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1000 Titel
  • Continuity with caveats in anesthesia: state and response entropy of the EEG
1000 Autor/in
  1. Ebensperger, Max |
  2. Kreuzer, Matthias |
  3. Kratzer, Stephan |
  4. Schneider, Gerhard |
  5. Schwerin, Stefan |
1000 Verlag Springer Netherlands
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-03
1000 Erschienen in
1000 Quellenangabe
  • 38(5):1057-1068
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10877-024-01130-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427563/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>The growing use of neuromonitoring in general anesthesia provides detailed insights into the effects of anesthetics on the brain. Our study focuses on the processed EEG indices State Entropy (SE), Response Entropy (RE), and Burst Suppression Ratio (BSR) of the GE Entropy<jats:sup>TM</jats:sup> Module, which serve as surrogate measures for estimating the level of anesthesia. While retrospectively analyzing SE and RE index values from patient records, we encountered a technical anomaly with a conspicuous distribution of index values. In this single-center, retrospective study, we analyzed processed intraoperative electroencephalographic (EEG) data from 15,608 patients who underwent general anesthesia. We employed various data visualization techniques, including histograms and heat maps, and fitted custom non-Gaussian curves. Individual patients’ anesthetic periods were evaluated in detail. To compare distributions, we utilized the Kolmogorov–Smirnov test and Kullback–Leibler divergence. The analysis also included the influence of the BSR on the distribution of SE and RE values. We identified distinct <jats:italic>pillar </jats:italic>indices for both SE and RE, i.e., index values with a higher probability of occurrence than others. These<jats:italic> pillar </jats:italic>index values were not age-dependent and followed a non-equidistant distribution pattern. This phenomenon occurs independently of the BSR distribution. SE and RE index values do not adhere to a continuous distribution, instead displaying prominent <jats:italic>pillar </jats:italic> indices with a consistent pattern of occurrence across all age groups. The specific features of the underlying algorithm responsible for this pattern remain elusive.</jats:p>
1000 Sacherschließung
lokal Aged [MeSH]
lokal Electroencephalogram
lokal Intraoperative Neurophysiological Monitoring/methods [MeSH]
lokal Infant [MeSH]
lokal Male [MeSH]
lokal Burst suppression
lokal Entropy [MeSH]
lokal Original Research
lokal Child [MeSH]
lokal Monitoring, Intraoperative/methods [MeSH]
lokal State entropy
lokal Adolescent [MeSH]
lokal Algorithms [MeSH]
lokal Female [MeSH]
lokal Anesthesia
lokal Adult [MeSH]
lokal Electroencephalography/methods [MeSH]
lokal Humans [MeSH]
lokal Retrospective Studies [MeSH]
lokal Middle Aged [MeSH]
lokal Brain [MeSH]
lokal Signal Processing, Computer-Assisted [MeSH]
lokal Young Adult [MeSH]
lokal Response entropy
lokal Anesthesia, General [MeSH]
lokal Anesthetics/administration
lokal Child, Preschool [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0009-0002-3983-2405|https://orcid.org/0000-0003-2472-3556|https://frl.publisso.de/adhoc/uri/S3JhdHplciwgU3RlcGhhbg==|https://orcid.org/0000-0002-4903-0118|https://orcid.org/0009-0005-6307-3156
1000 Hinweis
  • DeepGreen-ID: a19d2103804d4d54813244e031ea8847 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Technische Universität München |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Technische Universität München |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6491662.rdf
1000 Erstellt am 2025-02-03T15:12:36.696+0100
1000 Erstellt von 322
1000 beschreibt frl:6491662
1000 Zuletzt bearbeitet 2025-09-14T07:19:35.739+0200
1000 Objekt bearb. Sun Sep 14 07:19:35 CEST 2025
1000 Vgl. frl:6491662
1000 Oai Id
  1. oai:frl.publisso.de:frl:6491662 |
1000 Sichtbarkeit Metadaten public
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