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Related Experiment Video

Updated: May 7, 2026

Performing Intracochlear Electrocochleography During Cochlear Implantation
09:10

Performing Intracochlear Electrocochleography During Cochlear Implantation

Published on: March 8, 2022

Can ECAP measures be used for totally objective programming of cochlear implants?

Colette M McKay1, Kirpa Chandan, Idrick Akhoun

  • 1Audiology & Deafness Research Group, School of Psychological Sciences, The University of Manchester, Ellen Wilkinson Building, Manchester, M13 9PL, UK, cmckay@bionicsinstitute.org.

Journal of the Association for Research in Otolaryngology : JARO
|September 20, 2013
PubMed
Summary

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Electrically evoked compound action potential (ECAP) measures show promise for predicting cochlear implant (CI) programming, but individual variations in ECAP data did not accurately predict behavioral threshold changes with stimulation rate.

Area of Science:

  • Audiology
  • Neuroscience
  • Biomedical Engineering

Background:

  • Cochlear implant (CI) programming relies on behavioral thresholds, which can be time-consuming.
  • Electrically evoked compound action potential (ECAP) measures offer a potential objective alternative for assessing neural responses.
  • Understanding the relationship between ECAP measures and behavioral thresholds is crucial for optimizing CI fitting.

Purpose of the Study:

  • To investigate if ECAP measures, beyond thresholds, can predict changes in behavioral thresholds with varying stimulation rates.
  • To determine if ECAP measures can be used independently of behavioral measures for CI programming.
  • To evaluate the utility of ECAP amplitude versus rate and amplitude growth functions in predicting threshold-rate functions.

Main Methods:

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Last Updated: May 7, 2026

Performing Intracochlear Electrocochleography During Cochlear Implantation
09:10

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Published on: March 8, 2022

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06:16

The Miniature Pig: A Large Animal Model for Cochlear Implant Research

Published on: July 28, 2022

  • Eight cochlear implant subjects participated in the study.
  • ECAP amplitude versus stimulus rate and ECAP amplitude growth functions were measured.
  • A loudness model incorporating temporal integration and neural response characteristics was applied.
  • Regression analyses were used to assess predictive capabilities of ECAP measures on behavioral thresholds.

Main Results:

  • The average change in behavioral thresholds with increasing stimulation rate was accurately predicted by the loudness model using average ECAP data.
  • Individual variations in the slope of behavioral threshold versus rate functions were not well predicted by individual ECAP data.
  • Discrepancies suggest ECAP measures might not fully reflect assumed neural characteristics or were measured at high current levels.

Conclusions:

  • Current ECAP measures investigated are not sufficient for fully objective cochlear implant programming.
  • Further research is needed to refine ECAP measurement techniques and their interpretation.
  • Objective measures for CI programming require further development to account for individual neural variability.