Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep.
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
09 07 2021
09 07 2021
Historique:
received:
26
06
2020
accepted:
18
06
2021
entrez:
10
7
2021
pubmed:
11
7
2021
medline:
17
8
2021
Statut:
epublish
Résumé
Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic dimensionality of brain dynamics in different states (wakefulness, light and deep sleep) remains unknown. Here we present a method to reveal the low dimensional intrinsic manifold underlying human brain dynamics, which is invariant of the high dimensional spatio-temporal representation of the neuroimaging technology. By applying this intrinsic manifold framework to fMRI data acquired in wakefulness and sleep, we reveal the nonlinear differences between wakefulness and three different sleep stages, and successfully decode these different brain states with a mean accuracy across participants of 96%. Remarkably, a further group analysis shows that the intrinsic manifolds of all participants share a common topology. Overall, our results reveal the intrinsic manifold underlying the spatiotemporal dynamics of brain activity and demonstrate how this manifold enables the decoding of different brain states such as wakefulness and various sleep stages.
Identifiants
pubmed: 34244598
doi: 10.1038/s42003-021-02369-7
pii: 10.1038/s42003-021-02369-7
pmc: PMC8270946
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
854Informations de copyright
© 2021. The Author(s).
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