Literature DB >> 24179219

Predispositions and plasticity in music and speech learning: neural correlates and implications.

Robert J Zatorre1.   

Abstract

Speech and music are remarkable aspects of human cognition and sensory-motor processing. Cognitive neuroscience has focused on them to understand how brain function and structure are modified by learning. Recent evidence indicates that individual differences in anatomical and functional properties of the neural architecture also affect learning and performance in these domains. Here, neuroimaging findings are reviewed that reiterate evidence of experience-dependent brain plasticity, but also point to the predictive validity of such data in relation to new learning in speech and music domains. Indices of neural sensitivity to certain stimulus features have been shown to predict individual rates of learning; individual network properties of brain activity are especially relevant in this regard, as they may reflect anatomical connectivity. Similarly, numerous studies have shown that anatomical features of auditory cortex and other structures, and their anatomical connectivity, are predictive of new sensory-motor learning ability. Implications of this growing body of literature are discussed.

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Year:  2013        PMID: 24179219     DOI: 10.1126/science.1238414

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  45 in total

1.  Dissociation of Neural Networks for Predisposition and for Training-Related Plasticity in Auditory-Motor Learning.

Authors:  Sibylle C Herholz; Emily B J Coffey; Christo Pantev; Robert J Zatorre
Journal:  Cereb Cortex       Date:  2015-07-01       Impact factor: 5.357

2.  Interindividual differences in gray and white matter properties are associated with early complex motor skill acquisition.

Authors:  Nico Lehmann; J Walter Tolentino-Castro; Elisabeth Kaminski; Patrick Ragert; Arno Villringer; Marco Taubert
Journal:  Hum Brain Mapp       Date:  2019-07-01       Impact factor: 5.038

3.  Functional Logistic Mixed-Effects Models for Learning Curves From Longitudinal Binary Data.

Authors:  Giorgio Paulon; Rachel Reetzke; Bharath Chandrasekaran; Abhra Sarkar
Journal:  J Speech Lang Hear Res       Date:  2019-03-25       Impact factor: 2.297

4.  Functional connectivity between somatosensory and motor brain areas predicts individual differences in motor learning by observing.

Authors:  Heather R McGregor; Paul L Gribble
Journal:  J Neurophysiol       Date:  2017-05-31       Impact factor: 2.714

Review 5.  Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscience.

Authors:  John D E Gabrieli; Satrajit S Ghosh; Susan Whitfield-Gabrieli
Journal:  Neuron       Date:  2015-01-07       Impact factor: 17.173

6.  Size and synchronization of auditory cortex promotes musical, literacy, and attentional skills in children.

Authors:  Annemarie Seither-Preisler; Richard Parncutt; Peter Schneider
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

7.  Chronic disorders of consciousness.

Authors:  Qiuyou Xie; Xiaoxiao Ni; Ronghao Yu; Yuanqing Li; Ruiwang Huang
Journal:  Exp Ther Med       Date:  2017-06-21       Impact factor: 2.447

8.  Musical training sharpens and bonds ears and tongue to hear speech better.

Authors:  Yi Du; Robert J Zatorre
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-04       Impact factor: 11.205

9.  Resting-state low-frequency fluctuations reflect individual differences in spoken language learning.

Authors:  Zhizhou Deng; Bharath Chandrasekaran; Suiping Wang; Patrick C M Wong
Journal:  Cortex       Date:  2015-12-17       Impact factor: 4.027

10.  Musical intervention enhances infants' neural processing of temporal structure in music and speech.

Authors:  T Christina Zhao; Patricia K Kuhl
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-25       Impact factor: 11.205

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