Literature DB >> 22565204

Linking neurogenetics and individual differences in language learning: the dopamine hypothesis.

Patrick C M Wong1, Kara Morgan-Short, Marc Ettlinger, Jing Zheng.   

Abstract

Fundamental advances in neuroscience have come from investigations into neuroplasticity and learning. These investigations often focus on identifying universal principles across different individuals of the same species. Increasingly, individual differences in learning success have also been observed, such that any seemingly universal principle might only be applicable to a certain extent within a particular learner. One potential source of this variation is individuals' genetic differences. Adult language learning provides a unique opportunity for understanding individual differences and genetic bases of neuroplasticity because of the large individual differences in learning success that have already been documented, and because of the body of empirical work connecting language learning and neurocognition. In this article, we review the literature on the genetic bases of neurocognition, especially studies examining polymorphisms of dopamine (DA)-related genes and procedural learning. This review leads us to hypothesize that there may be an association between DA-related genetic variation and language learning differences. If this hypothesis is supported by future empirical findings we suggest that it may point to neurogenetic markers that allow for language learning to be personalized.
Copyright © 2012 Elsevier Srl. All rights reserved.

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Year:  2012        PMID: 22565204      PMCID: PMC3965203          DOI: 10.1016/j.cortex.2012.03.017

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  129 in total

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

Authors:  Patrick C M Wong; Tyler K Perrachione; Todd B Parrish
Journal:  Hum Brain Mapp       Date:  2007-10       Impact factor: 5.038

2.  Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory.

Authors:  Susheel Vijayraghavan; Min Wang; Shari G Birnbaum; Graham V Williams; Amy F T Arnsten
Journal:  Nat Neurosci       Date:  2007-02-04       Impact factor: 24.884

3.  Individual differences in second-language proficiency: does musical ability matter?

Authors:  L Robert Slevc; Akira Miyake
Journal:  Psychol Sci       Date:  2006-08

4.  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

Review 5.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
Journal:  Science       Date:  1997-03-14       Impact factor: 47.728

6.  Brain signatures of artificial language processing: evidence challenging the critical period hypothesis.

Authors:  Angela D Friederici; Karsten Steinhauer; Erdmut Pfeifer
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-02       Impact factor: 11.205

7.  MRI analysis of an inherited speech and language disorder: structural brain abnormalities.

Authors:  K E Watkins; F Vargha-Khadem; J Ashburner; R E Passingham; A Connelly; K J Friston; R S J Frackowiak; M Mishkin; D G Gadian
Journal:  Brain       Date:  2002-03       Impact factor: 13.501

8.  Gene-gene interaction associated with neural reward sensitivity.

Authors:  Juliana Yacubian; Tobias Sommer; Katrin Schroeder; Jan Gläscher; Raffael Kalisch; Boris Leuenberger; Dieter F Braus; Christian Büchel
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-02       Impact factor: 11.205

9.  Variation in dopamine genes influences responsivity of the human reward system.

Authors:  Jean-Claude Dreher; Philip Kohn; Bhaskar Kolachana; Daniel R Weinberger; Karen Faith Berman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-22       Impact factor: 11.205

10.  CNTNAP2 variants affect early language development in the general population.

Authors:  A J O Whitehouse; D V M Bishop; Q W Ang; C E Pennell; S E Fisher
Journal:  Genes Brain Behav       Date:  2011-03-01       Impact factor: 3.449

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  16 in total

1.  Poor phonetic perceivers are affected by cognitive load when resolving talker variability.

Authors:  Mark Antoniou; Patrick C M Wong
Journal:  J Acoust Soc Am       Date:  2015-08       Impact factor: 1.840

2.  Examining Procedural Learning and Corticostriatal Pathways for Individual Differences in Language: Testing Endophenotypes of DRD2/ANKK1.

Authors:  Joanna C Lee; Kathryn L Mueller; J Bruce Tomblin
Journal:  Lang Cogn Neurosci       Date:  2015-10-07       Impact factor: 2.331

3.  Association between AVPR1A, DRD2, and ASPM and endophenotypes of communication disorders.

Authors:  Catherine M Stein; Barbara Truitt; Fenghua Deng; Allison Avrich Ciesla; Feiyou Qiu; Peronne Joseph; Rekha Raghavendra; Jeremy Fondran; Robert P Igo; Jessica Tag; Lisa Freebairn; H Gerry Taylor; Barbara A Lewis; Sudha K Iyengar
Journal:  Psychiatr Genet       Date:  2014-10       Impact factor: 2.458

Review 4.  Foreign language training as cognitive therapy for age-related cognitive decline: a hypothesis for future research.

Authors:  Mark Antoniou; Geshri M Gunasekera; Patrick C M Wong
Journal:  Neurosci Biobehav Rev       Date:  2013-09-16       Impact factor: 8.989

5.  Procedural Learning and Individual Differences in Language.

Authors:  Joanna C Lee; J Bruce Tomblin
Journal:  Lang Learn Dev       Date:  2015-07-01

6.  The Relationship Between Artificial and Second Language Learning.

Authors:  Marc Ettlinger; Kara Morgan-Short; Mandy Faretta-Stutenberg; Patrick C M Wong
Journal:  Cogn Sci       Date:  2015-07-22

7.  Becoming a balanced, proficient bilingual: Predictions from age of acquisition & genetic background.

Authors:  Kelly A Vaughn; Arturo E Hernandez
Journal:  J Neurolinguistics       Date:  2018-01-05       Impact factor: 1.710

8.  Beyond the bilingual advantage: The potential role of genes and environment on the development of cognitive control.

Authors:  Arturo E Hernandez; Maya R Greene; Kelly A Vaughn; David J Francis; Elena L Grigorenko
Journal:  J Neurolinguistics       Date:  2015-05-16       Impact factor: 1.710

9.  Functional connectivity of substantia nigra and ventral tegmental area: maturation during adolescence and effects of ADHD.

Authors:  Dardo Tomasi; Nora D Volkow
Journal:  Cereb Cortex       Date:  2012-12-12       Impact factor: 5.357

10.  The role of age and executive function in auditory category learning.

Authors:  Rachel Reetzke; W Todd Maddox; Bharath Chandrasekaran
Journal:  J Exp Child Psychol       Date:  2015-10-22
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