Capturing the non-stationarity of whole-brain dynamics underlying human brain states

Autores
Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; Laufs, H.; Tagliazucchi, Enzo Rodolfo; Langa, J. A.; Deco, G.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.
Fil: Galadí, J.A.. Universitat Pompeu Fabra; España
Fil: Silva Pereira, S.. Universitat Pompeu Fabra; España
Fil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; Argentina
Fil: Kringelbach, M. L.. University of Oxford; Reino Unido
Fil: Gayte, I.. Universidad de Sevilla; España
Fil: Laufs, H.. No especifíca;
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
Fil: Langa, J. A.. Universidad de Sevilla; España
Fil: Deco, G.. Universitat Pompeu Fabra; España
Materia
ATTRACTORS
BRAIN DYNAMICS
CONSCIOUSNESS
ENERGY LEVELS
MODEL TRANSFORM
SLEEP
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/181904
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/181904
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Capturing the non-stationarity of whole-brain dynamics underlying human brain statesGaladí, J.A.Silva Pereira, S.Sanz Perl, Y.Kringelbach, M. L.Gayte, I.Laufs, H.Tagliazucchi, Enzo RodolfoLanga, J. A.Deco, G.ATTRACTORSBRAIN DYNAMICSCONSCIOUSNESSENERGY LEVELSMODEL TRANSFORMSLEEPhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.Fil: Galadí, J.A.. Universitat Pompeu Fabra; EspañaFil: Silva Pereira, S.. Universitat Pompeu Fabra; EspañaFil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; ArgentinaFil: Kringelbach, M. L.. University of Oxford; Reino UnidoFil: Gayte, I.. Universidad de Sevilla; EspañaFil: Laufs, H.. No especifíca;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; ArgentinaFil: Langa, J. A.. Universidad de Sevilla; EspañaFil: Deco, G.. Universitat Pompeu Fabra; EspañaAcademic Press Inc Elsevier Science2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181904Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; et al.; Capturing the non-stationarity of whole-brain dynamics underlying human brain states; Academic Press Inc Elsevier Science; Journal Neuroimag; 244; 12-2021; 1-171053-8119CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811921008247info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2021.118551info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:23:46Zoai:ri.conicet.gov.ar:11336/181904instacron: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:34982025-10-15 15:23:46.412CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Capturing the non-stationarity of whole-brain dynamics underlying human brain states
title Capturing the non-stationarity of whole-brain dynamics underlying human brain states
spellingShingle Capturing the non-stationarity of whole-brain dynamics underlying human brain states
Galadí, J.A.
ATTRACTORS
BRAIN DYNAMICS
CONSCIOUSNESS
ENERGY LEVELS
MODEL TRANSFORM
SLEEP
title_short Capturing the non-stationarity of whole-brain dynamics underlying human brain states
title_full Capturing the non-stationarity of whole-brain dynamics underlying human brain states
title_fullStr Capturing the non-stationarity of whole-brain dynamics underlying human brain states
title_full_unstemmed Capturing the non-stationarity of whole-brain dynamics underlying human brain states
title_sort Capturing the non-stationarity of whole-brain dynamics underlying human brain states
dc.creator.none.fl_str_mv Galadí, J.A.
Silva Pereira, S.
Sanz Perl, Y.
Kringelbach, M. L.
Gayte, I.
Laufs, H.
Tagliazucchi, Enzo Rodolfo
Langa, J. A.
Deco, G.
author Galadí, J.A.
author_facet Galadí, J.A.
Silva Pereira, S.
Sanz Perl, Y.
Kringelbach, M. L.
Gayte, I.
Laufs, H.
Tagliazucchi, Enzo Rodolfo
Langa, J. A.
Deco, G.
author_role author
author2 Silva Pereira, S.
Sanz Perl, Y.
Kringelbach, M. L.
Gayte, I.
Laufs, H.
Tagliazucchi, Enzo Rodolfo
Langa, J. A.
Deco, G.
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ATTRACTORS
BRAIN DYNAMICS
CONSCIOUSNESS
ENERGY LEVELS
MODEL TRANSFORM
SLEEP
topic ATTRACTORS
BRAIN DYNAMICS
CONSCIOUSNESS
ENERGY LEVELS
MODEL TRANSFORM
SLEEP
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.
Fil: Galadí, J.A.. Universitat Pompeu Fabra; España
Fil: Silva Pereira, S.. Universitat Pompeu Fabra; España
Fil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; Argentina
Fil: Kringelbach, M. L.. University of Oxford; Reino Unido
Fil: Gayte, I.. Universidad de Sevilla; España
Fil: Laufs, H.. No especifíca;
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
Fil: Langa, J. A.. Universidad de Sevilla; España
Fil: Deco, G.. Universitat Pompeu Fabra; España
description Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.
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/11336/181904
Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; et al.; Capturing the non-stationarity of whole-brain dynamics underlying human brain states; Academic Press Inc Elsevier Science; Journal Neuroimag; 244; 12-2021; 1-17
1053-8119
CONICET Digital
CONICET
url http://hdl.handle.net/11336/181904
identifier_str_mv Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; et al.; Capturing the non-stationarity of whole-brain dynamics underlying human brain states; Academic Press Inc Elsevier Science; Journal Neuroimag; 244; 12-2021; 1-17
1053-8119
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811921008247
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2021.118551
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Inc Elsevier Science
publisher.none.fl_str_mv Academic Press Inc Elsevier Science
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
_version_ 1846083384783142912
score 13.22299

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