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Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models

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 ca...

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Autores principales: Whittaker, Dominic G., Benson, Alan P., Teh, Irvin, Schneider, Jürgen E., Colman, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6990390/
https://www.ncbi.nlm.nih.gov/pubmed/31679763
http://dx.doi.org/10.1016/j.bpj.2019.09.041
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author Whittaker, Dominic G.
Benson, Alan P.
Teh, Irvin
Schneider, Jürgen E.
Colman, Michael A.
author_facet Whittaker, Dominic G.
Benson, Alan P.
Teh, Irvin
Schneider, Jürgen E.
Colman, Michael A.
author_sort Whittaker, Dominic G.
collection PubMed
description 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.
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spelling pubmed-69903902020-10-10 Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models Whittaker, Dominic G. Benson, Alan P. Teh, Irvin Schneider, Jürgen E. Colman, Michael A. Biophys J Articles 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. The Biophysical Society 2019-12-17 2019-10-08 /pmc/articles/PMC6990390/ /pubmed/31679763 http://dx.doi.org/10.1016/j.bpj.2019.09.041 Text en © 2019 Biophysical Society. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Whittaker, Dominic G.
Benson, Alan P.
Teh, Irvin
Schneider, Jürgen E.
Colman, Michael A.
Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models
title Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models
title_full Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models
title_fullStr Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models
title_full_unstemmed Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models
title_short Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models
title_sort investigation of the role of myocyte orientations in cardiac arrhythmia using image-based models
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6990390/
https://www.ncbi.nlm.nih.gov/pubmed/31679763
http://dx.doi.org/10.1016/j.bpj.2019.09.041
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