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Brain Sciences
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Insight into Neural Mechanisms of Anesthesia Based on EEG and...
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Insight into Neural Mechanisms of Anesthesia Based on EEG and Other Brain Imaging

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".

Deadline for manuscript submissions: closed (9 April 2022) | Viewed by 2688

Special Issue Editors

Prof. Dr. Saotoshi Hagihira

E-Mail Website
Guest Editor
Department of Anesthesiology, Kansai Medical University, Hirakata, Japan
Interests: assessment of level of hypnosis and degree of analgesia by electroencephalogram
Prof. Dr. Jamie Sleigh

E-Mail Website
Co-Guest Editor
Faculty of Medical and Health Sciences, School of Medicine, University of Auckland, Auckland, New Zealand
Interests: EEG; anaesthesia; pharmacokinetics; consciousness; ketamine

Special Issue Information

Dear Colleagues,

For a long time, there has been debate about the nature of consciousness. In recent years, the theory that consciousness does not reside in a specific part of the brain but is based on the coordination of the cerebral cortex has been gaining popularity. In addition, the mechanisms of how anesthetics produce unconsciousness have been studied. This Special Issue of Brain Sciences aims to collect studies detailing the most recent advancements in the field of neuroscience and anesthesiology. Topics to be covered include how consciousness is formed and how anesthetics produce unconsciousness? Authors are invited to submit cutting-edge research and reviews that handle topics related to mechanisms of consciousness and unconsciousness induced by anesthetics. In particular, we aim to present articles that handle new analytic methods for electroencephalogram or brain imaging.

Prof. Dr. Saotoshi Hagihira
Guest Editor

Prof. Dr. Jamie Sleigh
Co-Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • consciousness
  • cortical connectivity
  • anesthesia
  • electroencephalogram
  • brain imaging

Published Papers (1 paper)

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Research

13 pages, 2245 KiB  
Article
Evaluation of Anesthetic Specific EEG Dynamics during State Transitions between Loss and Return of Responsiveness
by Matthias Kreuzer, Tobias Kiel, Leonie Ernst, Marlene Lipp, Gerhard Schneider and Stefanie Pilge
Brain Sci. 2022, 12(1), 37; https://doi.org/10.3390/brainsci12010037 - 28 Dec 2021
Cited by 7 | Viewed by 2346
Abstract
Purpose: electroencephalographic (EEG) information is used to monitor the level of cortical depression of a patient undergoing surgical intervention under general anesthesia. The dynamic state transitions into and out of anesthetic-induced loss and return of responsiveness (LOR, ROR) present a possibility to evaluate [...] Read more.
Purpose: electroencephalographic (EEG) information is used to monitor the level of cortical depression of a patient undergoing surgical intervention under general anesthesia. The dynamic state transitions into and out of anesthetic-induced loss and return of responsiveness (LOR, ROR) present a possibility to evaluate the dynamics of the EEG induced by different substances. We evaluated changes in the EEG power spectrum during anesthesia emergence for three different anesthetic regimens. We also assessed the possible impact of these changes on processed EEG parameters such as the permutation entropy (PeEn) and the cerebral state index (CSI). Methods: we analyzed the EEG from 45 patients, equally assigned to three groups. All patients were induced with propofol and the groups differed by the maintenance anesthetic regimen, i.e., sevoflurane, isoflurane, or propofol. We evaluated the EEG and parameter dynamics during LOR and ROR. For the emergence period, we focused on possible differences in the EEG dynamics in the different groups. Results: depending on the substance, the EEG emergence patterns showed significant differences that led to a substance-specific early activation of higher frequencies as indicated by the “wake” CSI values that occurred minutes before ROR in the inhalational anesthetic groups. Conclusion: our results highlight substance-specific differences in the emergence from anesthesia that can influence the EEG-based monitoring that probably have to be considered in order to improve neuromonitoring during general anesthesia. Full article
(This article belongs to the Special Issue Insight into Neural Mechanisms of Anesthesia Based on EEG and Other Brain Imaging)
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