Continuity of Mircoscopic Cardiac Conduction in a Computational Cell-by-Cell Model - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2023

Continuity of Mircoscopic Cardiac Conduction in a Computational Cell-by-Cell Model

Résumé

Conduction velocity in cardiac tissue is a crucial electrophysiological parameter for arrhythmia vulnerability. Pathologically reduced conduction velocity facilitates arrhythmogenesis because such conduction velocities decrease the wavelength with which re-entry may occur. Computational studies on CV and how it changes regionally in models at spatial scales multiple times larger than actual cardiac cells exist. However, microscopic conduction within cells and between them have been studied less in simulations. In this work, we study the relation of microscopic conduction patterns and clinically observable macroscopic conduction using an extracellular-membrane-intracellular model which represents cardiac tissue with these subdomains at subcellular resolution. By considering cell arrangement and non-uniform gap junction distribution, it yields anisotropic excitation propagation. This novel kind of model can for example be used to understand how discontinuous conduction on the microscopic level affects fractionation of electrograms in healthy and fibrotic tissue. Along the membrane of a cell, we observed a continuously propagating activation wavefront. When transitioning from one cell to the neighbouring one, jumps in local activation times occurred, which led to lower global conduction velocities than locally within each cell.
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hal-04407818 , version 1 (21-01-2024)

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Joshua Steyer, Fatemeh Chegini, Mark Potse, Axel Loewe, Martin Weiser. Continuity of Mircoscopic Cardiac Conduction in a Computational Cell-by-Cell Model. CinC 2023 - 50th Computing in Cardiology Conference, Oct 2023, Atlanta (GA), United States. ⟨10.22489/CinC.2023.385⟩. ⟨hal-04407818⟩
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