BibTex format
@article{Cole:2017:10.1038/mp.2017.62,
author = {Cole, JH and Ritchie, SJ and Bastin, ME and Valdes, Hernandez MC and Munoz, Maniega S and Royle, N and Corely, J and Pattie, A and Harris, SE and Zhang, Q and Wray, N and Redmond, P and Marioni, RE and Starr, JM and Cox, SR and Wardlaw, JM and Sharp, DJ and Deary, IJ},
doi = {10.1038/mp.2017.62},
journal = {Molecular Psychiatry},
pages = {1385--1392},
title = {Brain age predicts mortality},
url = {http://dx.doi.org/10.1038/mp.2017.62},
volume = {23},
year = {2017}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - 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.
AU - Cole,JH
AU - Ritchie,SJ
AU - Bastin,ME
AU - Valdes,Hernandez MC
AU - Munoz,Maniega S
AU - Royle,N
AU - Corely,J
AU - Pattie,A
AU - Harris,SE
AU - Zhang,Q
AU - Wray,N
AU - Redmond,P
AU - Marioni,RE
AU - Starr,JM
AU - Cox,SR
AU - Wardlaw,JM
AU - Sharp,DJ
AU - Deary,IJ
DO - 10.1038/mp.2017.62
EP - 1392
PY - 2017///
SN - 1476-5578
SP - 1385
TI - Brain age predicts mortality
T2 - Molecular Psychiatry
UR - http://dx.doi.org/10.1038/mp.2017.62
UR - http://hdl.handle.net/10044/1/44819
VL - 23
ER -
