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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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Consonant perception and error patterns in children and adults with cochlear implants.

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Related Experiment Video

Updated: May 24, 2025

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
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Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

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Model-Based Inference of Electrode Distance and Neuronal Density from Measured Detection Thresholds in Cochlear

David J Perkel1, Christopher K Giardina2, Joshua H Goldwyn3

  • 1Departments of Biology and Otolaryngology, University of Washington, Seattle, WA, 98195-1800, USA. perkel@uw.edu.

Journal of the Association for Research in Otolaryngology : JARO
|March 6, 2025
PubMed
Summary

A new model accurately estimates cochlear implant (CI) electrode distance and neuronal density. This tool helps understand the electrode-neuron interface, improving hearing restoration outcomes for CI users.

Keywords:
CT imagingComputational modelElectrode configurationElectrode-neuron interface

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Audiology

Background:

  • Cochlear implants (CI) restore hearing but performance varies.
  • Poor outcomes linked to electrode-neuron distance and density.
  • Understanding the electrode-neuron interface is crucial for CI reprogramming.

Purpose of the Study:

  • Develop and validate an inverted model to infer electrode-neuron interface properties.
  • Assess the model's accuracy in predicting electrode distance and neuronal density.
  • Apply the model to clinical data from cochlear implant users.

Main Methods:

  • Utilized a simplified cochlear model to study interface effects on stimulation thresholds.
  • Inverted the model using behavioral monopolar and tripolar thresholds.
  • Validated the model with known electrode distances and neuronal densities.
  • Assessed model performance with CT-imaged data from 18 CI users.

Main Results:

  • The inverted model accurately inferred electrode distance and neuronal density.
  • Model reproduced CI user threshold profiles with high accuracy (1 dB error for 17/18 subjects).
  • Electrode distance accuracy varied with temporal bone resistivity assumptions.

Conclusions:

  • The developed inverted model is a promising tool for assessing the electrode-neuron interface.
  • This approach can aid in understanding factors limiting cochlear implant performance.
  • Facilitates better assessment and understanding of the electrode-neuron interface for improved CI outcomes.