Literature DB >> 12953299

The development of reading impairment: a cognitive neuroscience model.

Bruce D McCandliss1, Kimberly G Noble.   

Abstract

This review discusses recent cognitive neuroscience investigations into the biological bases of developmental dyslexia, a common disorder impacting approximately 5 to 17 percent of the population. Our aim is to summarize central findings from several lines of evidence that converge on pivotal aspects of the brain bases of developmental dyslexia. We highlight ways in which the approaches and methodologies of developmental cognitive neuroscience that are addressed in this special issue-including neuroimaging, human genetics, refinement of cognitive and biological phenotypes, neural plasticity and computational model-can be employed in uncovering the biological bases of this disorder. Taking a developmental perspective on the biological bases of dyslexia, we propose a simple cascading model for the developmental progression of this disorder, in which individual differences in brain areas associated with phonological processing might influence the specialization of visual areas involved in the rapid processing of written words. We also discuss recent efforts to understand the impact of successful reading interventions in terms of changes within cortical circuits associated with reading ability. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2003        PMID: 12953299     DOI: 10.1002/mrdd.10080

Source DB:  PubMed          Journal:  Ment Retard Dev Disabil Res Rev        ISSN: 1080-4013


  76 in total

1.  Functional characteristics of developmental dyslexia in left-hemispheric posterior brain regions predate reading onset.

Authors:  Nora Maria Raschle; Jennifer Zuk; Nadine Gaab
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

Review 2.  Structural abnormalities in the dyslexic brain: a meta-analysis of voxel-based morphometry studies.

Authors:  Fabio Richlan; Martin Kronbichler; Heinz Wimmer
Journal:  Hum Brain Mapp       Date:  2012-06-19       Impact factor: 5.038

3.  Academic achievement varies with gestational age among children born at term.

Authors:  Kimberly G Noble; William P Fifer; Virginia A Rauh; Yoko Nomura; Howard F Andrews
Journal:  Pediatrics       Date:  2012-07-02       Impact factor: 7.124

Review 4.  Neural plasticity of development and learning.

Authors:  Adriana Galván
Journal:  Hum Brain Mapp       Date:  2010-06       Impact factor: 5.038

Review 5.  Special considerations for functional magnetic resonance imaging of pediatric populations.

Authors:  Eleni Kotsoni; Dana Byrd; B J Casey
Journal:  J Magn Reson Imaging       Date:  2006-06       Impact factor: 4.813

Review 6.  A critical review of the physicalistic approaches of the mind and consciousness.

Authors:  Miltos Livaditis; Evgenia Tsatalmpasidou
Journal:  Cogn Process       Date:  2007-03

7.  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

8.  Microstructural properties of white matter pathways in relation to subsequent reading abilities in children: a longitudinal analysis.

Authors:  Lauren R Borchers; Lisa Bruckert; Cory K Dodson; Katherine E Travis; Virginia A Marchman; Michal Ben-Shachar; Heidi M Feldman
Journal:  Brain Struct Funct       Date:  2018-12-11       Impact factor: 3.270

9.  Socioeconomic background modulates cognition-achievement relationships in reading.

Authors:  Kimberly G Noble; Martha J Farah; Bruce D McCandliss
Journal:  Cogn Dev       Date:  2006

10.  Individual differences in crossmodal brain activity predict arcuate fasciculus connectivity in developing readers.

Authors:  Margaret M Gullick; James R Booth
Journal:  J Cogn Neurosci       Date:  2014-01-23       Impact factor: 3.225

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.