The "Neural Shift" of Sleep Quality and Cognitive Aging: A Resting-State MEG Study of Transient Neural Dynamics.
Authors
Tibon, Roni
Tsvetanov, Kamen A
Publication Date
2021Journal Title
Front Aging Neurosci
ISSN
1663-4365
Publisher
Frontiers Media SA
Volume
13
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Tibon, R., & Tsvetanov, K. A. (2021). The "Neural Shift" of Sleep Quality and Cognitive Aging: A Resting-State MEG Study of Transient Neural Dynamics.. Front Aging Neurosci, 13 https://doi.org/10.3389/fnagi.2021.746236
Abstract
Sleep quality changes dramatically from young to old age, but its effects on brain dynamics and cognitive functions are not yet fully understood. We tested the hypothesis that a shift in brain networks dynamics relates to sleep quality and cognitive performance across the lifespan. Network dynamics were assessed using Hidden Markov Models (HMMs) in resting-state MEG data from a large cohort of population-based adults (N = 564, aged 18-88). Using multivariate analyses of brain-sleep profiles and brain-cognition profiles, we found an age-related "neural shift," expressed as decreased occurrence of "lower-order" brain networks coupled with increased occurrence of "higher-order" networks. This "neural shift" was associated with both increased sleep dysfunction and decreased fluid intelligence, and this relationship was not explained by age, sex or other covariates. These results establish the link between poor sleep quality, as evident in aging, and a behavior-related shift in neural dynamics.
Keywords
Neuroscience, magnetoencephalography, Hidden Markov Model, partial least squares, aging, sleep, cognition
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/H008217/1)
Medical Research Council (MC_UU_00005/8)
Identifiers
External DOI: https://doi.org/10.3389/fnagi.2021.746236
This record's URL: https://www.repository.cam.ac.uk/handle/1810/334007
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk