Tarotin, Ilya Vitalievich;
(2019)
Model of impedance changes in nerve fibres.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Fast neural Electrical Impedance Tomography (EIT) is a method able to image electrical activity in nerves by measuring impedance changes (dZ) which occur as ion channels open. While it can image fast activity in large peripheral nerves, for imaging inside smaller nerves, the signal-to-noise-ratio must be maximized which requires optimization of EIT parameters. If optimized, fast neural EIT could be of benefit in the new field of electrical stimulation of autonomic nerves (“Electroceuticals”) that could allow cross-sectional imaging of the fascicles and precise neuromodulation of internal organs supplied by them to treat associated medical conditions. // The purpose of this thesis work was to develop an accurate model of nerve fibres that could validate experimental data, predict optimal parameters for imaging with EIT and explain the nature of the observed signals. In chapter 2, relevant literature on EIT, membrane biophysics and existing models of nerve fibres is reviewed. Accurate 3D FEM models of unmyelinated fibres bi-directionally coupled with external space, including Hodgkin-Huxley giant axon of the squid (single and multiple) and mammalian C nociceptor are developed in chapter 3. The models explain available experimental data and optimize fast neural EIT in unmyelinated nerves. In chapter 4, an accurate FEM model of a myelinated fibre coupled with extracellular space is developed and utilized for the same purposes. Dispersion in unmyelinated fibres is studied in chapter 5 by development of the accurate FEM models of 50-fibre HH and C nociceptor nerves, followed by extension to the statistical models of realistic nerves with thousands of fibres. The models provide the maximum distances over which EIT may be used for imaging fascicular activity for each kind of nerve and showed that dZ could be seen further then compound action potential if it is biphasic.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Model of impedance changes in nerve fibres |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2019. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. (In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of UCL's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/ public ations /rights/rights_link.html to learn how to obtain a License from RightsLink.) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices 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 |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10079766 |
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