Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

Autores
Hahn, Gerald; Zamora López, Gorka; Uhrig, Lynn; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Mantini, Dante; Kringelbach, Morten L; Jarraya, Béchir; Deco, Gustavo
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
During the sleep-wake cycle, the brain undergoes profound dynamical changes, which manifest subjectively as transitions between conscious experience and unconsciousness. Yet, neurophysiological signatures that can objectively distinguish different consciousness states based are scarce. Here, we show that differences in the level of brain-wide signals can reliably distinguish different stages of sleep and anesthesia from the awake state in human and monkey fMRI resting state data. Moreover, a whole-brain computational model can faithfully reproduce changes in global synchronization and other metrics such as functional connectivity, structure-function relationship, integration and segregation across vigilance states. We demonstrate that the awake brain is close to a Hopf bifurcation, which naturally coincides with the emergence of globally correlated fMRI signals. Furthermore, simulating lesions of individual brain areas highlights the importance of connectivity hubs in the posterior brain and subcortical nuclei for maintaining the model in the awake state, as predicted by graph-theoretical analyses of structural data.
Fil: Hahn, Gerald. Universitat Pompeu Fabra; España
Fil: Zamora López, Gorka. Universitat Pompeu Fabra; España
Fil: Uhrig, Lynn. Institut National de la Santé et de la Recherche Médicale; Francia
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: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania
Fil: Mantini, Dante. Katholikie Universiteit Leuven; Bélgica
Fil: Kringelbach, Morten L. University Aarhus; Dinamarca. University of Oxford; Reino Unido
Fil: Jarraya, Béchir. Institut National de la Santé et de la Recherche Médicale; Francia
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
Materia
Criticality
Dynamics
Neuroimaging
Consciousness
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:11336/181296
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signalsHahn, GeraldZamora López, GorkaUhrig, LynnTagliazucchi, Enzo RodolfoLaufs, HelmutMantini, DanteKringelbach, Morten LJarraya, BéchirDeco, GustavoCriticalityDynamicsNeuroimagingConsciousnesshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1During the sleep-wake cycle, the brain undergoes profound dynamical changes, which manifest subjectively as transitions between conscious experience and unconsciousness. Yet, neurophysiological signatures that can objectively distinguish different consciousness states based are scarce. Here, we show that differences in the level of brain-wide signals can reliably distinguish different stages of sleep and anesthesia from the awake state in human and monkey fMRI resting state data. Moreover, a whole-brain computational model can faithfully reproduce changes in global synchronization and other metrics such as functional connectivity, structure-function relationship, integration and segregation across vigilance states. We demonstrate that the awake brain is close to a Hopf bifurcation, which naturally coincides with the emergence of globally correlated fMRI signals. Furthermore, simulating lesions of individual brain areas highlights the importance of connectivity hubs in the posterior brain and subcortical nuclei for maintaining the model in the awake state, as predicted by graph-theoretical analyses of structural data.Fil: Hahn, Gerald. Universitat Pompeu Fabra; EspañaFil: Zamora López, Gorka. Universitat Pompeu Fabra; EspañaFil: Uhrig, Lynn. Institut National de la Santé et de la Recherche Médicale; FranciaFil: 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: Laufs, Helmut. Goethe Universitat Frankfurt; AlemaniaFil: Mantini, Dante. Katholikie Universiteit Leuven; BélgicaFil: Kringelbach, Morten L. University Aarhus; Dinamarca. University of Oxford; Reino UnidoFil: Jarraya, Béchir. Institut National de la Santé et de la Recherche Médicale; FranciaFil: Deco, Gustavo. Universitat Pompeu Fabra; EspañaAcademic Press2021-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181296Hahn, Gerald; Zamora López, Gorka; Uhrig, Lynn; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; et al.; Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals; Academic Press; Journal Neuroimag; 226; 2-2021; 1-161053-8119CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2020.117470info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:08:36Zoai:ri.conicet.gov.ar:11336/181296instacron: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:34982025-09-10 13:08:36.874CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
title Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
spellingShingle Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
Hahn, Gerald
Criticality
Dynamics
Neuroimaging
Consciousness
