Literature DB >> 20084007

Auditory brain stem response to complex sounds: a tutorial.

Erika Skoe1, Nina Kraus.   

Abstract

This tutorial provides a comprehensive overview of the methodological approach to collecting and analyzing auditory brain stem responses to complex sounds (cABRs). cABRs provide a window into how behaviorally relevant sounds such as speech and music are processed in the brain. Because temporal and spectral characteristics of sounds are preserved in this subcortical response, cABRs can be used to assess specific impairments and enhancements in auditory processing. Notably, subcortical auditory function is neither passive nor hardwired but dynamically interacts with higher-level cognitive processes to refine how sounds are transcribed into neural code. This experience-dependent plasticity, which can occur on a number of time scales (e.g., life-long experience with speech or music, short-term auditory training, on-line auditory processing), helps shape sensory perception. Thus, by being an objective and noninvasive means for examining cognitive function and experience-dependent processes in sensory activity, cABRs have considerable utility in the study of populations where auditory function is of interest (e.g., auditory experts such as musicians, and persons with hearing loss, auditory processing, and language disorders). This tutorial is intended for clinicians and researchers seeking to integrate cABRs into their clinical or research programs.

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Year:  2010        PMID: 20084007      PMCID: PMC2868335          DOI: 10.1097/AUD.0b013e3181cdb272

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  101 in total

1.  Corticofugal modulation of initial sound processing in the brain.

Authors:  Feng Luo; Qianzhou Wang; Alireza Kashani; Jun Yan
Journal:  J Neurosci       Date:  2008-11-05       Impact factor: 6.167

2.  Human auditory evoked potentials. II. Effects of attention.

Authors:  T W Picton; S A Hillyard
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1974-02

3.  Auditory steady-state responses to multiple simultaneous stimuli.

Authors:  O G Lins; T W Picton
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1995-09

4.  Atypical brainstem representation of onset and formant structure of speech sounds in children with language-based learning problems.

Authors:  Brad Wible; Trent Nicol; Nina Kraus
Journal:  Biol Psychol       Date:  2004-11       Impact factor: 3.251

5.  Speech-perception-in-noise deficits in dyslexia.

Authors:  Johannes C Ziegler; Catherine Pech-Georgel; Florence George; Christian Lorenzi
Journal:  Dev Sci       Date:  2009-09

6.  Neural correlates of consonance, dissonance, and the hierarchy of musical pitch in the human brainstem.

Authors:  Gavin M Bidelman; Ananthanarayan Krishnan
Journal:  J Neurosci       Date:  2009-10-21       Impact factor: 6.167

7.  Selective attention affects human brain stem frequency-following response.

Authors:  Gary C Galbraith; Darlene M Olfman; Todd M Huffman
Journal:  Neuroreport       Date:  2003-04-15       Impact factor: 1.837

8.  Experience-dependent neural representation of dynamic pitch in the brainstem.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Gavin M Bidelman; Jayaganesh Swaminathan
Journal:  Neuroreport       Date:  2009-03-04       Impact factor: 1.837

9.  Auditory neurophysiologic responses and discrimination deficits in children with learning problems.

Authors:  N Kraus; T J McGee; T D Carrell; S G Zecker; T G Nicol; D B Koch
Journal:  Science       Date:  1996-08-16       Impact factor: 47.728

Review 10.  Experience-induced malleability in neural encoding of pitch, timbre, and timing.

Authors:  Nina Kraus; Erika Skoe; Alexandra Parbery-Clark; Richard Ashley
Journal:  Ann N Y Acad Sci       Date:  2009-07       Impact factor: 5.691

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  217 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.  Human inferior colliculus activity relates to individual differences in spoken language learning.

Authors:  Bharath Chandrasekaran; Nina Kraus; Patrick C M Wong
Journal:  J Neurophysiol       Date:  2011-11-30       Impact factor: 2.714

3.  Subcortical encoding of sound is enhanced in bilinguals and relates to executive function advantages.

Authors:  Jennifer Krizman; Viorica Marian; Anthony Shook; Erika Skoe; Nina Kraus
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

4.  Spatial selective auditory attention in the presence of reverberant energy: individual differences in normal-hearing listeners.

Authors:  Dorea Ruggles; Barbara Shinn-Cunningham
Journal:  J Assoc Res Otolaryngol       Date:  2010-12-03

5.  Why middle-aged listeners have trouble hearing in everyday settings.

Authors:  Dorea Ruggles; Hari Bharadwaj; Barbara G Shinn-Cunningham
Journal:  Curr Biol       Date:  2012-06-21       Impact factor: 10.834

6.  Musicians and tone-language speakers share enhanced brainstem encoding but not perceptual benefits for musical pitch.

Authors:  Gavin M Bidelman; Jackson T Gandour; Ananthanarayan Krishnan
Journal:  Brain Cogn       Date:  2011-08-10       Impact factor: 2.310

Review 7.  Objective neural indices of speech-in-noise perception.

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

Review 8.  Subcortical pathways: Towards a better understanding of auditory disorders.

Authors:  Richard A Felix; Boris Gourévitch; Christine V Portfors
Journal:  Hear Res       Date:  2018-01-31       Impact factor: 3.208

9.  Rapid acquisition of auditory subcortical steady state responses using multichannel recordings.

Authors:  Hari M Bharadwaj; Barbara G Shinn-Cunningham
Journal:  Clin Neurophysiol       Date:  2014-01-29       Impact factor: 3.708

10.  The ability to move to a beat is linked to the consistency of neural responses to sound.

Authors:  Adam Tierney; Nina Kraus
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

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