Literature DB >> 22473779

How the Hodgkin-Huxley equations inspired the Cardiac Physiome Project.

Denis Noble1, Alan Garny, Penelope J Noble.   

Abstract

Early modelling of cardiac cells (1960-1980) was based on extensions of the Hodgkin-Huxley nerve axon equations with additional channels incorporated, but after 1980 it became clear that processes other than ion channel gating were also critical in generating electrical activity. This article reviews the development of models representing almost all cell types in the heart, many different species, and the software tools that have been created to facilitate the cardiac Physiome Project.

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Year:  2012        PMID: 22473779      PMCID: PMC3424720          DOI: 10.1113/jphysiol.2011.224238

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  137 in total

1.  Linking a genetic defect to its cellular phenotype in a cardiac arrhythmia.

Authors:  C E Clancy; Y Rudy
Journal:  Nature       Date:  1999-08-05       Impact factor: 49.962

2.  Cardiac action and pacemaker potentials based on the Hodgkin-Huxley equations.

Authors:  D NOBLE
Journal:  Nature       Date:  1960-11-05       Impact factor: 49.962

3.  Spiral breakup in model equations of action potential propagation in cardiac tissue.

Authors: 
Journal:  Phys Rev Lett       Date:  1993-08-16       Impact factor: 9.161

Review 4.  CellML and associated tools and techniques.

Authors:  Alan Garny; David P Nickerson; Jonathan Cooper; Rodrigo Weber dos Santos; Andrew K Miller; Steve McKeever; Poul M F Nielsen; Peter J Hunter
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-09-13       Impact factor: 4.226

5.  Outward membrane currents activated in the plateau range of potentials in cardiac Purkinje fibres.

Authors:  D Noble; R W Tsien
Journal:  J Physiol       Date:  1969-01       Impact factor: 5.182

6.  Mathematical simulations of ligand-gated and cell-type specific effects on the action potential of human atrium.

Authors:  Mary M Maleckar; Joseph L Greenstein; Natalia A Trayanova; Wayne R Giles
Journal:  Prog Biophys Mol Biol       Date:  2009-01-30       Impact factor: 3.667

7.  Computer model of action potential of mouse ventricular myocytes.

Authors:  Vladimir E Bondarenko; Gyula P Szigeti; Glenna C L Bett; Song-Jung Kim; Randall L Rasmusson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-05-13       Impact factor: 4.733

8.  Pulmonary vein reentry--properties and size matter: insights from a computational analysis.

Authors:  Elizabeth M Cherry; Joachim R Ehrlich; Stanley Nattel; Flavio H Fenton
Journal:  Heart Rhythm       Date:  2007-08-24       Impact factor: 6.343

9.  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

10.  ELECTRIC IMPEDANCE OF THE SQUID GIANT AXON DURING ACTIVITY.

Authors:  K S Cole; H J Curtis
Journal:  J Gen Physiol       Date:  1939-05-20       Impact factor: 4.086

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  33 in total

1.  Hodgkin and Huxley and the basis for electrical signalling: a remarkable legacy still going strong.

Authors:  Jamie I Vandenberg; Stephen G Waxman
Journal:  J Physiol       Date:  2012-06-01       Impact factor: 5.182

2.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

Review 3.  Phase waves and trigger waves: emergent properties of oscillating and excitable networks in the gut.

Authors:  Sean P Parsons; Jan D Huizinga
Journal:  J Physiol       Date:  2018-08-31       Impact factor: 5.182

4.  What can modelling provide to cardiac physiology?

Authors:  Nicolas P Smith; Andrew D McCulloch; David J Paterson
Journal:  J Physiol       Date:  2012-09-15       Impact factor: 5.182

Review 5.  Requirements for multi-level systems pharmacology models to reach end-usage: the case of type 2 diabetes.

Authors:  Elin Nyman; Yvonne J W Rozendaal; Gabriel Helmlinger; Bengt Hamrén; Maria C Kjellsson; Peter Strålfors; Natal A W van Riel; Peter Gennemark; Gunnar Cedersund
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

Review 6.  Decoding myocardial Ca²⁺ signals across multiple spatial scales: a role for sensitivity analysis.

Authors:  Young-Seon Lee; Ona Z Liu; Eric A Sobie
Journal:  J Mol Cell Cardiol       Date:  2012-09-28       Impact factor: 5.000

7.  Extending the conditions of application of an inversion of the Hodgkin-Huxley gating model.

Authors:  Ashley E Raba; Jonathan M Cordeiro; Charles Antzelevitch; Jacques Beaumont
Journal:  Bull Math Biol       Date:  2013-04-18       Impact factor: 1.758

Review 8.  Modeling to link regional myocardial work, metabolism and blood flows.

Authors:  James B Bassingthwaighte; Daniel A Beard; Brian E Carlson; Ranjan K Dash; Kalyan Vinnakota
Journal:  Ann Biomed Eng       Date:  2012-08-23       Impact factor: 3.934

9.  Countering reproducibility issues in mathematical models with software engineering techniques: A case study using a one-dimensional mathematical model of the atrioventricular node.

Authors:  Christopher Schölzel; Valeria Blesius; Gernot Ernst; Alexander Goesmann; Andreas Dominik
Journal:  PLoS One       Date:  2021-07-19       Impact factor: 3.240

Review 10.  Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.

Authors:  Trine Krogh-Madsen; Eric A Sobie; David J Christini
Journal:  J Physiol       Date:  2016-02-04       Impact factor: 5.182

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