Literature DB >> 30509989

Inherent auditory skills rather than formal music training shape the neural encoding of speech.

Kelsey Mankel1,2, Gavin M Bidelman3,2,4.   

Abstract

Musical training is associated with a myriad of neuroplastic changes in the brain, including more robust and efficient neural processing of clean and degraded speech signals at brainstem and cortical levels. These assumptions stem largely from cross-sectional studies between musicians and nonmusicians which cannot address whether training itself is sufficient to induce physiological changes or whether preexisting superiority in auditory function before training predisposes individuals to pursue musical interests and appear to have similar neuroplastic benefits as musicians. Here, we recorded neuroelectric brain activity to clear and noise-degraded speech sounds in individuals without formal music training but who differed in their receptive musical perceptual abilities as assessed objectively via the Profile of Music Perception Skills. We found that listeners with naturally more adept listening skills ("musical sleepers") had enhanced frequency-following responses to speech that were also more resilient to the detrimental effects of noise, consistent with the increased fidelity of speech encoding and speech-in-noise benefits observed previously in highly trained musicians. Further comparisons between these musical sleepers and actual trained musicians suggested that experience provides an additional boost to the neural encoding and perception of speech. Collectively, our findings suggest that the auditory neuroplasticity of music engagement likely involves a layering of both preexisting (nature) and experience-driven (nurture) factors in complex sound processing. In the absence of formal training, individuals with intrinsically proficient auditory systems can exhibit musician-like auditory function that can be further shaped in an experience-dependent manner.

Entities:  

Keywords:  EEG; auditory event-related brain potentials; experience-dependent plasticity; frequency-following responses; nature vs. nurture

Mesh:

Year:  2018        PMID: 30509989      PMCID: PMC6304957          DOI: 10.1073/pnas.1811793115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  55 in total

1.  Listening to the brainstem: musicianship enhances intelligibility of subcortical representations for speech.

Authors:  Michael W Weiss; Gavin M Bidelman
Journal:  J Neurosci       Date:  2015-01-28       Impact factor: 6.167

2.  Piano training enhances the neural processing of pitch and improves speech perception in Mandarin-speaking children.

Authors:  Yun Nan; Li Liu; Eveline Geiser; Hua Shu; Chen Chen Gong; Qi Dong; John D E Gabrieli; Robert Desimone
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-25       Impact factor: 11.205

Review 3.  Musical training as a framework for brain plasticity: behavior, function, and structure.

Authors:  Sibylle C Herholz; Robert J Zatorre
Journal:  Neuron       Date:  2012-11-08       Impact factor: 17.173

4.  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

5.  Test-Retest Reliability of Dual-Recorded Brainstem versus Cortical Auditory-Evoked Potentials to Speech.

Authors:  Gavin M Bidelman; Monique Pousson; Calli Dugas; Amy Fehrenbach
Journal:  J Am Acad Audiol       Date:  2018-02       Impact factor: 1.664

6.  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

Review 7.  Experience-induced malleability in neural encoding of pitch, timbre, and timing.

Authors:  Nina Kraus; Erika Skoe; Alexandra Parbery-Clark; Richard Ashley
Journal:  Ann N Y Acad Sci       Date:  2009-07       Impact factor: 5.691

8.  Sources of frequency following responses (FFR) in man.

Authors:  H Sohmer; H Pratt; R Kinarti
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1977-05

9.  Towards an optimal paradigm for simultaneously recording cortical and brainstem auditory evoked potentials.

Authors:  Gavin M Bidelman
Journal:  J Neurosci Methods       Date:  2015-01-03       Impact factor: 2.390

10.  Comprehensive genomic analyses associate UGT8 variants with musical ability in a Mongolian population.

Authors:  Hansoo Park; Seungbok Lee; Hyun-Jin Kim; Young Seok Ju; Jong-Yeon Shin; Dongwan Hong; Marcin von Grotthuss; Dong-Sung Lee; Changho Park; Jennifer Hayeon Kim; Boram Kim; Yun Joo Yoo; Sung-Il Cho; Joohon Sung; Charles Lee; Jong-Il Kim; Jeong-Sun Seo
Journal:  J Med Genet       Date:  2012-11-01       Impact factor: 6.318

View more
  22 in total

1.  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

2.  Music training, music aptitude, and speech perception.

Authors:  E Glenn Schellenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-29       Impact factor: 11.205

3.  Reply to Schellenberg: Is there more to auditory plasticity than meets the ear?

Authors:  Gavin M Bidelman; Kelsey Mankel
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-29       Impact factor: 11.205

4.  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

5.  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

6.  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

7.  Amateur singing benefits speech perception in aging under certain conditions of practice: behavioural and neurobiological mechanisms.

Authors:  Maxime Perron; Josée Vaillancourt; Pascale Tremblay
Journal:  Brain Struct Funct       Date:  2022-01-11       Impact factor: 3.270

8.  Musical instrument engagement in adolescence predicts verbal ability 4 years later: A twin and adoption study.

Authors:  Daniel E Gustavson; Naomi P Friedman; Michael C Stallings; Chandra A Reynolds; Hilary Coon; Robin P Corley; John K Hewitt; Reyna L Gordon
Journal:  Dev Psychol       Date:  2021-11

9.  The frontotemporal organization of the arcuate fasciculus and its relationship with speech perception in young and older amateur singers and non-singers.

Authors:  Maxime Perron; Guillaume Theaud; Maxime Descoteaux; Pascale Tremblay
Journal:  Hum Brain Mapp       Date:  2021-04-09       Impact factor: 5.038

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.