Brainstem encoding of frequency-modulated sweeps is relevant to Mandarin concurrent-vowels identification for normal-hearing and hearing-impaired listeners

Zhen Fu, Hongying Yang, Fei Chen, Xihong Wu, Jing Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

F0 contours convey the primary information of lexical Tones for Mandarin Chinese, and the processing of time-varying F0 contours is important for Mandarin concurrent-vowels identification (MCVI). In this work, we examined the relationship between frequency modulation (FM) detection of auditory system and MCVI in both normal-hearing (NH) and hearing-impaired (HI) listeners. Three experiments were conducted with the same subjects to measure their MCVI, FM detection limen (FMDL), and frequency following responses (FFRs) evoked by FM sweeps, respectively. To ensure that F0 contour was the primary cue utilized, mean F0s and durations were equalized among all test vowels in the MCVI experiment. To simulate the pattern of F0 contours of Mandarin vowels, linearly FM sweeps were used as stimuli in the FMDL and FFRs experiments. The results confirmed that the performance of HI listeners was significantly worse than that of NH listeners in all of the three measurements. Besides, FFRs evoked by FM sweeps had significantly lower tracking accuracy than those evoked by steady tones only for HI listeners. The correlation analysis further revealed that any two of the three measured indices were significantly correlated when the effects of age and absolute threshold were partialed out (|r| ≥ 0.502, p ≤ 0.017). These results suggested an association between the poor performance of HI listeners in the MCVI task and their degraded auditory function on FM detection, and such a behavioral degradation has emerged in the phase-locking activity at the brainstem level.

Original languageEnglish
Pages (from-to)123-136
Number of pages14
JournalHearing Research
Volume380
DOIs
Publication statusPublished - 1 Sept 2019
Externally publishedYes

Keywords

  • Concurrent-vowels identification
  • Frequency modulation detection
  • Frequency-following responses
  • Hearing impairment

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