Literature DB >> 18818121

Brainstem encoding of voiced consonant--vowel stop syllables.

Krista L Johnson1, Trent Nicol, Steven G Zecker, Ann R Bradlow, Erika Skoe, Nina Kraus.   

Abstract

OBJECTIVE: The purpose of this study is to expand our understanding of how the human auditory brainstem encodes temporal and spectral acoustic cues in voiced stop consonant-vowel syllables.
METHODS: Auditory evoked potentials measuring activity from the brainstem of 22 normal learning children were recorded to the voiced stop consonant syllables [ga], [da], and [ba]. Spectrotemporal information distinguishing these voiced consonant-vowel syllables is contained within the first few milliseconds of the burst and the formant transition to the vowel. Responses were compared across stimuli with respect to their temporal and spectral content.
RESULTS: Brainstem response latencies change in a predictable manner in response to systematic alterations in a speech syllable indicating that the distinguishing acoustic cues are represented by neural response timing (synchrony). Spectral analyses of the responses show frequency distribution differences across stimuli (some of which appear to represent acoustic characteristics created by difference tones of the stimulus formants) indicating that neural phase-locking is also important for encoding these acoustic elements.
CONCLUSIONS: Considered within the context of existing knowledge of brainstem encoding of speech-sound structure, these data are the beginning of a comprehensive delineation of how the human auditory brainstem encodes perceptually critical features of speech. SIGNIFICANCE: The results of this study could be used to determine how neural encoding is disrupted in the clinical populations for whom stop consonants pose particular perceptual challenges (e.g., hearing impaired individuals and poor readers).

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Mesh:

Year:  2008        PMID: 18818121     DOI: 10.1016/j.clinph.2008.07.277

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  24 in total

1.  Cross-phaseogram: objective neural index of speech sound differentiation.

Authors:  Erika Skoe; Trent Nicol; Nina Kraus
Journal:  J Neurosci Methods       Date:  2011-01-26       Impact factor: 2.390

Review 2.  Objective neural indices of speech-in-noise perception.

Authors:  Samira Anderson; Nina Kraus
Journal:  Trends Amplif       Date:  2010-06

3.  Construction of Hindi Speech Stimuli for Eliciting Auditory Brainstem Responses.

Authors:  Mohammad Shamim Ansari; R Rangasayee
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2016-07-08

4.  Inferior colliculus contributions to phase encoding of stop consonants in an animal model.

Authors:  Catherine M Warrier; Daniel A Abrams; Trent G Nicol; Nina Kraus
Journal:  Hear Res       Date:  2011-09-16       Impact factor: 3.208

5.  Perception of speech in noise: neural correlates.

Authors:  Judy H Song; Erika Skoe; Karen Banai; Nina Kraus
Journal:  J Cogn Neurosci       Date:  2010-08-03       Impact factor: 3.225

6.  Neural timing is linked to speech perception in noise.

Authors:  Samira Anderson; Erika Skoe; Bharath Chandrasekaran; Nina Kraus
Journal:  J Neurosci       Date:  2010-04-07       Impact factor: 6.167

7.  Rapid acoustic processing in the auditory brainstem is not related to cortical asymmetry for the syllable rate of speech.

Authors:  Daniel A Abrams; Trent Nicol; Steven Zecker; Nina Kraus
Journal:  Clin Neurophysiol       Date:  2010-04-08       Impact factor: 3.708

Review 8.  Auditory brain stem response to complex sounds: a tutorial.

Authors:  Erika Skoe; Nina Kraus
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

9.  Cortical and subcortical processing of short duration speech stimuli in trained rock musicians: a pilot study.

Authors:  Prawin Kumar; Sam Publius Anil; Vibhu Grover; Himanshu Kumar Sanju; Sachchidanand Sinha
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-08-26       Impact factor: 2.503

10.  Subcortical differentiation of stop consonants relates to reading and speech-in-noise perception.

Authors:  Jane Hornickel; Erika Skoe; Trent Nicol; Steven Zecker; Nina Kraus
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-17       Impact factor: 11.205

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