Effect of Dielectric Properties of Cochlea on Electrode Insertion Guidance Based on Impedance Variation
Source abstract
Abstract
The cochlear neuromodulator provides substantial auditory perception to those with impaired hearing. The accurate insertion of electrodes into the cochlea is an important factor, as misplaced may lead to further damage. The impedance measurement may be used as a marker of the electrode insertion guidance. It is feasible to investigate the impact of the dielectric properties of the cochlea tissue layers on the electrode insertion guidance using sophisticated bio-computational methods that are impractical or impossible to perform in cochlear implant (CI) patients. Although previous modeling approaches of the cochlea argued that the capacitive impact of the tissue layer can be neglected using the quasi-static (QS) approximation method, it is widely accepted that tissue acts as a frequency filter. Thus, the QS method may not always be appropriate due to short-duration pulses. This study aimed to investigate the impact of the frequency-dependent dielectric properties of the cochlea tissue layers on the impedance variation by following a systematic approach. The volume conductor model of the cochlea layers was developed, the dielectric properties of each tissue layer were attained, and the cochlea neuromodulator settings were applied to obtain the results based on both QS and transient solution (TS) methods. The results based on the QS and TS methods were compared to define to what extent these parameters affect the outcome. It was suggested that the capacitive impact of the cochlea layers should be considered after a certain frequency level.
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Research context
OpenAlex topics: Non-Destructive Testing Techniques · Sensor Technology and Measurement Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic and Electrical Engineering, University College London (UCL), Torrington Place, London WC1E 7JE, UK
Department of Electronic and Automation, Muş Alparslan University, Muş 49250, Türkiye
Funding
University College London (UCL)
References (37)
Show source-provided references
1. (2024, April 22). Deafness and Hearing Loss. Available online: https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss.
2. Factors affecting open-set word recognition in adults with cochlear implants10.1097/AUD.0b013e3182741aa7 ↗
3. Salkim, E., Zamani, M., Jiang, D., Saeed, S.R., and Demosthenous, A. (2022). Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array. Front. Comput. Neurosci., 16.10.3389/fncom.2022.862126 ↗
4. Systematic review: Radiological and histological evidence of cochlear implant insertion trauma in adult patients10.1080/14670100.2017.1330735 ↗
5. Starovoyt, A., Quirk, B.C., Putzeys, T., Kerckhofs, G., Nuyts, J., Wouters, J., McLaughlin, R.A., and Verhaert, N. (2022). An optically guided cochlear implant sheath for real-time monitoring of electrode insertion into the human cochlea. Sci. Rep., 12.10.1038/s41598-022-23653-4 ↗
6. Cochlear implantation in 53 patients with otosclerosis: Demographics, computed tomographic scanning, surgery, and complications10.1097/00129492-200411000-00014 ↗
7. Advances in Cochlear Implant Telemetry: Evoked Neural Responses, Electrical Field Imaging, and Technical Integrity10.1177/1084713807304362 ↗
8. The clinical application of potentials evoked from the peripheral auditory system10.1016/j.heares.2008.04.005 ↗
9. Identification of the impedance model of an implanted cochlear prosthesis from intracochlear potential measurements10.1109/TBME.2004.836518 ↗
10. Impedance changes in chronically implanted and stimulated cochlear implant electrodes10.1179/1754762813Y.0000000050 ↗
11. Real-time measurement of electrode impedance during intracochlear electrode insertion10.1002/lary.23714 ↗
12. Electrode Array Position Guiding in Cochlea Based on Impedance Variation: Computational Study
