Literature DB >> 31834142

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

Kelsey Mankel1,2, Jacob Barber1, Gavin M Bidelman1,2,3.   

Abstract

During successful auditory perception, the human brain classifies diverse acoustic information into meaningful groupings, a process known as categorical perception (CP). Intense auditory experiences (e.g., musical training and language expertise) shape categorical representations necessary for speech identification and novel sound-to-meaning learning, but little is known concerning the role of innate auditory function in CP. Here, we tested whether listeners vary in their intrinsic abilities to categorize complex sounds and individual differences in the underlying auditory brain mechanisms. To this end, we recorded EEGs in individuals without formal music training but who differed in their inherent auditory perceptual abilities (i.e., musicality) as they rapidly categorized sounds along a speech vowel continuum. Behaviorally, individuals with naturally more adept listening skills ("musical sleepers") showed enhanced speech categorization in the form of faster identification. At the neural level, inverse modeling parsed EEG data into different sources to evaluate the contribution of region-specific activity [i.e., auditory cortex (AC)] to categorical neural coding. We found stronger categorical processing in musical sleepers around the timeframe of P2 (~180 ms) in the right AC compared to those with poorer musical listening abilities. Our data show that listeners with naturally more adept auditory skills map sound to meaning more efficiently than their peers, which may aid novel sound learning related to language and music acquisition.

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Year:  2020        PMID: 31834142      PMCID: PMC6957750          DOI: 10.1097/WNR.0000000000001369

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.703


  22 in total

1.  Representation of sound categories in auditory cortical maps.

Authors:  Frank H Guenther; Alfonso Nieto-Castanon; Satrajit S Ghosh; Jason A Tourville
Journal:  J Speech Lang Hear Res       Date:  2004-02       Impact factor: 2.297

2.  Neuroanatomical correlates of musicianship as revealed by cortical thickness and voxel-based morphometry.

Authors:  Patrick Bermudez; Jason P Lerch; Alan C Evans; Robert J Zatorre
Journal:  Cereb Cortex       Date:  2008-12-10       Impact factor: 5.357

3.  Musical experience limits the degradative effects of background noise on the neural processing of sound.

Authors:  Alexandra Parbery-Clark; Erika Skoe; Nina Kraus
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

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

Authors:  Gavin M Bidelman; Chia-Cheng Lee
Journal:  Neuroimage       Date:  2015-07-03       Impact factor: 6.556

5.  Tracing the emergence of categorical speech perception in the human auditory system.

Authors:  Gavin M Bidelman; Sylvain Moreno; Claude Alain
Journal:  Neuroimage       Date:  2013-05-03       Impact factor: 6.556

6.  Coordinated plasticity in brainstem and auditory cortex contributes to enhanced categorical speech perception in musicians.

Authors:  Gavin M Bidelman; Michael W Weiss; Sylvain Moreno; Claude Alain
Journal:  Eur J Neurosci       Date:  2014-06-02       Impact factor: 3.386

7.  Linguistic, perceptual, and cognitive factors underlying musicians' benefits in noise-degraded speech perception.

Authors:  Jessica Yoo; Gavin M Bidelman
Journal:  Hear Res       Date:  2019-03-29       Impact factor: 3.208

8.  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

9.  Musical training orchestrates coordinated neuroplasticity in auditory brainstem and cortex to counteract age-related declines in categorical vowel perception.

Authors:  Gavin M Bidelman; Claude Alain
Journal:  J Neurosci       Date:  2015-01-21       Impact factor: 6.167

10.  Assessing musical abilities objectively: construction and validation of the profile of music perception skills.

Authors:  Lily N C Law; Marcel Zentner
Journal:  PLoS One       Date:  2012-12-28       Impact factor: 3.240

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  6 in total

1.  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

2.  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

3.  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

4.  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

5.  Functional Plasticity Coupled With Structural Predispositions in Auditory Cortex Shape Successful Music Category Learning.

Authors:  Kelsey Mankel; Utsav Shrestha; Aaryani Tipirneni-Sajja; Gavin M Bidelman
Journal:  Front Neurosci       Date:  2022-06-28       Impact factor: 5.152

6.  Dichotic listening deficits in amblyaudia are characterized by aberrant neural oscillations in auditory cortex.

Authors:  Sara Momtaz; Deborah Moncrieff; Gavin M Bidelman
Journal:  Clin Neurophysiol       Date:  2021-06-04       Impact factor: 4.861

  6 in total

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