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Spectral EEG correlations from the different phases of general anesthesia

INTRODUCTION: Electroencephalography (EEG) signals contain transient oscillation patterns commonly used to classify brain states in responses to action, sleep, coma or anesthesia. METHODS: Using a time-frequency analysis of the EEG, we search for possible causal correlations between the successive p...

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Autores principales: Sun, Christophe, Longrois, Dan, Holcman, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025404/
https://www.ncbi.nlm.nih.gov/pubmed/36950512
http://dx.doi.org/10.3389/fmed.2023.1009434
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author Sun, Christophe
Longrois, Dan
Holcman, David
author_facet Sun, Christophe
Longrois, Dan
Holcman, David
author_sort Sun, Christophe
collection PubMed
description INTRODUCTION: Electroencephalography (EEG) signals contain transient oscillation patterns commonly used to classify brain states in responses to action, sleep, coma or anesthesia. METHODS: Using a time-frequency analysis of the EEG, we search for possible causal correlations between the successive phases of general anesthesia. We hypothesize that it could be possible to anticipate recovery patterns from the induction or maintenance phases. For that goal, we track the maximum power of the α−band and follow its time course. RESULTS AND DISCUSSION: We quantify the frequency shift of the α−band during the recovery phase and the associated duration. Using Pearson coefficient and Bayes factor, we report non-significant linear correlation between the α−band frequency and duration shifts during recovery and the presence of the δ or the α rhythms during the maintenance phase. We also found no correlations between the α−band emergence trajectory and the total duration of the flat EEG epochs (iso-electric suppressions) induced by a propofol bolus injected during induction. Finally, we quantify the instability of the α−band using the mathematical total variation that measures possible deviations from a flat line. To conclude, the present correlative analysis shows that EEG dynamics extracted from the initial and maintenance phases of general anesthesia cannot anticipate both the emergence trajectory and the extubation time.
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spelling pubmed-100254042023-03-21 Spectral EEG correlations from the different phases of general anesthesia Sun, Christophe Longrois, Dan Holcman, David Front Med (Lausanne) Medicine INTRODUCTION: Electroencephalography (EEG) signals contain transient oscillation patterns commonly used to classify brain states in responses to action, sleep, coma or anesthesia. METHODS: Using a time-frequency analysis of the EEG, we search for possible causal correlations between the successive phases of general anesthesia. We hypothesize that it could be possible to anticipate recovery patterns from the induction or maintenance phases. For that goal, we track the maximum power of the α−band and follow its time course. RESULTS AND DISCUSSION: We quantify the frequency shift of the α−band during the recovery phase and the associated duration. Using Pearson coefficient and Bayes factor, we report non-significant linear correlation between the α−band frequency and duration shifts during recovery and the presence of the δ or the α rhythms during the maintenance phase. We also found no correlations between the α−band emergence trajectory and the total duration of the flat EEG epochs (iso-electric suppressions) induced by a propofol bolus injected during induction. Finally, we quantify the instability of the α−band using the mathematical total variation that measures possible deviations from a flat line. To conclude, the present correlative analysis shows that EEG dynamics extracted from the initial and maintenance phases of general anesthesia cannot anticipate both the emergence trajectory and the extubation time. Frontiers Media S.A. 2023-03-06 /pmc/articles/PMC10025404/ /pubmed/36950512 http://dx.doi.org/10.3389/fmed.2023.1009434 Text en Copyright © 2023 Sun, Longrois and Holcman. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Sun, Christophe
Longrois, Dan
Holcman, David
Spectral EEG correlations from the different phases of general anesthesia
title Spectral EEG correlations from the different phases of general anesthesia
title_full Spectral EEG correlations from the different phases of general anesthesia
title_fullStr Spectral EEG correlations from the different phases of general anesthesia
title_full_unstemmed Spectral EEG correlations from the different phases of general anesthesia
title_short Spectral EEG correlations from the different phases of general anesthesia
title_sort spectral eeg correlations from the different phases of general anesthesia
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025404/
https://www.ncbi.nlm.nih.gov/pubmed/36950512
http://dx.doi.org/10.3389/fmed.2023.1009434
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