Literature DB >> 20724355

Objective neural indices of speech-in-noise perception.

Samira Anderson1, Nina Kraus.   

Abstract

Numerous factors contribute to understanding speech in noisy listening environments. There is a clinical need for objective biological assessment of auditory factors that contribute to the ability to hear speech in noise, factors that are free from the demands of attention and memory. Subcortical processing of complex sounds such as speech (auditory brainstem responses to speech and other complex stimuli [cABRs]) reflects the integrity of auditory function. Because cABRs physically resemble the evoking acoustic stimulus, they can provide objective indices of the neural transcription of specific acoustic elements (e.g., temporal, spectral) important for hearing speech. As with brainstem responses to clicks and tones, cABRs are clinically viable in individual subjects. Subcortical transcription of complex sounds is also clinically viable because of its known experience-dependence and role in auditory learning. Together with other clinical measures, cABRs can inform the underlying biological nature of listening and language disorders, inform treatment strategies, and provide an objective index of therapeutic outcomes. In this article, the authors review recent studies demonstrating the role of subcortical speech encoding in successful speech-in-noise perception.

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Year:  2010        PMID: 20724355      PMCID: PMC3086460          DOI: 10.1177/1084713810380227

Source DB:  PubMed          Journal:  Trends Amplif        ISSN: 1084-7138


  78 in total

1.  Effects of location, frequency region, and time course of selective attention on auditory scene analysis.

Authors:  Rhodri Cusack; John Deeks; Genevieve Aikman; Robert P Carlyon
Journal:  J Exp Psychol Hum Percept Perform       Date:  2004-08       Impact factor: 3.332

2.  Brainstem responses to speech syllables.

Authors:  Nicole Russo; Trent Nicol; Gabriella Musacchia; Nina Kraus
Journal:  Clin Neurophysiol       Date:  2004-09       Impact factor: 3.708

3.  Auditory brainstem responses to tone bursts in normally hearing subjects.

Authors:  M P Gorga; J R Kaminski; K A Beauchaine; W Jesteadt
Journal:  J Speech Hear Res       Date:  1988-03

4.  Cues for perception of the diphthong /aI/ in either noise or reverberation. Part I. Duration of the transition.

Authors:  A K Nábĕlek; Z Czyzewski; H Crowley
Journal:  J Acoust Soc Am       Date:  1994-05       Impact factor: 1.840

5.  Thresholds for the detection of inharmonicity in complex tones.

Authors:  B C Moore; R W Peters; B R Glasberg
Journal:  J Acoust Soc Am       Date:  1985-05       Impact factor: 1.840

6.  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

7.  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

8.  Auditory temporal coding in dyslexia.

Authors:  K I McAnally; J F Stein
Journal:  Proc Biol Sci       Date:  1996-08-22       Impact factor: 5.349

9.  Simulation of auditory analysis of pitch: an elaboration on the DWS pitch meter.

Authors:  M T Scheffers
Journal:  J Acoust Soc Am       Date:  1983-12       Impact factor: 1.840

10.  Auditory training improves neural timing in the human brainstem.

Authors:  Nicole M Russo; Trent G Nicol; Steven G Zecker; Erin A Hayes; Nina Kraus
Journal:  Behav Brain Res       Date:  2005-01-06       Impact factor: 3.332

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  20 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

2.  Right-Ear Advantage for Speech-in-Noise Recognition in Patients with Nonlateralized Tinnitus and Normal Hearing Sensitivity.

Authors:  Yihsin Tai; Fatima T Husain
Journal:  J Assoc Res Otolaryngol       Date:  2017-11-27

3.  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

4.  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

5.  Representation of speech in human auditory cortex: is it special?

Authors:  Mitchell Steinschneider; Kirill V Nourski; Yonatan I Fishman
Journal:  Hear Res       Date:  2013-06-18       Impact factor: 3.208

6.  Sex differences in auditory subcortical function.

Authors:  Jennifer Krizman; Erika Skoe; Nina Kraus
Journal:  Clin Neurophysiol       Date:  2011-09-08       Impact factor: 3.708

7.  Frequency-dependent effects of background noise on subcortical response timing.

Authors:  A Tierney; A Parbery-Clark; E Skoe; N Kraus
Journal:  Hear Res       Date:  2011-09-05       Impact factor: 3.208

8.  Sustained envelope periodicity representations are associated with speech-in-noise performance in difficult listening conditions for younger and older adults.

Authors:  Carolyn M McClaskey; James W Dias; Kelly C Harris
Journal:  J Neurophysiol       Date:  2019-07-31       Impact factor: 2.714

9.  Effects of auditory processing training on speech perception and brainstem plastisity in adolescents with autism spectrum disorders.

Authors:  Maryam Ramezani; Yones Lotfi; Abdollah Moossavi; Enayatollah Bakhshi
Journal:  Iran J Child Neurol       Date:  2021

Review 10.  Hearing loss and brain plasticity: the hyperactivity phenomenon.

Authors:  Björn Herrmann; Blake E Butler
Journal:  Brain Struct Funct       Date:  2021-06-07       Impact factor: 3.270

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