Cochlear-Implant-Performance-Prediction
Enrolling by invitation · Not applicable
Conditions studied: Performance Prediction
In brief
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 facts
- Study ID
- NCT07564388
- Run by
- Northwestern University
- People needed
- 60
- Starts
- 2025-06-25
- Expected to finish
- 2027-12-31
- Last updated by the study team
- 2026-05-29
Who can join
Age: any, up to 18. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- All participants who do not fit the exclusion criteria.
You may not qualify if…
- Individuals who are not yet adults (infants, children, teenage children),
- Adults unable to consent,
- Adults with known impaired decision-making capacity,
- Pregnant women,
- Prisoners (or other detained/paroled individuals),
- Students or postdoctoral trainees who are taught by or academically mentored by the Principal Investigator, in compliance with the Enrollment of Students and Trainees in Research Studies policies.
- Non-fluent English speakers, Tests (specifically Scrambled Letters and QuickSIN) require proficiency in the English language.
- Individuals with severe hearing impairment, Tests (specifically QuickSIN) require participants to not have trouble hearing speech.
- Individuals with significant, uncorrected visual impairment. All visual tests require the participant to be able to read medium-sized text on a screen approximately two feet in front of them.
Where it is running
- Northwestern Univeristy — Chicago, Illinois, United States
Full record on ClinicalTrials.gov
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