Literature DB >> 35962548

Bistable nerve conduction.

Zhaoyang Zhang1, Zhilin Qu2.   

Abstract

It has been demonstrated experimentally that slow and fast conduction waves with distinct conduction velocities can occur in the same nerve system depending on the strength or the form of the stimulus, which give rise to two modes of nerve functions. However, the mechanisms remain to be elucidated. In this study, we use computer simulations of the cable equation with modified Hodgkin-Huxley kinetics and analytical solutions of a simplified model to show that stimulus-dependent slow and fast waves recapitulating the experimental observations can occur in the cable, which are the two stable conduction states of a bistable conduction behavior. The bistable conduction is caused by a positive feedback loop of the wavefront upstroke speed, mediated by the sodium channel inactivation properties. Although the occurrence of bistable conduction only requires the presence of the sodium current, adding a calcium current to the model further promotes bistable conduction by potentiating the slow wave. We also show that the bistable conduction is robust, occurring for sodium and calcium activation thresholds well within the experimentally determined ones of the known sodium and calcium channel families. Since bistable conduction can occur in the cable equation of Hodgkin-Huxley kinetics with a single inward current, i.e., the sodium current, it can be a generic mechanism applicable to stimulus-dependent fast and slow conduction not only in the nerve systems but also in other electrically excitable systems, such as cardiac muscles.
Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2022        PMID: 35962548      PMCID: PMC9515125          DOI: 10.1016/j.bpj.2022.08.006

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   3.699


  34 in total

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Journal:  J Neurophysiol       Date:  2018-08-08       Impact factor: 2.714

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Journal:  J Comput Neurosci       Date:  2013-01-11       Impact factor: 1.621

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Journal:  Biophys J       Date:  1981-05       Impact factor: 4.033

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Authors:  R W Meech; G O Mackie
Journal:  J Neurophysiol       Date:  1993-03       Impact factor: 2.714

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