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

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 parti...

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Detalhes bibliográficos
Autores: Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, Enzo Rodolfo, Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E., Kringelbach, M. L.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/147697
Acesso em linha:http://hdl.handle.net/11336/147697
Access Level:acceso abierto
Palavra-chave:Consciousness
Neuroimaging
Dynamics
Sleep
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
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oai_identifier_str oai:ri.conicet.gov.ar:11336/147697
network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
spellingShingle Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
Stevner, A. B. A.
Consciousness
Neuroimaging
Dynamics
Sleep
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
title_short Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_full Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_fullStr Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_full_unstemmed Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
title_sort Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
dc.creator.none.fl_str_mv Stevner, A. B. A.
Vidaurre, D.
Cabral, J.
Rapuano, K.
Nielsen, S. F. V.
Tagliazucchi, Enzo Rodolfo
Laufs, H.
Vuust, P.
Deco, G.
Woolrich, M. W.
Van Someren, E.
Kringelbach, M. L.
author Stevner, A. B. A.
author_facet Stevner, A. B. A.
Vidaurre, D.
Cabral, J.
Rapuano, K.
Nielsen, S. F. V.
Tagliazucchi, Enzo Rodolfo
Laufs, H.
Vuust, P.
Deco, G.
Woolrich, M. W.
Van Someren, E.
Kringelbach, M. L.
author_role author
author2 Vidaurre, D.
Cabral, J.
Rapuano, K.
Nielsen, S. F. V.
Tagliazucchi, Enzo Rodolfo
Laufs, H.
Vuust, P.
Deco, G.
Woolrich, M. W.
Van Someren, E.
Kringelbach, M. L.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Consciousness
Neuroimaging
Dynamics
Sleep
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
topic Consciousness
Neuroimaging
Dynamics
Sleep
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/147697
Stevner, A. B. A.; Vidaurre, D.; Cabral, J.; Rapuano, K.; Nielsen, S. F. V.; et al.; Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep; Nature Publishing Group; Nature Communications; 10; 1; 04-3-2019; 1-14
2041-1723
CONICET Digital
CONICET
url http://hdl.handle.net/11336/147697
identifier_str_mv Stevner, A. B. A.; Vidaurre, D.; Cabral, J.; Rapuano, K.; Nielsen, S. F. V.; et al.; Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep; Nature Publishing Group; Nature Communications; 10; 1; 04-3-2019; 1-14
2041-1723
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41467-019-08934-3
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-019-08934-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1799195475858948096
spelling Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleepStevner, A. B. A.Vidaurre, D.Cabral, J.Rapuano, K.Nielsen, S. F. V.Tagliazucchi, Enzo RodolfoLaufs, H.Vuust, P.Deco, G.Woolrich, M. W.Van Someren, E.Kringelbach, M. L.ConsciousnessNeuroimagingDynamicsSleephttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The 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.Fil: Stevner, A. B. A.. University of Oxford; Reino Unido. University Aarhus; DinamarcaFil: Vidaurre, D.. University of Oxford; Reino UnidoFil: Cabral, J.. University of Oxford; Reino Unido. Universidade do Minho; PortugalFil: Rapuano, K.. Dartmouth College; Estados UnidosFil: Nielsen, S. F. V.. Technical University of Denmark; DinamarcaFil: Tagliazucchi, Enzo Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Netherlands Institute for Neuroscience; Países Bajos. University Hospital Schleswig Holstein; Alemania. Goethe Universitat Frankfurt; AlemaniaFil: Laufs, H.. University Hospital Schleswig Holstein; Alemania. Goethe Universitat Frankfurt; AlemaniaFil: Vuust, P.. University Aarhus; DinamarcaFil: Deco, G.. Universitat Pompeu Fabra; España. Institució Catalana de la Recerca i Estudis Avançats; España. Max Planck Institute for Human Cognitive and Brain Sciences; Alemania. Monash University; AustraliaFil: Woolrich, M. W.. University of Oxford; Reino UnidoFil: Van Someren, E.. Vrije Universiteit Amsterdam; Países Bajos. Netherlands Institute for Neuroscience; Países BajosFil: Kringelbach, M. L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca. Universidade do Minho; PortugalNature Publishing Group2019-03-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/147697Stevner, A. B. A.; Vidaurre, D.; Cabral, J.; Rapuano, K.; Nielsen, S. F. V.; et al.; Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep; Nature Publishing Group; Nature Communications; 10; 1; 04-3-2019; 1-142041-1723CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41467-019-08934-3info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-019-08934-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:53:38Zoai:ri.conicet.gov.ar:11336/147697instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 13:53:38.759CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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