Abstract

Cardiac electrical excitation-propagation is influenced by myocyte orientations (cellular organization). Quantitatively understanding this relationship presents a significant research challenge, especially during arrhythmias in which excitation patterns become complex. Tissue-scale simulations of cardiac electrophysiology, incorporating both dynamic action potential behavior and image-based myocardial architecture, provide an approach to investigate three-dimensional (3D) propagation of excitation waves in the heart. In this study, we aimed to assess the importance of natural variation in myocyte orientations on cardiac arrhythmogenesis using 3D tissue electrophysiology simulations. Three anatomical models (i.e., describing myocyte orientations) of healthy rat ventricles—obtained using diffusion tensor imaging at 100 μm resolution—were registered to a single biventricular geometry (i.e., a single cardiac shape), in which the myocyte orientations could be represented by each of the diffusion tensor imaging data sets or by an idealized rule-based description. The Fenton-Karma cellular excitation model was modified to reproduce rat ventricular action potential duration restitution to create reaction-diffusion cardiac electrophysiology models. Over 250 3D simulations were performed to investigate the effects of myocyte orientations on the following: 1) ventricular activation, 2) location-dependent arrhythmia induction via rapid pacing, and 3) dynamics of re-entry averaged over multiple episodes. It was shown that 1) myocyte orientation differences manifested themselves in local activation times, but the influence on total activation time was small; 2) differences in myocyte orientations could critically affect the inducibility and persistence of arrhythmias for specific stimulus-location/cycle-length combinations; and 3) myocyte orientations alone could be an important determinant of scroll wave break, although no significant differences were observed in averaged arrhythmia dynamics between the four myocyte orientation scenarios considered. Our results show that myocyte orientations are an important determinant of arrhythmia inducibility, persistence, and scroll wave break. These findings suggest that where specificity is desired (for example, when predicting location-dependent, patient-specific arrhythmia inducibility), subject-specific myocyte orientations may be important.

Highlights

  • Cardiac arrhythmias, including ventricular tachycardia (VT) and ventricular fibrillation (VF), are leading causes of Myocyte Orientations and Arrhythmias which determine conduction pathways, respectively)

  • A comparison of the four myocyte orientation scenarios is given in Fig. 1, which shows streamlines colored according to the z component of the myocyte orientation

  • It can be seen here that whereas there was a predictable organization to the diffusion tensor imaging (DTI)-based myocyte orientations, there were discontinuities and patches that were not captured by the idealized RB myocyte orientations

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Summary

Introduction

Cardiac arrhythmias, including ventricular tachycardia (VT) and ventricular fibrillation (VF), are leading causes of Myocyte Orientations and Arrhythmias which determine conduction pathways, respectively). A detailed understanding of the interacting role of all of these features is vital for a full dissection of arrhythmia mechanisms and ideally requires direct visualization of excitation-propagation within the three-dimensional (3D) in vivo beating heart [2]. This is not yet technically feasible, and studying arrhythmias continues to present a significant research challenge. Reaction-diffusion models of cardiac electrophysiology, which incorporate both dynamic action potential (AP) behavior and myocardial architecture from imaging modalities such as diffusion tensor imaging (DTI) [5] and contrast-enhanced micro-CT [6], offer an alternative approach for studying the complex 3D organization of excitation waves during arrhythmias [2,7]. Studying the filament dynamics of scroll waves offers an approach to quantify the complex spatiotemporal activity that underlies arrhythmias such as VF [9]

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