Swinburne
Browse

HCN1-mediated interactions of ketamine and propofol in a mean field model of the EEG

Download (554.18 kB)
journal contribution
posted on 2024-07-11, 15:36 authored by Ingo Bojak, Harry C. Day, David Liley
Ketamine and propofol, two popular anesthetic agents, are generally believed to operate via disparate primary mechanisms: ketamine through NMDA antagonism and propofol through the potentiation of GABAA-gated receptor currents. However, surprisingly the effect of ketamine on the EEG is markedly altered in the presence of propofol. Specifically, while ketamine alone results in a downshift of the peak frequency of the alpha rhythm, and propofol keeps it roughly constant - when administered together, they increase the alpha peak frequency. Recently it has been found that both ketamine and propofol inhibit the hyperpolarization-activated cyclic nucleotide-gated potassium channel form 1 (HCN1) subunits, which induces neuronal membrane hyperpolarization. Furthermore, HCN1 knockout mice are significantly less susceptible to hypnosis with these agents; but equally affected by HCN1-neutral etomidate. We show here that an established mean field model of electrocortical activity can predict the EEG changes induced by combining ketamine and propofol by taking into account merely the HCN1-mediated hyperpolarisations, but neglecting their supposed main mechanisms of action (NMDA and GABAA, respectively).

History

Available versions

PDF (Published version)

ISSN

1471-2202

Journal title

BMC Neuroscience: incorporating abstracts from 22nd Annual Computational Neuroscience Meeting (CNS 2013), Paris, France, 13-18 July 2013

Volume

14

Issue

1

Article number

article no. O22

Publisher

BioMed Central

Copyright statement

Copyright © 2013 Bojak et al; licensee BioMed Central Ltd. This an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC