Literature DB >> 20457239

Neural representation of pitch salience in the human brainstem revealed by psychophysical and electrophysiological indices.

Ananthanarayan Krishnan1, Gavin M Bidelman, Jackson T Gandour.   

Abstract

Acoustically, pitch is related to the temporal regularity or periodicity of a sound. Perceptual and electrophysiologic studies have revealed that pitch salience grows systematically with increasing stimulus periodicity. The aim of this study is to show that information relevant to pitch salience is already encoded in the phase-locked neural activity of brainstem neurons in order to demonstrate that the neural manifestation of pitch salience emerges well before cortical involvement. Brainstem frequency following responses (FFRs) were recorded from participants in response to linguistic tones, which varied only in their degree of pitch salience. Neural pitch strength was computed from FFRs using autocorrelation algorithms. In addition, behavioral frequency difference limens (F0 DLs) were measured from each participant to obtain a perceptual estimate related to pitch salience. Brainstem neural pitch strength increased systematically with increasing temporal regularity in stimulus periodicity, indicating more robust encoding for salient pitch. F0 DLs decreased with increasing stimulus periodicity revealing better pitch change detection for more salient stimuli. FFR neural pitch strength and behavioral F0 DLs were negatively correlated suggesting that subcortical processing can, in part, predict an individual's behavioral judgments of pitch salience. These data imply that changes to the acoustic periodicity of a stimulus directly influence brainstem encoding and the corresponding behavioral responses to pitch. We infer that information related to pitch salience may emerge early along the auditory pathway and is likely rooted in pre-attentive, sensory-level processing. Copyright (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20457239      PMCID: PMC3171186          DOI: 10.1016/j.heares.2010.04.016

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  45 in total

1.  Encoding of the temporal regularity of sound in the human brainstem.

Authors:  T D Griffiths; S Uppenkamp; I Johnsrude; O Josephs; R D Patterson
Journal:  Nat Neurosci       Date:  2001-06       Impact factor: 24.884

2.  Neuromagnetic evidence for a pitch processing center in Heschl's gyrus.

Authors:  K Krumbholz; R D Patterson; A Seither-Preisler; C Lammertmann; B Lütkenhöner
Journal:  Cereb Cortex       Date:  2003-07       Impact factor: 5.357

3.  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

4.  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

5.  Differential brainstem pathways for the conduction of auditory frequency-following responses.

Authors:  J T Marsh; W S Brown; J C Smith
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1974-04

6.  The human frequency-following response: its behavior during continuous tone and tone burst stimulation.

Authors:  E M Glaser; C M Suter; R Dasheiff; A Goldberg
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1976-01

7.  Neural temporal coding of low pitch. I. Human frequency-following responses to complex tones.

Authors:  S Greenberg; J T Marsh; W S Brown; J C Smith
Journal:  Hear Res       Date:  1987       Impact factor: 3.208

8.  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

9.  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

10.  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

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  32 in total

1.  Linguistic status of timbre influences pitch encoding in the brainstem.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Saradha Ananthakrishnan; Gavin M Bidelman; Christopher J Smalt
Journal:  Neuroreport       Date:  2011-11-16       Impact factor: 1.837

2.  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

3.  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

4.  A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones.

Authors:  Li Zhu; Hari Bharadwaj; Jing Xia; Barbara Shinn-Cunningham
Journal:  J Acoust Soc Am       Date:  2013-07       Impact factor: 1.840

5.  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

6.  Tone language experience-dependent advantage in pitch representation in brainstem and auditory cortex is maintained under reverberation.

Authors:  Ananthanarayan Krishnan; Chandan H Suresh; Jackson T Gandour
Journal:  Hear Res       Date:  2019-03-15       Impact factor: 3.208

7.  Hidden Markov modeling of frequency-following responses to Mandarin lexical tones.

Authors:  Fernando Llanos; Zilong Xie; Bharath Chandrasekaran
Journal:  J Neurosci Methods       Date:  2017-08-12       Impact factor: 2.390

8.  Age-related changes in the relationship between auditory brainstem responses and envelope-following responses.

Authors:  Aravindakshan Parthasarathy; Jyotishka Datta; Julie Ann Luna Torres; Charneka Hopkins; Edward L Bartlett
Journal:  J Assoc Res Otolaryngol       Date:  2014-05-21

9.  Human frequency following responses to iterated rippled noise with positive and negative gain: Differential sensitivity to waveform envelope and temporal fine-structure.

Authors:  Saradha Ananthakrishnan; Ananthanarayan Krishnan
Journal:  Hear Res       Date:  2018-07-29       Impact factor: 3.208

10.  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
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