Literature DB >> 19028139

Auditory training alters the physiological detection of stimulus-specific cues in humans.

Kelly L Tremblay1, Antoine J Shahin, Terence Picton, Bernhard Ross.   

Abstract

OBJECTIVE: Auditory training alters neural activity in humans but it is unknown if these alterations are specific to the trained cue. The objective of this study was to determine if enhanced cortical activity was specific to the trained voice-onset-time (VOT) stimuli 'mba' and 'ba', or whether it generalized to the control stimulus 'a' that did not contain the trained cue.
METHODS: Thirteen adults were trained to identify a 10ms VOT cue that differentiated the two experimental stimuli. We recorded event-related potentials (ERPs) evoked by three different speech sounds 'ba' 'mba' and 'a' before and after six days of VOT training.
RESULTS: The P2 wave increased in amplitude after training for both control and experimental stimuli, but the effects differed between stimulus conditions. Whereas the effects of training on P2 amplitude were greatest in the left hemisphere for the trained stimuli, enhanced P2 activity was seen in both hemispheres for the control stimulus. In addition, subjects with enhanced pre-training N1 amplitudes were more responsive to training and showed the most perceptual improvement.
CONCLUSION: Both stimulus-specific and general effects of training can be measured in humans. An individual's pre-training N1 response might predict their capacity for improvement. SIGNIFICANCE: N1 and P2 responses can be used to examine physiological correlates of human auditory perceptual learning.

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Mesh:

Year:  2008        PMID: 19028139      PMCID: PMC2654261          DOI: 10.1016/j.clinph.2008.10.005

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


  39 in total

1.  Distributed auditory cortical representations are modified when non-musicians are trained at pitch discrimination with 40 Hz amplitude modulated tones.

Authors:  Daniel J Bosnyak; Robert A Eaton; Larry E Roberts
Journal:  Cereb Cortex       Date:  2004-04-27       Impact factor: 5.357

2.  Speech evoked cortical potentials: effects of age and stimulus presentation rate.

Authors:  Kelly L Tremblay; Curtis Billings; Neeru Rohila
Journal:  J Am Acad Audiol       Date:  2004-03       Impact factor: 1.664

Review 3.  A review of the evidence for P2 being an independent component process: age, sleep and modality.

Authors:  Kate E Crowley; Ian M Colrain
Journal:  Clin Neurophysiol       Date:  2004-04       Impact factor: 3.708

4.  Modulation of early auditory processing during selective listening to rapidly presented tones.

Authors:  M G Woldorff; S A Hillyard
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1991-09

5.  Representation of a voice onset time continuum in primary auditory cortex of the cat.

Authors:  J J Eggermont
Journal:  J Acoust Soc Am       Date:  1995-08       Impact factor: 1.840

6.  Attention modulates auditory pattern memory as indexed by event-related brain potentials.

Authors:  C Alain; D L Woods
Journal:  Psychophysiology       Date:  1997-09       Impact factor: 4.016

7.  The N1 wave of the human electric and magnetic response to sound: a review and an analysis of the component structure.

Authors:  R Näätänen; T Picton
Journal:  Psychophysiology       Date:  1987-07       Impact factor: 4.016

8.  Electrical signs of selective attention in the human brain.

Authors:  S A Hillyard; R F Hink; V L Schwent; T W Picton
Journal:  Science       Date:  1973-10-12       Impact factor: 47.728

9.  Physiologic correlates of the voice onset time boundary in primary auditory cortex (A1) of the awake monkey: temporal response patterns.

Authors:  M Steinschneider; C E Schroeder; J C Arezzo; H G Vaughan
Journal:  Brain Lang       Date:  1995-03       Impact factor: 2.381

10.  Transfer of training of a new linguistic contrast in voicing.

Authors:  C L McClaskey; D B Pisoni; T D Carrell
Journal:  Percept Psychophys       Date:  1983-10
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  32 in total

1.  Evoked-potential changes following discrimination learning involving complex sounds.

Authors:  Itzel Orduña; Estella H Liu; Barbara A Church; Ann C Eddins; Eduardo Mercado
Journal:  Clin Neurophysiol       Date:  2011-09-29       Impact factor: 3.708

2.  Listening and Learning: Cognitive Contributions to the Rehabilitation of Older Adults With and Without Audiometrically Defined Hearing Loss.

Authors:  Kelly L Tremblay; Kristina C Backer
Journal:  Ear Hear       Date:  2016 Jul-Aug       Impact factor: 3.570

3.  Training to improve hearing speech in noise: biological mechanisms.

Authors:  Judy H Song; Erika Skoe; Karen Banai; Nina Kraus
Journal:  Cereb Cortex       Date:  2011-07-28       Impact factor: 5.357

4.  Playing Music for a Smarter Ear: Cognitive, Perceptual and Neurobiological Evidence.

Authors:  Dana Strait; Nina Kraus
Journal:  Music Percept       Date:  2011-12-01

5.  Aided cortical auditory evoked potentials in response to changes in hearing aid gain.

Authors:  Curtis J Billings; Kelly L Tremblay; Christi W Miller
Journal:  Int J Audiol       Date:  2011-04-12       Impact factor: 2.117

6.  Change in Speech Perception and Auditory Evoked Potentials over Time after Unilateral Cochlear Implantation in Postlingually Deaf Adults.

Authors:  Suzanne C Purdy; Andrea S Kelly
Journal:  Semin Hear       Date:  2016-02

7.  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

8.  Auditory-evoked cortical activity: contribution of brain noise, phase locking, and spectral power.

Authors:  Kelly C Harris; Kenneth I Vaden; Judy R Dubno
Journal:  J Basic Clin Physiol Pharmacol       Date:  2014-09

9.  Auditory Training: Evidence for Neural Plasticity in Older Adults.

Authors:  Samira Anderson; Nina Kraus
Journal:  Perspect Hear Hear Disord Res Res Diagn       Date:  2013-05

10.  Repeated stimulus exposure alters the way sound is encoded in the human brain.

Authors:  Kelly L Tremblay; Kayo Inoue; Katrina McClannahan; Bernhard Ross
Journal:  PLoS One       Date:  2010-04-22       Impact factor: 3.240

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