Diversity of electroencephalographic patterns during propofol-induced burst suppression
Keith G Jones1,2, Carter Lybbert3,4, Matthew J Euler5
1Interdepartmental Program in Neuroscience, The University of Utah, Salt Lake City, UT, United States.
Frontiers in Systems Neuroscience
|July 3, 2023
Summary
Researchers identified three distinct electroencephalogram (EEG) burst patterns during anesthesia-induced burst suppression, revealing significant individual variations in these brain activity types.
Area of Science:
- Neuroscience
- Anesthesiology
- Signal Processing
Background:
- Burst suppression is a brain state characterized by alternating high-amplitude electrical activity and quiet periods.
- While studied for decades, the diversity of burst suppression manifestations within and between individuals remains under-explored.
- Propofol, an anesthetic, can induce burst suppression, making it a relevant model for studying this state.
Purpose of the Study:
- To describe and quantify the diversity of electroencephalogram (EEG) signal features during propofol-induced burst suppression.
- To investigate inter-individual variability in EEG burst activity patterns.
- To assess the capability of current clinical EEG monitors to capture this diversity.
Main Methods:
- Analysis of EEG data from 114 propofol infusions across 21 subjects with treatment-resistant depression.
- Identification and characterization of distinct EEG burst types: canonical broadband bursts, spindles, and low-frequency bursts (LFBs).
- High-density EEG recordings from a subset of participants to examine spatial patterns.
Main Results:
- Three distinct EEG burst types (canonical, spindles, LFBs) were identified, differing in time, frequency, and spectral-power characteristics.
- Significant inter-individual differences were observed in the occurrence and spectral-power makeup of these burst types.
- Unique spatial scalp distribution patterns were noted for each burst type in high-density EEG recordings.
- The Bispectral Index Monitor was found to not fully account for the observed EEG feature diversity.
Conclusions:
- Significant variability exists in EEG burst suppression patterns across individuals and propofol infusions.
- The identified EEG features (spindles, LFBs) represent novel aspects of burst suppression not typically captured by standard monitoring.
- Findings suggest potential for personalized anesthetic dosing and improved understanding of brain states under anesthesia.
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