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Jæger KH, Edwards AG, McCulloch A, et al. Properties of cardiac conduction in a cell-based computational model. PLoS Comput Biol. 2019;15(5):e1007042doi: 10.1371/journal.pcbi.1007042.
Jæger, K. H., Edwards, A. G., McCulloch, A., & Tveito, A. (2019). Properties of cardiac conduction in a cell-based computational model. PLoS computational biology, 15(5), e1007042. https://doi.org/10.1371/journal.pcbi.1007042
Jæger, Karoline Horgmo, et al. "Properties of cardiac conduction in a cell-based computational model." PLoS computational biology vol. 15,5 (2019): e1007042. doi: https://doi.org/10.1371/journal.pcbi.1007042
Jæger KH, Edwards AG, McCulloch A, Tveito A. Properties of cardiac conduction in a cell-based computational model. PLoS Comput Biol. 2019 May 31;15(5):e1007042. doi: 10.1371/journal.pcbi.1007042. eCollection 2019 May. PMID: 31150383; PMCID: PMC6561587.
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PLoS Comput Biol. 2019 May 31;15(5):e1007042. doi: 10.1371/journal.pcbi.1007042. eCollection 2019 May.

Properties of cardiac conduction in a cell-based computational model.

PLoS computational biology

Karoline Horgmo Jæger, Andrew G Edwards, Andrew McCulloch, Aslak Tveito

Affiliations

  1. Simula Research Laboratory, Oslo, Norway.
  2. Department of Bioengineering, University of California, San Diego, California, United States of America.

PMID: 31150383 PMCID: PMC6561587 DOI: 10.1371/journal.pcbi.1007042

Abstract

The conduction of electrical signals through cardiac tissue is essential for maintaining the function of the heart, and conduction abnormalities are known to potentially lead to life-threatening arrhythmias. The properties of cardiac conduction have therefore been the topic of intense study for decades, but a number of questions related to the mechanisms of conduction still remain unresolved. In this paper, we demonstrate how the so-called EMI model may be used to study some of these open questions. In the EMI model, the extracellular space, the cell membrane, the intracellular space and the cell connections are all represented as separate parts of the computational domain, and the model therefore allows for study of local properties that are hard to represent in the classical homogenized bidomain or monodomain models commonly used to study cardiac conduction. We conclude that a non-uniform sodium channel distribution increases the conduction velocity and decreases the time delays over gap junctions of reduced coupling in the EMI model simulations. We also present a theoretical optimal cell length with respect to conduction velocity and consider the possibility of ephaptic coupling (i.e. cell-to-cell coupling through the extracellular potential) acting as an alternative or supporting mechanism to gap junction coupling. We conclude that for a non-uniform distribution of sodium channels and a sufficiently small intercellular distance, ephaptic coupling can influence the dynamics of the sodium channels and potentially provide cell-to-cell coupling when the gap junction connection is absent.

Conflict of interest statement

ADM is a cofounder of and has an equity interest in Insilicomed, Inc. and Vektor Medical, Inc., and he serves on the scientific advisory boards. Some of his research grants acknowledged here have been

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