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On mathematical modeling of the propagation of a wave ensemble within an individual axon

The long history of studying the propagation of an action potential has revealed that an electrical signal is accompanied by mechanical and thermal effects. All these effects together generate an ensemble of waves. The consistent models of such a complex phenomenon can be derived by using properly t...

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Autores principales: Peets, Tanel, Tamm, Kert, Engelbrecht, Jüri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416108/
https://www.ncbi.nlm.nih.gov/pubmed/37576569
http://dx.doi.org/10.3389/fncel.2023.1222785
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author Peets, Tanel
Tamm, Kert
Engelbrecht, Jüri
author_facet Peets, Tanel
Tamm, Kert
Engelbrecht, Jüri
author_sort Peets, Tanel
collection PubMed
description The long history of studying the propagation of an action potential has revealed that an electrical signal is accompanied by mechanical and thermal effects. All these effects together generate an ensemble of waves. The consistent models of such a complex phenomenon can be derived by using properly the fundamental physical principles. In this paper, attention is paid to the analysis of concepts of continuum physics that constitute a basis for deriving the mathematical models which describe the emergence and propagation of a wave ensemble in an axon. Such studies are interdisciplinary and based on biology, physics, mathematics, and chemistry. The governing equations for the action potential together with mechanical and thermal effects are derived starting from basics: Maxwell equations, conservation of momentum, Fourier's law, etc., but modified following experimental studies in electrophysiology. Several ideas from continuum physics like external forces and internal variables can also be used in deriving the corresponding models. Some mathematical concepts used in modeling are also briefly described. A brief overview of several mathematical models is presented that allows us to analyze the present ideas of modeling. Most mathematical models deal with the propagation of signals in a healthy axon. Further analysis is needed for better modeling the pathological situations and the explanation of the influence of the structural details like the myelin sheath or the cytoskeleton in the axoplasm. The future possible trends in improving the models are envisaged.
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spelling pubmed-104161082023-08-12 On mathematical modeling of the propagation of a wave ensemble within an individual axon Peets, Tanel Tamm, Kert Engelbrecht, Jüri Front Cell Neurosci Cellular Neuroscience The long history of studying the propagation of an action potential has revealed that an electrical signal is accompanied by mechanical and thermal effects. All these effects together generate an ensemble of waves. The consistent models of such a complex phenomenon can be derived by using properly the fundamental physical principles. In this paper, attention is paid to the analysis of concepts of continuum physics that constitute a basis for deriving the mathematical models which describe the emergence and propagation of a wave ensemble in an axon. Such studies are interdisciplinary and based on biology, physics, mathematics, and chemistry. The governing equations for the action potential together with mechanical and thermal effects are derived starting from basics: Maxwell equations, conservation of momentum, Fourier's law, etc., but modified following experimental studies in electrophysiology. Several ideas from continuum physics like external forces and internal variables can also be used in deriving the corresponding models. Some mathematical concepts used in modeling are also briefly described. A brief overview of several mathematical models is presented that allows us to analyze the present ideas of modeling. Most mathematical models deal with the propagation of signals in a healthy axon. Further analysis is needed for better modeling the pathological situations and the explanation of the influence of the structural details like the myelin sheath or the cytoskeleton in the axoplasm. The future possible trends in improving the models are envisaged. Frontiers Media S.A. 2023-07-27 /pmc/articles/PMC10416108/ /pubmed/37576569 http://dx.doi.org/10.3389/fncel.2023.1222785 Text en Copyright © 2023 Peets, Tamm and Engelbrecht. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular Neuroscience
Peets, Tanel
Tamm, Kert
Engelbrecht, Jüri
On mathematical modeling of the propagation of a wave ensemble within an individual axon
title On mathematical modeling of the propagation of a wave ensemble within an individual axon
title_full On mathematical modeling of the propagation of a wave ensemble within an individual axon
title_fullStr On mathematical modeling of the propagation of a wave ensemble within an individual axon
title_full_unstemmed On mathematical modeling of the propagation of a wave ensemble within an individual axon
title_short On mathematical modeling of the propagation of a wave ensemble within an individual axon
title_sort on mathematical modeling of the propagation of a wave ensemble within an individual axon
topic Cellular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416108/
https://www.ncbi.nlm.nih.gov/pubmed/37576569
http://dx.doi.org/10.3389/fncel.2023.1222785
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