Literature DB >> 20570340

Language-dependent pitch encoding advantage in the brainstem is not limited to acceleration rates that occur in natural speech.

Ananthanarayan Krishnan1, Jackson T Gandour, Christopher J Smalt, Gavin M Bidelman.   

Abstract

Experience-dependent enhancement of neural encoding of pitch in the auditory brainstem has been observed for only specific portions of native pitch contours exhibiting high rates of pitch acceleration, irrespective of speech or nonspeech contexts. This experiment allows us to determine whether this language-dependent advantage transfers to acceleration rates that extend beyond the pitch range of natural speech. Brainstem frequency-following responses (FFRs) were recorded from Chinese and English participants in response to four, 250-ms dynamic click-train stimuli with different rates of pitch acceleration. The maximum pitch acceleration rates in a given stimulus ranged from low (0.3Hz/ms; Mandarin Tone 2) to high (2.7Hz/ms; 2 octaves). Pitch strength measurements were computed from the FFRs using autocorrelation algorithms with an analysis window centered at the point of maximum pitch acceleration in each stimulus. Between-group comparisons of pitch strength revealed that Chinese exhibit more robust pitch representation than English across all four acceleration rates. Regardless of language group, pitch strength was greater in response to acceleration rates within or proximal to natural speech relative to those beyond its range. Though both groups showed decreasing pitch strength with increasing acceleration rates, pitch representations of the Chinese group were more resistant to degradation. FFR spectral data were complementary across acceleration rates. These findings demonstrate that perceptually salient pitch cues associated with lexical tone influence brainstem pitch extraction not only in the speech domain, but also in auditory signals that clearly fall outside the range of dynamic pitch that a native listener is exposed to. 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20570340      PMCID: PMC2913296          DOI: 10.1016/j.bandl.2010.05.004

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  26 in total

1.  Pitch is determined by naturally occurring periodic sounds.

Authors:  David A Schwartz; Dale Purves
Journal:  Hear Res       Date:  2004-08       Impact factor: 3.208

2.  Specificity of experience-dependent pitch representation in the brainstem.

Authors:  Yisheng Xu; Ananthanarayan Krishnan; Jackson T Gandour
Journal:  Neuroreport       Date:  2006-10-23       Impact factor: 1.837

3.  The influence of linguistic experience on the cognitive processing of pitch in speech and nonspeech sounds.

Authors:  Tessa Bent; Ann R Bradlow; Beverly A Wright
Journal:  J Exp Psychol Hum Percept Perform       Date:  2006-02       Impact factor: 3.332

4.  Applications of static and dynamic iterated rippled noise to evaluate pitch encoding in the human auditory brainstem.

Authors:  Jayaganesh Swaminathan; Ananthanarayan Krishnan; Jackson T Gandour; Yisheng Xu
Journal:  IEEE Trans Biomed Eng       Date:  2008-01       Impact factor: 4.538

5.  The linguistic benefits of musical abilities.

Authors:  Aniruddh D Patel; John R Iversen
Journal:  Trends Cogn Sci       Date:  2007-08-16       Impact factor: 20.229

6.  Neural correlates of the pitch of complex tones. I. Pitch and pitch salience.

Authors:  P A Cariani; B Delgutte
Journal:  J Neurophysiol       Date:  1996-09       Impact factor: 2.714

7.  Brainstem pitch representation in native speakers of Mandarin is less susceptible to degradation of stimulus temporal regularity.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Gavin M Bidelman
Journal:  Brain Res       Date:  2009-12-02       Impact factor: 3.252

8.  Pitch encoding in speech and nonspeech contexts in the human auditory brainstem.

Authors:  Jayaganesh Swaminathan; Ananthanarayan Krishnan; Jackson T Gandour
Journal:  Neuroreport       Date:  2008-07-16       Impact factor: 1.837

9.  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

10.  Neuroplasticity in the processing of pitch dimensions: a multidimensional scaling analysis of the mismatch negativity.

Authors:  Bharath Chandrasekaran; Jackson T Gandour; Ananthanarayan Krishnan
Journal:  Restor Neurol Neurosci       Date:  2007       Impact factor: 2.406

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  17 in total

1.  LANGUAGE EXPERIENCE SHAPES PROCESSING OF PITCH RELEVANT INFORMATION IN THE HUMAN BRAINSTEM AND AUDITORY CORTEX: ELECTROPHYSIOLOGICAL EVIDENCE.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour
Journal:  Acoust Aust       Date:  2014-12       Impact factor: 1.500

2.  Language-dependent changes in pitch-relevant neural activity in the auditory cortex reflect differential weighting of temporal attributes of pitch contours.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Yi Xu; Chandan H Suresh
Journal:  J Neurolinguistics       Date:  2016-09-16       Impact factor: 1.710

3.  Language-experience plasticity in neural representation of changes in pitch salience.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Chandan H Suresh
Journal:  Brain Res       Date:  2016-02-20       Impact factor: 3.252

4.  Cortical pitch response components index stimulus onset/offset and dynamic features of pitch contours.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Saradha Ananthakrishnan; Venkatakrishnan Vijayaraghavan
Journal:  Neuropsychologia       Date:  2014-04-18       Impact factor: 3.139

5.  Reading acquisition reorganizes the phonological awareness network only in alphabetic writing systems.

Authors:  Christine Brennan; Fan Cao; Nicole Pedroarena-Leal; Chris McNorgan; James R Booth
Journal:  Hum Brain Mapp       Date:  2012-07-19       Impact factor: 5.038

6.  Functional ear (a)symmetry in brainstem neural activity relevant to encoding of voice pitch: a precursor for hemispheric specialization?

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Saradha Ananthakrishnan; Gavin M Bidelman; Christopher J Smalt
Journal:  Brain Lang       Date:  2011-06-11       Impact factor: 2.381

7.  Stability and plasticity in neural encoding of linguistically relevant pitch patterns.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Neurophysiol       Date:  2017-01-11       Impact factor: 2.714

8.  Experience-dependent enhancement of pitch-specific responses in the auditory cortex is limited to acceleration rates in normal voice range.

Authors:  A Krishnan; J T Gandour; C H Suresh
Journal:  Neuroscience       Date:  2015-07-09       Impact factor: 3.590

9.  Sex differences and endocrine regulation of auditory-evoked, neural responses in African clawed frogs (Xenopus).

Authors:  Ian C Hall; Sarah M N Woolley; Ursula Kwong-Brown; Darcy B Kelley
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-11-14       Impact factor: 1.836

10.  Distortion products and their influence on representation of pitch-relevant information in the human brainstem for unresolved harmonic complex tones.

Authors:  Christopher J Smalt; Ananthanarayan Krishnan; Gavin M Bidelman; Saradha Ananthakrishnan; Jackson T Gandour
Journal:  Hear Res       Date:  2012-08-14       Impact factor: 3.208

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