English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K. M., Nielsen, S. F. V., Tagliazucchi, E., et al. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1): 1035. doi:10.1038/s41467-019-08934-3.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0003-2C74-A Version Permalink: http://hdl.handle.net/21.11116/0000-0003-A47D-8
Genre: Journal Article

Files

show Files
hide Files
:
Stevner_2019.pdf (Publisher version), 6MB
Name:
Stevner_2019.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Stevner, Angus B. A.1, 2, 3, Author
Vidaurre, Diego4, Author
Cabral, Joana1, Author
Rapuano, Kristina M.5, Author
Nielsen, Soren Fons Vind6, Author
Tagliazucchi, Enzo7, 8, 9, Author
Laufs, Helmut8, 9, Author
Vuust, Peter3, Author
Deco, Gustavo10, 11, 12, 13, Author              
Woolrich, M. W.4, Author
Van Someren, Eus7, 14, Author
Kringelbach, Morten L.1, 2, 3, 15, Author
Affiliations:
1Department of Psychiatry, Warneford Hospital, University of Oxford, United Kingdom, ou_persistent22              
2Center of Functionally Integrative Neuroscience, Aarhus University, Denmark, ou_persistent22              
3Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
4Wellcome Centre For Integrative Neuroimaging, Oxford Centre for Human Brain Activity (OHBA), University of Oxford, United Kingdom, ou_persistent22              
5Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA, ou_persistent22              
6Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark, ou_persistent22              
7The Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands, ou_persistent22              
8Department of Neurology, University Hospital of Schleswig-Holstein, Kiel, Germany, ou_persistent22              
9Brain Imaging Centre, Goethe University, Frankfurt, Germany, ou_persistent22              
10Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
11Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
12Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
13School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
14Department of Integrative Neurophysiology, VU University Medical Center, Amsterdam, the Netherlands, ou_persistent22              
15ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              

Content

show
hide
Free keywords: Electroencephalography – EEG; Functional magnetic resonance imaging; Non-REM sleep; Sleep
 Abstract: 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.

Details

show
hide
Language(s): eng - English
 Dates: 2018-02-232019-02-112019-03-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/s41467-019-08934-3
PMID: 30833560
PMC: PMC6399232
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : Spanish National Project Complexity of Brain States
Grant ID : PSI2016-75688-P
Funding program : -
Funding organization : Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF)
Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : 720270
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting / CAREGIVING
Grant ID : 615539
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Frontiers of technology for theranostics of cancer, metabolic and neurodegenerative diseases
Grant ID : NORTE-01-0145-FEDER-000023
Funding program : Northern Portugal Regional Operational Programme (NORTE 2020)
Funding organization : CCDR-N
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation

Source 1

show
hide
Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 10 (1) Sequence Number: 1035 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723