Literature DB >> 22495037

Experience-dependent plasticity in pitch encoding: from brainstem to auditory cortex.

Ananthanarayan Krishnan1, Jackson Thomas Gandour, Gavin M Bidelman.   

Abstract

Linguistic and musical pitch provide an analytic window to evaluate how neural representations of important pitch attributes of a sound undergo transformation from early sensory to later cognitive stages of processing in the human brain, and how pitch-relevant experience shapes these representations. These pitch attributes are shaped differentially depending on their functional relevance to a listener. Neural encoding of pitch-relevant information is shaped by the perceptual salience of domain-specific features at subcortical (auditory brainstem) and cortical stages of processing. The emergence of a functional ear asymmetry in the neural encoding of pitch-relevant information at a lower sensory processing level supports the view that local and feedforward and feedback mechanisms are involved in pitch-relevant processing. A theoretical framework for a neural network is proposed involving coordination between local, feedforward, and feedback components that can account for experience-induced enhancement of pitch representations at multiple levels of the auditory pathway.

Entities:  

Mesh:

Year:  2012        PMID: 22495037      PMCID: PMC3342423          DOI: 10.1097/WNR.0b013e328353764d

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  35 in total

1.  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

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.  Specialization among the specialized: auditory brainstem function is tuned in to timbre.

Authors:  Dana L Strait; Karen Chan; Richard Ashley; Nina Kraus
Journal:  Cortex       Date:  2011-04-06       Impact factor: 4.027

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

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Christopher J Smalt; Gavin M Bidelman
Journal:  Brain Lang       Date:  2010-06-08       Impact factor: 2.381

5.  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

6.  Neural encoding in the human brainstem relevant to the pitch of complex tones.

Authors:  Ananthanarayan Krishnan; Christopher J Plack
Journal:  Hear Res       Date:  2010-12-16       Impact factor: 3.208

7.  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

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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  24 in total

1.  The neural encoding of formant frequencies contributing to vowel identification in normal-hearing listeners.

Authors:  Jong Ho Won; Kelly Tremblay; Christopher G Clinard; Richard A Wright; Elad Sagi; Mario Svirsky
Journal:  J Acoust Soc Am       Date:  2016-01       Impact factor: 1.840

2.  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

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.  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

6.  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

7.  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

8.  Pitch processing of dynamic lexical tones in the auditory cortex is influenced by sensory and extrasensory processes.

Authors:  Ananthanarayan Krishnan; Jackson T Gandour; Chandan H Suresh
Journal:  Eur J Neurosci       Date:  2015-05-06       Impact factor: 3.386

9.  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

10.  Language experience-dependent advantage in pitch representation in the auditory cortex is limited to favorable signal-to-noise ratios.

Authors:  Chandan H Suresh; Ananthanarayan Krishnan; Jackson T Gandour
Journal:  Hear Res       Date:  2017-09-14       Impact factor: 3.208

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