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Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries
Mathematical models for excitable cells are commonly based on cable theory, which considers a homogenized domain and spatially constant ionic concentrations. Although such models provide valuable insight, the effect of altered ion concentrations or detailed cell morphology on the electrical potentia...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109287/ https://www.ncbi.nlm.nih.gov/pubmed/32269519 http://dx.doi.org/10.3389/fninf.2020.00011 |
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author | Ellingsrud, Ada J. Solbrå, Andreas Einevoll, Gaute T. Halnes, Geir Rognes, Marie E. |
author_facet | Ellingsrud, Ada J. Solbrå, Andreas Einevoll, Gaute T. Halnes, Geir Rognes, Marie E. |
author_sort | Ellingsrud, Ada J. |
collection | PubMed |
description | Mathematical models for excitable cells are commonly based on cable theory, which considers a homogenized domain and spatially constant ionic concentrations. Although such models provide valuable insight, the effect of altered ion concentrations or detailed cell morphology on the electrical potentials cannot be captured. In this paper, we discuss an alternative approach to detailed modeling of electrodiffusion in neural tissue. The mathematical model describes the distribution and evolution of ion concentrations in a geometrically-explicit representation of the intra- and extracellular domains. As a combination of the electroneutral Kirchhoff-Nernst-Planck (KNP) model and the Extracellular-Membrane-Intracellular (EMI) framework, we refer to this model as the KNP-EMI model. Here, we introduce and numerically evaluate a new, finite element-based numerical scheme for the KNP-EMI model, capable of efficiently and flexibly handling geometries of arbitrary dimension and arbitrary polynomial degree. Moreover, we compare the electrical potentials predicted by the KNP-EMI and EMI models. Finally, we study ephaptic coupling induced in an unmyelinated axon bundle and demonstrate how the KNP-EMI framework can give new insights in this setting. |
format | Online Article Text |
id | pubmed-7109287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71092872020-04-08 Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries Ellingsrud, Ada J. Solbrå, Andreas Einevoll, Gaute T. Halnes, Geir Rognes, Marie E. Front Neuroinform Neuroscience Mathematical models for excitable cells are commonly based on cable theory, which considers a homogenized domain and spatially constant ionic concentrations. Although such models provide valuable insight, the effect of altered ion concentrations or detailed cell morphology on the electrical potentials cannot be captured. In this paper, we discuss an alternative approach to detailed modeling of electrodiffusion in neural tissue. The mathematical model describes the distribution and evolution of ion concentrations in a geometrically-explicit representation of the intra- and extracellular domains. As a combination of the electroneutral Kirchhoff-Nernst-Planck (KNP) model and the Extracellular-Membrane-Intracellular (EMI) framework, we refer to this model as the KNP-EMI model. Here, we introduce and numerically evaluate a new, finite element-based numerical scheme for the KNP-EMI model, capable of efficiently and flexibly handling geometries of arbitrary dimension and arbitrary polynomial degree. Moreover, we compare the electrical potentials predicted by the KNP-EMI and EMI models. Finally, we study ephaptic coupling induced in an unmyelinated axon bundle and demonstrate how the KNP-EMI framework can give new insights in this setting. Frontiers Media S.A. 2020-03-25 /pmc/articles/PMC7109287/ /pubmed/32269519 http://dx.doi.org/10.3389/fninf.2020.00011 Text en Copyright © 2020 Ellingsrud, Solbrå, Einevoll, Halnes and Rognes. http://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 | Neuroscience Ellingsrud, Ada J. Solbrå, Andreas Einevoll, Gaute T. Halnes, Geir Rognes, Marie E. Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries |
title | Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries |
title_full | Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries |
title_fullStr | Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries |
title_full_unstemmed | Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries |
title_short | Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries |
title_sort | finite element simulation of ionic electrodiffusion in cellular geometries |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109287/ https://www.ncbi.nlm.nih.gov/pubmed/32269519 http://dx.doi.org/10.3389/fninf.2020.00011 |
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