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Published on: January 13, 2018
Nonlinear changes in brain dynamics during emergence from sevoflurane anesthesia: preliminary exploration using new
Peter T Walling1, Kenneth N Hicks
1Department of Anesthesia and Pain Management, University of Texas Southwestern Medical Center, Dallas, Texas, USA. quailrf@airmail.net
Anesthesiology
|October 27, 2006
Summary
Researchers studied nonlinear electroencephalogram changes during sevoflurane anesthesia emergence. Four dynamical stages were identified, potentially aiding in monitoring patient consciousness levels.
Area of Science:
- Anesthesiology
- Neuroscience
- Complexity Science
Background:
- A pilot study investigated nonlinear electroencephalogram (EEG) changes during emergence from sevoflurane anesthesia.
- Novel software was employed to analyze these complex EEG patterns.
Purpose of the Study:
- To characterize the dynamical stages of electroencephalogram activity during emergence from sevoflurane anesthesia.
- To explore the potential of these patterns as indicators for monitoring anesthetic depth and patient consciousness.
Main Methods:
- Digitized EEG signals were recorded from 13 patients using bipolar forehead electrodes.
- Software was used to display continuous trajectories derived from underlying attractors and estimate attractor dimensions.
Main Results:
- Four distinct dynamical stages were identified during the emergence process from deep anesthesia to consciousness.
- Both qualitative observations and quantitative analysis supported the existence of these stages.
Conclusions:
- The observed dynamical stages during emergence follow a path toward chaos, though chaos in the conscious state is unproven.
- Distinct pre-emergent attractor patterns may serve as valuable real-time indicators for depth of anesthesia monitoring, potentially warning of impending consciousness return.