13. Detection of Electrode Proximity to the Cochlea Wall Based on Impedance Variation: A Preliminary Computational Study
14. Potential distributions and neural excitation patterns in a rotationally symmetric model of the electrically stimulated cochlea10.1016/0378-5955(95)00090-Q ↗
15. Three-dimensional finite element analysis on cochlear implantation electrode insertion10.1007/s10237-022-01657-3 ↗
16. Bai, S., Encke, J., Obando-Leitón, M., Weiß, R., Schäfer, F., Eberharter, J., Böhnke, F., and Hemmert, W. (2019). Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans. Front. Neurosci., 13.10.3389/fnins.2019.01312 ↗
17. Analysis of tissue electrical properties on bio-impedance variation of upper limps10.55730/1300-0632.3908 ↗
18. Tissue and electrode capacitance reduce neural activation volumes during deep brain stimulation10.1016/j.clinph.2005.06.023 ↗
19. Modeling Extracellular Field Potentials and the Frequency-Filtering Properties of Extracellular Space10.1016/S0006-3495(04)74250-2 ↗
20. Models of Cochlea Used in Cochlear Implant Research: A Review10.1007/s10439-023-03192-3 ↗
21. The dielectric properties of biological tissues: I. Literature survey10.1088/0031-9155/41/11/001 ↗
22. Development and validation of a high-fidelity finite-element model of monopolar stimulation in the implanted Guinea pig cochlea10.1109/TBME.2015.2480601 ↗
23. Intraoperative Impedance-Based Estimation of Cochlear Implant Electrode Array Insertion Depth10.1109/TBME.2020.3006934 ↗
24. Al Abed, A., Pinyon, J.L., Foster, E., Crous, F., Cowin, G.J., Housley, G.D., and Lovell, N.H. (2019). Computational Simulation Expands Understanding of Electrotransfer-Based Gene Augmentation for Enhancement of Neural Interfaces. Front. Neurosci., 13.10.3389/fnins.2019.00691 ↗
25. Computer Simulation of the Electrical Stimulation of the Human Vestibular System: Effects of the Reactive Component of Impedance on Voltage Waveform and Nerve Selectivity10.1007/s10162-022-00868-w ↗
26. Castle, N., Liang, J., Smith, M., Petersen, B., Matson, C., Eldridge, T., Zhang, K., Lee, C.-H., Liu, Y., and Dai, C. (2023). Finite Element Modeling of Residual Hearing after Cochlear Implant Surgery in Chinchillas. Bioengineering, 10.10.1101/2023.02.15.528713 ↗
27. A finite element method framework to model extracellular neural stimulation10.1088/1741-2552/ac6060 ↗
28. A Novel Approach to Simulate Hodgkin-Huxley-like Excitation with COMSOL Multiphysics10.1111/j.1525-1594.2008.00611.x ↗
29. From 3D tissue data to impedance using Simpleware ScanFE+IP and COMSOL Multiphysics—A tutorial10.5617/jeb.173 ↗
30. Three-dimensional models of cochlear implants: A review of their development and how they could support management and maintenance of cochlear implant performance10.3109/0954898X.2016.1171411 ↗
31. Salkim, E., Shiraz, A., and Demosthenous, A. (2018). Influence of cellular structures of skin on fiber activation thresholds and computation cost Influence of cellular structures of skin on fi ber activation thresholds and computation cost. Biomed. Phys. Eng. Express, 5.10.1088/2057-1976/aaeaad ↗
32. The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues10.1088/0031-9155/41/11/003 ↗
33. Computationally efficient bioelectric field modeling and effects of frequency-dependent tissue capacitance10.1088/1741-2560/8/3/036017 ↗
34. Noh, H.W., Sim, J.Y., Ahn, C.G., and Ku, Y. (2021). Electrical impedance of upper limb enables robust wearable identity recognition against variation in finger placement and environmental factors. Biosensors, 11.10.3390/bios11100398 ↗
35. Stimulation-induced changes at the electrode-tissue interface and their influence on deep brain stimulation10.1088/1741-2552/ac7ad6 ↗
36. Effect of dispersive conductivity and permittivity in volume conductor models of deep brain stimulation10.1109/TBME.2010.2055054 ↗
37. Virtual Rhesus Labyrinth Model Predicts Responses to Electrical Stimulation Delivered by a Vestibular Prosthesis10.1007/s10162-019-00725-3 ↗