological age (brain‐age delta), as a marker of accelerated/decelerated biological brain aging. Accelerated biological aging has been found in Alzheimer’s disease (AD), but validation against biomarkers of AD and neurodegeneration is lacking. We studied the association between brain‐age delta vs biomarkers and risk factors for AD, neurodegeneration, and cerebrovascular disease in non‐demented individuals. Furthermore, between‐sex differences in the brain areas that better predicted age were sought.

Keywords: disease; biological brain; structural neuroimaging; brain; brain age; age

Journal Title: eLife
Year Published: 2022

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