4.6 Article

Electroencephalogram signatures of ketamine anesthesia-induced unconsciousness

Journal

CLINICAL NEUROPHYSIOLOGY
Volume 127, Issue 6, Pages 2414-2422

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.clinph.2016.03.005

Keywords

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

Funding

  1. National Institutes of Health, Bethesda, Maryland [DP2-OD006454, DP1-OD003646, TR01-GM104948]
  2. Foundation of Anesthesia Education and Research, Rochester, Minnesota
  3. Massachusetts General Hospital Faculty Development Award, Boston, MA
  4. Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA

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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 (0.1-4 Hz) and gamma (similar to 27-40 Hz) oscillations. This pattern was also associated with increased theta oscillations (similar to 4-8 Hz) and decreased alpha/beta oscillations (similar to 10-24 Hz). 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. (C) 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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