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Related Concept Videos

The Cochlea01:13

The Cochlea

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The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
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Related Experiment Video

Updated: Jul 18, 2025

Performing Intracochlear Electrocochleography During Cochlear Implantation
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Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns.

Klaus Schuerch1,2, Wilhelm Wimmer3, Christian Rummel4

  • 1Department of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Frontiers in Neurology
|August 25, 2023
PubMed
Summary

An objective deep learning algorithm demonstrated reproducible intracochlear electrocochleography (ECochG) in cochlear implant recipients. This method reliably assesses inner ear function and correlates with hearing thresholds.

Keywords:
ECochGcochlear implantsdeep learningelectric acoustic stimulationelectrophysiologyhearing losshearing preservationsignal processing

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Otolaryngology

Background:

  • Intracochlear electrocochleography (ECochG) is crucial for assessing residual inner ear function in cochlear implant (CI) recipients.
  • ECochG signals provide insights into inner ear status, measurable during and after CI surgery.
  • Objective analysis of ECochG is needed for consistent and reliable evaluation.

Purpose of the Study:

  • To apply an objective deep learning (DL) algorithm for assessing the reproducibility of longitudinal ECochG signals.
  • To compare ECochG signals with audiometric hearing thresholds and subjective loudness estimates.
  • To identify ECochG signal patterns and tonotopic behavior in CI recipients.

Main Methods:

  • Utilized a previously established objective DL algorithm on post-operative intracochlear ECochG signals from 21 ears.
  • Repeated ECochG measurements three times over 3 months using the same protocol.
  • Correlated ECochG data with pure-tone audiometry and subjective loudness, analyzing tonotopic characteristics using CT scans.

Main Results:

  • The DL algorithm showed substantial repeatability of ECochG signals over 3 months (kappa=0.68, accuracy=83.8%).
  • ECochG thresholds demonstrated a moderate-to-strong correlation with audiometric and subjective hearing levels.
  • Observed a tendency for tonotopic allocation with variance and a basal shift in maximum ECochG amplitudes, particularly at higher frequencies.

Conclusions:

  • Successfully implemented an objective DL algorithm for post-operative intracochlear ECochG evaluation.
  • Objective analysis enables systematic and expert-independent comparison of ECochG recordings.
  • Findings enhance understanding of inner ear function with implanted electrodes and pave the way for intra-operative applications.