Anesthesiology · 2006 · 41 citations · 15 references
Life SciencesAnesthesiologyNeuroscienceAnesthesiaNeurophysiologySystems NeuroscienceChaos TheoryElectroencephalogram AnalysisElectroencephalogram Signal ProcessingElectroencephalographyNeural OscillationsAnesthesia MonitoringAttractor DynamicsAttractor NetworksChaotic Neural DynamicsEmergence PhenomenaNonlinear Dynamics AnalysisPilot Study DesignSevoflurane Anesthesia
BACKGROUND: New software was used during a pilot study of nonlinear changes in the electroencephalogram during emergence from sevoflurane anesthesia. METHODS: Digitized electroencephalographic signals were recorded from bipolar forehead electrodes between 1.2 and 40 k s/sec. Trajectories derived from underlying attractors were displayed continuously, and attractor dimensions were estimated. Observations are reported from 13 patients emerging from sevoflurane anesthesia. RESULTS: Qualitative observations and quantitative analysis of the data demonstrated four dynamical stages during emergence from deep anesthesia to consciousness. CONCLUSIONS: The dynamical stages of emergence from sevoflurane anesthesia into consciousness demonstrate a classic route toward chaos, but the presence of chaos in the conscious state remains unproven. These stages are apparent both pictorially and analytically. Pre-emergent attractor patterns are usually distinctive; their real-time display could be a useful adjunct to depth of anesthesia monitors because they may provide warning of an imminent return to consciousness.
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