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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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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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 |
work_keys_str_mv |
AT sittjacobodiego largescalescreeningofneuralsignaturesofconsciousnessinpatientsinavegetativeorminimallyconsciousstate AT sigmanmariano largescalescreeningofneuralsignaturesofconsciousnessinpatientsinavegetativeorminimallyconsciousstate |
_version_ |
1768546519844126720 |