Modelling the effect of gap junctions on tissue-level cardiac electrophysiology
Doug Bruce (Computational Biology Group, Department of Computer, Science, University of Oxford), Pras Pathmanathan (Computational Biology, Group, Department of Computer Science, University of Oxford), Jonathan P., Whiteley (Computational Biology Group

TL;DR
This paper investigates how explicitly modeling gap junctions affects tissue-level cardiac electrophysiology simulations, revealing discrepancies between continuum and discrete models and proposing a hybrid approach for improved accuracy.
Contribution
It introduces explicit inclusion of gap junctions in both discrete and continuum cardiac models and compares their effects on action potential propagation.
Findings
Continuum models cannot replicate the action potential passing through gap junctions.
Propagation speed differences emerge when gap junctions are included.
Discrete simulations align with experimental observations from Rohr 2004.
Abstract
When modelling tissue-level cardiac electrophysiology, continuum approximations to the discrete cell-level equations are used to maintain computational tractability. One of the most commonly used models is represented by the bidomain equations, the derivation of which relies on a homogenisation technique to construct a suitable approximation to the discrete model. This derivation does not explicitly account for the presence of gap junctions connecting one cell to another. It has been seen experimentally [Rohr, Cardiovasc. Res. 2004] that these gap junctions have a marked effect on the propagation of the action potential, specifically as the upstroke of the wave passes through the gap junction. In this paper we explicitly include gap junctions in a both a 2D discrete model of cardiac electrophysiology, and the corresponding continuum model, on a simplified cell geometry. Using these…
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