Predictive computational modeling of the heart integrates ion channel to electromechanical interactions, offering insights into arrhythmogenesis, defibrillation, and infarct scar re-entrant circuits.
Predictive computational modelling of the heart holds high promise for interpreting clinical measurements, understanding disease mechanisms like arrhythmias, and optimizing medical devices.
The simulation of cardiac electrical function is an example of a successful integrative multiscale modelling approach that is directly relevant to human disease. Today we stand at the threshold of a new era, in which anatomically detailed, tomographically reconstructed models are being developed that integrate from the ion channel to the electromechanical interactions in the intact heart. Such models hold high promise for interpretation of clinical and physiological measurements, for improving the basic understanding of the mechanisms of dysfunction in disease, such as arrhythmias, myocardial ischaemia and heart failure, and for the development and performance optimization of medical devices. The goal of this article is to present an overview of current state-of-art advances towards predictive computational modelling of the heart as developed recently by the authors of this article. We first outline the methodology for constructing electrophysiological models of the heart. We then provide three examples that demonstrate the use of these models, focusing specifically on the mechanisms for arrhythmogenesis and defibrillation in the heart. These include: (1) uncovering the role of ventricular structure in defibrillation; (2) examining the contribution of Purkinje fibres to the failure of the shock; and (3) using magnetic resonance imaging reconstructed heart models to investigate the re-entrant circuits formed in the presence of an infarct scar.
Vigmond et al. (2009) conducted a review in Cardiac electrical dysfunction (arrhythmias, myocardial ischaemia, heart failure). Predictive computational modelling of the heart was evaluated. Predictive computational modeling of the heart integrates ion channel to electromechanical interactions, offering insights into arrhythmogenesis, defibrillation, and infarct scar re-entrant circuits.