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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.
Afiliación
  • Whittaker DG; School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom; Centre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
  • Benson AP; School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
  • Teh I; Experimental and Preclinical Imaging Centre, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
  • Schneider JE; Experimental and Preclinical Imaging Centre, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
  • Colman MA; School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom. Electronic address: m.a.colman@leeds.ac.uk.
Biophys J ; 117(12): 2396-2408, 2019 12 17.
Article en En | MEDLINE | ID: mdl-31679763
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Arritmias Cardíacas / Miocitos Cardíacos / Imagen de Difusión Tensora / Modelos Cardiovasculares Tipo de estudio: Prognostic_studies Idioma: En Revista: Biophys J Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Arritmias Cardíacas / Miocitos Cardíacos / Imagen de Difusión Tensora / Modelos Cardiovasculares Tipo de estudio: Prognostic_studies Idioma: En Revista: Biophys J Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido