Unifying turbulent dynamics framework distinguishes different brain states

Autores
Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Uribe, Carme; Camara, Estela; Türker, Basak; Pyatigorskaya, Nadya; López González, Ane; Pallavicini, Carla; Panda, Rajanikant; Annen, Jitka; Gosseries, Olivia; Laureys, Steven; Naccache, Lionel; Sitt, Jacobo D.; Laufs, Helmut; Tagliazucchi, Enzo; Kringelbach, Morten L.; Deco, Gustavo
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Significant advances have been made by identifying the levels of synchrony of the underlying dynamics of a given brain state. This research has demonstrated that non-conscious dynamics tend to be more synchronous than in conscious states, which are more asynchronous. Here we go beyond this dichotomy to demonstrate that different brain states are underpinned by dissociable spatiotemporal dynamics. We investigated human neuroimaging data from different brain states (resting state, meditation, deep sleep and disorders of consciousness after coma). The model-free approach was based on Kuramoto’s turbulence framework using coupled oscillators. This was extended by a measure of the information cascade across spatial scales. Complementarily, the model-based approach used exhaustive in silico perturbations of whole-brain models fitted to these measures. This allowed studying of the information encoding capabilities in given brain states. Overall, this framework demonstrates that elements from turbulence theory provide excellent tools for describing and differentiating between brain states.
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Uribe, Carme. Universidad de Barcelona; España
Fil: Camara, Estela. Universidad de Barcelona; España
Fil: Türker, Basak. Inserm; Francia
Fil: Pyatigorskaya, Nadya. Université Pierre et Marie Curie; Francia. Inserm; Francia
Fil: López González, Ane. Universitat Pompeu Fabra; España
Fil: Pallavicini, Carla. Universidad de Buenos Aires; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; Argentina
Fil: Panda, Rajanikant. Université de Liège; Bélgica
Fil: Annen, Jitka. Université de Liège; Bélgica
Fil: Gosseries, Olivia. Université de Liège; Bélgica
Fil: Laureys, Steven. Université de Liège; Bélgica. Laval University; Canadá
Fil: Naccache, Lionel. Inserm; Francia
Fil: Sitt, Jacobo D.. Inserm; Francia
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania
Fil: Tagliazucchi, Enzo. Universidad de Buenos Aires; Argentina
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca
Fil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; España
Materia
Brain states
Consciousness
turbulent dynamics
whole brain models
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:11336/218045
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/218045
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Unifying turbulent dynamics framework distinguishes different brain statesEscrichs, AniraSanz Perl Hernandez, YonatanUribe, CarmeCamara, EstelaTürker, BasakPyatigorskaya, NadyaLópez González, AnePallavicini, CarlaPanda, RajanikantAnnen, JitkaGosseries, OliviaLaureys, StevenNaccache, LionelSitt, Jacobo D.Laufs, HelmutTagliazucchi, EnzoKringelbach, Morten L.Deco, GustavoBrain statesConsciousnessturbulent dynamicswhole brain modelshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Significant advances have been made by identifying the levels of synchrony of the underlying dynamics of a given brain state. This research has demonstrated that non-conscious dynamics tend to be more synchronous than in conscious states, which are more asynchronous. Here we go beyond this dichotomy to demonstrate that different brain states are underpinned by dissociable spatiotemporal dynamics. We investigated human neuroimaging data from different brain states (resting state, meditation, deep sleep and disorders of consciousness after coma). The model-free approach was based on Kuramoto’s turbulence framework using coupled oscillators. This was extended by a measure of the information cascade across spatial scales. Complementarily, the model-based approach used exhaustive in silico perturbations of whole-brain models fitted to these measures. This allowed studying of the information encoding capabilities in given brain states. Overall, this framework demonstrates that elements from turbulence theory provide excellent tools for describing and differentiating between brain states.Fil: Escrichs, Anira. Universitat Pompeu Fabra; EspañaFil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Uribe, Carme. Universidad de Barcelona; EspañaFil: Camara, Estela. Universidad de Barcelona; EspañaFil: Türker, Basak. Inserm; FranciaFil: Pyatigorskaya, Nadya. Université Pierre et Marie Curie; Francia. Inserm; FranciaFil: López González, Ane. Universitat Pompeu Fabra; EspañaFil: Pallavicini, Carla. Universidad de Buenos Aires; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; ArgentinaFil: Panda, Rajanikant. Université de Liège; BélgicaFil: Annen, Jitka. Université de Liège; BélgicaFil: Gosseries, Olivia. Université de Liège; BélgicaFil: Laureys, Steven. Université de Liège; Bélgica. Laval University; CanadáFil: Naccache, Lionel. Inserm; FranciaFil: Sitt, Jacobo D.. Inserm; FranciaFil: Laufs, Helmut. Goethe Universitat Frankfurt; AlemaniaFil: Tagliazucchi, Enzo. Universidad de Buenos Aires; ArgentinaFil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; DinamarcaFil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; EspañaNature2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/218045Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Uribe, Carme; Camara, Estela; Türker, Basak; et al.; Unifying turbulent dynamics framework distinguishes different brain states; Nature; Communications Biology; 5; 1; 12-2022; 1-132399-3642CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-022-03576-6info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:44:33Zoai:ri.conicet.gov.ar:11336/218045instacron: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:34982025-09-17 11:44:33.854CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Unifying turbulent dynamics framework distinguishes different brain states
title Unifying turbulent dynamics framework distinguishes different brain states
spellingShingle Unifying turbulent dynamics framework distinguishes different brain states
Escrichs, Anira
Brain states
Consciousness
turbulent dynamics
whole brain models
title_short Unifying turbulent dynamics framework distinguishes different brain states
title_full Unifying turbulent dynamics framework distinguishes different brain states
title_fullStr Unifying turbulent dynamics framework distinguishes different brain states
title_full_unstemmed Unifying turbulent dynamics framework distinguishes different brain states
title_sort Unifying turbulent dynamics framework distinguishes different brain states
dc.creator.none.fl_str_mv Escrichs, Anira
Sanz Perl Hernandez, Yonatan
Uribe, Carme
Camara, Estela
Türker, Basak
Pyatigorskaya, Nadya
López González, Ane
Pallavicini, Carla
Panda, Rajanikant
Annen, Jitka
Gosseries, Olivia
Laureys, Steven
Naccache, Lionel
Sitt, Jacobo D.
