Low-dimensional organization of global brain states of reduced consciousness

Autores
Sanz Perl Hernandez, Yonatan; Pallavicini, Carla; Piccinini, Juan Ignacio; Demertzi, Athena; Bonhomme, Vincent; Martial, Charlotte; Panda, Rajanikant; Alnagger, Naji; Annen, Jitka; Gosseries, Olivia; Ibañez, Agustina; Laufs, Helmut; Sitt, Jacobo D.; Jirsa, Viktor K.; Kringelbach, Morten L.; Laureys, Steven; Deco, Gustavo; Tagliazucchi, Enzo Rodolfo
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Brain states are frequently represented using a unidimensional scale measuring the richness of subjective experience (level of consciousness). This description assumes a mapping between the high-dimensional space of whole-brain configurations and the trajectories of brain states associated with changes in consciousness, yet this mapping and its properties remain unclear. We combine whole-brain modeling, data augmentation, and deep learning for dimensionality reduction to determine a mapping representing states of consciousness in a low-dimensional space, where distances parallel similarities between states. An orderly trajectory from wakefulness to patients with brain injury is revealed in a latent space whose coordinates represent metrics related to functional modularity and structure-function coupling, increasing alongside loss of consciousness. Finally, we investigate the effects of model perturbations, providing geometrical interpretation for the stability and reversibility of states. We conclude that conscious awareness depends on functional patterns encoded as a low-dimensional trajectory within the vast space of brain configurations.
Fil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; España. Universidad de San Andrés; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Paris Brain Institute; Francia
Fil: Pallavicini, Carla. 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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Piccinini, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Demertzi, Athena. Université de Liège; Bélgica
Fil: Bonhomme, Vincent. Centre Hospitalier Regional de la Citadelle; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; Bélgica
Fil: Martial, Charlotte. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Panda, Rajanikant. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; Bélgica
Fil: Alnagger, Naji. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Annen, Jitka. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Gosseries, Olivia. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; Bélgica
Fil: Ibañez, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Trinity College Dublin; Irlanda. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania. Christian Albrechts Universitat Zu Kiel; Alemania
Fil: Sitt, Jacobo D.. Institut Du Cerveau Et de la Moelle Épinière; Francia. Inserm; Francia. Paris Brain Institute; Francia
Fil: Jirsa, Viktor K.. Institut de Neurosciences Des Systèmes; Francia
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca. Universidade do Minho; Portugal
Fil: Laureys, Steven. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España
Fil: Tagliazucchi, Enzo Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centre Hospitalier Universitaire de Liege; Bélgica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Materia
CP: NEUROSCIENCE
DEEP LEARNING
FMRI
LOW-DIMENSIONAL BRAIN DYNAMICS
REDUCED CONSCIOUSNESS
VARIATIONAL AUTOENCODERS
WHOLE-BRAIN MODELING
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:11336/228146
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/228146
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Low-dimensional organization of global brain states of reduced consciousnessSanz Perl Hernandez, YonatanPallavicini, CarlaPiccinini, Juan IgnacioDemertzi, AthenaBonhomme, VincentMartial, CharlottePanda, RajanikantAlnagger, NajiAnnen, JitkaGosseries, OliviaIbañez, AgustinaLaufs, HelmutSitt, Jacobo D.Jirsa, Viktor K.Kringelbach, Morten L.Laureys, StevenDeco, GustavoTagliazucchi, Enzo RodolfoCP: NEUROSCIENCEDEEP LEARNINGFMRILOW-DIMENSIONAL BRAIN DYNAMICSREDUCED CONSCIOUSNESSVARIATIONAL AUTOENCODERSWHOLE-BRAIN MODELINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Brain states are frequently represented using a unidimensional scale measuring the richness of subjective experience (level of consciousness). This description assumes a mapping between the high-dimensional space of whole-brain configurations and the trajectories of brain states associated with changes in consciousness, yet this mapping and its properties remain unclear. We combine whole-brain modeling, data augmentation, and deep learning for dimensionality reduction to determine a mapping representing states of consciousness in a low-dimensional space, where distances parallel similarities between states. An orderly trajectory from wakefulness to patients with brain injury is revealed in a latent space whose coordinates represent metrics related to functional modularity and structure-function coupling, increasing alongside loss of consciousness. Finally, we investigate the effects of model perturbations, providing geometrical interpretation for the stability and reversibility of states. We conclude that conscious awareness depends on functional patterns encoded as a low-dimensional trajectory within the vast space of brain configurations.Fil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; España. Universidad de San Andrés; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Paris Brain Institute; FranciaFil: Pallavicini, Carla. 