Rxivist logo

Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations

By Stephen M. Smith, Lloyd T. Elliott, F. Alfaro-Almagro, Paul McCarthy, Thomas E. Nichols, Gwenaëlle Douaud, Karla L. Miller

Posted 13 Oct 2019
bioRxiv DOI: 10.1101/802686 (published DOI: 10.7554/eLife.52677)

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.

Download data

  • Downloaded 1,487 times
  • Download rankings, all-time:
    • Site-wide: 5,506 out of 83,819
    • In neuroscience: 819 out of 14,934
  • Year to date:
    • Site-wide: 2,183 out of 83,819
  • Since beginning of last month:
    • Site-wide: 7,170 out of 83,819

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)