Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology

Giacomo Rosilho de Souza; Simone Pezzuto; Rolf Krause

doi:10.1007/978-3-031-35302-4_12

Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology

Giacomo Rosilho de Souza, Simone Pezzuto^*, Rolf Krause

^*Corresponding author for this work

Applied Mathematics and Computational Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Gap junction arrangement is a major determinant of cardiac conduction velocity. Importantly, structural remodeling of the myocardium may lead to pathological CV and a pro-arrhythmic substrate. In this work we aim at quantifying the side-to-side conduction velocity in a sub-micrometer model of the myocardium that accounts for gap junctions. We consider the Extracellular-Membrane-Intracellular (EMI) model, which describes the evolution of the electric potential within each cell and in the extracellular space. For the solution of the model, we propose a boundary integral formulation of the cell-to-cell model that leads to small system of ODEs. We study several configurations of lateral gap junction distribution, as well as different shapes and sizes of the cell-to-cell connection. We find that irregular positioning of gap junctions from cell to cell is of utmost importance to obtain realistic CV values, while gap junction’s shape is of secondary importance.

Original language	English (US)
Title of host publication	Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
Editors	Olivier Bernard, Patrick Clarysse, Nicolas Duchateau, Jacques Ohayon, Magalie Viallon
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	117-126
Number of pages	10
ISBN (Print)	9783031353017
DOIs	https://doi.org/10.1007/978-3-031-35302-4_12
State	Published - 2023
Event	Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings - Lyon, France Duration: Jun 19 2023 → Jun 22 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13958 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
Country/Territory	France
City	Lyon
Period	06/19/23 → 06/22/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Boundary Element Method
Cell-by-Cell Model
Electrophysiology
EMI Model
Gap Junctions

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-35302-4_12

Cite this

Rosilho de Souza, G., Pezzuto, S., & Krause, R. (2023). Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology. In O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, & M. Viallon (Eds.), Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings (pp. 117-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13958 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35302-4_12

Rosilho de Souza, Giacomo ; Pezzuto, Simone ; Krause, Rolf. / Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology. Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings. editor / Olivier Bernard ; Patrick Clarysse ; Nicolas Duchateau ; Jacques Ohayon ; Magalie Viallon. Springer Science and Business Media Deutschland GmbH, 2023. pp. 117-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Gap junction arrangement is a major determinant of cardiac conduction velocity. Importantly, structural remodeling of the myocardium may lead to pathological CV and a pro-arrhythmic substrate. In this work we aim at quantifying the side-to-side conduction velocity in a sub-micrometer model of the myocardium that accounts for gap junctions. We consider the Extracellular-Membrane-Intracellular (EMI) model, which describes the evolution of the electric potential within each cell and in the extracellular space. For the solution of the model, we propose a boundary integral formulation of the cell-to-cell model that leads to small system of ODEs. We study several configurations of lateral gap junction distribution, as well as different shapes and sizes of the cell-to-cell connection. We find that irregular positioning of gap junctions from cell to cell is of utmost importance to obtain realistic CV values, while gap junction{\textquoteright}s shape is of secondary importance.",

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Rosilho de Souza, G, Pezzuto, S & Krause, R 2023, Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology. in O Bernard, P Clarysse, N Duchateau, J Ohayon & M Viallon (eds), Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13958 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 117-126, Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings, Lyon, France, 06/19/23. https://doi.org/10.1007/978-3-031-35302-4_12

Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology. / Rosilho de Souza, Giacomo; Pezzuto, Simone; Krause, Rolf.
Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings. ed. / Olivier Bernard; Patrick Clarysse; Nicolas Duchateau; Jacques Ohayon; Magalie Viallon. Springer Science and Business Media Deutschland GmbH, 2023. p. 117-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13958 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Rosilho de Souza G, Pezzuto S, Krause R. Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology. In Bernard O, Clarysse P, Duchateau N, Ohayon J, Viallon M, editors, Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 117-126. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-35302-4_12