Cochlear-Implant-Performance-Prediction

Part of paid clinical trials in Chicago, Illinois.

Sponsor
Northwestern University
Study ID
NCT07564388
Status
Enrolling By Invitation

Conditions

  • Performance Prediction

Eligibility Criteria

Sex
ALL
Age
N/A - 18 Years
Healthy Volunteers
Accepted

Interventions

  • cochlear implant user performance prediction — DIAGNOSTIC_TEST
    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.

Study Details

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 Dates

Start date
Jun 25, 2025
Status verified
May 2026
Primary completion
Jun 1, 2027
Completion
Dec 31, 2027

Study Design

Enrollment
60 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC

Arms

  • Experimental: performance assessment

Primary Outcome Measure

SNR-loss (dB) [ Time Frame: baseline ]

Locations (1)

FacilityCityStateZIPSite coordinators
Northwestern UniveristyChicagoIllinois60611-

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