Tarotin, I;
Aristovich, KY;
Holder, DS;
(2019)
Effect of dispersion in nerve on compound action potential and impedance change: a modelling study.
Physiological Measurement
10.1088/1361-6579/ab08ce.
(In press).
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Abstract
Objective: Electrical impedance tomography (EIT) is capable of imaging fast compound electrical activity (Compound Action Potentials, or CAPs) inside peripheral nerves. The ability of EIT to detect impedance changes (dZ) which arise from the opening of ion channels during the CAP is limited by the dispersion with distance from the site of onset, as fibres have differing conduction velocities. The effect is largest for autonomic nerves mainly formed of slower conducting unmyelinated fibres where signals cannot be recorded more than a few cm away from the stimulation. However, as CAPs are biphasic, monophasic dZ are expected to be detectable further than them; testing this hypothesis was the main objective of this study. Approach: An anatomically accurate FEM model and simplified statistical models of 50-fibre Hodgkin-Huxley and C-nociceptor nerves were developed with normally distributed conduction velocities; the statistical models were extended to realistic nerves. Results: 50- fibre models showed that dZ could persist further than biphasic CAPs, as these then cancelled. For realistic nerves consisting of Aα or Aβ fibres, significant dZ could be detected at 50-cm from the onset site with signal-to-noise ratios (SNR, mean ± s.d.) of 2.7±0.2 and 1.8±0.1 respectively; Aδ and rat sciatic nerve – at 20 cm (1.6±0.03 and 1.6±0.06), rat vagus – at 10 cm (1.6±0.05); C fibres – at 1-2 cm (2.4±0.02). Significance: This study provides a basis for determining the distance over which EIT may be used to image fascicular activity in electroceuticals and suggests dZ will persist further than CAPs if biphasic.
Type: | Article |
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Title: | Effect of dispersion in nerve on compound action potential and impedance change: a modelling study |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1088/1361-6579/ab08ce |
Publisher version: | https://doi.org/10.1088/1361-6579/ab08ce |
Language: | English |
Additional information: | As the Version of Record of this article is going to be / has been published on a gold open access basis under a CC BY 3.0 licence, this Accepted Manuscript is available for reuse under a CC BY 3.0 licence immediately. Everyone is permitted to use all or part of the original content in this article, provided that they adhere to all the terms of the licence https://creativecommons.org/licences/by/3.0 |
Keywords: | Dispersion in nerve, Electrical impedance tomography (EIT), Finite Element Method (FEM), model of the nerve |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10068972 |
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