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Brain age predicts mortality

Molecular psychiatry, 2018-05, Vol.23 (5), p.1385-1392 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group May 2018 ;Copyright © 2018 The Author(s) 2018 The Author(s) ;ISSN: 1359-4184 ;EISSN: 1476-5578 ;DOI: 10.1038/mp.2017.62 ;PMID: 28439103

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Title:
Brain age predicts mortality
Author: Cole, J H ; Ritchie, S J ; Bastin, M E ; Valdés Hernández, M C ; Muñoz 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
Subjects: Adult ; Age ; Aged ; Aged, 80 and over ; Aging ; Aging (Biology) ; Aging - metabolism ; Aging - physiology ; Bioindicators ; Biological activity ; Biomarkers ; Brain ; Brain - metabolism ; Brain - physiology ; Cerebrospinal fluid ; Cognition - physiology ; Cognitive ability ; Deoxyribonucleic acid ; DNA ; DNA methylation ; Epigenesis, Genetic - genetics ; Epigenetics ; Epigenomics - methods ; Female ; Grip strength ; Health aspects ; Humans ; Image processing ; Intelligence ; Learning algorithms ; Longitudinal Studies ; Lungs ; Machine Learning ; Male ; Medical imaging ; Methylation ; Middle Aged ; Mortality ; Neuroimaging ; Neuroimaging - methods ; Neurology ; Original ; Physiological aspects ; Predictions ; Respiratory function ; Risk ; Risk factors ; Substantia grisea ; Telomeres
Is Part Of: Molecular psychiatry, 2018-05, Vol.23 (5), p.1385-1392
Description: 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 DNA-methylation-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.
Publisher: England: Nature Publishing Group
Language: English
Identifier: ISSN: 1359-4184
EISSN: 1476-5578
DOI: 10.1038/mp.2017.62
PMID: 28439103
Source: ProQuest One Psychology
MEDLINE
ProQuest Central

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Brain age predicts mortality

COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group May 2018 ;Copyright © 2018 The Author(s) 2018 The Author(s) ;ISSN: 1359-4184 ;EISSN: 1476-5578 ;DOI: 10.1038/mp.2017.62 ;PMID: 28439103

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