Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns.

Schuerch, Klaus; Wimmer, Wilhelm; Rummel, Christian; Caversaccio, Marco Domenico; Weder, Stefan (2023). Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns. Frontiers in neurology, 14, p. 1181539. Frontiers Media S.A. 10.3389/fneur.2023.1181539

[img]
Preview
Text
fneur-14-1181539.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (4MB) | Preview

INTRODUCTION

Intracochlear electrocochleography (ECochG) is increasingly being used to measure residual inner ear function in cochlear implant (CI) recipients. ECochG signals reflect the state of the inner ear and can be measured during implantation and post-operatively. The aim of our study was to apply an objective deep learning (DL)-based algorithm to assess the reproducibility of longitudinally recorded ECochG signals, compare them with audiometric hearing thresholds, and identify signal patterns and tonotopic behavior.

METHODS

We used a previously published objective DL-based algorithm to evaluate post-operative intracochlear ECochG signals collected from 21 ears. The same measurement protocol was repeated three times over 3 months. Additionally, we measured the pure-tone thresholds and subjective loudness estimates for correlation with the objectively detected ECochG signals. Recordings were made on at least four electrodes at three intensity levels. We extracted the electrode positions from computed tomography (CT) scans and used this information to evaluate the tonotopic characteristics of the ECochG responses.

RESULTS

The objectively detected ECochG signals exhibited substantial repeatability over a 3-month period (bias-adjusted kappa, 0.68; accuracy 83.8%). Additionally, we observed a moderate-to-strong dependence of the ECochG thresholds on audiometric and subjective hearing levels. Using radiographically determined tonotopic measurement positions, we observed a tendency for tonotopic allocation with a large variance. Furthermore, maximum ECochG amplitudes exhibited a substantial basal shift. Regarding maximal amplitude patterns, most subjects exhibited a flat pattern with amplitudes evenly distributed over the electrode carrier. At higher stimulation frequencies, we observed a shift in the maximum amplitudes toward the basal turn of the cochlea.

CONCLUSIONS

We successfully implemented an objective DL-based algorithm for evaluating post-operative intracochlear ECochG recordings. We can only evaluate and compare ECochG recordings systematically and independently from experts with an objective analysis. Our results help to identify signal patterns and create a better understanding of the inner ear function with the electrode in place. In the next step, the algorithm can be applied to intra-operative measurements.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ear, Nose and Throat Disorders (ENT)
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research

UniBE Contributor:

Schürch, Klaus, Rummel, Christian, Caversaccio, Marco, Weder, Stefan Andreas

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

1664-2295

Publisher:

Frontiers Media S.A.

Language:

English

Submitter:

Pubmed Import

Date Deposited:

25 Aug 2023 17:06

Last Modified:

26 Aug 2023 06:47

Publisher DOI:

10.3389/fneur.2023.1181539

PubMed ID:

37621854

Uncontrolled Keywords:

ECochG cochlear implants deep learning electric acoustic stimulation electrophysiology hearing loss hearing preservation signal processing

BORIS DOI:

10.48350/185746

URI:

https://boris.unibe.ch/id/eprint/185746

Actions (login required)

Edit item Edit item
Provide Feedback