Brain age predicts mortality

Cole, J. H., Ritchie, S. J., Bastin, M. E., Valdes Hernandez, M. C., Munoz Maniega, S., Royle, N., Corley, J., Pattie, A., Harris, S. E., Zhang, Q., Wray, N. R., Redmond, P., Marioni, R. E., Starr, J. M., Cox, S. R., Wardlaw, J. M., Sharp, D. J. and Deary, I. J. (2017) Brain age predicts mortality. Molecular Psychiatry, . doi:10.1038/mp.2017.62

Author Cole, J. H.
Ritchie, S. J.
Bastin, M. E.
Valdes Hernandez, M. C.
Munoz Maniega, S.
Royle, N.
Corley, J.
Pattie, A.
Harris, S. E.
Zhang, Q.
Wray, N. R.
Redmond, P.
Marioni, R. E.
Starr, J. M.
Cox, S. R.
Wardlaw, J. M.
Sharp, D. J.
Deary, I. J.
Title Brain age predicts mortality
Journal name Molecular Psychiatry   Check publisher's open access policy
ISSN 1359-4184
Publication date 2017-04-25
Sub-type Article (original research)
DOI 10.1038/mp.2017.62
Open Access Status DOI
Total pages 8
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Abstract Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, ‘brain-predicted age’, derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N = 2001), then tested in the Lothian Birth Cohort 1936 (N = 669), to determine relationships with age-associated functional measures and mortality. Having a brain-predicted age indicative of an older-appearing brain was associated with: weaker grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostatic load and increased mortality risk. Furthermore, while combining brain-predicted age with grey matter and cerebrospinal fluid volumes (themselves strong predictors) not did improve mortality risk prediction, the combination of brain-predicted age and DNAmethylation-predicted age did. This indicates that neuroimaging and epigenetics measures of ageing can provide complementary data regarding health outcomes. Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that combining distinct measurements of biological ageing further helps to determine risk of age-related deterioration and death.
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID NIHR-RP-011-048
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
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Created: Fri, 11 Aug 2017, 10:38:33 EST by Emma Schleiger on behalf of Queensland Brain Institute