Literature DB >> 28545016

Statistical learning and auditory processing in children with music training: An ERP study.

Pragati Rao Mandikal Vasuki1, Mridula Sharma2, Ronny Ibrahim2, Joanne Arciuli3.   

Abstract

OBJECTIVE: The question whether musical training is associated with enhanced auditory and cognitive abilities in children is of considerable interest. In the present study, we compared children with music training versus those without music training across a range of auditory and cognitive measures, including the ability to detect implicitly statistical regularities in input (statistical learning).
METHODS: Statistical learning of regularities embedded in auditory and visual stimuli was measured in musically trained and age-matched untrained children between the ages of 9-11years. In addition to collecting behavioural measures, we recorded electrophysiological measures to obtain an online measure of segmentation during the statistical learning tasks.
RESULTS: Musically trained children showed better performance on melody discrimination, rhythm discrimination, frequency discrimination, and auditory statistical learning. Furthermore, grand-averaged ERPs showed that triplet onset (initial stimulus) elicited larger responses in the musically trained children during both auditory and visual statistical learning tasks. In addition, children's music skills were associated with performance on auditory and visual behavioural statistical learning tasks.
CONCLUSION: Our data suggests that individual differences in musical skills are associated with children's ability to detect regularities. SIGNIFICANCE: The ERP data suggest that musical training is associated with better encoding of both auditory and visual stimuli. Although causality must be explored in further research, these results may have implications for developing music-based remediation strategies for children with learning impairments.
Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ERPs; Event-related potentials; Musical skills; Musical training; SL; Statistical learning

Mesh:

Year:  2017        PMID: 28545016     DOI: 10.1016/j.clinph.2017.04.010

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  8 in total

1.  Explicit Instructions Do Not Enhance Auditory Statistical Learning in Children With Developmental Language Disorder: Evidence From Event-Related Potentials.

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Journal:  Front Psychol       Date:  2022-06-30

2.  The Role of Stimulus-Specific Perceptual Fluency in Statistical Learning.

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Journal:  Cogn Sci       Date:  2022-02

3.  Functional connectivity of the cortical network supporting statistical learning in musicians and non-musicians: an MEG study.

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Journal:  Sci Rep       Date:  2017-11-24       Impact factor: 4.379

Review 4.  Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and Uncertainty.

Authors:  Tatsuya Daikoku
Journal:  Brain Sci       Date:  2018-06-19

5.  Learning Words While Listening to Syllables: Electrophysiological Correlates of Statistical Learning in Children and Adults.

Authors:  Ana Paula Soares; Francisco-Javier Gutiérrez-Domínguez; Alexandrina Lages; Helena M Oliveira; Margarida Vasconcelos; Luis Jiménez
Journal:  Front Hum Neurosci       Date:  2022-02-23       Impact factor: 3.169

6.  Effect of Sound Coding Strategies on Music Perception with a Cochlear Implant.

Authors:  Gaëlle Leterme; Caroline Guigou; Geoffrey Guenser; Emmanuel Bigand; Alexis Bozorg Grayeli
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

7.  Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledge.

Authors:  Tatsuya Daikoku
Journal:  PLoS One       Date:  2018-05-09       Impact factor: 3.240

8.  Not All Words Are Equally Acquired: Transitional Probabilities and Instructions Affect the Electrophysiological Correlates of Statistical Learning.

Authors:  Ana Paula Soares; Francisco-Javier Gutiérrez-Domínguez; Margarida Vasconcelos; Helena M Oliveira; David Tomé; Luis Jiménez
Journal:  Front Hum Neurosci       Date:  2020-09-23       Impact factor: 3.169

  8 in total

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