Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state

In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or consc...

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Autores principales: Sitt, Jacobo Diego, Sigman, Mariano
Publicado: 2014
Materias:
EEG
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00068950_v137_n8_p2258_Sitt
http://hdl.handle.net/20.500.12110/paper_00068950_v137_n8_p2258_Sitt
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spelling paper:paper_00068950_v137_n8_p2258_Sitt2023-06-08T14:31:26Z Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state Sitt, Jacobo Diego Sigman, Mariano consciousness EEG minimally conscious state unresponsive wakefulness syndrome vegetative state alpha rhythm article auditory stimulation consciousness electrode electroencephalogram electroencephalography human minimally conscious state neurologic examination persistent vegetative state priority journal systematic review theta rhythm wakefulness consciousness EEG minimally conscious state unresponsive wakefulness syndrome vegetative state Adolescent Adult Aged Aged, 80 and over Biological Markers Brain Brain Mapping Clinical Protocols Consciousness Disorders Electroencephalography Evoked Potentials Female Humans Male Middle Aged Persistent Vegetative State Trauma Severity Indices Young Adult In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or conscious state. Capitalizing on a review of previous experiments and current theories, we identify a series of measures that can be organized into four dimensions: (i) event-related potentials versus ongoing electroencephalography activity; (ii) local dynamics versus inter-electrode information exchange; (iii) spectral patterns versus information complexity; and (iv) average versus fluctuations over the recording session. We analysed a large set of 181 high-density electroencephalography recordings acquired in a 30 minutes protocol. We show that low-frequency power, electroencephalography complexity, and information exchange constitute the most reliable signatures of the conscious state. When combined, these measures synergize to allow an automatic classification of patients' state of consciousness. © 2014 The Author (2014). Fil:Sitt, J.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Sigman, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00068950_v137_n8_p2258_Sitt http://hdl.handle.net/20.500.12110/paper_00068950_v137_n8_p2258_Sitt
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic consciousness
EEG
minimally conscious state
unresponsive wakefulness syndrome
vegetative state
alpha rhythm
article
auditory stimulation
consciousness
electrode
electroencephalogram
electroencephalography
human
minimally conscious state
neurologic examination
persistent vegetative state
priority journal
systematic review
theta rhythm
wakefulness
consciousness
EEG
minimally conscious state
unresponsive wakefulness syndrome
vegetative state
Adolescent
Adult
Aged
Aged, 80 and over
Biological Markers
Brain
Brain Mapping
Clinical Protocols
Consciousness Disorders
Electroencephalography
Evoked Potentials
Female
Humans
Male
Middle Aged
Persistent Vegetative State
Trauma Severity Indices
Young Adult
spellingShingle consciousness
EEG
minimally conscious state
unresponsive wakefulness syndrome
vegetative state
alpha rhythm
article
auditory stimulation
consciousness
electrode
electroencephalogram
electroencephalography
human
minimally conscious state
neurologic examination
persistent vegetative state
priority journal
systematic review
theta rhythm
wakefulness
consciousness
EEG
minimally conscious state
unresponsive wakefulness syndrome
vegetative state
Adolescent
Adult
Aged
Aged, 80 and over
Biological Markers
Brain
Brain Mapping
Clinical Protocols
Consciousness Disorders
Electroencephalography
Evoked Potentials
Female
Humans
Male
Middle Aged
Persistent Vegetative State
Trauma Severity Indices
Young Adult
Sitt, Jacobo Diego
Sigman, Mariano
Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
topic_facet consciousness
EEG
minimally conscious state
unresponsive wakefulness syndrome
vegetative state
alpha rhythm
article
auditory stimulation
consciousness
electrode
electroencephalogram
electroencephalography
human
minimally conscious state
neurologic examination
persistent vegetative state
priority journal
systematic review
theta rhythm
wakefulness
consciousness
EEG
minimally conscious state
unresponsive wakefulness syndrome
vegetative state
Adolescent
Adult
Aged
Aged, 80 and over
Biological Markers
Brain
Brain Mapping
Clinical Protocols
Consciousness Disorders
Electroencephalography
Evoked Potentials
Female
Humans
Male
Middle Aged
Persistent Vegetative State
Trauma Severity Indices
Young Adult
description In recent years, numerous electrophysiological signatures of consciousness have been proposed. Here, we perform a systematic analysis of these electroencephalography markers by quantifying their efficiency in differentiating patients in a vegetative state from those in a minimally conscious or conscious state. Capitalizing on a review of previous experiments and current theories, we identify a series of measures that can be organized into four dimensions: (i) event-related potentials versus ongoing electroencephalography activity; (ii) local dynamics versus inter-electrode information exchange; (iii) spectral patterns versus information complexity; and (iv) average versus fluctuations over the recording session. We analysed a large set of 181 high-density electroencephalography recordings acquired in a 30 minutes protocol. We show that low-frequency power, electroencephalography complexity, and information exchange constitute the most reliable signatures of the conscious state. When combined, these measures synergize to allow an automatic classification of patients' state of consciousness. © 2014 The Author (2014).
author Sitt, Jacobo Diego
Sigman, Mariano
author_facet Sitt, Jacobo Diego
Sigman, Mariano
author_sort Sitt, Jacobo Diego
title Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
title_short Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
title_full Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
title_fullStr Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
title_full_unstemmed Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
title_sort large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
publishDate 2014
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00068950_v137_n8_p2258_Sitt
http://hdl.handle.net/20.500.12110/paper_00068950_v137_n8_p2258_Sitt
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