Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep

Autores
Rué Queralt, Joan; Stevner, Angus; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Kringelbach, Morten L.; Deco, Gustavo; Atasoy, Selen
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Rué Queralt, Joan. Universitat Pompeu Fabra; España
Fil: Stevner, Angus. University Aarhus; Dinamarca. University of Oxford; Reino Unido
Fil: 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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania. Christian Albrechts Universitat Zu Kiel; Alemania
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca
Fil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España. Max Planck Institute for Human Cognitive and Brain Sciences; Alemania
Fil: Atasoy, Selen. University Aarhus; Dinamarca. University of Oxford; Reino Unido
Materia
NEUROSCIENCE
CONSCIOUSNESS
FMRI
MACHINE LEARNING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/181720
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleepRué Queralt, JoanStevner, AngusTagliazucchi, Enzo RodolfoLaufs, HelmutKringelbach, Morten L.Deco, GustavoAtasoy, SelenNEUROSCIENCECONSCIOUSNESSFMRIMACHINE LEARNINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Current 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.Fil: Rué Queralt, Joan. Universitat Pompeu Fabra; EspañaFil: Stevner, Angus. University Aarhus; Dinamarca. University of Oxford; Reino UnidoFil: 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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania. Christian Albrechts Universitat Zu Kiel; AlemaniaFil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; DinamarcaFil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España. Max Planck Institute for Human Cognitive and Brain Sciences; AlemaniaFil: Atasoy, Selen. University Aarhus; Dinamarca. University of Oxford; Reino UnidoNature Publishing Group2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181720Rué Queralt, Joan; Stevner, Angus; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Kringelbach, Morten L.; et al.; Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep; Nature Publishing Group; Communications Biology; 4; 1; 12-2021; 1-112399-3642CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-021-02369-7info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-021-02369-7info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-26T08:53:23Zoai:ri.conicet.gov.ar:11336/181720instacron: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:34982025-11-26 08:53:23.532CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
title Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
spellingShingle Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
Rué Queralt, Joan
NEUROSCIENCE
CONSCIOUSNESS
FMRI
MACHINE LEARNING
title_short Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
title_full Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
title_fullStr Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
title_full_unstemmed Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
title_sort Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
dc.creator.none.fl_str_mv Rué Queralt, Joan
Stevner, Angus
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Kringelbach, Morten L.
Deco, Gustavo
Atasoy, Selen
author Rué Queralt, Joan
author_facet Rué Queralt, Joan
Stevner, Angus
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Kringelbach, Morten L.
Deco, Gustavo
Atasoy, Selen
author_role author
author2 Stevner, Angus
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Kringelbach, Morten L.
Deco, Gustavo
Atasoy, Selen
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv NEUROSCIENCE
CONSCIOUSNESS
FMRI
MACHINE LEARNING
topic NEUROSCIENCE
CONSCIOUSNESS
FMRI
MACHINE LEARNING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Rué Queralt, Joan. Universitat Pompeu Fabra; España
Fil: Stevner, Angus. University Aarhus; Dinamarca. University of Oxford; Reino Unido
Fil: 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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania. Christian Albrechts Universitat Zu Kiel; Alemania
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca
Fil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España. Max Planck Institute for Human Cognitive and Brain Sciences; Alemania
Fil: Atasoy, Selen. University Aarhus; Dinamarca. University of Oxford; Reino Unido
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
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/11336/181720
Rué Queralt, Joan; Stevner, Angus; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Kringelbach, Morten L.; et al.; Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep; Nature Publishing Group; Communications Biology; 4; 1; 12-2021; 1-11
2399-3642
CONICET Digital
CONICET
url http://hdl.handle.net/11336/181720
identifier_str_mv Rué Queralt, Joan; Stevner, Angus; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Kringelbach, Morten L.; et al.; Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep; Nature Publishing Group; Communications Biology; 4; 1; 12-2021; 1-11
2399-3642
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-021-02369-7
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-021-02369-7
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
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
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
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score 13.011256

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