Literature DB >> 7685212

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

J Beaumont1, F A Roberge, L J Leon.   

Abstract

This paper describes a method to extract membrane model parameters from experimental voltage-clamp records. The underlying theory is based on two premises: (1) the membrane dynamics can be described by a Hodgkin-Huxley (HH) model, and (2) the most reliable data provided by voltage clamp experiments are peak current (Ip) measurements. First, the steady-state characteristics of activation (x infinity) and inactivation (z infinity) must be estimated, and it is shown that Ip data provided by standard voltage-clamp stimulation protocols are sufficient for this purpose for the case of well-separated activation (tau x) and inactivation (tau z) time constants, tau x << tau z. Next, we propose a test (R test) to establish the suitability of the HH model to represent the data. When the HH model is applicable (successful R test), the procedure yields the degree of the gating variables, a range of maximum membrane conductance (g) values, and a tau x/tau z ratio that relates x infinity and z infinity to the Ip data. When additional information is available, such as the time of occurrence of Ip or an estimate of tau z from the late portion of the ionic current response, one can narrow down the value of g and estimate all the HH parameters and functions. Otherwise, when the R test is not successful, one can conclude that x infinity and z infinity have been incorrectly estimated because tau x and tau z are not sufficiently separated or that the HH model is not applicable to the data.

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Year:  1993        PMID: 7685212     DOI: 10.1016/0025-5564(93)90047-e

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

1.  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

2.  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

3.  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 4.  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 5.  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

6.  Four Ways to Fit an Ion Channel Model.

Authors:  Michael Clerx; Kylie A Beattie; David J Gavaghan; Gary R Mirams
Journal:  Biophys J       Date:  2019-08-06       Impact factor: 4.033

  6 in total

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