TY  - JOUR
A1  - Stevner, Angus B. A.
A1  - Vidaurre, Diego
A1  - Cabral, Joana
A1  - Rapuano, Kristina
A1  - Nielsen, Søren F. V.
A1  - Tagliazucchi, Enzo
A1  - Laufs, Helmut
A1  - Vuust, Peter
A1  - Deco, Gustavo
A1  - Woolrich, Mark
A1  - Someren, Eus J. W. van
A1  - Kringelbach, Morten L.
T1  - Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
T2  - Nature Communications
N2  - The modern understanding of sleep is based on the classification of sleep into stages defined by their electroencephalography (EEG) signatures, but the underlying brain dynamics remain unclear. Here we aimed to move significantly beyond the current state-of-the-art description of sleep, and in particular to characterise the spatiotemporal complexity of whole-brain networks and state transitions during sleep. In order to obtain the most unbiased estimate of how whole-brain network states evolve through the human sleep cycle, we used a Markovian data-driven analysis of continuous neuroimaging data from 57 healthy participants falling asleep during simultaneous functional magnetic resonance imaging (fMRI) and EEG. This Hidden Markov Model (HMM) facilitated discovery of the dynamic choreography between different whole-brain networks across the wake-non-REM sleep cycle. Notably, our results reveal key trajectories to switch within and between EEG-based sleep stages, while highlighting the heterogeneities of stage N1 sleep and wakefulness before and after sleep.
KW  - Electroencephalography – EEG
KW  - Functional magnetic resonance imaging
KW  - Non-REM sleep
KW  - Sleep
Y1  - 2019
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/48962
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-489626
SN  - 2041-1723
N1  - Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
VL  - 10
IS  - 1, Art. 1035
SP  - 1
EP  - 14
PB  - Nature Publishing Group UK
CY  - [London]
ER  -