Sevoflurane Induces Coherent Slow-Delta Oscillations in Rats
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Author(s) • • • • • • • •
Stephen, Emily P.
Mayo, J. Patrick
Guidera, Jennifer
Taylor, Norman
Lee, Justin T.
Vlasov, Ksenia
Pei, JunZhu
Brown, Emery Neal
Solt, Ken
Date Issued
July 2017
Journal
Frontiers in Neural Circuits
Publisher
Frontiers Research Foundation
Citation
Guidera, Jennifer A. et al. “Sevoflurane Induces Coherent Slow-Delta Oscillations in Rats.” Frontiers in Neural Circuits 11 (July 2017): 36 © 2017 Guidera et al.
Version
Final published version
Abstract
Although general anesthetics are routinely administered to surgical patients to induce loss of consciousness, the mechanisms underlying anesthetic-induced unconsciousness are not fully understood. In rats, we characterized changes in the extradural EEG and intracranial local field potentials (LFPs) within the prefrontal cortex (PFC), parietal cortex (PC), and central thalamus (CT) in response to progressively higher doses of the inhaled anesthetic sevoflurane. During induction with a low dose of sevoflurane, beta/low gamma (12–40 Hz) power increased in the frontal EEG and PFC, PC and CT LFPs, and PFC–CT and PFC–PFC LFP beta/low gamma coherence increased. Loss of movement (LOM) coincided with an abrupt decrease in beta/low gamma PFC–CT LFP coherence. Following LOM, cortically coherent slow-delta (0.1–4 Hz) oscillations were observed in the frontal EEG and PFC, PC and CT LFPs. At higher doses of sevoflurane sufficient to induce loss of the righting reflex, coherent slow-delta oscillations were dominant in the frontal EEG and PFC, PC and CT LFPs. Dynamics similar to those observed during induction were observed as animals emerged from sevoflurane anesthesia. We conclude that the rat is a useful animal model for sevoflurane-induced EEG oscillations in humans, and that coherent slow-delta oscillations are a correlate of sevoflurane-induced behavioral arrest and loss of righting in rats.
MIT Department
Institute for Medical Engineering and Science
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Picower Institute for Learning and Memory
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Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.3389/fncir.2017.00036