Break-up (>= 2 filaments)

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Break-up (>= 2 filaments) Role of the Bidomain Model of Cardiac Tissue in the Dynamics of Phase Singularities Jianfeng Lv and Sima Setayeshgar Department of Physics, Indiana University, Bloomington, Indiana 47405 Numerical Results Motivation Rotating Anisotropy Comparison of break-up in bidomain and monodomain models: [1] W.F. Witkowksi, et al., Nature 392, 78 (1998) Ventricular fibrillation (VF) is the main cause of sudden cardiac death in industrialized nations, accounting for 1 out of 10 deaths. Strong experimental evidence suggests that self-sustained waves of electrical wave activity in cardiac tissue are related to fatal arrhythmias. Goal is to use analytical and numerical tools to study the dynamics of reentrant waves in the heart on physiologically realistic domains. And … the heart is an interesting arena for applying the ideas of pattern formation. Dissection results indicate that cardiac fibers are arranged in surfaces, where fibers are approximately parallel in each surface while the mean fiber angle rotates from the outer (epicardium) to inner (endocardium) wall. Monodomain Bidomain Fiber Rotation Thickness Break-up (>= 2 filaments) 1.0 0.4 120o 10mm 1 0.9 0.8 0.7 0.6 0.5 2 0.3 10 mm 3 0.1 >=9 >=8 0.06 >=20 >=16 60o >=10 >=6 40o >=7 5 mm Focus of This Work Patch size: 5 cm x 5 cm Time spacing: 5 msec Computational study of the role of the rotating anisotropy of cardiac tissue on the dynamics of phase singularities in the bidomain model of cardiac tissue. Rectangular grid: 60 x 60 x 9; dx=0.5 mm, dy=0.5 mm, dz=0.5 mm; dt=0.01s Spiral Waves and Cardiac Arrhythmias Governing Equations Example of filament-finding results used to characterize breakup (D Q = 120): Transition from ventricular tachychardia to fibrillation is conjectured to occur as a result of breakdown of a single spiral (scroll) into a spatiotemporally disordered state, resulting from various mechanisms of spiral (scroll) wave instability. Governing equations describing the intra- and extracellular potentials: Ionic current, , described by a FitzHugh-Nagumo-like kinetics [1] Filament length(grid points) Transmembrane potential propagation Filament number Tachychardia Fibrillation Conservation of total current Time (s) Time (s) Courtesty of Sasha Panfilov, University of Utrecht Insert refs. : capacitance per unit area of membrane : transmembrane potential : intra- (extra-) cellular potential : transmembrane current : conductivity tensor in intra- (extra-) cellular space Filament length(grid points) Filament number Bidomain Model of Cardiac Tissue [1] A. V. Panfilov and J. P. Keener Physica D (1995). Numerical Implementation The bidomain model treats the complex microstructure of cardiac tissue is as a two-phase conducting medium, where every point in space is composed of both intra- and extracellular spaces and both conductivity tensors are specified at each point. Numerical solution of parabolic PDE (for um ) Time (s) Time (s) Conclusions Forward Euler scheme: We have numerically implemented electrical wave propagation in the bidomain model of cardiac tissue in the presence of rotating anisotropy using FHN-like reaction kinetics. Preliminary numerical results indicate that in the bidomain model, scroll wave breakup is more sensitive to the anisotropy ratio than the fiber rotation rate, in contrast with the monodomain model. From Laboortatory of Living State Physics, Vanderbilt University Crank-Nicolson scheme: Conductivity Tensors is approximated by the finite difference matrix operator, Numerical solution of elliptic PDE (for ue ) Bidomain: Direct solution of the resulting systems of linear algebraic equations by LU decomposition. Monodomain: The ratios of the diffusion constants along and perpendicular to the fiber direction in the intra- and extra-cellular spaces are different. The intracellular and extracellular conductivity tensors are proportional. Future Work Index re-ordering to reduce size of band-diagonal system Insert text + refs. Acknowledgements We acknowledge support from the National Science Foundation and Indiana University. We thank Xianfeng Song in our group for helpful advice on various aspects of the numerical implementation. [2] J. P. Keener and J. Sneyd, Mathematical Physiology [3] C. S. Henriquez, Critical Reviews in Biomedical Engiineering 21, 1-77 (1993) Elements ai, bi, ci … are constants obtained in finite difference approximation to the elliptic equation.