Literature DB >> 35850095

Intracellular sodium concentration and membrane potential oscillation in axonal conduction block induced by high-frequency biphasic stimulation.

Yihua Zhong1,2, Xu Zhang2, Jonathan Beckel3, William C de Groat3, Changfeng Tai1,3,4.   

Abstract

Objective.A new axonal conduction model was used to analyze the interaction between intracellular sodium concentration and membrane potential oscillation in axonal conduction block induced by high-frequency (kHz) biphasic stimulation (HFBS).Approach.The model includes intracellular and extracellular sodium and potassium concentrations and ion pumps. First, the HFBS (1 kHz, 5.4 mA) was applied for a duration (59.4 s) long enough to produce an axonal conduction block after terminating the stimulation, i.e. a post-stimulation block. Then, the intensity of HFBS was reduced to a lower level for 4 s to determine if the axonal conduction block could be maintained.Main results.The block duration was shortened from 1363 ms to 5 ms as the reduced HFBS intensity was increased from 0 mA to 4.1 mA. The block was maintained for the entire tested period (4000 ms) if the reduced intensity was above 4.2 mA. At the low intensity (<4.2 mA) the membrane potential oscillation disrupted the post-stimulation block caused by the increased intracellular sodium concentration, while at the high intensity (>4.2 mA) the membrane potential oscillation was strong enough to maintain the block and further increased the intracellular sodium concentration.Significance.This study indicates a possibility to develop a new nerve block method to reduce the HFBS intensity, which can extend the battery life for an implantable nerve stimulator in clinical applications to block pain of peripheral origin.
© 2022 IOP Publishing Ltd.

Entities:  

Keywords:  axon; block; conduction; model; simulation

Mesh:

Substances:

Year:  2022        PMID: 35850095      PMCID: PMC9355690          DOI: 10.1088/1741-2552/ac81ef

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.043


  25 in total

1.  The after-effects of impulses in the giant nerve fibres of Loligo.

Authors:  B FRANKENHAEUSER; A L HODGKIN
Journal:  J Physiol       Date:  1956-02-28       Impact factor: 5.182

2.  Nerve conduction block utilising high-frequency alternating current.

Authors:  K L Kilgore; N Bhadra
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

3.  Analysis of models for extracellular fiber stimulation.

Authors:  F Rattay
Journal:  IEEE Trans Biomed Eng       Date:  1989-07       Impact factor: 4.538

4.  Response of single alpha motoneurons to high-frequency pulse trains. Firing behavior and conduction block phenomenon.

Authors:  B R Bowman; D R McNeal
Journal:  Appl Neurophysiol       Date:  1986

5.  Modeling axon membranes for functional electrical stimulation.

Authors:  F Rattay; M Aberham
Journal:  IEEE Trans Biomed Eng       Date:  1993-12       Impact factor: 4.538

6.  Frequency- and amplitude-transitioned waveforms mitigate the onset response in high-frequency nerve block.

Authors:  Meana Gerges; Emily L Foldes; D Michael Ackermann; Narendra Bhadra; Niloy Bhadra; Kevin L Kilgore
Journal:  J Neural Eng       Date:  2010-10-22       Impact factor: 5.379

7.  The ionic content of mammalian non-myelinated nerve fibres and its alteration as a result of electrical activity.

Authors:  H P Rang; J M Ritchie
Journal:  J Physiol       Date:  1968-05       Impact factor: 5.182

8.  Post-stimulation block of frog sciatic nerve by high-frequency (kHz) biphasic stimulation.

Authors:  Guangning Yang; Zhiying Xiao; Jicheng Wang; Bing Shen; James R Roppolo; William C de Groat; Changfeng Tai
Journal:  Med Biol Eng Comput       Date:  2016-07-01       Impact factor: 2.602

9.  High-frequency electrical nerve block for postamputation pain: a pilot study.

Authors:  Amol Soin; Nemath Syed Shah; Zi-Ping Fang
Journal:  Neuromodulation       Date:  2015-02-05

10.  Model Analysis of Post-Stimulation Effect on Axonal Conduction and Block.

Authors:  Yihua Zhong; Jicheng Wang; Jonathan Beckel; William C de Groat; Changfeng Tai
Journal:  IEEE Trans Biomed Eng       Date:  2021-09-20       Impact factor: 4.756

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