Brain–heart interactions reveal consciousness in noncommunicating patients

Autores
Raimondo, Federico; Rohaut, Benjamin; Demertzi, Athena; Valente, Melanie; Engemann, Denis; Salti, Moti; Fernandez Slezak, Diego; Naccache, Lionel; Sitt, Jacobo Diego
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objective: We here aimed at characterizing heart–brain interactions in patients with disorders of consciousness. We tested how this information impacts data-driven classification between unresponsive and minimally conscious patients. Methods: A cohort of 127 patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS; n = 70) and minimally conscious state (MCS; n = 57) were presented with the local–global auditory oddball paradigm, which distinguishes 2 levels of processing: short-term deviation of local auditory regularities and global long-term rule violations. In addition to previously validated markers of consciousness extracted from electroencephalograms (EEG), we computed autonomic cardiac markers, such as heart rate (HR) and HR variability (HRV), and cardiac cycle phase shifts triggered by the processing of the auditory stimuli. Results: HR and HRV were similar in patients across groups. The cardiac cycle was not sensitive to the processing of local regularities in either the VS/UWS or MCS patients. In contrast, global regularities induced a phase shift of the cardiac cycle exclusively in the MCS group. The interval between the auditory stimulation and the following R peak was significantly shortened in MCS when the auditory rule was violated. When the information for the cardiac cycle modulations and other consciousness-related EEG markers were combined, single patient classification performance was enhanced compared to classification with solely EEG markers. Interpretation: Our work shows a link between residual cognitive processing and the modulation of autonomic somatic markers. These results open a new window to evaluate patients with disorders of consciousness via the embodied paradigm, according to which body–brain functions contribute to a holistic approach to conscious processing. Ann Neurol 2017;82:578–591.
Fil: Raimondo, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina. Universite de Paris VI; Francia
Fil: Rohaut, Benjamin. Inserm; Francia
Fil: Demertzi, Athena. Inserm; Francia
Fil: Valente, Melanie. Inserm; Francia
Fil: Engemann, Denis. Inserm; Francia
Fil: Salti, Moti. University of the Negev; Israel
Fil: Fernandez Slezak, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina
Fil: Naccache, Lionel. Inserm; Francia
Fil: Sitt, Jacobo Diego. Inserm; Francia
Materia
Heart Beat
Machine Learning
Artificial Intelligence
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/60319
Acceder
id CONICETDig_8f66cdf1255d8ccf70468053a4ab6e44
oai_identifier_str oai:ri.conicet.gov.ar:11336/60319
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Brain–heart interactions reveal consciousness in noncommunicating patientsRaimondo, FedericoRohaut, BenjaminDemertzi, AthenaValente, MelanieEngemann, DenisSalti, MotiFernandez Slezak, DiegoNaccache, LionelSitt, Jacobo DiegoHeart BeatMachine LearningArtificial Intelligencehttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Objective: We here aimed at characterizing heart–brain interactions in patients with disorders of consciousness. We tested how this information impacts data-driven classification between unresponsive and minimally conscious patients. Methods: A cohort of 127 patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS; n = 70) and minimally conscious state (MCS; n = 57) were presented with the local–global auditory oddball paradigm, which distinguishes 2 levels of processing: short-term deviation of local auditory regularities and global long-term rule violations. In addition to previously validated markers of consciousness extracted from electroencephalograms (EEG), we computed autonomic cardiac markers, such as heart rate (HR) and HR variability (HRV), and cardiac cycle phase shifts triggered by the processing of the auditory stimuli. Results: HR and HRV were similar in patients across groups. The cardiac cycle was not sensitive to the processing of local regularities in either the VS/UWS or MCS patients. In contrast, global regularities induced a phase shift of the cardiac cycle exclusively in the MCS group. The interval between the auditory stimulation and the following R peak was significantly shortened in MCS when the auditory rule was violated. When the information for the cardiac cycle modulations and other consciousness-related EEG markers were combined, single patient classification performance was enhanced compared to classification with solely EEG markers. Interpretation: Our work shows a link between residual cognitive processing and the modulation of autonomic