Brain age predicts mortality
- Submitting institution
-
University College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14707
- Type
- D - Journal article
- DOI
-
10.1038/mp.2017.62
- Title of journal
- Molecular Psychiatry
- Article number
- -
- First page
- 1385
- Volume
- 23
- Issue
- 5
- ISSN
- 1359-4184
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
17
- Research group(s)
-
-
- Citation count
- 124
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper combined computational ageing models from neuroimaging and from epigenetics (DNA methylation) for the first time. Using this novel combination of biological ‘clocks’ we demonstrated that mortality risk can be predicted in older adults. This generated considerable media interest, including the front page of The Times (26/04/2017), interviews with the Guardian, Daily Mail and the New Scientist, a piece on Sky News (28/04/2017) and three different podcasts for global audiences. The paper highlighted the importance of multi-modality ageing models, resulting in a new direction in biogerontology research, where computational models of brain-age are now routine (Cole, Molecular Psychiatry, 2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -