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Sleep in disorders of consciousness: behavioral and polysomnographic recording
BACKGROUND: Sleep-wakefulness cycles are an essential diagnostic criterion for disorders of consciousness (DOC), differentiating prolonged DOC from coma. Specific sleep features, like the presence of sleep spindles, are an important marker for the prognosis of recovery from DOC. Based on increasing...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678091/ https://www.ncbi.nlm.nih.gov/pubmed/33213463 http://dx.doi.org/10.1186/s12916-020-01812-6 |
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author | Mertel, Isabella Pavlov, Yuri G. Barner, Christine Müller, Friedemann Diekelmann, Susanne Kotchoubey, Boris |
author_facet | Mertel, Isabella Pavlov, Yuri G. Barner, Christine Müller, Friedemann Diekelmann, Susanne Kotchoubey, Boris |
author_sort | Mertel, Isabella |
collection | PubMed |
description | BACKGROUND: Sleep-wakefulness cycles are an essential diagnostic criterion for disorders of consciousness (DOC), differentiating prolonged DOC from coma. Specific sleep features, like the presence of sleep spindles, are an important marker for the prognosis of recovery from DOC. Based on increasing evidence for a link between sleep and neuronal plasticity, understanding sleep in DOC might facilitate the development of novel methods for rehabilitation. Yet, well-controlled studies of sleep in DOC are lacking. Here, we aimed to quantify, on a reliable evaluation basis, the distribution of behavioral and neurophysiological sleep patterns in DOC over a 24-h period while controlling for environmental factors (by recruiting a group of conscious tetraplegic patients who resided in the same hospital). METHODS: We evaluated the distribution of sleep and wakefulness by means of polysomnography (EEG, EOG, EMG) and video recordings in 32 DOC patients (16 unresponsive wakefulness syndrome [UWS], 16 minimally conscious state [MCS]), and 10 clinical control patients with severe tetraplegia. Three independent raters scored the patients’ polysomnographic recordings. RESULTS: All but one patient (UWS) showed behavioral and electrophysiological signs of sleep. Control and MCS patients spent significantly more time in sleep during the night than during daytime, a pattern that was not evident in UWS. DOC patients (particularly UWS) exhibited less REM sleep than control patients. Forty-four percent of UWS patients and 12% of MCS patients did not have any REM sleep, while all control patients (100%) showed signs of all sleep stages and sleep spindles. Furthermore, no sleep spindles were found in 62% of UWS patients and 21% of MCS patients. In the remaining DOC patients who had spindles, their number and amplitude were significantly lower than in controls. CONCLUSIONS: The distribution of sleep signs in DOC over 24 h differs significantly from the normal sleep-wakefulness pattern. These abnormalities of sleep in DOC are independent of external factors such as severe immobility and hospital environment. |
format | Online Article Text |
id | pubmed-7678091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76780912020-11-20 Sleep in disorders of consciousness: behavioral and polysomnographic recording Mertel, Isabella Pavlov, Yuri G. Barner, Christine Müller, Friedemann Diekelmann, Susanne Kotchoubey, Boris BMC Med Research Article BACKGROUND: Sleep-wakefulness cycles are an essential diagnostic criterion for disorders of consciousness (DOC), differentiating prolonged DOC from coma. Specific sleep features, like the presence of sleep spindles, are an important marker for the prognosis of recovery from DOC. Based on increasing evidence for a link between sleep and neuronal plasticity, understanding sleep in DOC might facilitate the development of novel methods for rehabilitation. Yet, well-controlled studies of sleep in DOC are lacking. Here, we aimed to quantify, on a reliable evaluation basis, the distribution of behavioral and neurophysiological sleep patterns in DOC over a 24-h period while controlling for environmental factors (by recruiting a group of conscious tetraplegic patients who resided in the same hospital). METHODS: We evaluated the distribution of sleep and wakefulness by means of polysomnography (EEG, EOG, EMG) and video recordings in 32 DOC patients (16 unresponsive wakefulness syndrome [UWS], 16 minimally conscious state [MCS]), and 10 clinical control patients with severe tetraplegia. Three independent raters scored the patients’ polysomnographic recordings. RESULTS: All but one patient (UWS) showed behavioral and electrophysiological signs of sleep. Control and MCS patients spent significantly more time in sleep during the night than during daytime, a pattern that was not evident in UWS. DOC patients (particularly UWS) exhibited less REM sleep than control patients. Forty-four percent of UWS patients and 12% of MCS patients did not have any REM sleep, while all control patients (100%) showed signs of all sleep stages and sleep spindles. Furthermore, no sleep spindles were found in 62% of UWS patients and 21% of MCS patients. In the remaining DOC patients who had spindles, their number and amplitude were significantly lower than in controls. CONCLUSIONS: The distribution of sleep signs in DOC over 24 h differs significantly from the normal sleep-wakefulness pattern. These abnormalities of sleep in DOC are independent of external factors such as severe immobility and hospital environment. BioMed Central 2020-11-20 /pmc/articles/PMC7678091/ /pubmed/33213463 http://dx.doi.org/10.1186/s12916-020-01812-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mertel, Isabella Pavlov, Yuri G. Barner, Christine Müller, Friedemann Diekelmann, Susanne Kotchoubey, Boris Sleep in disorders of consciousness: behavioral and polysomnographic recording |
title | Sleep in disorders of consciousness: behavioral and polysomnographic recording |
title_full | Sleep in disorders of consciousness: behavioral and polysomnographic recording |
title_fullStr | Sleep in disorders of consciousness: behavioral and polysomnographic recording |
title_full_unstemmed | Sleep in disorders of consciousness: behavioral and polysomnographic recording |
title_short | Sleep in disorders of consciousness: behavioral and polysomnographic recording |
title_sort | sleep in disorders of consciousness: behavioral and polysomnographic recording |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678091/ https://www.ncbi.nlm.nih.gov/pubmed/33213463 http://dx.doi.org/10.1186/s12916-020-01812-6 |
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