期刊
JOURNAL OF BIOLOGICAL PHYSICS
卷 -, 期 -, 页码 -出版社
SPRINGER
DOI: 10.1007/s10867-023-09644-0
关键词
Cardiac electrophysiology; Fibrosis; Numerical simulation; Computational modeling; Stochastic partial differential equation
类别
This study presents a stochastic two-dimensional mathematical model of human atrial fibrillation (AF) and explores the effects of Gaussian white noise on the instability of spiral waves. The results show that Gaussian white noise may induce spiral-wave meandering and wavefront break-up in homogeneous tissue models, but has little effect in the presence of localized scar or fibrosis regions.
Sustained spiral waves, also known as rotors, are pivotal mechanisms in persistent atrial fibrillation (AF). Stochasticity is inevitable in nonlinear biological systems such as the heart; however, it is unclear how noise affects the instability of spiral waves in human AF. This study presents a stochastic two-dimensional mathematical model of human AF and explores how Gaussian white noise affects the instability of spiral waves. In homogeneous tissue models, Gaussian white noise may lead to spiral-wave meandering and wavefront break-up. As the noise intensity increases, the spatial dispersion of phase singularity (PS) points increases. This finding indicates the potential AF-protective effects of cardiac system stochasticity by destabilizing the rotors. By contrast, Gaussian white noise is unlikely to affect the spiral-wave instability in the presence of localized scar or fibrosis regions. The PS points are located at the boundary or inside the scar/fibrosis regions. Localized scar or fibrosis may play a pivotal role in stabilizing spiral waves regardless of the presence of noise. This study suggests that fibrosis and scars are essential for stabilizing the rotors in stochastic mathematical models of AF. Further patient-derived realistic modeling studies are required to confirm the role of scar/fibrosis in AF pathophysiology.
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