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Updated: Jan 31, 2026

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
High-Variability Sentence Recognition in Long-Term Cochlear Implant Users: Associations With Rapid Phonological
Gretchen N L Smith1, David B Pisoni1,2, William G Kronenberger1,3
1Department of Otolaryngology-Head and Neck Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Long-term cochlear implant (CI) users show greater variability in rapid phonological coding and rely more on compensatory executive functioning (EF) skills than normal-hearing peers. These findings support dual-channel speech processing models.
Area of Science:
- Neuroscience
- Audiology
- Cognitive Psychology
Background:
- Cochlear implants (CI) are sophisticated devices for hearing restoration.
- Understanding the cognitive demands of speech processing in CI users is crucial.
- Long-term CI use may impact phonological coding and executive functions (EF).
Purpose of the Study:
- To compare rapid phonological coding and EF reliance between long-term CI users and normal-hearing (NH) peers.
- To investigate the association between phonological coding, EF, and sentence recognition in challenging listening conditions.
- To test hypotheses regarding CI users' performance on high-variability speech tasks.
Main Methods:
- Cross-sectional study of 49 long-term CI users and 56 NH individuals (ages 9-29).
- Utilized tests for rapid phonological coding (nonword repetition), conventional sentence recognition, and high-variability sentence recognition.
- Assessed executive functions including verbal working memory, cognitive fluency, and inhibition.
Main Results:
- CI users performed significantly worse on high-variability sentence recognition than NH peers, even after controlling for basic recognition skills.
- Stronger correlations between rapid phonological coding and high-variability sentence recognition were observed in CI users compared to NH peers.
- While direct EF correlations were not significant after correction, verbal working memory showed potential links to sentence recognition in CI users.
Conclusions:
- Findings support dual-channel speech processing models, highlighting a fast-automatic channel and a compensatory slow-effortful channel.
- CI users demonstrate greater reliance on rapid phonological coding for challenging speech perception.
- Further research into verbal working memory in CI users is recommended for clinical insights.
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