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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/60319
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:26:21Zoai: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:34982025-09-29 10:26:22.039CONICET 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 |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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