Evidence map›Paper›PMID 23595789›Full record

ArticleBulletin of mathematical biology2013

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

Ashley E Raba, Jonathan M Cordeiro, Charles Antzelevitch, Jacques Beaumont

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  4. Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  5. Review
  6. Article
  7. Estimability Analysis and Optimal Design in Dynamic Multi-scale Models of Cardiac Electrophysiology.Journal of agricultural, biological, and environmental statistics · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ashley E RabaBinghamton University, PO Box 6000, Binghamton, NY 13902-6000, USA. amcbrid1@binghamton.edu
Jonathan M Cordeiro
Charles Antzelevitch
Jacques Beaumont

Funding

ELECTRICAL HETEROGENEITY AND CARDIAC ARRHYTHMIASR01HL047678 · NHLBI · MASONIC MEDICAL RESEARCH LABORATORY, INC · PI ANTZELEVITCH, CHARLES · 1993 to 2014
$5.7M
ELECTRICAL HETEROGENEITY AND CARDIAC ARRHYTHMIASR55HL047678 · NHLBI · MASONIC MEDICAL RESEARCH LABORATORY, INC · PI ANTZELEVITCH, CHARLES · 1992 to 1992
–
NHLBI NIH HHS HL-47678NHLBI NIH HHS R01 HL047678
6 · The paper itself

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.

Indexed as

Ion Channel GatingModels, BiologicalAlgorithmsAnimalsDogsMathematical ConceptsMyocytes, CardiacNonlinear DynamicsPatch-Clamp TechniquesSodium ChannelsSodium Channels

Identifiers

PMID23595789
PMCPMC3855235

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.