somatic markers. These results open a new window to evaluate patients with disorders of consciousness via the embodied paradigm, according to which body–brain functions contribute to a holistic approach to conscious processing. Ann Neurol 2017;82:578–591.Fil: Raimondo, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina. Universite de Paris VI; FranciaFil: Rohaut, Benjamin. Inserm; FranciaFil: Demertzi, Athena. Inserm; FranciaFil: Valente, Melanie. Inserm; FranciaFil: Engemann, Denis. Inserm; FranciaFil: Salti, Moti. University of the Negev; IsraelFil: Fernandez Slezak, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; ArgentinaFil: Naccache, Lionel. Inserm; FranciaFil: Sitt, Jacobo Diego. Inserm; FranciaWiley-liss, Div John Wiley & Sons Inc2017-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/60319Raimondo, Federico; Rohaut, Benjamin; Demertzi, Athena; Valente, Melanie; Engemann, Denis; et al.; Brain–heart interactions reveal consciousness in noncommunicating patients; Wiley-liss, Div John Wiley & Sons Inc; Annals Of Neurology; 82; 4; 10-2017; 578-5910364-5134CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/ana.25045info:eu-repo/semantics/altIdentifier/doi/10.1002/ana.25045info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:59:03Zoai:ri.conicet.gov.ar:11336/60319instacron: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:34982025-10-22 11:59:03.542CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Brain–heart interactions reveal consciousness in noncommunicating patients
title Brain–heart interactions reveal consciousness in noncommunicating patients
spellingShingle Brain–heart interactions reveal consciousness in noncommunicating patients
Raimondo, Federico
Heart Beat
Machine Learning
Artificial Intelligence
title_short Brain–heart interactions reveal consciousness in noncommunicating patients
title_full Brain–heart interactions reveal consciousness in noncommunicating patients
title_fullStr Brain–heart interactions reveal consciousness in noncommunicating patients
title_full_unstemmed Brain–heart interactions reveal consciousness in noncommunicating patients
title_sort Brain–heart interactions reveal consciousness in noncommunicating patients
dc.creator.none.fl_str_mv Raimondo, Federico
Rohaut, Benjamin
Demertzi, Athena
Valente, Melanie
Engemann, Denis
Salti, Moti
Fernandez Slezak, Diego
Naccache, Lionel
Sitt, Jacobo Diego
author Raimondo, Federico
author_facet Raimondo, Federico
Rohaut, Benjamin
Demertzi, Athena
Valente, Melanie
Engemann, Denis
Salti, Moti
Fernandez Slezak, Diego
Naccache, Lionel
Sitt, Jacobo Diego
author_role author
author2 Rohaut, Benjamin
Demertzi, Athena
Valente, Melanie
Engemann, Denis
Salti, Moti
Fernandez Slezak, Diego
Naccache, Lionel
Sitt, Jacobo Diego
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Heart Beat
Machine Learning
Artificial Intelligence
topic Heart Beat
Machine Learning
Artificial Intelligence
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Objective: We here aimed at characterizing heart–brain interactions in patients with disorders of consciousness. We tested how this information impacts data-driven classification between unresponsive and minimally conscious patients. Methods: A cohort of 127 patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS; n = 70) and minimally conscious state (MCS; n = 57) were presented with the local–global auditory oddball paradigm, which distinguishes 2 levels of processing: short-term deviation of local auditory regularities and global long-term rule violations. In addition to previously validated markers of consciousness extracted from electroencephalograms (EEG), we computed autonomic cardiac markers, such as heart rate (HR) and HR variability (HRV), and cardiac cycle phase shifts triggered by the processing of the auditory stimuli. Results: HR and HRV were similar in patients across groups. The cardiac cycle was not sensitive to the processing of local regularities in either the VS/UWS or MCS patients. In contrast, global regularities induced a phase shift of the cardiac cycle exclusively in the MCS group. The interval between the auditory stimulation and the following R peak was significantly shortened in MCS when the auditory rule was violated. When the information for the cardiac cycle modulations and other consciousness-related EEG markers were combined, single patient classification performance was enhanced compared to classification with solely EEG markers. Interpretation: Our work shows a link between residual cognitive processing and the modulation of autonomic somatic markers. These results open a new window to evaluate patients with disorders of consciousness via the embodied paradigm, according to which body–brain functions contribute to a holistic approach to conscious processing. Ann Neurol 2017;82:578–591.
