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Cochlear-Implant-Performance-Prediction
Sponsor: Northwestern University
Summary
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.
Key Details
Gender
All
Age Range
Any - 18 Years
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2025-06-25
Completion Date
2027-12-31
Last Updated
2026-05-29
Healthy Volunteers
Yes
Conditions
Interventions
cochlear implant user performance prediction
A battery of visual cognitive tests will be combined to identify a set of tests that can predict user performance in speech-in-noise and music perception.
Locations (1)
Northwestern Univeristy
Chicago, Illinois, United States