UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Simulation of impedance changes with a FEM model of a myelinated nerve fibre

Tarotin, I; Aristovich, KY; Holder, DS; (2019) Simulation of impedance changes with a FEM model of a myelinated nerve fibre. Journal of Neural Engineering , 16 (5) , Article 056026. 10.1088/1741-2552/ab2d1c. Green open access

[thumbnail of Tarotin+et+al_2019_J._Neural_Eng._10.1088_1741-2552_ab2d1c.pdf]
Preview
Text
Tarotin+et+al_2019_J._Neural_Eng._10.1088_1741-2552_ab2d1c.pdf - Published Version

Download (1MB) | Preview

Abstract

Objective: Fast neural Electrical Impedance Tomography (EIT) is a method which permits imaging of neuronal activity in nerves by measuring the associated impedance changes (dZ). Due to the small magnitudes of dZ signals, EIT parameters require optimization, which can be done using in silico modelling: apart from predicting the best parameters for imaging, it can also help to validate experimental data and explain the nature of the observed dZ. This has previously been completed for unmyelinated fibres, but an extension to myelinated fibres is required for the development of a full nerve model which could aid imaging neuronal traffic at the fascicular level and optimise neuromodulation of the supplied internal organs to treat various diseases. Methods: An active FEM model of a myelinated fibre coupled with external space was developed. A spatial dimension was added to the experimentally validated space-clamped model of a human sensory fibre using the double cable paradigm. Electrical parameters of the model were changed so that nodal and internodal membrane potential as well as propagation velocity agreed with experimental values. Impedance changes were simulated during activity under various conditions and the optimal parameters for imaging were determined. Main Results: When using AC, dZ could be recorded only at frequencies above 4 kHz, which is supported by experimental data. Optimal bandwidths for dZ measurement were found to increase with AC frequency. Conclusion and significance: The novel fully bi-directionally coupled FEM model of a myelinated fibre was able to optimize EIT for myelinated fibres and explain the biophysical basis of the measured signals.

Type: Article
Title: Simulation of impedance changes with a FEM model of a myelinated nerve fibre
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1741-2552/ab2d1c
Publisher version: https://doi.org/10.1088/1741-2552/ab2d1c
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. https://creativecommons.org/licenses/by/3.0/
Keywords: Bioimpedance, electrical impedance tomography (EIT), finite element method (FEM), myelinated fibre model.
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/10077777
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item