Literature DB >> 18245043

A developmental fMRI study of reading and repetition reveals changes in phonological and visual mechanisms over age.

Jessica A Church1, Rebecca S Coalson, Heather M Lugar, Steven E Petersen, Bradley L Schlaggar.   

Abstract

In this study of reading development, children (ages 7-10) and adults (ages 18-32) performed overt single-word reading and aural repetition tasks on high-frequency word stimuli during functional magnetic resonance imaging. Most regions showed similar activity across age groups. These widespread regions of similarity indicate that children and adults use largely overlapping mechanisms when processing high-frequency words. Significant task-related differences included greater activity in occipital cortex for the read task, and greater activity in temporal cortex for the repeat task; activity levels in these regions were similar for adults and children. However, age group differences were found in several posterior regions, including a set of regions implicated in adult reading: the left supramarginal gyrus, the left angular gyrus, and bilateral anterior extrastriate cortex. The angular and supramarginal gyrus regions, hypothesized to play a role in phonology, showed decreased activity in adults relative to children for high-frequency words. The extrastriate regions had significant activity for both the visual read task and auditory repeat task in children, but just for the read task in adults, showing significant task and age interactions. These results are consistent with decreasing reliance on phonological processing, and increasing tuning of visual mechanisms, with age.

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Year:  2008        PMID: 18245043      PMCID: PMC2517103          DOI: 10.1093/cercor/bhm228

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  72 in total

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4.  Meta-analysis of the functional neuroanatomy of single-word reading: method and validation.

Authors:  Peter E Turkeltaub; Guinevere F Eden; Karen M Jones; Thomas A Zeffiro
Journal:  Neuroimage       Date:  2002-07       Impact factor: 6.556

5.  fMRI identifies regional specialization of neural networks for reading in young children.

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Journal:  Neurology       Date:  2003-01-14       Impact factor: 9.910

6.  Development of brain mechanisms for processing orthographic and phonologic representations.

Authors:  James R Booth; Douglas D Burman; Joel R Meyer; Darren R Gitelman; Todd B Parrish; M Marsel Mesulam
Journal:  J Cogn Neurosci       Date:  2004-09       Impact factor: 3.225

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Authors:  C J Price
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10.  Disruption of posterior brain systems for reading in children with developmental dyslexia.

Authors:  Bennett A Shaywitz; Sally E Shaywitz; Kenneth R Pugh; W Einar Mencl; Robert K Fulbright; Pawel Skudlarski; R Todd Constable; Karen E Marchione; Jack M Fletcher; G Reid Lyon; John C Gore
Journal:  Biol Psychiatry       Date:  2002-07-15       Impact factor: 13.382

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  75 in total

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Review 3.  Development of the brain's functional network architecture.

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Authors:  Alecia C Vogel; Steven E Petersen; Bradley L Schlaggar
Journal:  Cereb Cortex       Date:  2012-01-10       Impact factor: 5.357

5.  Removing the effect of response time on brain activity reveals developmental differences in conflict processing in the posterior medial prefrontal cortex.

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6.  Developmental trajectories of cerebrovascular reactivity in healthy children and young adults assessed with magnetic resonance imaging.

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7.  Interregional brain interactions in children with unilateral hearing loss.

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Journal:  Otolaryngol Head Neck Surg       Date:  2011-02-14       Impact factor: 3.497

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
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9.  Neural Correlates of Oral Word Reading, Silent Reading Comprehension, and Cognitive Subcomponents.

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Journal:  Int J Behav Dev       Date:  2018-09-18

10.  Functional neuroanatomy of arithmetic and word reading and its relationship to age.

Authors:  Tanya M Evans; D Lynn Flowers; Megan M Luetje; Eileen Napoliello; Guinevere F Eden
Journal:  Neuroimage       Date:  2016-08-23       Impact factor: 6.556

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