Cochlear-Implant-Performance-Prediction

Despite improved technology, many cochlear implant (CI) recipients still struggle to understand speech in noise (SIN). Because the bottom-up acoustic signal generated by the implant is distorted relative to normal-hearing acoustic input, CI users rely more on top-down processing to decipher masked speech. To better predict outcomes for CI recipients, top-down auditory processing ability should be assessed. However, hearing impairment makes testing top-down auditory processing ability through auditory means difficult. The study aims to determine whether testing visual top-down processing can predict auditory top-down processing capability.

NCT Number	NCT07564388
Lead Sponsor	Northwestern University
Conditions	Performance Prediction
Enrollment	60 participants
Start Date	2025-06-25
Primary Completion	2027-06-01 (estimated)
Study Completion	2027-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-05-29