Laufs, Helmut
Tagliazucchi, Enzo
Kringelbach, Morten L.
Deco, Gustavo
author Escrichs, Anira
author_facet Escrichs, Anira
Sanz Perl Hernandez, Yonatan
Uribe, Carme
Camara, Estela
Türker, Basak
Pyatigorskaya, Nadya
López González, Ane
Pallavicini, Carla
Panda, Rajanikant
Annen, Jitka
Gosseries, Olivia
Laureys, Steven
Naccache, Lionel
Sitt, Jacobo D.
Laufs, Helmut
Tagliazucchi, Enzo
Kringelbach, Morten L.
Deco, Gustavo
author_role author
author2 Sanz Perl Hernandez, Yonatan
Uribe, Carme
Camara, Estela
Türker, Basak
Pyatigorskaya, Nadya
López González, Ane
Pallavicini, Carla
Panda, Rajanikant
Annen, Jitka
Gosseries, Olivia
Laureys, Steven
Naccache, Lionel
Sitt, Jacobo D.
Laufs, Helmut
Tagliazucchi, Enzo
Kringelbach, Morten L.
Deco, Gustavo
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Brain states
Consciousness
turbulent dynamics
whole brain models
topic Brain states
Consciousness
turbulent dynamics
whole brain models
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Significant advances have been made by identifying the levels of synchrony of the underlying dynamics of a given brain state. This research has demonstrated that non-conscious dynamics tend to be more synchronous than in conscious states, which are more asynchronous. Here we go beyond this dichotomy to demonstrate that different brain states are underpinned by dissociable spatiotemporal dynamics. We investigated human neuroimaging data from different brain states (resting state, meditation, deep sleep and disorders of consciousness after coma). The model-free approach was based on Kuramoto’s turbulence framework using coupled oscillators. This was extended by a measure of the information cascade across spatial scales. Complementarily, the model-based approach used exhaustive in silico perturbations of whole-brain models fitted to these measures. This allowed studying of the information encoding capabilities in given brain states. Overall, this framework demonstrates that elements from turbulence theory provide excellent tools for describing and differentiating between brain states.
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Uribe, Carme. Universidad de Barcelona; España
Fil: Camara, Estela. Universidad de Barcelona; España
Fil: Türker, Basak. Inserm; Francia
Fil: Pyatigorskaya, Nadya. Université Pierre et Marie Curie; Francia. Inserm; Francia
Fil: López González, Ane. Universitat Pompeu Fabra; España
Fil: Pallavicini, Carla. Universidad de Buenos Aires; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; Argentina
Fil: Panda, Rajanikant. Université de Liège; Bélgica
Fil: Annen, Jitka. Université de Liège; Bélgica
Fil: Gosseries, Olivia. Université de Liège; Bélgica
Fil: Laureys, Steven. Université de Liège; Bélgica. Laval University; Canadá
Fil: Naccache, Lionel. Inserm; Francia
Fil: Sitt, Jacobo D.. Inserm; Francia
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania
Fil: Tagliazucchi, Enzo. Universidad de Buenos Aires; Argentina
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca
Fil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; España
description Significant advances have been made by identifying the levels of synchrony of the underlying dynamics of a given brain state. This research has demonstrated that non-conscious dynamics tend to be more synchronous than in conscious states, which are more asynchronous. Here we go beyond this dichotomy to demonstrate that different brain states are underpinned by dissociable spatiotemporal dynamics. We investigated human neuroimaging data from different brain states (resting state, meditation, deep sleep and disorders of consciousness after coma). The model-free approach was based on Kuramoto’s turbulence framework using coupled oscillators. This was extended by a measure of the information cascade across spatial scales. Complementarily, the model-based approach used exhaustive in silico perturbations of whole-brain models fitted to these measures. This allowed studying of the information encoding capabilities in given brain states. Overall, this framework demonstrates that elements from turbulence theory provide excellent tools for describing and differentiating between brain states.
publishDate 2022
dc.date.none.fl_str_mv 2022-12
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/11336/218045
Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Uribe, Carme; Camara, Estela; Türker, Basak; et al.; Unifying turbulent dynamics framework distinguishes different brain states; Nature; Communications Biology; 5; 1; 12-2022; 1-13
2399-3642
CONICET Digital
CONICET
url http://hdl.handle.net/11336/218045
identifier_str_mv Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Uribe, Carme; Camara, Estela; Türker, Basak; et al.; Unifying turbulent dynamics framework distinguishes different brain states; Nature; Communications Biology; 5; 1; 12-2022; 1-13
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/s42003-022-03576-6
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
publisher.none.fl_str_mv Nature
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 13.000565

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