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Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia

The re-establishment of conscious awareness after discontinuing general anesthesia has often been assumed to be the inverse of loss of consciousness. This is despite the obvious asymmetry in the initiation and termination of natural sleep. In order to characterize the restoration of consciousness af...

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Autores principales: Chander, Divya, García, Paul S., MacColl, Jono N., Illing, Sam, Sleigh, Jamie W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180055/
https://www.ncbi.nlm.nih.gov/pubmed/25264892
http://dx.doi.org/10.1371/journal.pone.0106291
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author Chander, Divya
García, Paul S.
MacColl, Jono N.
Illing, Sam
Sleigh, Jamie W.
author_facet Chander, Divya
García, Paul S.
MacColl, Jono N.
Illing, Sam
Sleigh, Jamie W.
author_sort Chander, Divya
collection PubMed
description The re-establishment of conscious awareness after discontinuing general anesthesia has often been assumed to be the inverse of loss of consciousness. This is despite the obvious asymmetry in the initiation and termination of natural sleep. In order to characterize the restoration of consciousness after surgery, we recorded frontal electroencephalograph (EEG) from 100 patients in the operating room during maintenance and emergence from general anesthesia. We have defined, for the first time, 4 steady-state patterns of anesthetic maintenance based on the relative EEG power in the slow-wave (<14 Hz) frequency bands that dominate sleep and anesthesia. Unlike single-drug experiments performed in healthy volunteers, we found that surgical patients exhibited greater electroencephalographic heterogeneity while re-establishing conscious awareness after drug discontinuation. Moreover, these emergence patterns could be broadly grouped according to the duration and rapidity of transitions amongst these slow-wave dominated brain states that precede awakening. Most patients progressed gradually from a pattern characterized by strong peaks of delta (0.5–4 Hz) and alpha/spindle (8–14 Hz) power (‘Slow-Wave Anesthesia’) to a state marked by low delta-spindle power (‘Non Slow-Wave Anesthesia’) before awakening. However, 31% of patients transitioned abruptly from Slow-Wave Anesthesia to waking; they were also more likely to express pain in the post-operative period. Our results, based on sleep-staging classification, provide the first systematized nomenclature for tracking brain states under general anesthesia from maintenance to emergence, and suggest that these transitions may correlate with post-operative outcomes such as pain.
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spelling pubmed-41800552014-10-07 Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia Chander, Divya García, Paul S. MacColl, Jono N. Illing, Sam Sleigh, Jamie W. PLoS One Research Article The re-establishment of conscious awareness after discontinuing general anesthesia has often been assumed to be the inverse of loss of consciousness. This is despite the obvious asymmetry in the initiation and termination of natural sleep. In order to characterize the restoration of consciousness after surgery, we recorded frontal electroencephalograph (EEG) from 100 patients in the operating room during maintenance and emergence from general anesthesia. We have defined, for the first time, 4 steady-state patterns of anesthetic maintenance based on the relative EEG power in the slow-wave (<14 Hz) frequency bands that dominate sleep and anesthesia. Unlike single-drug experiments performed in healthy volunteers, we found that surgical patients exhibited greater electroencephalographic heterogeneity while re-establishing conscious awareness after drug discontinuation. Moreover, these emergence patterns could be broadly grouped according to the duration and rapidity of transitions amongst these slow-wave dominated brain states that precede awakening. Most patients progressed gradually from a pattern characterized by strong peaks of delta (0.5–4 Hz) and alpha/spindle (8–14 Hz) power (‘Slow-Wave Anesthesia’) to a state marked by low delta-spindle power (‘Non Slow-Wave Anesthesia’) before awakening. However, 31% of patients transitioned abruptly from Slow-Wave Anesthesia to waking; they were also more likely to express pain in the post-operative period. Our results, based on sleep-staging classification, provide the first systematized nomenclature for tracking brain states under general anesthesia from maintenance to emergence, and suggest that these transitions may correlate with post-operative outcomes such as pain. Public Library of Science 2014-09-29 /pmc/articles/PMC4180055/ /pubmed/25264892 http://dx.doi.org/10.1371/journal.pone.0106291 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Chander, Divya
García, Paul S.
MacColl, Jono N.
Illing, Sam
Sleigh, Jamie W.
Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia
title Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia
title_full Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia
title_fullStr Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia
title_full_unstemmed Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia
title_short Electroencephalographic Variation during End Maintenance and Emergence from Surgical Anesthesia
title_sort electroencephalographic variation during end maintenance and emergence from surgical anesthesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180055/
https://www.ncbi.nlm.nih.gov/pubmed/25264892
http://dx.doi.org/10.1371/journal.pone.0106291
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