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The influence of induction speed on the frontal (processed) EEG

The intravenous injection of the anaesthetic propofol is clinical routine to induce loss of responsiveness (LOR). However, there are only a few studies investigating the influence of the injection rate on the frontal electroencephalogram (EEG) during LOR. Therefore, we focused on changes of the fron...

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Autores principales: Obert, D. P., Sepúlveda, P., Kratzer, S., Schneider, G., Kreuzer, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655958/
https://www.ncbi.nlm.nih.gov/pubmed/33173114
http://dx.doi.org/10.1038/s41598-020-76323-8
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author Obert, D. P.
Sepúlveda, P.
Kratzer, S.
Schneider, G.
Kreuzer, M.
author_facet Obert, D. P.
Sepúlveda, P.
Kratzer, S.
Schneider, G.
Kreuzer, M.
author_sort Obert, D. P.
collection PubMed
description The intravenous injection of the anaesthetic propofol is clinical routine to induce loss of responsiveness (LOR). However, there are only a few studies investigating the influence of the injection rate on the frontal electroencephalogram (EEG) during LOR. Therefore, we focused on changes of the frontal EEG especially during this period. We included 18 patients which were randomly assigned to a slow or fast induction group and recorded the frontal EEG. Based on this data, we calculated the power spectral density, the band powers and band ratios. To analyse the behaviour of processed EEG parameters we calculated the beta ratio, the spectral entropy, and the spectral edge frequency. Due to the prolonged induction period in the slow injection group we were able to distinguish loss of responsiveness to verbal command (LOvR) from loss of responsiveness to painful stimulus (LOpR) whereas in the fast induction group we could not. At LOpR, we observed a higher relative alpha and beta power in the slow induction group while the relative power in the delta range was lower than in the fast induction group. When concentrating on the slow induction group the increase in relative alpha power pre-LOpR and even before LOvR indicated that frontal EEG patterns, which have been suggested as an indicator of unconsciousness, can develop before LOR. Further, LOvR was best reflected by an increase of the alpha to delta ratio, and LOpR was indicated by a decrease of the beta to alpha ratio. These findings highlight the different spectral properties of the EEG at various levels of responsiveness and underline the influence of the propofol injection rate on the frontal EEG during induction of general anesthesia.
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spelling pubmed-76559582020-11-12 The influence of induction speed on the frontal (processed) EEG Obert, D. P. Sepúlveda, P. Kratzer, S. Schneider, G. Kreuzer, M. Sci Rep Article The intravenous injection of the anaesthetic propofol is clinical routine to induce loss of responsiveness (LOR). However, there are only a few studies investigating the influence of the injection rate on the frontal electroencephalogram (EEG) during LOR. Therefore, we focused on changes of the frontal EEG especially during this period. We included 18 patients which were randomly assigned to a slow or fast induction group and recorded the frontal EEG. Based on this data, we calculated the power spectral density, the band powers and band ratios. To analyse the behaviour of processed EEG parameters we calculated the beta ratio, the spectral entropy, and the spectral edge frequency. Due to the prolonged induction period in the slow injection group we were able to distinguish loss of responsiveness to verbal command (LOvR) from loss of responsiveness to painful stimulus (LOpR) whereas in the fast induction group we could not. At LOpR, we observed a higher relative alpha and beta power in the slow induction group while the relative power in the delta range was lower than in the fast induction group. When concentrating on the slow induction group the increase in relative alpha power pre-LOpR and even before LOvR indicated that frontal EEG patterns, which have been suggested as an indicator of unconsciousness, can develop before LOR. Further, LOvR was best reflected by an increase of the alpha to delta ratio, and LOpR was indicated by a decrease of the beta to alpha ratio. These findings highlight the different spectral properties of the EEG at various levels of responsiveness and underline the influence of the propofol injection rate on the frontal EEG during induction of general anesthesia. Nature Publishing Group UK 2020-11-10 /pmc/articles/PMC7655958/ /pubmed/33173114 http://dx.doi.org/10.1038/s41598-020-76323-8 Text en © The Author(s) 2020 Open Access This 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/.
spellingShingle Article
Obert, D. P.
Sepúlveda, P.
Kratzer, S.
Schneider, G.
Kreuzer, M.
The influence of induction speed on the frontal (processed) EEG
title The influence of induction speed on the frontal (processed) EEG
title_full The influence of induction speed on the frontal (processed) EEG
title_fullStr The influence of induction speed on the frontal (processed) EEG
title_full_unstemmed The influence of induction speed on the frontal (processed) EEG
title_short The influence of induction speed on the frontal (processed) EEG
title_sort influence of induction speed on the frontal (processed) eeg
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655958/
https://www.ncbi.nlm.nih.gov/pubmed/33173114
http://dx.doi.org/10.1038/s41598-020-76323-8
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