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Research ArticleNew Research, Cognition and Behavior

The VWFA Is the Home of Orthographic Learning When Houses Are Used as Letters

Lea Martin, Corrine Durisko, Michelle W. Moore, Marc N. Coutanche, Deborah Chen and Julie A. Fiez
eNeuro 11 February 2019, 6 (1) ENEURO.0425-17.2019; DOI: https://doi.org/10.1523/ENEURO.0425-17.2019
Lea Martin
1Department of Psychology
2Center for the Neural Basis of Cognition
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Corrine Durisko
1Department of Psychology
3Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA 15260
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Michelle W. Moore
4Department of Communication Sciences and Disorders, West Virginia University, Morgantown, WV 26506
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Marc N. Coutanche
1Department of Psychology
2Center for the Neural Basis of Cognition
3Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA 15260
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Deborah Chen
5Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08901
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Julie A. Fiez
1Department of Psychology
2Center for the Neural Basis of Cognition
3Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA 15260
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Figures

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  • Figure 1.
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    Figure 1.

    Participants completed a localizer scan, a pre-training scan, HouseFont training, and a post-training scan. The images alongside each point on the timeline are examples of the stimuli used for the neuroimaging sessions.

  • Figure 2.
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    Figure 2.

    An example of part of a story printed in HouseFont. It reads, “Look, Father. See the ball.”

  • Figure 3.
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    Figure 3.

    Stories increased in difficulty over the 4 d of story-level reading, but participants maintained a similar rate of words read per minute. The performance of HouseFont participants on the early reader training stories was consistent with performances seen for other artificial orthographies, KoreanFont, and FaceFont. KoreanFont and FaceFont data adapted with permission from Moore et al. (2014b).

  • Figure 4.
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    Figure 4.

    The VWFA showed no main effect for session or orthography, but there was a significant interaction of session and orthography. The left and right PPA showed the expected significant main effect of orthography, no main effect of training, and no significicant interaction between session and orthography. Error bars indicate SE.

  • Figure 5.
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    Figure 5.

    VWFA ROI (green) identified by the localizer scan (–34, –55, –13), and the learning effect cluster (blue) identified from the whole-brain voxel-wise analysis of activation for HouseFont versus KoreanFont from pre-training to post-training (–40, –49, –10). Red represents the overlap. Coordinates are in Talairach space.

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    Figure 6.

    Scatter plot of the variance explained by the pre-training to post-training change of the VWFA for reading speed. The VWFA change showed a significant positive relationship with reading speed. Reading speed scores were zero centered.

  • Figure 7.
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    Figure 7.

    Scatter plot of the variance in reading speed explained by the response to trained orthography within the VWFA ROI. The response to the trained orthography showed a significant positive relationship with reading speed. Reading speed scores were zero centered across all three orthographies.

Tables

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    Table 1.

    HouseFont training protocol

    WeekSessionTasks
    BaselineLocalizer fMRI
    Pre-training fMRI
    Week 1Session 1Phoneme training
    Phoneme test
    Session 2Phoneme training review
    Word level training
    Word test (1)
    Session 3–5Word level training
    Word test (2–4)
    Week 2Session 6–9Story level training
    Word test (5–8)
    Session 10Reading test (GORT-4)
    Post-training fMRI
    • View popup
    Table 2.

    Functionally defined ROIs that were applied to the pre-training and post-training data


    Localizer ROI
    Cluster size (voxels)Center of mass coordinates (x,y,z)
    Left parahippocampal gyrus (L PPA)33–28, –43, –7
    Right parahippocampal gyrus (R PPA)3326, –43, –4
    Left fusiform gyrus (VWFA)33–34, –55, –13
    • Coordinates are in Talairach space.

    • View popup
    Table 3.

    Clusters identified by the whole-brain voxel-wise analysis [trained orthography (HouseFont) vs untrained orthography (KoreanFont), pre-training to post-training]


    Cluster location
    Cluster size (voxels)Peak coordinates (x,y,z)
    Left superior parietal lobe (BA7)418–28, –64, 44
    Left precentral/inferior frontal gyrus (BA6/BA8)322–49, 2, 14
    Right posterior cerebellum23317, –64, –22
    Left thalamus/left caudate nucleus197–7, –13, 14
    Right caudate9517, 14, 14
    Left medial frontal gyrus (BA6)95–1, 14, 44
    Left middle frontal gyrus (BA46)81–43, 29, 20
    Left middle temporal gyrus (BA19)*72–49, –61, 17
    Left fusiform gyrus (BA37)68–40, –49, –10
    Left insula (BA13)65–31, 17, 11
    • All clusters were identified with a corrected p = 0.05. Coordinates are in Talairach space.

    • BA, Brodmann area; * indicates the cluster that displayed more activation during pre-training.

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The VWFA Is the Home of Orthographic Learning When Houses Are Used as Letters
Lea Martin, Corrine Durisko, Michelle W. Moore, Marc N. Coutanche, Deborah Chen, Julie A. Fiez
eNeuro 11 February 2019, 6 (1) ENEURO.0425-17.2019; DOI: 10.1523/ENEURO.0425-17.2019

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The VWFA Is the Home of Orthographic Learning When Houses Are Used as Letters
Lea Martin, Corrine Durisko, Michelle W. Moore, Marc N. Coutanche, Deborah Chen, Julie A. Fiez
eNeuro 11 February 2019, 6 (1) ENEURO.0425-17.2019; DOI: 10.1523/ENEURO.0425-17.2019
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Keywords

  • fMRI
  • language learning
  • left fusiform gyrus
  • linguistic bridge account
  • reading development

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