Literature DB >> 17133399

Neural characteristics of successful and less successful speech and word learning in adults.

Patrick C M Wong1, Tyler K Perrachione, Todd B Parrish.   

Abstract

A remarkable characteristic of the human nervous system is its ability to learn to integrate novel (foreign) complex sounds into words. However, the neural changes involved in how adults learn to integrate novel sounds into words and the associated individual differences are largely unknown. Unlike English, most languages of the world use pitch patterns to mark individual word meaning. We report a study assessing the neural correlates of learning to use these pitch patterns in words by English-speaking adults who had no previous exposure to such usage. Before and after training, subjects discriminated pitch patterns of the words they learned while blood oxygenation levels were measured using fMRI. Subjects who mastered the learning program showed increased activation in the left posterior superior temporal region after training, while subjects who plateaued at lower levels showed increased activation in the right superior temporal region and right inferior frontal gyrus, which are associated with nonlinguistic pitch processing, and prefrontal and medial frontal areas, which are associated with increased working memory and attentional efforts. Furthermore, we found brain activation differences even before training between the two subject groups, including the superior temporal region. These results demonstrate an association between range of neural changes and degrees of language learning, specifically implicating the physiologic contribution of the left dorsal auditory cortex in learning success. Wiley-Liss, Inc.

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Year:  2007        PMID: 17133399      PMCID: PMC6871292          DOI: 10.1002/hbm.20330

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  33 in total

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2.  "Sparse" temporal sampling in auditory fMRI.

Authors:  D A Hall; M P Haggard; M A Akeroyd; A R Palmer; A Q Summerfield; M R Elliott; E M Gurney; R W Bowtell
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5.  Neural substrates of phonemic perception.

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6.  The role of the insular cortex in pitch pattern perception: the effect of linguistic contexts.

Authors:  Patrick C M Wong; Lawrence M Parsons; Michael Martinez; Randy L Diehl
Journal:  J Neurosci       Date:  2004-10-13       Impact factor: 6.167

7.  Structural and functional asymmetry of lateral Heschl's gyrus reflects pitch perception preference.

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Review 8.  Cortical processing of complex sounds.

Authors:  J P Rauschecker
Journal:  Curr Opin Neurobiol       Date:  1998-08       Impact factor: 6.627

9.  Knowing a word affects the fundamental perception of the sounds within it.

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10.  The assessment and analysis of handedness: the Edinburgh inventory.

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  76 in total

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3.  Linguistic tone is related to the population frequency of the adaptive haplogroups of two brain size genes, ASPM and Microcephalin.

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4.  Selective neurophysiologic responses to music in instrumentalists with different listening biographies.

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5.  Training to improve hearing speech in noise: biological mechanisms.

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6.  Learning a novel phonological contrast depends on interactions between individual differences and training paradigm design.

Authors:  Tyler K Perrachione; Jiyeon Lee; Louisa Y Y Ha; Patrick C M Wong
Journal:  J Acoust Soc Am       Date:  2011-07       Impact factor: 1.840

7.  Tests of a Dual-systems Model of Speech Category Learning.

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

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9.  Altered Functional Connectivity of the Executive Functions Network During a Stroop Task in Children with Reading Difficulties.

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Journal:  Brain Connect       Date:  2018-10

Review 10.  Neurophysiological mechanisms involved in language learning in adults.

Authors:  Antoni Rodríguez-Fornells; Toni Cunillera; Anna Mestres-Missé; Ruth de Diego-Balaguer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-12-27       Impact factor: 6.237

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