Literature DB >> 20553746

Models of cardiac tissue electrophysiology: progress, challenges and open questions.

R H Clayton1, O Bernus, E M Cherry, H Dierckx, F H Fenton, L Mirabella, A V Panfilov, F B Sachse, G Seemann, H Zhang.   

Abstract

Models of cardiac tissue electrophysiology are an important component of the Cardiac Physiome Project, which is an international effort to build biophysically based multi-scale mathematical models of the heart. Models of tissue electrophysiology can provide a bridge between electrophysiological cell models at smaller scales, and tissue mechanics, metabolism and blood flow at larger scales. This paper is a critical review of cardiac tissue electrophysiology models, focussing on the micro-structure of cardiac tissue, generic behaviours of action potential propagation, different models of cardiac tissue electrophysiology, the choice of parameter values and tissue geometry, emergent properties in tissue models, numerical techniques and computational issues. We propose a tentative list of information that could be included in published descriptions of tissue electrophysiology models, and used to support interpretation and evaluation of simulation results. We conclude with a discussion of challenges and open questions.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20553746     DOI: 10.1016/j.pbiomolbio.2010.05.008

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


  137 in total

Review 1.  Human cardiac systems electrophysiology and arrhythmogenesis: iteration of experiment and computation.

Authors:  Katherine M Holzem; Eli J Madden; Igor R Efimov
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

2.  Construction and validation of anisotropic and orthotropic ventricular geometries for quantitative predictive cardiac electrophysiology.

Authors:  Alan P Benson; Olivier Bernus; Hans Dierckx; Stephen H Gilbert; John P Greenwood; Arun V Holden; Kevin Mohee; Sven Plein; Aleksandra Radjenovic; Michael E Ries; Godfrey L Smith; Steven Sourbron; Richard D Walton
Journal:  Interface Focus       Date:  2010-12-03       Impact factor: 3.906

3.  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

Review 4.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
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Authors:  Sarah L Waters; Jordi Alastruey; Daniel A Beard; Peter H M Bovendeerd; Peter F Davies; Girija Jayaraman; Oliver E Jensen; Jack Lee; Kim H Parker; Aleksander S Popel; Timothy W Secomb; Maria Siebes; Spencer J Sherwin; Rebecca J Shipley; Nicolas P Smith; Frans N van de Vosse
Journal:  Prog Biophys Mol Biol       Date:  2010-10-30       Impact factor: 3.667

Review 6.  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

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Authors:  Natalia Trayanova; Jason Constantino; Takashi Ashihara; Gernot Plank
Journal:  IEEE Rev Biomed Eng       Date:  2011

Review 8.  Computational modeling: What does it tell us about atrial fibrillation therapy?

Authors:  Eleonora Grandi; Dobromir Dobrev; Jordi Heijman
Journal:  Int J Cardiol       Date:  2019-01-25       Impact factor: 4.164

9.  Stochastic Pacing Inhibits Spatially Discordant Cardiac Alternans.

Authors:  Dan Wilson; Bard Ermentrout
Journal:  Biophys J       Date:  2017-12-05       Impact factor: 4.033

10.  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

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