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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Piccinini, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Demertzi, Athena. Université de Liège; BélgicaFil: Bonhomme, Vincent. Centre Hospitalier Regional de la Citadelle; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; BélgicaFil: Martial, Charlotte. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; BélgicaFil: Panda, Rajanikant. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; BélgicaFil: Alnagger, Naji. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; BélgicaFil: Annen, Jitka. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; BélgicaFil: Gosseries, Olivia. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; BélgicaFil: Ibañez, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Trinity College Dublin; Irlanda. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. University of California; Estados UnidosFil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania. Christian Albrechts Universitat Zu Kiel; AlemaniaFil: Sitt, Jacobo D.. Institut Du Cerveau Et de la Moelle Épinière; Francia. Inserm; Francia. Paris Brain Institute; FranciaFil: Jirsa, Viktor K.. Institut de Neurosciences Des Systèmes; FranciaFil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca. Universidade do Minho; PortugalFil: Laureys, Steven. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; BélgicaFil: Deco, Gustavo. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; EspañaFil: Tagliazucchi, Enzo Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centre Hospitalier Universitaire de Liege; Bélgica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaElsevier2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/228146Sanz Perl Hernandez, Yonatan; Pallavicini, Carla; Piccinini, Juan Ignacio; Demertzi, Athena; Bonhomme, Vincent; et al.; Low-dimensional organization of global brain states of reduced consciousness; Elsevier; Cell Reports; 42; 5; 5-2023; 1-172211-1247CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.celrep.2023.112491info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2211124723005028info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:02:02Zoai:ri.conicet.gov.ar:11336/228146instacron: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:34982025-09-03 10:02:03.039CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Low-dimensional organization of global brain states of reduced consciousness
title Low-dimensional organization of global brain states of reduced consciousness
spellingShingle Low-dimensional organization of global brain states of reduced consciousness
Sanz Perl Hernandez, Yonatan
CP: NEUROSCIENCE
DEEP LEARNING
FMRI
LOW-DIMENSIONAL BRAIN DYNAMICS
REDUCED CONSCIOUSNESS
VARIATIONAL AUTOENCODERS
WHOLE-BRAIN MODELING
title_short Low-dimensional organization of global brain states of reduced consciousness
title_full Low-dimensional organization of global brain states of reduced consciousness
title_fullStr Low-dimensional organization of global brain states of reduced consciousness
title_full_unstemmed Low-dimensional organization of global brain states of reduced consciousness
title_sort Low-dimensional organization of global brain states of reduced consciousness
dc.creator.none.fl_str_mv Sanz Perl Hernandez, Yonatan
Pallavicini, Carla
Piccinini, Juan Ignacio
Demertzi, Athena
Bonhomme, Vincent
Martial, Charlotte
Panda, Rajanikant
Alnagger, Naji
Annen, Jitka
Gosseries, Olivia
Ibañez, Agustina
Laufs, Helmut
Sitt, Jacobo D.
Jirsa, Viktor K.
Kringelbach, Morten L.
Laureys, Steven
Deco, Gustavo
Tagliazucchi, Enzo Rodolfo
author Sanz Perl Hernandez, Yonatan
author_facet Sanz Perl Hernandez, Yonatan
Pallavicini, Carla
Piccinini, Juan Ignacio
Demertzi, Athena
Bonhomme, Vincent
Martial, Charlotte
Panda, Rajanikant
Alnagger, Naji
Annen, Jitka
Gosseries, Olivia
Ibañez, Agustina
Laufs, Helmut
Sitt, Jacobo D.
Jirsa, Viktor K.
Kringelbach, Morten L.
Laureys, Steven
Deco, Gustavo
Tagliazucchi, Enzo Rodolfo
author_role author
author2 Pallavicini, Carla
Piccinini, Juan Ignacio
Demertzi, Athena
Bonhomme, Vincent
Martial, Charlotte
Panda, Rajanikant
Alnagger, Naji
Annen, Jitka
Gosseries, Olivia
Ibañez, Agustina
Laufs, Helmut
Sitt, Jacobo D.
Jirsa, Viktor K.
Kringelbach, Morten L.