title_short Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
title_full Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
title_fullStr Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
title_full_unstemmed Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
title_sort Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
dc.creator.none.fl_str_mv Hahn, Gerald
Zamora López, Gorka
Uhrig, Lynn
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Mantini, Dante
Kringelbach, Morten L
Jarraya, Béchir
Deco, Gustavo
author Hahn, Gerald
author_facet Hahn, Gerald
Zamora López, Gorka
Uhrig, Lynn
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Mantini, Dante
Kringelbach, Morten L
Jarraya, Béchir
Deco, Gustavo
author_role author
author2 Zamora López, Gorka
Uhrig, Lynn
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Mantini, Dante
Kringelbach, Morten L
Jarraya, Béchir
Deco, Gustavo
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Criticality
Dynamics
Neuroimaging
Consciousness
topic Criticality
Dynamics
Neuroimaging
Consciousness
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv During the sleep-wake cycle, the brain undergoes profound dynamical changes, which manifest subjectively as transitions between conscious experience and unconsciousness. Yet, neurophysiological signatures that can objectively distinguish different consciousness states based are scarce. Here, we show that differences in the level of brain-wide signals can reliably distinguish different stages of sleep and anesthesia from the awake state in human and monkey fMRI resting state data. Moreover, a whole-brain computational model can faithfully reproduce changes in global synchronization and other metrics such as functional connectivity, structure-function relationship, integration and segregation across vigilance states. We demonstrate that the awake brain is close to a Hopf bifurcation, which naturally coincides with the emergence of globally correlated fMRI signals. Furthermore, simulating lesions of individual brain areas highlights the importance of connectivity hubs in the posterior brain and subcortical nuclei for maintaining the model in the awake state, as predicted by graph-theoretical analyses of structural data.
Fil: Hahn, Gerald. Universitat Pompeu Fabra; España
Fil: Zamora López, Gorka. Universitat Pompeu Fabra; España
Fil: Uhrig, Lynn. Institut National de la Santé et de la Recherche Médicale; Francia
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: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania
Fil: Mantini, Dante. Katholikie Universiteit Leuven; Bélgica
Fil: Kringelbach, Morten L. University Aarhus; Dinamarca. University of Oxford; Reino Unido
Fil: Jarraya, Béchir. Institut National de la Santé et de la Recherche Médicale; Francia
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
description During the sleep-wake cycle, the brain undergoes profound dynamical changes, which manifest subjectively as transitions between conscious experience and unconsciousness. Yet, neurophysiological signatures that can objectively distinguish different consciousness states based are scarce. Here, we show that differences in the level of brain-wide signals can reliably distinguish different stages of sleep and anesthesia from the awake state in human and monkey fMRI resting state data. Moreover, a whole-brain computational model can faithfully reproduce changes in global synchronization and other metrics such as functional connectivity, structure-function relationship, integration and segregation across vigilance states. We demonstrate that the awake brain is close to a Hopf bifurcation, which naturally coincides with the emergence of globally correlated fMRI signals. Furthermore, simulating lesions of individual brain areas highlights the importance of connectivity hubs in the posterior brain and subcortical nuclei for maintaining the model in the awake state, as predicted by graph-theoretical analyses of structural data.
publishDate 2021
dc.date.none.fl_str_mv 2021-02
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/11336/181296
Hahn, Gerald; Zamora López, Gorka; Uhrig, Lynn; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; et al.; Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals; Academic Press; Journal Neuroimag; 226; 2-2021; 1-16
1053-8119
CONICET Digital
CONICET
url http://hdl.handle.net/11336/181296
identifier_str_mv Hahn, Gerald; Zamora López, Gorka; Uhrig, Lynn; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; et al.; Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals; Academic Press; Journal Neuroimag; 226; 2-2021; 1-16
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/doi/10.1016/j.neuroimage.2020.117470
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
publisher.none.fl_str_mv Academic Press
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_ 1842980410552745984
score 12.993085

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