Journal article
Neural indices of phonemic discrimination and sentence-level speech intelligibility in quiet and noise: A mismatch negativity study
Hearing research, Vol.339, pp.40-49
09/2016
DOI: 10.1016/j.heares.2016.06.001
PMID: 27267705
Abstract
Successful speech communication requires the extraction of important acoustic cues from irrelevant background noise. In order to better understand this process, this study examined the effects of background noise on mismatch negativity (MMN) latency, amplitude, and spectral power measures as well as behavioral speech intelligibility tasks. Auditory event-related potentials (AERPs) were obtained from 15 normal-hearing participants to determine whether pre-attentive MMN measures recorded in response to a consonant (from /ba/ to /bu/) and vowel change (from /ba/ to /da/) in a double-oddball paradigm can predict sentence-level speech perception. The results showed that background noise increased MMN latencies and decreased MMN amplitudes with a reduction in the theta frequency band power. Differential noise-induced effects were observed for the pre-attentive processing of consonant and vowel changes due to different degrees of signal degradation by noise. Linear mixed-effects models further revealed significant correlations between the MMN measures and speech intelligibility scores across conditions and stimuli. These results confirm the utility of MMN as an objective neural marker for understanding noise-induced variations as well as individual differences in speech perception, which has important implications for potential clinical applications. •Noise differentially impacts cortical processing of consonant and vowel stimuli.•Noise-induced changes in MMN are reflected in theta band power.•Segmental MMN measures are able to predict sentence-level intelligibility.
Details
- Title: Subtitle
- Neural indices of phonemic discrimination and sentence-level speech intelligibility in quiet and noise: A mismatch negativity study
- Creators
- Tess K Koerner - Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN 55455, USAYang Zhang - Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN 55455, USAPeggy B Nelson - Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN 55455, USABoxiang Wang - School of Statistics, University of Minnesota, Minneapolis, MN 55455, USAHui Zou - School of Statistics, University of Minnesota, Minneapolis, MN 55455, USA
- Resource Type
- Journal article
- Publication Details
- Hearing research, Vol.339, pp.40-49
- DOI
- 10.1016/j.heares.2016.06.001
- PMID
- 27267705
- NLM abbreviation
- Hear Res
- ISSN
- 0378-5955
- eISSN
- 1878-5891
- Publisher
- Elsevier B.V
- Grant note
- name: Charles E. Speaks Graduate Fellowship; name: Bryng Bryngelson Research Fund; DOI: 10.13039/100008180, name: Capita Foundation; DOI: 10.13039/100007249, name: University of Minnesota, award: NIDCD R01-DC008306 (PBN)
- Language
- English
- Date published
- 09/2016
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9983985803302771
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