Laureys, Steven
Deco, Gustavo
Tagliazucchi, Enzo Rodolfo
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 CP: NEUROSCIENCE
DEEP LEARNING
FMRI
LOW-DIMENSIONAL BRAIN DYNAMICS
REDUCED CONSCIOUSNESS
VARIATIONAL AUTOENCODERS
WHOLE-BRAIN MODELING
topic CP: NEUROSCIENCE
DEEP LEARNING
FMRI
LOW-DIMENSIONAL BRAIN DYNAMICS
REDUCED CONSCIOUSNESS
VARIATIONAL AUTOENCODERS
WHOLE-BRAIN MODELING
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 states are frequently represented using a unidimensional scale measuring the richness of subjective experience (level of consciousness). This description assumes a mapping between the high-dimensional space of whole-brain configurations and the trajectories of brain states associated with changes in consciousness, yet this mapping and its properties remain unclear. We combine whole-brain modeling, data augmentation, and deep learning for dimensionality reduction to determine a mapping representing states of consciousness in a low-dimensional space, where distances parallel similarities between states. An orderly trajectory from wakefulness to patients with brain injury is revealed in a latent space whose coordinates represent metrics related to functional modularity and structure-function coupling, increasing alongside loss of consciousness. Finally, we investigate the effects of model perturbations, providing geometrical interpretation for the stability and reversibility of states. We conclude that conscious awareness depends on functional patterns encoded as a low-dimensional trajectory within the vast space of brain configurations.
Fil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; España. Universidad de San Andrés; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Paris Brain Institute; Francia
Fil: Pallavicini, Carla. 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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Piccinini, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Demertzi, Athena. Université de Liège; Bélgica
Fil: Bonhomme, Vincent. Centre Hospitalier Regional de la Citadelle; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; Bélgica
Fil: Martial, Charlotte. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Panda, Rajanikant. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; Bélgica
Fil: Alnagger, Naji. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Annen, Jitka. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Gosseries, Olivia. Centre Hospitalier Universitaire de Liege; Bélgica. Université de Liège; Bélgica
Fil: Ibañez, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Trinity College Dublin; Irlanda. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania. Christian Albrechts Universitat Zu Kiel; Alemania
Fil: Sitt, Jacobo D.. Institut Du Cerveau Et de la Moelle Épinière; Francia. Inserm; Francia. Paris Brain Institute; Francia
Fil: Jirsa, Viktor K.. Institut de Neurosciences Des Systèmes; Francia
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca. Universidade do Minho; Portugal
Fil: Laureys, Steven. Université de Liège; Bélgica. Centre Hospitalier Universitaire de Liege; Bélgica
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España
Fil: Tagliazucchi, Enzo Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centre Hospitalier Universitaire de Liege; Bélgica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
description Brain states are frequently represented using a unidimensional scale measuring the richness of subjective experience (level of consciousness). This description assumes a mapping between the high-dimensional space of whole-brain configurations and the trajectories of brain states associated with changes in consciousness, yet this mapping and its properties remain unclear. We combine whole-brain modeling, data augmentation, and deep learning for dimensionality reduction to determine a mapping representing states of consciousness in a low-dimensional space, where distances parallel similarities between states. An orderly trajectory from wakefulness to patients with brain injury is revealed in a latent space whose coordinates represent metrics related to functional modularity and structure-function coupling, increasing alongside loss of consciousness. Finally, we investigate the effects of model perturbations, providing geometrical interpretation for the stability and reversibility of states. We conclude that conscious awareness depends on functional patterns encoded as a low-dimensional trajectory within the vast space of brain configurations.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
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/11336/228146
Sanz Perl Hernandez, Yonatan; Pallavicini, Carla; Piccinini, Juan Ignacio; Demertzi, Athena; Bonhomme, Vincent; et al.; Low-dimensional organization of global brain states of reduced consciousness; Elsevier; Cell Reports; 42; 5; 5-2023; 1-17
2211-1247
CONICET Digital
CONICET
url http://hdl.handle.net/11336/228146
identifier_str_mv Sanz Perl Hernandez, Yonatan; Pallavicini, Carla; Piccinini, Juan Ignacio; Demertzi, Athena; Bonhomme, Vincent; et al.; Low-dimensional organization of global brain states of reduced consciousness; Elsevier; Cell Reports; 42; 5; 5-2023; 1-17
2211-1247
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.celrep.2023.112491
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2211124723005028
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.13397

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