Literature DB >> 17050709

Neural basis of dyslexia: a comparison between dyslexic and nondyslexic children equated for reading ability.

Fumiko Hoeft1, Arvel Hernandez, Glenn McMillon, Heather Taylor-Hill, Jennifer L Martindale, Ann Meyler, Timothy A Keller, Wai Ting Siok, Gayle K Deutsch, Marcel Adam Just, Susan Whitfield-Gabrieli, John D E Gabrieli.   

Abstract

Adults and children with developmental dyslexia exhibit reduced parietotemporal activation in functional neuroimaging studies of phonological processing. These studies used age-matched and/or intelligence quotient-matched control groups whose reading ability and scanner task performance were often superior to that of the dyslexic group. It is unknown, therefore, whether differences in activation reflect simply poorer performance in the scanner, the underlying level of reading ability, or more specific neural correlates of dyslexia. To resolve this uncertainty, we conducted a functional magnetic resonance imaging study, with a rhyme judgment task, in which we compared dyslexic children with two control groups: age-matched children and reading-matched children (younger normal readers equated for reading ability or scanner-performance to the dyslexic children). Dyslexic children exhibited reduced activation relative to both age-matched and reading-matched children in the left parietotemporal cortex and five other regions, including the right parietotemporal cortex. The dyslexic children also exhibited reduced activation bilaterally in the parietotemporal cortex when compared with children equated for task performance during scanning. Nine of the 10 dyslexic children exhibited reduced left parietotemporal activation compared with their individually selected age-matched or reading-matched control children. Additionally, normal reading fifth graders showed more activation in the same bilateral parietotemporal regions than normal-reading third graders. These findings indicate that the activation differences seen in the dyslexic children cannot be accounted for by either current reading level or scanner task performance, but instead represent a distinct developmental atypicality in the neural systems that support learning to read.

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Year:  2006        PMID: 17050709      PMCID: PMC6674758          DOI: 10.1523/JNEUROSCI.4931-05.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  76 in total

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Authors:  Hiroko Tanaka; Jessica M Black; Charles Hulme; Leanne M Stanley; Shelli R Kesler; Susan Whitfield-Gabrieli; Allan L Reiss; John D E Gabrieli; Fumiko Hoeft
Journal:  Psychol Sci       Date:  2011-10-17

3.  Emergence of the neural network for reading in five-year-old beginning readers of different levels of pre-literacy abilities: an fMRI study.

Authors:  Yoshiko Yamada; Courtney Stevens; Mark Dow; Beth A Harn; David J Chard; Helen J Neville
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4.  A developmental fMRI study of reading and repetition reveals changes in phonological and visual mechanisms over age.

Authors:  Jessica A Church; Rebecca S Coalson; Heather M Lugar; Steven E Petersen; Bradley L Schlaggar
Journal:  Cereb Cortex       Date:  2008-01-31       Impact factor: 5.357

5.  The neural correlates of reading fluency deficits in children.

Authors:  Nicolas Langer; Christopher Benjamin; Jennifer Minas; Nadine Gaab
Journal:  Cereb Cortex       Date:  2013-12-11       Impact factor: 5.357

6.  Different patterns and development characteristics of processing written logographic characters and alphabetic words: an ALE meta-analysis.

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7.  Brain bases of morphological processing in young children.

Authors:  Maria M Arredondo; Ka I Ip; Lucy Shih Ju Hsu; Twila Tardif; Ioulia Kovelman
Journal:  Hum Brain Mapp       Date:  2015-04-30       Impact factor: 5.038

8.  Thalamus is a common locus of reading, arithmetic, and IQ: Analysis of local intrinsic functional properties.

Authors:  Maki S Koyama; Peter J Molfese; Michael P Milham; W Einar Mencl; Kenneth R Pugh
Journal:  Brain Lang       Date:  2020-07-29       Impact factor: 2.381

9.  Shared temporoparietal dysfunction in dyslexia and typical readers with discrepantly high IQ.

Authors:  Roeland Hancock; John D E Gabrieli; Fumiko Hoeft
Journal:  Trends Neurosci Educ       Date:  2016-11-03

10.  Altering cortical connectivity: remediation-induced changes in the white matter of poor readers.

Authors:  Timothy A Keller; Marcel Adam Just
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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