Literature DB >> 26146197

Effects of language experience and stimulus context on the neural organization and categorical perception of speech.

Gavin M Bidelman1, Chia-Cheng Lee2.   

Abstract

Categorical perception (CP) represents a fundamental process in converting continuous speech acoustics into invariant percepts. Using scalp-recorded event-related brain potentials (ERPs), we investigated how tone-language experience and stimulus context influence the CP for lexical tones-pitch patterns used by a majority of the world's languages to signal word meaning. Stimuli were vowel pairs overlaid with a high-level tone (T1) followed by a pitch continuum spanning between dipping (T3) and rising (T2) contours of the Mandarin tonal space. To vary context, T1 either preceded or followed the critical T2/T3 continuum. Behaviorally, native Chinese showed stronger CP as evident by their steeper, more dichotomous psychometric functions and faster identification of linguistic pitch patterns than native English-speaking controls. Stimulus context produced shifts in both groups' categorical boundary but was more exaggerated in native listeners. Analysis of source activity extracted from primary auditory cortex revealed overall stronger neural encoding of tone in Chinese compared to English, indicating experience-dependent plasticity in cortical pitch processing. More critically, "neurometric" functions derived from multidimensional scaling and clustering of source ERPs established: (i) early auditory cortical activity could accurately predict listeners' psychometric speech identification and contextual shifts in the perceptual boundary; (ii) neurometric profiles were organized more categorically in native speakers. Our data show that tone-language experience refines early auditory cortical brain representations so as to supply more faithful templates to neural mechanisms subserving lexical pitch categorization. We infer that contextual influence on the CP for tones is determined by language experience and the frequency of pitch patterns as they occur in listeners' native lexicon.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Auditory event-related potentials (ERP); Categorical perception; Experience-dependent plasticity; Linguistic tones; Mandarin Chinese; Stimulus context effects

Mesh:

Year:  2015        PMID: 26146197     DOI: 10.1016/j.neuroimage.2015.06.087

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  18 in total

1.  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

2.  Acoustic noise and vision differentially warp the auditory categorization of speech.

Authors:  Gavin M Bidelman; Lauren Sigley; Gwyneth A Lewis
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

3.  The Musical Ear Test: Norms and correlates from a large sample of Canadian undergraduates.

Authors:  Swathi Swaminathan; Haley E Kragness; E Glenn Schellenberg
Journal:  Behav Res Methods       Date:  2021-03-11

4.  Afferent-efferent connectivity between auditory brainstem and cortex accounts for poorer speech-in-noise comprehension in older adults.

Authors:  Gavin M Bidelman; Caitlin N Price; Dawei Shen; Stephen R Arnott; Claude Alain
Journal:  Hear Res       Date:  2019-08-27       Impact factor: 3.208

5.  Plasticity in auditory categorization is supported by differential engagement of the auditory-linguistic network.

Authors:  Gavin M Bidelman; Breya Walker
Journal:  Neuroimage       Date:  2019-07-13       Impact factor: 6.556

6.  Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions.

Authors:  Rakib Al-Fahad; Mohammed Yeasin; Gavin M Bidelman
Journal:  J Neural Eng       Date:  2020-02-05       Impact factor: 5.379

7.  Speech categorization is better described by induced rather than evoked neural activity.

Authors:  Md Sultan Mahmud; Mohammed Yeasin; Gavin M Bidelman
Journal:  J Acoust Soc Am       Date:  2021-03       Impact factor: 1.840

8.  Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization.

Authors:  Jared A Carter; Gavin M Bidelman
Journal:  Brain Res       Date:  2021-02-23       Impact factor: 3.252

9.  Data-driven machine learning models for decoding speech categorization from evoked brain responses.

Authors:  Md Sultan Mahmud; Mohammed Yeasin; Gavin M Bidelman
Journal:  J Neural Eng       Date:  2021-03-23       Impact factor: 5.379

10.  Auditory categorical processing for speech is modulated by inherent musical listening skills.

Authors:  Kelsey Mankel; Jacob Barber; Gavin M Bidelman
Journal:  Neuroreport       Date:  2020-01-27       Impact factor: 1.703

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