Fil: Raimondo, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina. Universite de Paris VI; Francia
Fil: Rohaut, Benjamin. Inserm; Francia
Fil: Demertzi, Athena. Inserm; Francia
Fil: Valente, Melanie. Inserm; Francia
Fil: Engemann, Denis. Inserm; Francia
Fil: Salti, Moti. University of the Negev; Israel
Fil: Fernandez Slezak, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina
Fil: Naccache, Lionel. Inserm; Francia
Fil: Sitt, Jacobo Diego. Inserm; Francia
description Objective: We here aimed at characterizing heart–brain interactions in patients with disorders of consciousness. We tested how this information impacts data-driven classification between unresponsive and minimally conscious patients. Methods: A cohort of 127 patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS; n = 70) and minimally conscious state (MCS; n = 57) were presented with the local–global auditory oddball paradigm, which distinguishes 2 levels of processing: short-term deviation of local auditory regularities and global long-term rule violations. In addition to previously validated markers of consciousness extracted from electroencephalograms (EEG), we computed autonomic cardiac markers, such as heart rate (HR) and HR variability (HRV), and cardiac cycle phase shifts triggered by the processing of the auditory stimuli. Results: HR and HRV were similar in patients across groups. The cardiac cycle was not sensitive to the processing of local regularities in either the VS/UWS or MCS patients. In contrast, global regularities induced a phase shift of the cardiac cycle exclusively in the MCS group. The interval between the auditory stimulation and the following R peak was significantly shortened in MCS when the auditory rule was violated. When the information for the cardiac cycle modulations and other consciousness-related EEG markers were combined, single patient classification performance was enhanced compared to classification with solely EEG markers. Interpretation: Our work shows a link between residual cognitive processing and the modulation of autonomic somatic markers. These results open a new window to evaluate patients with disorders of consciousness via the embodied paradigm, according to which body–brain functions contribute to a holistic approach to conscious processing. Ann Neurol 2017;82:578–591.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
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/11336/60319
Raimondo, Federico; Rohaut, Benjamin; Demertzi, Athena; Valente, Melanie; Engemann, Denis; et al.; Brain–heart interactions reveal consciousness in noncommunicating patients; Wiley-liss, Div John Wiley & Sons Inc; Annals Of Neurology; 82; 4; 10-2017; 578-591
0364-5134
CONICET Digital
CONICET
url http://hdl.handle.net/11336/60319
identifier_str_mv Raimondo, Federico; Rohaut, Benjamin; Demertzi, Athena; Valente, Melanie; Engemann, Denis; et al.; Brain–heart interactions reveal consciousness in noncommunicating patients; Wiley-liss, Div John Wiley & Sons Inc; Annals Of Neurology; 82; 4; 10-2017; 578-591
0364-5134
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://onlinelibrary.wiley.com/doi/abs/10.1002/ana.25045
info:eu-repo/semantics/altIdentifier/doi/10.1002/ana.25045
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley-liss, Div John Wiley & Sons Inc
publisher.none.fl_str_mv Wiley-liss, Div John Wiley & Sons Inc
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_ 1846782308603920384
score 12.982451

Publicaciones similares