Abstract

Word-selective neural responses in human ventral occipito-temporal cortex (VOTC) emerge as children learn to read, creating a visual word form area (VWFA) in the literate brain. It has been suggested that the VWFA arises through competition between pre-existing selectivity for other stimulus categories, changing the topography of VOTC to support rapid word recognition. Here, we hypothesized that competition between words and objects would be resolved as children acquire reading skill. Using functional magnetic resonance imaging (fMRI), we examined the relationship between responses to words and objects in VOTC in two ways. First, we defined the VWFA using a words > objects contrast and found that only skilled readers had a region that responded more to words than objects. Second, we defined the VWFA using a words > faces contrast and examined selectivity for words over objects in this region. We found that word selectivity strongly correlated with reading skill, suggesting reading skill-dependent tuning for words. Furthermore, we found that low word selectivity in struggling readers was not due to a lack of response to words, but to a high response to objects. Our results suggest that the fine-tuning of word-selective responses in VOTC is a critical component of skilled reading.

Highlights

  • Ventral occipito-temporal cortex (VOTC) consists of distributed and overlapping patches of cortex that selectively respond to different categories of images (Grill-Spector & Weiner, 2014)

  • Skilled readers have a visual word form area (VWFA) that responds selectively to words compared to objects and faces

  • Reading skills measured by the TOWRE Index, Woodcock-Johnson IV (WJ) Basic Reading Skills Composite, as well as TOWRE Sight Word Efficiency were higher for the subjects with a VWFAobj compared to the subjects without a VWFAobj (Figure 2A; TOWRE Index, t(18) = 6.13, p = 0.00001; WJ BRS, t(18) = 5.04, p = 0.0001; TOWRE SWE, t(18) = 7.21, p = 0.000001)

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Summary

Introduction

Ventral occipito-temporal cortex (VOTC) consists of distributed and overlapping patches of cortex that selectively respond to different categories of images (Grill-Spector & Weiner, 2014). While selectivity for each category—such as faces, places, tools, limbs, and words—has been extensively studied (Bracci, Cavina-Pratesi, Ietswaart, Caramazza, & Peelen, 2012; Dehaene & Cohen, 2011; Downing et al, 2001; Epstein & Kanwisher, 1998; Kanwisher, McDermott, & Chun, 1997; Weiner & Grill-Spector, 2010) we still lack an understanding of how selectivity for these categories emerges in VOTC during development and in relation to learning. It has been suggested that word selectivity in VOTC arises through competition between pre-existing selectivity for other categories of images, changing the topography of VOTC to support rapid word recognition (Dehaene et al, 2010; Dehaene, Cohen, Morais, & Kolinsky, 2015; Dehaene & Cohen, 2007)

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