Tarotin, I;
Aristovich, K;
Holder, D;
(2019)
Model of Impedance Changes in Unmyelinated Nerve Fibres.
IEEE Transactions on Biomedical Engineering
, 66
(2)
pp. 471-484.
10.1109/TBME.2018.2849220.
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Abstract
OBJECTIVE: Currently there is no imaging method which is able to distinguish the functional activity inside nerves. Such a method would be essential for understanding peripheral nerve physiology and would allow precise neuromodulation of organs these nerves supply. Electrical Impedance Tomography (EIT) is a method which produces images of electrical impedance change (dZ) of an object by injecting alternating current and recording surface voltages. It has been shown to be able to image fast activity in the brain and large peripheral nerves. To image inside small autonomic nerves, mostly containing unmyelinated fibres, it is necessary to maximise SNR and optimize the EIT parameters. An accurate model of the nerve is required to identify these optimal parameters as well as to validate data obtained in the experiments. METHODS: In this study, we developed two 3D models of unmyelinated fibres: Hodgkin-Huxley (HH) squid giant axon (single and multiple) and mammalian C-nociceptor. A coupling feedback system was incorporated into the models to simulate direct (DC) and alternating current (AC) application and simultaneously record external field during action potential propagation. RESULTS: Parameters of the developed models were varied to study their influence on the recorded impedance changes; the optimal parameters were identified. The negative dZ was found to monotonically decrease with frequency for both HH and C fibre models, in accordance with the experimental data. CONCLUSION AND SIGNIFICANCE: The accurate realistic model of unmyelinated nerve allows optimisation of EIT parameters and matches literature and experimental results.
| Type: | Article |
|---|---|
| Title: | Model of Impedance Changes in Unmyelinated Nerve Fibres |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TBME.2018.2849220 |
| Publisher version: | https://doi.org/10.1109/TBME.2018.2849220 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Tomography, Ions,Impedance,Optical fibers, Electrodes, Mathematical model, Bioimpedance, electrical impedance tomography (EIT), finite element method, nerve 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/10058853 |
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