Literature DB >> 23654406

Effects of hearing loss on the subcortical representation of speech cues.

Samira Anderson1, Alexandra Parbery-Clark, Travis White-Schwoch, Sarah Drehobl, Nina Kraus.   

Abstract

Individuals with sensorineural hearing loss often report frustration with speech being loud but not clear, especially in background noise. Despite advanced digital technology, hearing aid users may resort to removing their hearing aids in noisy environments due to the perception of excessive loudness. In an animal model, sensorineural hearing loss results in greater auditory nerve coding of the stimulus envelope, leading to a relative deficit of stimulus fine structure. Based on the hypothesis that brainstem encoding of the temporal envelope is greater in humans with sensorineural hearing loss, speech-evoked brainstem responses were recorded in normal hearing and hearing impaired age-matched groups of older adults. In the hearing impaired group, there was a disruption in the balance of envelope-to-fine structure representation compared to that of the normal hearing group. This imbalance may underlie the difficulty experienced by individuals with sensorineural hearing loss when trying to understand speech in background noise. This finding advances the understanding of the effects of sensorineural hearing loss on central auditory processing of speech in humans. Moreover, this finding has clinical potential for developing new amplification or implantation technologies, and in developing new training regimens to address this relative deficit of fine structure representation.

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Year:  2013        PMID: 23654406      PMCID: PMC3663860          DOI: 10.1121/1.4799804

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  52 in total

Review 1.  How cochlear implants encode speech.

Authors:  Jay T Rubinstein
Journal:  Curr Opin Otolaryngol Head Neck Surg       Date:  2004-10       Impact factor: 2.064

2.  Envelope and spectral frequency-following responses to vowel sounds.

Authors:  Steven J Aiken; Terence W Picton
Journal:  Hear Res       Date:  2008-08-19       Impact factor: 3.208

3.  Audiological correlates of speech understanding deficits in elderly listeners with mild-to-moderate hearing loss. III. Factor representation.

Authors:  P L Divenyi; K M Haupt
Journal:  Ear Hear       Date:  1997-06       Impact factor: 3.570

4.  A neural basis of speech-in-noise perception in older adults.

Authors:  Samira Anderson; Alexandra Parbery-Clark; Han-Gyol Yi; Nina Kraus
Journal:  Ear Hear       Date:  2011 Nov-Dec       Impact factor: 3.570

5.  Reversal of age-related neural timing delays with training.

Authors:  Samira Anderson; Travis White-Schwoch; Alexandra Parbery-Clark; Nina Kraus
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-11       Impact factor: 11.205

6.  Basilar membrane mechanics at the base of the chinchilla cochlea. I. Input-output functions, tuning curves, and response phases.

Authors:  L Robles; M A Ruggero; N C Rich
Journal:  J Acoust Soc Am       Date:  1986-11       Impact factor: 1.840

7.  Level-dependent changes in detection of temporal gaps in noise markers by adults with normal and impaired hearing.

Authors:  Amy R Horwitz; Jayne B Ahlstrom; Judy R Dubno
Journal:  J Acoust Soc Am       Date:  2011-11       Impact factor: 1.840

8.  The effect of bilateral deafness on excitatory and inhibitory synaptic strength in the inferior colliculus.

Authors:  Carmen Vale; Dan H Sanes
Journal:  Eur J Neurosci       Date:  2002-12       Impact factor: 3.386

9.  Adaptive plasticity in brainstem of adult listeners following earplug-induced deprivation.

Authors:  Kevin J Munro; Jennifer Blount
Journal:  J Acoust Soc Am       Date:  2009-08       Impact factor: 1.840

10.  Diminished temporal coding with sensorineural hearing loss emerges in background noise.

Authors:  Kenneth S Henry; Michael G Heinz
Journal:  Nat Neurosci       Date:  2012-09-09       Impact factor: 24.884

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  37 in total

Review 1.  Machine Learning Approaches to Analyze Speech-Evoked Neurophysiological Responses.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2019-03-25       Impact factor: 2.297

2.  Evidence of degraded representation of speech in noise, in the aging midbrain and cortex.

Authors:  Alessandro Presacco; Jonathan Z Simon; Samira Anderson
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

3.  Processing Complex Sounds Passing through the Rostral Brainstem: The New Early Filter Model.

Authors:  John E Marsh; Tom A Campbell
Journal:  Front Neurosci       Date:  2016-05-10       Impact factor: 4.677

4.  Effect of informational content of noise on speech representation in the aging midbrain and cortex.

Authors:  Alessandro Presacco; Jonathan Z Simon; Samira Anderson
Journal:  J Neurophysiol       Date:  2016-09-07       Impact factor: 2.714

5.  Afferent-efferent connectivity between auditory brainstem and cortex accounts for poorer speech-in-noise comprehension in older adults.

Authors:  Gavin M Bidelman; Caitlin N Price; Dawei Shen; Stephen R Arnott; Claude Alain
Journal:  Hear Res       Date:  2019-08-27       Impact factor: 3.208

6.  Age-related changes in auditory processing and speech perception: cross-sectional and longitudinal analyses.

Authors:  Harvey Babkoff; Leah Fostick
Journal:  Eur J Ageing       Date:  2017-01-24

7.  Mutual information analysis of neural representations of speech in noise in the aging midbrain.

Authors:  Peng Zan; Alessandro Presacco; Samira Anderson; Jonathan Z Simon
Journal:  J Neurophysiol       Date:  2019-10-09       Impact factor: 2.714

8.  Human Frequency Following Responses to Vocoded Speech.

Authors:  Saradha Ananthakrishnan; Xin Luo; Ananthanarayan Krishnan
Journal:  Ear Hear       Date:  2017 Sep/Oct       Impact factor: 3.570

9.  Partial maintenance of auditory-based cognitive training benefits in older adults.

Authors:  Samira Anderson; Travis White-Schwoch; Hee Jae Choi; Nina Kraus
Journal:  Neuropsychologia       Date:  2014-08-08       Impact factor: 3.139

10.  Neural and behavioral changes after the use of hearing aids.

Authors:  Hanin Karawani; Kimberly A Jenkins; Samira Anderson
Journal:  Clin Neurophysiol       Date:  2018-04-07       Impact factor: 3.708

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