Literature DB >> 20215743

Stimulus rate and subcortical auditory processing of speech.

Jennifer L Krizman1, Erika Skoe, Nina Kraus.   

Abstract

Many sounds in the environment, including speech, are temporally dynamic. The auditory brainstem is exquisitely sensitive to temporal features of the incoming acoustic stream, and by varying the speed of presentation of these auditory signals it is possible to investigate the precision with which temporal cues are represented at a subcortical level. Therefore, to determine the effects of stimulation rate on the auditory brainstem response (ABR), we recorded evoked responses to both a click and a consonant-vowel speech syllable (/da/) presented at three rates (15.4, 10.9 and 6.9 Hz). We hypothesized that stimulus rate affects the onset to speech-evoked responses to a greater extent than click-evoked responses and that subcomponents of the speech- ABR are distinctively affected. While the click response was invariant with changes in stimulus rate, timing of the onset response to /da/ varied systematically, increasing in peak latency as presentation rate increased. Contrasts between the click- and speech-evoked onset responses likely reflect acoustic differences, where the speech stimulus onset is more gradual, has more delineated spectral information, and is more susceptible to backward masking by the subsequent formant transition. The frequency-following response (FFR) was also rate dependent, with response magnitude of the higher frequencies (>400 Hz), but not the frequencies corresponding to the fundamental frequency, diminishing with increasing rate. The selective impact of rate on high-frequency components of the FFR implicates the involvement of distinct underlying neural mechanisms for high- versus low-frequency components of the response. Furthermore, the different rate sensitivities of the speech-evoked onset response and subcomponents of the FFR support the involvement of different neural streams for these two responses. Taken together, these differential effects of rate on the ABR components likely reflect distinct aspects of auditory function such that varying rate of presentation of complex stimuli may be expected to elicit unique patterns of abnormality, depending on the clinical population. Copyright 2010 S. Karger AG, Basel.

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Year:  2010        PMID: 20215743      PMCID: PMC2919427          DOI: 10.1159/000289572

Source DB:  PubMed          Journal:  Audiol Neurootol        ISSN: 1420-3030            Impact factor:   1.854


  55 in total

1.  The human frequency-following response (FFR): normal variability and relation to the click-evoked brainstem response.

Authors:  J Hoormann; M Falkenstein; J Hohnsbein; L Blanke
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2.  Speech-evoked brainstem frequency-following responses during verbal transformations due to word repetition.

Authors:  G C Galbraith; S P Jhaveri; J Kuo
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1997-01

Review 3.  Auditory brain stem response for objective measures of hearing.

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4.  Perception of short-term spectral cues for stop consonant place by normal and hearing-impaired subjects.

Authors:  D J Van Tasell; L T Hagen; L L Koblas; S G Penner
Journal:  J Acoust Soc Am       Date:  1982-12       Impact factor: 1.840

5.  Intelligible speech encoded in the human brain stem frequency-following response.

Authors:  G C Galbraith; P W Arbagey; R Branski; N Comerci; P M Rector
Journal:  Neuroreport       Date:  1995-11-27       Impact factor: 1.837

Review 6.  Central auditory aging: GABA changes in the inferior colliculus.

Authors:  D M Caspary; J C Milbrandt; R H Helfert
Journal:  Exp Gerontol       Date:  1995 May-Aug       Impact factor: 4.032

7.  The relationship between auditory temporal analysis and receptive language development: evidence from studies of developmental language disorder.

Authors:  P Tallal; R E Stark; D Mellits
Journal:  Neuropsychologia       Date:  1985       Impact factor: 3.139

8.  The effects of ABR stimulus repetition rate in multiple sclerosis.

Authors:  J T Jacobson; T J Murray; U Deppe
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9.  Brainstem timing deficits in children with learning impairment may result from corticofugal origins.

Authors:  Judy H Song; Karen Banai; Nina Kraus
Journal:  Audiol Neurootol       Date:  2008-05-19       Impact factor: 1.854

10.  Temporal processing deficits of language-learning impaired children ameliorated by training.

Authors:  M M Merzenich; W M Jenkins; P Johnston; C Schreiner; S L Miller; P Tallal
Journal:  Science       Date:  1996-01-05       Impact factor: 47.728

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  14 in total

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3.  Sex differences in auditory subcortical function.

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4.  Brainstem correlates of speech-in-noise perception in children.

Authors:  Samira Anderson; Erika Skoe; Bharath Chandrasekaran; Steven Zecker; Nina Kraus
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5.  Auditory brainstem response to complex sounds predicts self-reported speech-in-noise performance.

Authors:  Samira Anderson; Alexandra Parbery-Clark; Travis White-Schwoch; Nina Kraus
Journal:  J Speech Lang Hear Res       Date:  2012-07-03       Impact factor: 2.297

6.  Test-retest reliability of the speech-evoked auditory brainstem response.

Authors:  Judy H Song; Trent Nicol; Nina Kraus
Journal:  Clin Neurophysiol       Date:  2010-08-16       Impact factor: 3.708

Review 7.  Auditory brain stem response to complex sounds: a tutorial.

Authors:  Erika Skoe; Nina Kraus
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8.  Stability and plasticity of auditory brainstem function across the lifespan.

Authors:  Erika Skoe; Jennifer Krizman; Samira Anderson; Nina Kraus
Journal:  Cereb Cortex       Date:  2013-12-22       Impact factor: 5.357

9.  Analyzing the FFR: A tutorial for decoding the richness of auditory function.

Authors:  Jennifer Krizman; Nina Kraus
Journal:  Hear Res       Date:  2019-08-08       Impact factor: 3.208

10.  Effect of Repetition Rate on Speech Evoked Auditory Brainstem Response in Younger and Middle Aged Individuals.

Authors:  Anuj Kumar Neupane; Krithika Gururaj; Garvita Mehta; Sujeet Kumar Sinha
Journal:  Audiol Res       Date:  2014-09-18
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