Abstract

Cardiac muscle cells can exhibit complex patterns including irregular behaviour such as chaos or (chaotic) early afterdepolarisations (EADs), which can lead to sudden cardiac death. Suitable mathematical models and their analysis help to predict the occurrence of such phenomena and to decode their mechanisms. The focus of this paper is the investigation of dynamics of cardiac muscle cells described by systems of ordinary differential equations. This is generically performed by studying a Purkinje cell model and a modified ventricular cell model. We find chaotic dynamics with respect to the leak current in the Purkinje cell model, and EADs and chaos with respect to a reduced fast potassium current and an enhanced calcium current in the ventricular cell model — features that have been experimentally observed and are known to exist in some models, but are new to the models under present consideration. We also investigate the related monodomain models of both systems to study synchronisation and the behaviour of the cells on macro-scale in connection with the discovered features. The models show qualitatively the same behaviour to what has been experimentally observed. However, for certain parameter settings the dynamics occur within a non-physiological range.

Highlights

  • Nowadays, mathematical modelling and numerical simulations are essential and standard approaches to study and analyse real world problems and phenomena in life science

  • Our analysis shows on the one hand that the dynamics of a single cell model are sensitive to its system parameters, and on the other hand they are sensitive to the choice of initial values

  • Bifurcation theory is itself a powerful tool to study the behaviour of dynamical systems

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Summary

Introduction

Mathematical modelling and numerical simulations are essential and standard approaches to study and analyse real world problems and phenomena in life science. Aside from normal action potentials of a cardiac muscle cell, certain kinds of cardiac arrhythmia can occur. This includes specific types of abnormal heart rhythms, which can lead to sudden cardiac death. Irregular behaviour, such as (deterministic) chaos or chaotic early afterdepolarisations, has been observed in experimental as well as in computational studies, see [6, 7] and the references therein. It is highly interesting and important to understand the complex behaviour and mechanism of such biological phenomena. The number of existing mathematical models based on experimental data is continuously increasing

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