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Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.

NeuroImage - 1 Dec 2017

Cole James H, Poudel Rudra P K, Tsagkrasoulis Dimosthenis, Caan Matthan W A, Steves Claire, Spector Tim D, Montana Giovanni

Abstract excerpt

Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the credentials of 'brain-predicted age' as a biomarker of individual differences in the brain ageing process, using a predictive modelling approach based on deep learning, and...

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Identifiers

PMID: 28765056
DOI: 10.1016/j.neuroimage.2017.07.059

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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