Evidence map›Paper›PMID 37397237›Full record

ArticleFrontiers in systems neuroscience2023

Diversity of electroencephalographic patterns during propofol-induced burst suppression.

Keith G Jones, Carter Lybbert, Matthew J Euler, Jason Huang, Seth Lunt, Sindhu V Richards, Jacob E Jessop, Adam Larson, David H Odell, Kai Kuck and 2 more

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Keith G JonesInterdepartmental Program in Neuroscience, The University of Utah, Salt Lake City, UT, United States.
Carter LybbertDepartment of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.
Matthew J EulerDepartment of Psychology, The University of Utah, Salt Lake City, UT, United States.
Jason HuangDepartment of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.
Seth LuntDepartment of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.
Sindhu V RichardsDepartment of Neurology, The University of Utah, Salt Lake City, UT, United States.
Jacob E JessopDepartment of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.
Adam LarsonDepartment of Anesthesiology, The University of Utah, Salt Lake City, UT, United States.
David H OdellDepartment of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.
Kai KuckDepartment of Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.
Scott C TadlerDepartment of Psychiatry, Huntsman Mental Health Institute, The University of Utah, Salt Lake City, UT, United States.
Brian J MickeyInterdepartmental Program in Neuroscience, The University of Utah, Salt Lake City, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

anesthesiaburst suppressiondepressionelectroencephalograph (EEG)propofol

Identifiers

PMID37397237
PMCPMC10309040

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.