Literature DB >> 16997886

A tale of two dogs: analyzing two models of canine ventricular electrophysiology.

Elizabeth M Cherry1, Flavio H Fenton.   

Abstract

The extensive development of detailed mathematical models of cardiac myocyte electrophysiology in recent years has led to a proliferation of models, including many that model the same animal species and specific region of the heart and thus would be expected to have similar properties. In this paper we review and compare two recently developed mathematical models of the electrophysiology of canine ventricular myocytes. To clarify their similarities and differences, we also present studies using them in a range of preparations from single cells to two-dimensional tissue. The models are compared with each other and with new and previously published experimental results in terms of a number of their properties, including action potential morphologies; transmembrane currents during normal heart rates and during alternans; alternans onsets, magnitudes, and cessations; and reentry dynamics of spiral waves. Action potential applets and spiral wave movies for the two canine ventricular models are available online as supplemental material. We find a number of differences between the models, including their rate dependence, alternans dynamics, and reentry stability, and a number of differences compared with experiments. Differences between models of the same species and region of the heart are not unique to these canine models. Similar differences can be found in the behavior of two models of human ventricular myocytes and of human atrial myocytes. We provide several possible explanations for the differences observed in models of the same species and region of the heart and discuss the implications for the applicability of models in addressing questions of mechanism in cardiac electrophysiology.

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Year:  2006        PMID: 16997886     DOI: 10.1152/ajpheart.00955.2006

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  44 in total

Review 1.  Exploiting mathematical models to illuminate electrophysiological variability between individuals.

Authors:  Amrita X Sarkar; David J Christini; Eric A Sobie
Journal:  J Physiol       Date:  2012-04-10       Impact factor: 5.182

2.  Verification of cardiac tissue electrophysiology simulators using an N-version benchmark.

Authors:  Steven A Niederer; Eric Kerfoot; Alan P Benson; Miguel O Bernabeu; Olivier Bernus; Chris Bradley; Elizabeth M Cherry; Richard Clayton; Flavio H Fenton; Alan Garny; Elvio Heidenreich; Sander Land; Mary Maleckar; Pras Pathmanathan; Gernot Plank; José F Rodríguez; Ishani Roy; Frank B Sachse; Gunnar Seemann; Ola Skavhaug; Nic P Smith
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-13       Impact factor: 4.226

3.  Realistic cardiac electrophysiology modelling: are we just a heartbeat away?

Authors:  Elizabeth M Cherry; Flavio H Fenton
Journal:  J Physiol       Date:  2010-08-01       Impact factor: 5.182

Review 4.  Multi-scale computational models of familial hypertrophic cardiomyopathy: genotype to phenotype.

Authors:  Stuart G Campbell; Andrew D McCulloch
Journal:  J R Soc Interface       Date:  2011-08-10       Impact factor: 4.118

5.  Parameter sensitivity analysis in electrophysiological models using multivariable regression.

Authors:  Eric A Sobie
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

Review 6.  Dynamics of human atrial cell models: restitution, memory, and intracellular calcium dynamics in single cells.

Authors:  Elizabeth M Cherry; Harold M Hastings; Steven J Evans
Journal:  Prog Biophys Mol Biol       Date:  2008-05-29       Impact factor: 3.667

7.  Properties and ionic mechanisms of action potential adaptation, restitution, and accommodation in canine epicardium.

Authors:  Keith F Decker; Jordi Heijman; Jonathan R Silva; Thomas J Hund; Yoram Rudy
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-01-23       Impact factor: 4.733

8.  The rate- and species-dependence of short-term memory in cardiac myocytes.

Authors:  Elena G Tolkacheva
Journal:  J Biol Phys       Date:  2007-06-29       Impact factor: 1.365

9.  Key aspects for effective mathematical modelling of fractional-diffusion in cardiac electrophysiology: a quantitative study.

Authors:  N Cusimano; A Gizzi; F H Fenton; S Filippi; L Gerardo-Giorda
Journal:  Commun Nonlinear Sci Numer Simul       Date:  2019-12-25       Impact factor: 4.260

10.  Slow Delayed Rectifier Current Protects Ventricular Myocytes From Arrhythmic Dynamics Across Multiple Species: A Computational Study.

Authors:  Meera Varshneya; Ryan A Devenyi; Eric A Sobie
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-10
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