Literature DB >> 21672547

Rabbit-specific ventricular model of cardiac electrophysiological function including specialized conduction system.

R Bordas1, K Gillow, Q Lou, I R Efimov, D Gavaghan, P Kohl, V Grau, B Rodriguez.   

Abstract

The function of the ventricular specialized conduction system in the heart is to ensure the coordinated electrical activation of the ventricles. It is therefore critical to the overall function of the heart, and has also been implicated as an important player in various diseases, including lethal ventricular arrhythmias such as ventricular fibrillation and drug-induced torsades de pointes. However, current ventricular models of electrophysiology usually ignore, or include highly simplified representations of the specialized conduction system. Here, we describe the development of an image-based, species-consistent, anatomically-detailed model of rabbit ventricular electrophysiology that incorporates a detailed description of the free-running part of the specialized conduction system. Techniques used for the construction of the geometrical model of the specialized conduction system from a magnetic resonance dataset and integration of the system model into a ventricular anatomical model, developed from the same dataset, are described. Computer simulations of rabbit ventricular electrophysiology are conducted using the novel anatomical model and rabbit-specific membrane kinetics to investigate the importance of the components and properties of the conduction system in determining ventricular function under physiological conditions. Simulation results are compared to panoramic optical mapping experiments for model validation and results interpretation. Full access is provided to the anatomical models developed in this study.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21672547      PMCID: PMC3190654          DOI: 10.1016/j.pbiomolbio.2011.05.002

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  43 in total

1.  Why does the heart beat? The discovery of the electrical system of the heart.

Authors:  Mark E Silverman; Daniel Grove; Charles B Upshaw
Journal:  Circulation       Date:  2006-06-13       Impact factor: 29.690

2.  A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

Authors:  Mark Potse; Bruno Dubé; Jacques Richer; Alain Vinet; Ramesh M Gulrajani
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

3.  Behaviour of the purkinje system during defibrillation-strength shocks.

Authors:  Patrick M Boyle; Makarand Deo; Edward J Vigmond
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007

4.  Effects of the purkinje system and cardiac geometry on biventricular pacing: a model study.

Authors:  Daniel Romero; Rafael Sebastian; Bart H Bijnens; Viviana Zimmerman; Patrick M Boyle; Edward J Vigmond; Alejandro F Frangi
Journal:  Ann Biomed Eng       Date:  2010-01-22       Impact factor: 3.934

5.  Distribution of the Purkinje fibres in the sheep heart.

Authors:  A Ansari; S Y Ho; R H Anderson
Journal:  Anat Rec       Date:  1999-01

6.  Simulation of cardiac activity and the ECG using a heart model with a reaction-diffusion action potential.

Authors:  O Berenfeld; S Abboud
Journal:  Med Eng Phys       Date:  1996-12       Impact factor: 2.242

7.  Fiber orientation in the canine left ventricle during diastole and systole.

Authors:  D D Streeter; H M Spotnitz; D P Patel; J Ross; E H Sonnenblick
Journal:  Circ Res       Date:  1969-03       Impact factor: 17.367

8.  Minimal model for human ventricular action potentials in tissue.

Authors:  Alfonso Bueno-Orovio; Elizabeth M Cherry; Flavio H Fenton
Journal:  J Theor Biol       Date:  2008-04-08       Impact factor: 2.691

9.  Role of the His-Purkinje system in the genesis of cardiac arrhythmia.

Authors:  Melvin M Scheinman
Journal:  Heart Rhythm       Date:  2009-03-11       Impact factor: 6.343

Review 10.  Arrhythmic risk biomarkers for the assessment of drug cardiotoxicity: from experiments to computer simulations.

Authors:  A Corrias; X Jie; L Romero; M J Bishop; M Bernabeu; E Pueyo; B Rodriguez
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-06-28       Impact factor: 4.226

View more
  23 in total

1.  Patient-specific generation of the Purkinje network driven by clinical measurements of a normal propagation.

Authors:  Christian Vergara; Simone Palamara; Domenico Catanzariti; Fabio Nobile; Elena Faggiano; Cesarino Pangrazzi; Maurizio Centonze; Massimiliano Maines; Alfio Quarteroni; Giuseppe Vergara
Journal:  Med Biol Eng Comput       Date:  2014-08-24       Impact factor: 2.602

Review 2.  Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations.

Authors:  Patrick M Boyle; Thomas V Karathanos; Emilia Entcheva; Natalia A Trayanova
Journal:  Comput Biol Med       Date:  2015-05-07       Impact factor: 4.589

3.  Efficient Computational Modeling of Human Ventricular Activation and Its Electrocardiographic Representation: A Sensitivity Study.

Authors:  Jonathan P Cranford; Thomas J O'Hara; Christopher T Villongco; Omar M Hafez; Robert C Blake; Joseph Loscalzo; Jean-Luc Fattebert; David F Richards; Xiaohua Zhang; James N Glosli; Andrew D McCulloch; David E Krummen; Felice C Lightstone; Sergio E Wong
Journal:  Cardiovasc Eng Technol       Date:  2018-03-16       Impact factor: 2.495

Review 4.  Computational approaches to understand cardiac electrophysiology and arrhythmias.

Authors:  Byron N Roberts; Pei-Chi Yang; Steven B Behrens; Jonathan D Moreno; Colleen E Clancy
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-08-10       Impact factor: 4.733

5.  Generating Purkinje networks in the human heart.

Authors:  Francisco Sahli Costabal; Daniel E Hurtado; Ellen Kuhl
Journal:  J Biomech       Date:  2015-12-22       Impact factor: 2.712

Review 6.  Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia.

Authors:  Hermenegild J Arevalo; Patrick M Boyle; Natalia A Trayanova
Journal:  Prog Biophys Mol Biol       Date:  2016-06-19       Impact factor: 3.667

Review 7.  Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Authors:  Natalia A Trayanova; Patrick M Boyle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-12-06

8.  Application of micro-computed tomography with iodine staining to cardiac imaging, segmentation, and computational model development.

Authors:  Oleg V Aslanidi; Theodora Nikolaidou; Jichao Zhao; Bruce H Smaill; Stephen H Gilbert; Arun V Holden; Tristan Lowe; Philip J Withers; Robert S Stephenson; Jonathan C Jarvis; Jules C Hancox; Mark R Boyett; Henggui Zhang
Journal:  IEEE Trans Med Imaging       Date:  2012-07-17       Impact factor: 10.048

Review 9.  Structure-function relationship in the sinus and atrioventricular nodes.

Authors:  T Nikolaidou; O V Aslanidi; H Zhang; I R Efimov
Journal:  Pediatr Cardiol       Date:  2012-03-03       Impact factor: 1.655

Review 10.  Animal models of arrhythmia: classic electrophysiology to genetically modified large animals.

Authors:  Sebastian Clauss; Christina Bleyer; Dominik Schüttler; Philipp Tomsits; Simone Renner; Nikolai Klymiuk; Reza Wakili; Steffen Massberg; Eckhard Wolf; Stefan Kääb
Journal:  Nat Rev Cardiol       Date:  2019-08       Impact factor: 32.419

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.