Literature DB >> 23595789

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

Ashley E Raba1, Jonathan M Cordeiro, Charles Antzelevitch, Jacques Beaumont.   

Abstract

We present an inversion of the Hodgkin-Huxley formalism to estimate initial conditions and model parameters, including functions of voltage, from the solutions of the underlying ordinary differential equation (ODE) subjected to multiple voltage step stimulations. As such, the procedure constitutes a means to estimate the parameters including functions of voltage of an Hodgkin-Huxley formalism from experimental data.The basic idea was developed in a previous communication (SIAM J. Appl. Math. 64:1264-1274, 2009). The inversion in question applies to currents exhibiting activation and inactivation, but the version, as published previously, cannot estimate the unknowns for channels that rapidly inactivate just after a brief opening. In such cases, the amplitude of the current, in a given voltage range, is too small to be detectable by the instrumentation using previously applied experimental protocols. This is, for example, the case for the sodium channels in a number of excitable tissue for potential in the vicinity of the cell resting potential. The current communication extends the inversion procedure in a manner to overcome this limitation.Furthermore, within the inversion framework, we can determine whether the data at the basis of the estimation sufficiently constrains the estimation problem, i.e., whether it is complete. We exploit this element of our method to document a set of stimulation protocols that constitute a complete data set for the purpose of inverting the Hodgkin-Huxley formalism.

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Year:  2013        PMID: 23595789      PMCID: PMC3855235          DOI: 10.1007/s11538-013-9832-7

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  14 in total

1.  An improved parameter estimation method for Hodgkin-Huxley models.

Authors:  A R Willms; D J Baro; R M Harris-Warrick; J Guckenheimer
Journal:  J Comput Neurosci       Date:  1999 Mar-Apr       Impact factor: 1.621

2.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

3.  Hodgkin-Huxley type ion channel characterization: an improved method of voltage clamp experiment parameter estimation.

Authors:  Jack Lee; Bruce Smaill; Nicolas Smith
Journal:  J Theor Biol       Date:  2006-03-24       Impact factor: 2.691

4.  Neurophysiology: Hodgkin and Huxley model--still standing?

Authors:  David A McCormick; Yousheng Shu; Yuguo Yu
Journal:  Nature       Date:  2007-01-04       Impact factor: 49.962

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

6.  Estimation of the steady-state characteristics of the Hodgkin-Huxley model from voltage-clamp data.

Authors:  J Beaumont; F A Roberge; D R Lemieux
Journal:  Math Biosci       Date:  1993-06       Impact factor: 2.144

7.  On the interpretation of voltage-clamp data using the Hodgkin-Huxley model.

Authors:  J Beaumont; F A Roberge; L J Leon
Journal:  Math Biosci       Date:  1993-05       Impact factor: 2.144

8.  Spiral waves in two-dimensional models of ventricular muscle: formation of a stationary core.

Authors:  J Beaumont; N Davidenko; J M Davidenko; J Jalife
Journal:  Biophys J       Date:  1998-07       Impact factor: 4.033

9.  A novel computational model of the human ventricular action potential and Ca transient.

Authors:  Eleonora Grandi; Francesco S Pasqualini; Donald M Bers
Journal:  J Mol Cell Cardiol       Date:  2009-10-14       Impact factor: 5.000

10.  Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation.

Authors:  Thomas O'Hara; László Virág; András Varró; Yoram Rudy
Journal:  PLoS Comput Biol       Date:  2011-05-26       Impact factor: 4.475

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  5 in total

1.  Estimability Analysis and Optimal Design in Dynamic Multi-scale Models of Cardiac Electrophysiology.

Authors:  Matthew S Shotwell; Richard A Gray
Journal:  J Agric Biol Environ Stat       Date:  2016-01-21       Impact factor: 1.524

Review 2.  Calibration of ionic and cellular cardiac electrophysiology models.

Authors:  Dominic G Whittaker; Michael Clerx; Chon Lok Lei; David J Christini; Gary R Mirams
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-02-21

Review 3.  Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.

Authors:  Pras Pathmanathan; Richard A Gray
Journal:  Front Physiol       Date:  2018-02-15       Impact factor: 4.566

4.  Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments.

Authors:  Chon Lok Lei; Michael Clerx; Dominic G Whittaker; David J Gavaghan; Teun P de Boer; Gary R Mirams
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

5.  Uncertainty and variability in computational and mathematical models of cardiac physiology.

Authors:  Gary R Mirams; Pras Pathmanathan; Richard A Gray; Peter Challenor; Richard H Clayton
Journal:  J Physiol       Date:  2016-06-09       Impact factor: 5.182

  5 in total

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