Literature DB >> 19588250

Effect of extracellular potassium accumulation on muscle fiber conduction velocity: a simulation study.

Emma Fortune1, Madeleine M Lowery.   

Abstract

A progressive reduction in muscle fiber conduction velocity is typically observed during fatiguing muscle contraction. Although the exact causes of the conduction velocity decrease have not yet been fully established, increasing evidence suggests that changes in extracellular potassium concentration may be largely responsible. In this study, a mathematical model was developed to examine the effect of extracellular potassium concentration on the muscle fiber action potential and conduction velocity. The model was used to simulate changes in extracellular potassium concentration at a range of temperatures and extracellular potassium accumulation during repetitive stimulation of the muscle fiber at 37 degrees C. The action potential broadened, and its amplitude and conduction velocity decreased as extracellular potassium concentration increased. The potassium-induced changes in action potential shape and conduction velocity were eliminated when the inward rectifier channels were removed from the model. The results support the hypothesis that accumulation of extracellular potassium ions may be a major contributor to the reduction in muscle fiber conduction velocity and loss of membrane excitability during fatiguing contractions. They additionally suggest that inward rectifier currents play a critical role in potassium-induced membrane depolarization, leading to increased sodium inactivation and resulting in the observed reduction in conduction velocity and membrane excitability.

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Year:  2009        PMID: 19588250     DOI: 10.1007/s10439-009-9756-4

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  17 in total

1.  Effect of membrane properties on skeletal muscle fiber excitability: a sensitivity analysis.

Authors:  Emma Fortune; Madeleine M Lowery
Journal:  Med Biol Eng Comput       Date:  2012-03-20       Impact factor: 2.602

2.  Decomposition of surface EMG signals from cyclic dynamic contractions.

Authors:  Carlo J De Luca; Shey-Sheen Chang; Serge H Roy; Joshua C Kline; S Hamid Nawab
Journal:  J Neurophysiol       Date:  2014-12-24       Impact factor: 2.714

3.  Muscle fibre conduction velocity varies in opposite directions after short- vs. long-duration muscle contractions.

Authors:  Javier Rodriguez-Falces; Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2021-02-14       Impact factor: 3.078

4.  Muscle fiber conduction velocity and EMG amplitude of the upper trapezius muscle in healthy subjects after low-level laser irradiation: a randomized, double-blind, placebo-controlled, crossover study.

Authors:  Fabiana Sarilho de Mendonça; Paulo de Tarso Camillo de Carvalho; Daniela Aparecida Biasotto-Gonzalez; Simone Aparecida Penimpedo Calamita; Cid André Fidelis de Paula Gomes; César Ferreira Amorim; Marco Antônio Fumagalli; Fabiano Politti
Journal:  Lasers Med Sci       Date:  2017-12-05       Impact factor: 3.161

Review 5.  Determinants, analysis and interpretation of the muscle compound action potential (M wave) in humans: implications for the study of muscle fatigue.

Authors:  Javier Rodriguez-Falces; Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2017-12-28       Impact factor: 3.078

6.  Influence of gender on muscle fatigue during dynamic knee contractions.

Authors:  Chiharu Fujisawa; Akira Tamaki; Eiji Yamada; Hirofumi Matsuoka
Journal:  Phys Ther Res       Date:  2017-02-24

7.  Unchanged muscle fiber conduction velocity relates to mild acidosis during exhaustive bicycling.

Authors:  J P J Schmitz; J P van Dijk; P A J Hilbers; K Nicolay; J A L Jeneson; D F Stegeman
Journal:  Eur J Appl Physiol       Date:  2011-08-23       Impact factor: 3.078

8.  A skeletal muscle L-type Ca2+ channel with a mutation in the selectivity filter (CaV1.1 E1014K) conducts K<sup/>.

Authors:  Donald Beqollari; Karen Dockstader; Roger A Bannister
Journal:  J Biol Chem       Date:  2018-01-11       Impact factor: 5.157

9.  A Novel Framework Based on FastICA for High Density Surface EMG Decomposition.

Authors:  Maoqi Chen; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-03-11       Impact factor: 3.802

10.  Error reduction in EMG signal decomposition.

Authors:  Joshua C Kline; Carlo J De Luca
Journal:  J Neurophysiol       Date:  2014-09-10       Impact factor: 2.714

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