Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE

User menu

  • Log out
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Neuroscience
  • Log out
  • Log in
  • My Cart
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE
PreviousNext
Brief Communications

Enhanced Procedural Learning of Speech Sound Categories in a Genetic Variant of FOXP2

Bharath Chandrasekaran, Han-Gyol Yi, Nathaniel J. Blanco, John E. McGeary and W. Todd Maddox
Journal of Neuroscience 20 May 2015, 35 (20) 7808-7812; DOI: https://doi.org/10.1523/JNEUROSCI.4706-14.2015
Bharath Chandrasekaran
1Department of Communication Sciences and Disorders,
2Department of Psychology,
3Department of Linguistics,
4Institute for Neuroscience,
5Institute for Mental Health Research, and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bharath Chandrasekaran
Han-Gyol Yi
1Department of Communication Sciences and Disorders,
2Department of Psychology,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nathaniel J. Blanco
2Department of Psychology,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nathaniel J. Blanco
John E. McGeary
7Providence Veterans Affairs Medical Center, Providence, Rhode Island 02908,
8Department of Psychiatry and Human Behavior, Brown University, Providence, Rhode Island 02912, and
9Division of Behavioral Genetics, Rhode Island Hospital, Providence, Rhode Island 02903
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
W. Todd Maddox
2Department of Psychology,
4Institute for Neuroscience,
5Institute for Mental Health Research, and
6Center for Perceptual Systems, The University of Texas at Austin, Austin, Texas 78712,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    a, Example fundamental frequency (F0, a correlate of pitch) patterns for the four Mandarin lexical tone categories produced by a speaker in the context of syllable /di/: high-level, low-rising, low-dipping, and high-falling. b, Experimental procedure for the speech category learning task.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    a, Scatterplot of all stimuli from the speech category learning experiment. Two dimensions (F0 height, F0 slope) have been shown to underlie lexical tone perception in previous studies. Scatterplots of the responses, along with the decision boundaries that separate response regions from hypothetical participant, are shown for the striatal pattern classifier (SPC), a reflexive strategy (b); conjunctive (c), unidimensional height (d), and unidimensional slope (e) models (c–e are considered reflective strategies). Black circles denote the high-level tone, blue squares denote the low-rising tone, the cyan lozenges denote the low-dipping tone, and the white triangles denote the high-falling tone.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    a, Individual performance learning curves. The x-axis denotes a block of 40 learning trials. The y-axis denotes average accuracy within each block per participant. The blue line denotes the average performance across all participants. Different shades of gray colors denote individual differences in performance. b, Average performance across genotype groups: AA (white), AG (brown), and GG (red). c, Strategy use per block as revealed by neurocomputational modeling separately for carriers of each genotype (AA, AG, GG). Colors denote response strategies (SPC: reflexive; CJ: conjunctive; UD-Height: unidimensional height; UD-Slope: unidimensional slope; Random: random responder). Across all genotypes, reflexive strategy use increases with progression of learning blocks. The GG genotype uses the reflexive strategy earlier relative to AA genotype.

Tables

  • Figures
    • View popup
    Table 1.

    Demographic information and cognitive scores

    FOXP2nAge (y)Operational spanMusic: proficiencyMusic: years of training
    AA101 (59)25.24 (4.51)41.38 (15.57)4.98 (2.34)8.03 (5.83)
    AG72 (36)25.17 (4.38)45.31 (15.54)5.12 (2.05)9.24 (5.86)
    GG31 (16)24.35 (3.89)43.77 (17.69)5.36 (2.57)7.75 (7.31)
    p(H0)0.5180.6040.3060.7890.518
    • Demographic and cognitive scores across genotypes. Values in parentheses denote SDs, except for those in n column, which denote the number of female participants. p-values correspond to the null hypotheses that these values are equivalent across all three groups. For n, the p-value is derived from a χ2 test on the number of females and males across genotype groups. For all other variables, p-values are derived from three-way ANOVAs.

Back to top

In this issue

The Journal of Neuroscience: 35 (20)
Journal of Neuroscience
Vol. 35, Issue 20
20 May 2015
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Advertising (PDF)
  • Ed Board (PDF)
Email

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Enhanced Procedural Learning of Speech Sound Categories in a Genetic Variant of FOXP2
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Enhanced Procedural Learning of Speech Sound Categories in a Genetic Variant of FOXP2
Bharath Chandrasekaran, Han-Gyol Yi, Nathaniel J. Blanco, John E. McGeary, W. Todd Maddox
Journal of Neuroscience 20 May 2015, 35 (20) 7808-7812; DOI: 10.1523/JNEUROSCI.4706-14.2015

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Enhanced Procedural Learning of Speech Sound Categories in a Genetic Variant of FOXP2
Bharath Chandrasekaran, Han-Gyol Yi, Nathaniel J. Blanco, John E. McGeary, W. Todd Maddox
Journal of Neuroscience 20 May 2015, 35 (20) 7808-7812; DOI: 10.1523/JNEUROSCI.4706-14.2015
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • category learning
  • corticostriatal systems
  • FoxP2
  • genetic variation
  • procedural learning
  • speech

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

  • Heteromodal Cortical Areas Encode Sensory-Motor Features of Word Meaning
  • Pharmacologically Counteracting a Phenotypic Difference in Cerebellar GABAA Receptor Response to Alcohol Prevents Excessive Alcohol Consumption in a High Alcohol-Consuming Rodent Genotype
  • Neuromuscular NMDA Receptors Modulate Developmental Synapse Elimination
Show more Brief Communications
  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
(JNeurosci logo)
(SfN logo)

Copyright © 2022 by the Society for Neuroscience.
JNeurosci Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in JNeurosci.