NCT05219474

A Computational Approach to Optimal Deactivation of Cochlear Implant Electrodes

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 14 (actual)
• Sponsor: NYU Langone Health · Academic / Other
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Accepted

Summary

The goal of the present study is to use computationally driven models of speech understanding in cochlear implant (CI) users to guide the search for which combination of active electrodes can yield the best speech understanding for a specific patient. It is hypothesized that model-recommended settings will result in significantly better speech understanding than standard-of-care settings.

Detailed description

Aim 1 is to quantify speech understanding and sound quality with model-recommended combinations of active electrodes compared to standard settings, and compared to two control active electrode combinations. Aim 2 is to translate the model-driven recommendations from Aim 1 into practical guidance about how many (and possibly which) CI electrodes to deactivate.

Conditions

• Hearing Loss

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Cochlear implant Computer Model Implementation	The computer model will use standard Cochlear Implant settings to evaluate psychophysical and speech understanding abilities and sound quality with standard CI settings and then use these measures to build subject-specific models and determine experimental active electrode conditions to be tested: model-optimized, and two best-electrodes settings (2 types); 3) evaluate speech understanding and sound quality measures after using experimental settings regularly for 1.5 months; and 4) compare performance across experimental and clinical conditions. The analysis will include four levels of repeated measures with active CI electrode conditions. These levels include the clinical baseline condition (all available electrodes active) and three experimental conditions (model-optimized, best-electrodes, and restricted best-electrodes).

Timeline

• Start date: 2022-05-01
• Primary completion: 2025-04-30
• Completion: 2025-04-30
• First posted: 2022-02-02
• Last updated: 2025-10-24

Locations

1 site across 1 country: United States