Diversity of electroencephalographic patterns during propofol-induced burst suppression.

anesthesia burst suppression depression electroencephalograph (EEG) propofol

Journal

Frontiers in systems neuroscience
ISSN: 1662-5137
Titre abrégé: Front Syst Neurosci
Pays: Switzerland
ID NLM: 101477946

Informations de publication

Date de publication:
2023
Historique:
received: 23 02 2023
accepted: 23 05 2023
medline: 3 7 2023
pubmed: 3 7 2023
entrez: 3 7 2023
Statut: epublish

Résumé

Burst suppression is a brain state consisting of high-amplitude electrical activity alternating with periods of quieter suppression that can be brought about by disease or by certain anesthetics. Although burst suppression has been studied for decades, few studies have investigated the diverse manifestations of this state within and between human subjects. As part of a clinical trial examining the antidepressant effects of propofol, we gathered burst suppression electroencephalographic (EEG) data from 114 propofol infusions across 21 human subjects with treatment-resistant depression. This data was examined with the objective of describing and quantifying electrical signal diversity. We observed three types of EEG burst activity: canonical broadband bursts (as frequently described in the literature), spindles (narrow-band oscillations reminiscent of sleep spindles), and a new feature that we call low-frequency bursts (LFBs), which are brief deflections of mainly sub-3-Hz power. These three features were distinct in both the time and frequency domains and their occurrence differed significantly across subjects, with some subjects showing many LFBs or spindles and others showing very few. Spectral-power makeup of each feature was also significantly different across subjects. In a subset of nine participants with high-density EEG recordings, we noted that each feature had a unique spatial pattern of amplitude and polarity when measured across the scalp. Finally, we observed that the Bispectral Index Monitor, a commonly used clinical EEG monitor, does not account for the diversity of EEG features when processing the burst suppression state. Overall, this study describes and quantifies variation in the burst suppression EEG state across subjects and repeated infusions of propofol. These findings have implications for the understanding of brain activity under anesthesia and for individualized dosing of anesthetic drugs.

Identifiants

pubmed: 37397237
doi: 10.3389/fnsys.2023.1172856
pmc: PMC10309040
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1172856

Informations de copyright

Copyright © 2023 Jones, Lybbert, Euler, Huang, Lunt, Richards, Jessop, Larson, Odell, Kuck, Tadler and Mickey.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Keith G Jones (KG)

Interdepartmental Program in Neuroscience, The University of Utah, Salt Lake City, UT, United States.
Department of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.

Carter Lybbert (C)

Department of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.
Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

Matthew J Euler (MJ)

Department of Psychology, The University of Utah, Salt Lake City, UT, United States.

Jason Huang (J)

Department of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.

Seth Lunt (S)

Department of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.

Sindhu V Richards (SV)

Department of Neurology, The University of Utah, Salt Lake City, UT, United States.

Jacob E Jessop (JE)

Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

Adam Larson (A)

Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

David H Odell (DH)

Department of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.
Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

Kai Kuck (K)

Department of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.
Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

Scott C Tadler (SC)

Department of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.
Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

Brian J Mickey (BJ)

Interdepartmental Program in Neuroscience, The University of Utah, Salt Lake City, UT, United States.
Department of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.
Department of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.
Department of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.

Classifications MeSH