Detection of EEG dynamic complex patterns in disorders of consciousness

Autores
Della Bella, Gabriel Alejandro; Zang, Di; Gui, Peng; Mateos, Diego Martín; Sitt, Jacobo Diego; Bekinschtein, Tristán Andrés; Manasova, Dragana; Sarton, Benjamine; Ferre, Fabrice; Silva, Stein; Lamberti, Pedro Walter; Wu, Xuehai; Mao, Ying; Wang, Liping; Barttfeld, Pablo
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Diagnosing Disorders of Consciousness (DoC) remains a critical challenge in cognitive neuroscience. In this study we introduce Electroencephalography (EEG)-based brain states as a real-time, bedside tool for assessing dynamic brain connectivity in DoC patients. We analyze EEG data from 237 acute and chronic DoC patients across three centers, identifying five recurrent functional connectivity patterns. The probability of these patterns correlated strongly with consciousness levels, with high-entropy patterns exclusive to healthy controls and low-entropy patterns prevalent in severe DoC, predicting individual recovery outcomes. Real-time testing validated reliable bedside detection of these patterns. Our findings demonstrate EEG’s potential for monitoring dynamic brain connectivity, offering insights into the neural basis of consciousness and advancing diagnostic strategies for DoC.
Fil: Della Bella, Gabriel Alejandro. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Zang, Di. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; China
Fil: Gui, Peng. Chinese Academy of Sciences; República de China
Fil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Achucarro Basque Center for Neuroscience; España
Fil: Sitt, Jacobo Diego. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Sorbonne University; Francia
Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino Unido
Fil: Manasova, Dragana. Sorbonne University; Francia. Université Paris Cité; Francia
Fil: Sarton, Benjamine. Hôpital de Purpan; Francia
Fil: Ferre, Fabrice. Hôpital de Purpan; Francia
Fil: Silva, Stein. Hôpital de Purpan; Francia
Fil: Lamberti, Pedro Walter. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Jagiellonian University;
Fil: Wu, Xuehai. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; China
Fil: Mao, Ying. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; China
Fil: Wang, Liping. Chinese Academy of Sciences; República de China
Fil: Barttfeld, Pablo. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina
Materia
Consciousness
Coma
EEG
Connectivity
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:11336/289782
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/289782
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Detection of EEG dynamic complex patterns in disorders of consciousnessDella Bella, Gabriel AlejandroZang, DiGui, PengMateos, Diego MartínSitt, Jacobo DiegoBekinschtein, Tristán AndrésManasova, DraganaSarton, BenjamineFerre, FabriceSilva, SteinLamberti, Pedro WalterWu, XuehaiMao, YingWang, LipingBarttfeld, PabloConsciousnessComaEEGConnectivityhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Diagnosing Disorders of Consciousness (DoC) remains a critical challenge in cognitive neuroscience. In this study we introduce Electroencephalography (EEG)-based brain states as a real-time, bedside tool for assessing dynamic brain connectivity in DoC patients. We analyze EEG data from 237 acute and chronic DoC patients across three centers, identifying five recurrent functional connectivity patterns. The probability of these patterns correlated strongly with consciousness levels, with high-entropy patterns exclusive to healthy controls and low-entropy patterns prevalent in severe DoC, predicting individual recovery outcomes. Real-time testing validated reliable bedside detection of these patterns. Our findings demonstrate EEG’s potential for monitoring dynamic brain connectivity, offering insights into the neural basis of consciousness and advancing diagnostic strategies for DoC.Fil: Della Bella, Gabriel Alejandro. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Zang, Di. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; ChinaFil: Gui, Peng. Chinese Academy of Sciences; República de ChinaFil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Achucarro Basque Center for Neuroscience; EspañaFil: Sitt, Jacobo Diego. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Sorbonne University; FranciaFil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino UnidoFil: Manasova, Dragana. Sorbonne University; Francia. Université Paris Cité; FranciaFil: Sarton, Benjamine. Hôpital de Purpan; FranciaFil: Ferre, Fabrice. Hôpital de Purpan; FranciaFil: Silva, Stein. Hôpital de Purpan; FranciaFil: Lamberti, Pedro Walter. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Jagiellonian University;Fil: Wu, Xuehai. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; ChinaFil: Mao, Ying. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; ChinaFil: Wang, Liping. Chinese Academy of Sciences; República de ChinaFil: Barttfeld, Pablo. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; ArgentinaNature Publishing Group2025-08info: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/11336/289782Della Bella, Gabriel Alejandro; Zang, Di; Gui, Peng; Mateos, Diego Martín; Sitt, Jacobo Diego; et al.; Detection of EEG dynamic complex patterns in disorders of consciousness; Nature Publishing Group; Communications Biology; 8; 1; 8-2025; 1-112399-3642CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-025-08666-9info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-025-08666-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:46:47Zoai:ri.conicet.gov.ar:11336/289782instacron: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:34982026-08-25 15:46:48.489CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detection of EEG dynamic complex patterns in disorders of consciousness
