Related Experiment Video
Updated: Sep 6, 2025
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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
469
Relationship Between the Ability to Detect Frequency Changes or Temporal Gaps and Speech Perception Performance in
Dianzhao Xie1, Jianfen Luo1, Xiuhua Chao1
1Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Frontiers in Neuroscience
|June 27, 2022
Summary
Cochlear implant (CI) users
Area of Science:
- Auditory Neuroscience
- Speech Perception
- Cochlear Implants
Background:
- Previous studies on cochlear implant (CI) users' speech perception yielded inconsistent results regarding frequency and time resolution.
- Understanding the interplay between frequency and time resolution is crucial for improving speech perception in CI users.
Purpose of the Study:
- To investigate the independent and combined effects of frequency resolution and time resolution on speech perception in post-lingual CI users.
- To correlate psychophysical measures (frequency change detection threshold - FCDT, gap detection threshold - GDT) and neurophysiological responses (acoustic change complex - ACC) with speech perception abilities.
Main Methods:
- Employed psychophysical (FCDT, GDT) and neurophysiological (ACC) methods in 31 post-lingual Mandarin Chinese CI users.
- Assessed speech perception using monosyllabic words, disyllabic words, sentences in quiet, and sentence recognition threshold (SRT) in noise.
- Utilized pure tones for frequency change detection and white noise with temporal gaps for temporal gap detection, measuring ACC responses.
Main Results:
- No significant correlation was found between CI hearing threshold and speech perception.
- Gap detection threshold (GDT) significantly predicted all speech perception measures.
- ACC amplitude evoked by temporal gaps predicted disyllabic word recognition and SRT in noise.
Conclusions:
- Time resolution, specifically gap detection ability, significantly predicts speech perception in CI users.
- Frequency resolution, as measured by frequency change detection, may not significantly impact speech perception when considered alongside time resolution.
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