Literature DB >> 27178861

Electroencephalogram signatures of ketamine anesthesia-induced unconsciousness.

Oluwaseun Akeju1, Andrew H Song2, Allison E Hamilos3, Kara J Pavone4, Francisco J Flores5, Emery N Brown6, Patrick L Purdon5.   

Abstract

OBJECTIVES: Ketamine is an N-methyl-d-aspartate (NMDA) receptor antagonist commonly administered as a general anesthetic. However, neural circuit mechanisms to explain ketamine anesthesia-induced unconsciousness in humans are yet to be clearly defined. Disruption of frontal-parietal network connectivity has been proposed as a mechanism to explain this brain state. However, this mechanism was recently demonstrated at subanesthetic doses of ketamine in awake-patients. Therefore, we investigated whether there is an electroencephalogram (EEG) signature specific for ketamine anesthesia-induced unconsciousness.
METHODS: We retrospectively studied the EEG in 12 patients who received ketamine for the induction of general anesthesia. We analyzed the EEG dynamics using power spectral and coherence methods.
RESULTS: Following the administration of a bolus dose of ketamine to induce unconsciousness, we observed a "gamma burst" EEG pattern that consisted of alternating slow-delta (0.1-4Hz) and gamma (∼27-40Hz) oscillations. This pattern was also associated with increased theta oscillations (∼4-8Hz) and decreased alpha/beta oscillations (∼10-24Hz).
CONCLUSIONS: Ketamine anesthesia-induced unconsciousness is associated with a gamma burst EEG pattern. SIGNIFICANCE: The EEG signature of ketamine anesthesia-induced unconsciousness may offer new insights into NMDA circuit mechanisms for unconsciousness.
Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Anesthesia; EEG; Gamma oscillations; Ketamine; Slow oscillations; Unconsciousness

Mesh:

Substances:

Year:  2016        PMID: 27178861      PMCID: PMC4871620          DOI: 10.1016/j.clinph.2016.03.005

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  41 in total

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