title: Reentry wave formation in excitable media with stochastically generated inhomogeneities.
abstract: Clinical research shows that the frequency of arrhythmia events depends on the number and area of the border zones of infarct scars. We investigate the possibility that arrhythmia is initiated by reentry waves generated by the inhomogeneity of conduction velocity at the border zone. The interaction of a plane wave with a spatially extended inhomogeneity is simulated in the FitzHugh- Nagumo model. The inhomogeneity is introduced into the model by modifying the spatial dependence of the diffusion coefficient in a stochastic manner. This results in a rich variety of spatial distributions of conductivity. A plane wave propagating through such a system may break up on the regions with low conductivity and produce numerous spiral waves. The frequency of reentry wave formation is studied as a function of the parameters of the inhomogeneity generation algorithm. Three main scenarios of reentry wave formation were found: unidirectional block, main wave-wavelet collision, and wave break up during collision, on a region in which a conduction velocity gradient occurs. These scenarios are likely candidates for the mechanisms of arrhythmia initiation in a damaged tissue, e.g., the border zone of an infarct scar.
authors.affiliation: Faculty of Physics and Center of Excellence for Complex Systems Research at Warsaw University of Technology, ul. Koszykowa 75, Warsaw, Poland. kuklik@if.pw.edu.pl
authors.forename: Paweł
authors.initials: P
authors.lastname: Kuklik
authors.forename: Jan Jacek
authors.initials: JJ
authors.lastname: Zebrowski
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D016880:Anisotropy; D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D003198:Computer Simulation; D006329:Heart Conduction System / Q000503:physiopathology*; D006352:Heart Ventricles / Q000294:innervation / Q000503:physiopathology*; D006801:Humans; D008955:Models, Cardiovascular; D008959:Models, Neurological; D017711:Nonlinear Dynamics; D013269:Stochastic Processes