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Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations
- Source :
- eLife, Vol 9 (2020)
- Publication Year :
- 2019
- Publisher :
- Cold Spring Harbor Laboratory, 2019.
-
Abstract
- Brain imaging can be used to study how individuals’ brains are aging, compared against population norms. This can inform on aspects of brain health; for example, smoking and blood pressure can be seen to accelerate brain aging. Typically, a single “brain age” is estimated per subject, whereas here we we identified 62 modes of subject variability, from 21,407 subjects’ multimodal brain imaging data in UK Biobank. The modes represent different aspects of brain aging, showing distinct patterns of functional and structural brain change, and distinct patterns of association with genetics, lifestyle, cognition, physical measures and disease. While conventional brain-age modelling found no genetic associations, 34 modes had genetic associations. We suggest that it is important not to treat brain aging as a single homogeneous process, and that modelling of distinct patterns of structural and functional change will reveal more biologically meaningful markers of brain aging in health and disease.
- Subjects :
- 0301 basic medicine
UK Biobank
QH301-705.5
Science
Population
brain imaging
Disease
Biology
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
0302 clinical medicine
Neuroimaging
Biology (General)
education
Brain aging
030304 developmental biology
0303 health sciences
education.field_of_study
General Immunology and Microbiology
General Neuroscience
Cognition
General Medicine
Multiple modes
Biobank
030104 developmental biology
Homogeneous
Functional change
Medicine
brain aging
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- eLife, Vol 9 (2020)
- Accession number :
- edsair.doi.dedup.....0acbe4e042ada493a8e5387ad74cefc6