Literature DB >> 14987747

Human frequency-following response: representation of pitch contours in Chinese tones.

Ananthanarayan Krishnan1, Yisheng Xu, Jackson T Gandour, Peter A Cariani.   

Abstract

Auditory nerve single-unit population studies have demonstrated that phase-locking plays a dominant role in the neural encoding of both the spectrum and voice pitch of speech sounds. Phase-locked neural activity underlying the scalp-recorded human frequency-following response (FFR) has also been shown to encode certain spectral features of steady-state and time-variant speech sounds as well as pitch of several complex sounds that produce time-invariant pitch percepts. By extension, it was hypothesized that the human FFR may preserve pitch-relevant information for speech sounds that elicit time-variant as well as steady-state pitch percepts. FFRs were elicited in response to the four lexical tones of Mandarin Chinese as well as to a complex auditory stimulus which was spectrally different but equivalent in fundamental frequency (f0) contour to one of the Chinese tones. Autocorrelation-based pitch extraction measures revealed that the FFR does indeed preserve pitch-relevant information for all stimuli. Phase-locked interpeak intervals closely followed f0. Spectrally different stimuli that were equivalent in F0 similarly showed robust interpeak intervals that followed f0. These FFR findings support the viability of early, population-based 'predominant interval' representations of pitch in the auditory brainstem that are based on temporal patterns of phase-locked neural activity.

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Year:  2004        PMID: 14987747     DOI: 10.1016/S0378-5955(03)00402-7

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


  53 in total

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

Authors:  Ananthanarayan Krishnan; Gavin M Bidelman; Jackson T Gandour
Journal:  Hear Res       Date:  2010-05-10       Impact factor: 3.208

2.  Speech evoked auditory brainstem responses: a new tool to study brainstem encoding of speech sounds.

Authors:  Sujeet Kumar Sinha; Vijayalakshmi Basavaraj
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2011-01-11

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

Review 4.  Neural specializations for speech and pitch: moving beyond the dichotomies.

Authors:  Robert J Zatorre; Jackson T Gandour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

5.  Brainstem transcription of speech is disrupted in children with autism spectrum disorders.

Authors:  Nicole Russo; Trent Nicol; Barbara Trommer; Steve Zecker; Nina Kraus
Journal:  Dev Sci       Date:  2009-07

6.  Interactive effects of linguistic abstraction and stimulus statistics in the online modulation of neural speech encoding.

Authors:  Joseph C Y Lau; Patrick C M Wong; Bharath Chandrasekaran
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

7.  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

Review 8.  Machine Learning Approaches to Analyze Speech-Evoked Neurophysiological Responses.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2019-03-25       Impact factor: 2.297

Review 9.  Auditory brain stem response to complex sounds: a tutorial.

Authors:  Erika Skoe; Nina Kraus
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

10.  Audio-vocal system regulation in children with autism spectrum disorders.

Authors:  Nicole Russo; Charles Larson; Nina Kraus
Journal:  Exp Brain Res       Date:  2008-03-18       Impact factor: 1.972

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