title Detection of EEG dynamic complex patterns in disorders of consciousness
spellingShingle Detection of EEG dynamic complex patterns in disorders of consciousness
Della Bella, Gabriel Alejandro
Consciousness
Coma
EEG
Connectivity
title_short Detection of EEG dynamic complex patterns in disorders of consciousness
title_full Detection of EEG dynamic complex patterns in disorders of consciousness
title_fullStr Detection of EEG dynamic complex patterns in disorders of consciousness
title_full_unstemmed Detection of EEG dynamic complex patterns in disorders of consciousness
title_sort Detection of EEG dynamic complex patterns in disorders of consciousness
dc.creator.none.fl_str_mv Della Bella, Gabriel Alejandro
Zang, Di
Gui, Peng
Mateos, Diego Martín
Sitt, Jacobo Diego
Bekinschtein, Tristán Andrés
Manasova, Dragana
Sarton, Benjamine
Ferre, Fabrice
Silva, Stein
Lamberti, Pedro Walter
Wu, Xuehai
Mao, Ying
Wang, Liping
Barttfeld, Pablo
author Della Bella, Gabriel Alejandro
author_facet Della Bella, Gabriel Alejandro
Zang, Di
Gui, Peng
Mateos, Diego Martín
Sitt, Jacobo Diego
Bekinschtein, Tristán Andrés
Manasova, Dragana
Sarton, Benjamine
Ferre, Fabrice
Silva, Stein
Lamberti, Pedro Walter
Wu, Xuehai
Mao, Ying
Wang, Liping
Barttfeld, Pablo
author_role author
author2 Zang, Di
Gui, Peng
Mateos, Diego Martín
Sitt, Jacobo Diego
Bekinschtein, Tristán Andrés
Manasova, Dragana
Sarton, Benjamine
Ferre, Fabrice
Silva, Stein
Lamberti, Pedro Walter
Wu, Xuehai
Mao, Ying
Wang, Liping
Barttfeld, Pablo
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Consciousness
Coma
EEG
Connectivity
topic Consciousness
Coma
EEG
Connectivity
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Diagnosing Disorders of Consciousness (DoC) remains a critical challenge in cognitive neuroscience. In this study we introduce Electroencephalography (EEG)-based brain states as a real-time, bedside tool for assessing dynamic brain connectivity in DoC patients. We analyze EEG data from 237 acute and chronic DoC patients across three centers, identifying five recurrent functional connectivity patterns. The probability of these patterns correlated strongly with consciousness levels, with high-entropy patterns exclusive to healthy controls and low-entropy patterns prevalent in severe DoC, predicting individual recovery outcomes. Real-time testing validated reliable bedside detection of these patterns. Our findings demonstrate EEG’s potential for monitoring dynamic brain connectivity, offering insights into the neural basis of consciousness and advancing diagnostic strategies for DoC.
Fil: Della Bella, Gabriel Alejandro. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Zang, Di. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; China
Fil: Gui, Peng. Chinese Academy of Sciences; República de China
Fil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Achucarro Basque Center for Neuroscience; España
Fil: Sitt, Jacobo Diego. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Sorbonne University; Francia
Fil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino Unido
Fil: Manasova, Dragana. Sorbonne University; Francia. Université Paris Cité; Francia
Fil: Sarton, Benjamine. Hôpital de Purpan; Francia
Fil: Ferre, Fabrice. Hôpital de Purpan; Francia
Fil: Silva, Stein. Hôpital de Purpan; Francia
Fil: Lamberti, Pedro Walter. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Jagiellonian University;
Fil: Wu, Xuehai. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; China
Fil: Mao, Ying. Fudan University; China. National Center for Neurological Disorders; China. Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration; China. Shanghai Clinical Medical Center of Neurosurgery; China. China-Japan Friendship Hospital; China
Fil: Wang, Liping. Chinese Academy of Sciences; República de China
Fil: Barttfeld, Pablo. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina
description Diagnosing Disorders of Consciousness (DoC) remains a critical challenge in cognitive neuroscience. In this study we introduce Electroencephalography (EEG)-based brain states as a real-time, bedside tool for assessing dynamic brain connectivity in DoC patients. We analyze EEG data from 237 acute and chronic DoC patients across three centers, identifying five recurrent functional connectivity patterns. The probability of these patterns correlated strongly with consciousness levels, with high-entropy patterns exclusive to healthy controls and low-entropy patterns prevalent in severe DoC, predicting individual recovery outcomes. Real-time testing validated reliable bedside detection of these patterns. Our findings demonstrate EEG’s potential for monitoring dynamic brain connectivity, offering insights into the neural basis of consciousness and advancing diagnostic strategies for DoC.
publishDate 2025
dc.date.none.fl_str_mv 2025-08
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/11336/289782
Della Bella, Gabriel Alejandro; Zang, Di; Gui, Peng; Mateos, Diego Martín; Sitt, Jacobo Diego; et al.; Detection of EEG dynamic complex patterns in disorders of consciousness; Nature Publishing Group; Communications Biology; 8; 1; 8-2025; 1-11
2399-3642
CONICET Digital
CONICET
url http://hdl.handle.net/11336/289782
identifier_str_mv Della Bella, Gabriel Alejandro; Zang, Di; Gui, Peng; Mateos, Diego Martín; Sitt, Jacobo Diego; et al.; Detection of EEG dynamic complex patterns in disorders of consciousness; Nature Publishing Group; Communications Biology; 8; 1; 8-2025; 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/url/https://www.nature.com/articles/s42003-025-08666-9
info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-025-08666-9
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 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 13.265058

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