Preprint
Effects of age on resting-state cortical networks
- Abstract:
- Magnetoencephalography recordings of functional brain activity reveal large-scale cortical networks that are associated with cognition. The correlation of individualised networks with age and cognitive performance (age effects and cognitive performance effects respectively) was studied using a large cross-sectional healthy cohort (N=612, 18-88 years old) and accounting for a comprehensive set of confounds. Age effects were found in time-averaged functional networks in five canonical frequency bands (delta, theta, alpha, beta, gamma) that are consistent with the posterior-anterior shift with age observed in functional magnetic resonance imaging. Evidence from cognitive performance effects in time-averaged networks suggested the importance of maintaining alpha-band activity for cognitive health. A more detailed description of the functional activity was obtained by adopting an established machine learning approach (the Hidden Markov Model). Ten transient large-scale cortical networks with fast dynamics (~100 ms) were identified, which provided insight into age and cognitive performance effects that were not observed in the time-averaged analyses. The time spent in most networks increased with age, whereas the time spent in frontal networks decreased. The cognitive performance effects for the transient networks suggested that age effects in the frontal networks are compensatory. Thus, our study suggests both the maintenance of functional activity (lesser age effects) and the recruitment of compensatory functional activity can co-occur to produce good cognitive performance in older individuals. The time-averaged and transient functional networks have been made publicly available as a resource.
- Publication status:
- Published
- Peer review status:
- Not peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Pre-print, pdf, 5.0MB, Terms of use)
-
- Preprint server copy:
- 10.1101/2024.09.23.614004
Authors
+ Wellcome Trust
More from this funder
- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 106183/Z/14/Z
- 104571/Z/14/Z
- 203139/Z/16/Z
- 215573/Z/19/Z
+ National Institute for Health and Care Research
More from this funder
- Funder identifier:
- https://ror.org/0187kwz08
- Grant:
- NIHR203316
- Preprint server:
- bioRxiv
- Publication date:
- 2024-09-24
- DOI:
- EISSN:
-
2692-8205
- Language:
-
English
- Keywords:
- Pubs id:
-
2035991
- Local pid:
-
pubs:2035991
- Deposit date:
-
2026-03-17
- ARK identifier:
Terms of use
- Copyright holder:
- Gohil et al
- Copyright date:
- 2024
- Rights statement:
- ©2024 The Authors. The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record