2014
DOI: 10.1016/j.neuroimage.2014.04.080
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Language-general and -specific white matter microstructural bases for reading

Abstract: In the past decade, several studies have investigated language-general and -specific brain regions for reading. However, very limited research has examined the white matter that connects these cortical regions. By using diffusion tensor imaging (DTI), the current study investigated the common and divergent relationship between white matter integrity indexed by fractional anisotropy (FA) and native language reading abilities in 89 Chinese and 93 English speakers. Conjunction analysis revealed that for both grou… Show more

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Cited by 33 publications
(45 citation statements)
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“…We have mentioned one such study, in which vocabulary knowledge informed our understanding of the structural significance of pSMG (Lee et al, 2007). There are others exploring relations between the connectivity of regions in the left-hemisphere reading network and, for example, decoding ability (Welcome & Joanisse, 2014; Zhang et al, 2014; in dyslexic readers, see Pugh et al, 2000; Steinbrink et al, 2008). Taking white matter structure into account could be particularly important since increased white matter myelination decreases the space between the cortex and the skull, potentially contributing to grey matter thinning (Lu et al, 2007; Sowell et al, 2004).…”
Section: Discussionmentioning
confidence: 99%
“…We have mentioned one such study, in which vocabulary knowledge informed our understanding of the structural significance of pSMG (Lee et al, 2007). There are others exploring relations between the connectivity of regions in the left-hemisphere reading network and, for example, decoding ability (Welcome & Joanisse, 2014; Zhang et al, 2014; in dyslexic readers, see Pugh et al, 2000; Steinbrink et al, 2008). Taking white matter structure into account could be particularly important since increased white matter myelination decreases the space between the cortex and the skull, potentially contributing to grey matter thinning (Lu et al, 2007; Sowell et al, 2004).…”
Section: Discussionmentioning
confidence: 99%
“…No model detected a maximum for the uncinate fasciculus, which is reported to develop with reading and language skills (Paldino et al, 2014). These late-developing fiber systems included the superior longitudinal fasciculus, which has been identified in meta-analyses as the tract most consistently reported to be associated with continued development (Peters et al, 2012) and integral to selective functions of verbal fluency, reading (Hoeft et al, 2011; Zhang et al, 2014), vocabulary (Tamnes et al, 2010b), and working memory (Ostby et al, 2011; Vestergaard et al, 2011). Other late-developing tracts were the superior frontal occipital fasciculus (for background, Schmahmann and Pandya, 2007), damage to which has been found in spatial neglect (Shinoura et al, 2009; Shinoura et al, 2010), and the sagittal stratum, which intersects with language areas (Menjot de Champfleur et al, 2013) and, along with other association fasciculi, can sustain microstructural damage with functional ramifications following traumatic brain injury (Farbota et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…We began by replicating previously reported correlations between reading skill and properties of the white matter tracts connecting key components of the reading circuitry [1][2][3][4][5][6][7][8][9]14,15,18,[35][36][37][38][39][40] . To summarize individual differences in reading, we report Reading Skill, a composite score that incorporates our full battery of reading tests from the Woodcock-Johnson 51 and TOWRE 52 standardized assessments (see Methods for details, and Supplementary Figure 1A).…”
Section: Tracts Connecting the Core Reading Circuitry Correlate With mentioning
confidence: 86%
“…Skilled reading requires orchestration of a large cortical network, and individual differences in reading performance have been linked to the properties of white matter tracts connecting portions of this network specialized for processing visual, acoustic, and semantic features [1][2][3][4][5][6][7][8][9] . Although individual differences in white matter are thought to reflect the joint influence of genetics and experience [10][11][12] , white matter properties are often held to underlie variation in performance and to causally influence individual learning trajectories [13][14][15][16] .…”
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confidence: 99%
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