Fibrillatory activity in cardiac reaction-diffusion models with time-varying parameters

心房颤动（AF）是最常见的心律失常和中风的主要原因。我的研究项目包括在心房的计算机模型中模拟这些节律障碍，以深入了解其机制并研究促进其发生的因素。心电活动可以通过反应扩散系统进行数学描述，该系统集成了从离子通道到器官解剖的生物数据。一些模型参数（如离子通道电导）可能受到外部因素的调节，如自主神经系统通过乙酰胆碱（ACh）的释放来调节。我们将在计算环境中研究参数的时间依赖性变化如何影响心房心律失常的易感性和随后的颤动动力学，使用时变的ACh作用作为范例。

Atrial fibrillation (AF) is the most frequent arrhythmia and a major cause of stroke. My research program involves simulating these rhythm disorders in computer models of the atria to get insights into their mechanisms and investigate the factors promoting their occurrence. Cardiac electrical activity can be mathematically described by reaction-diffusion systems that integrate biological data from ion channel to organ anatomy. Some model parameters (e.g. ion channel conductances) may be regulated by external factors, e.g. by the autonomic nervous system through acetylcholine (ACh) release. We are going to study in a computational environment how time-dependent variation of parameters affects the vulnerability to atrial arrhythmias and the ensuing fibrillatory dynamics, using time-varying ACh action as a paradigm.