2022
DOI: 10.1016/j.neubiorev.2022.104650
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Comparative research on neural dysfunction in children with dyslexia under different writing systems: A meta-analysis study

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Cited by 12 publications
(2 citation statements)
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“…For example, a lifespan fMRI study found that the striatum was activated in adults when reading but not in children ( Siok et al, 2020 ). Several meta-analyses of reading task-based fMRI studies failed to identify striatum activation in children ( Houde et al, 2010 ; Li and Bi, 2022 ) and found striatum activation specific to adults ( Richlan et al, 2011 ). However, a study found that fronto-striatal functional connectivity significantly predicted reading performance in children aged 6-9 years ( Alcauter et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…For example, a lifespan fMRI study found that the striatum was activated in adults when reading but not in children ( Siok et al, 2020 ). Several meta-analyses of reading task-based fMRI studies failed to identify striatum activation in children ( Houde et al, 2010 ; Li and Bi, 2022 ) and found striatum activation specific to adults ( Richlan et al, 2011 ). However, a study found that fronto-striatal functional connectivity significantly predicted reading performance in children aged 6-9 years ( Alcauter et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…Developmental dyslexia (hereafter "dyslexia") is a specific learning disorder affecting 5-17% of the population worldwide, primarily manifested in substantial and persistent difficulties in reading and spelling, despite adequate education and adequate intellectual abilities (Lyon, Shaywitz, & Shaywitz, 2003;. In spite of certain variabilities across different writing systems (Li & Bi, 2022;Paulesu et al, 2001), dyslexia is universally characterized by deficient phonological processing (Ramus, 2003;Snowling, 1980), lack of visual specialization for print analysis (McCandliss, Cohen, & Dehaene, 2003;Richlan, Kronbichler, & Wimmer, 2009), and sluggish establishment/retrieval of speechprint associations (Blomert, 2011;Wolf & Bowers, 1999). These difficulties can be accounted for by multiple origins at the genetic, neural, and cognitive levels (Benitez-Burraco, 2010;Hancock, Pugh, & Hoeft, 2017;Shaywitz et al, 2001), such as neural encoding difficulties with incoming information spanning across different timescales during both spoken and written language processing (Archer, Pammer, & Vidyasagar, 2020;Lallier, Molinaro, Lizarazu, Bourguignon, & Carreiras, 2017).…”
Section: A Temporal Sampling Framework For Developmental Dyslexiamentioning
confidence: 99%