Literature DB >> 20154011

Surface area accounts for the relation of gray matter volume to reading-related skills and history of dyslexia.

Richard E Frye1, Jacqueline Liederman, Benjamin Malmberg, John McLean, David Strickland, Michael S Beauchamp.   

Abstract

It is unknown whether the abnormalities in brain structure and function observed in dyslexic readers are congenital or arise later in development. Analyzing the 2 components of gray matter volume separately may help in differentiating these possibilities. Gray matter volume is the product of cortical surface area, determined during prenatal brain development, and cortical thickness, determined during postnatal development. For this study, 16 adults with a history of phonological dyslexia and 16 age- and gender-matched controls underwent magnetic resonance imaging and an extensive battery of tests of reading-related skills. Cortical surface area and gray matter volume measures of the whole brain, the inferior frontal gyrus, and the fusiform gyrus were similarly related to phonological skills and a history of dyslexia. There was no relationship between cortical thickness and phonological skills or history of dyslexia. Because cortical surface area reflects cortical folding patterns determined prenatally, this suggests that brain differences in dyslexia are rooted in early cortical development and are not due to compensatory changes that occur during postnatal development and would be expected to influence cortical thickness. This study demonstrates the importance of examining the separate components of gray matter volume when studying developmental abnormalities.

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Year:  2010        PMID: 20154011      PMCID: PMC2981021          DOI: 10.1093/cercor/bhq010

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


  93 in total

1.  The characteristics of young and adult dyslexics readers on reading and reading related cognitive tasks as compared to normal readers.

Authors:  Shelley Miller-Shaul
Journal:  Dyslexia       Date:  2005-05

2.  Auditory processing, speech perception and phonological ability in pre-school children at high-risk for dyslexia: a longitudinal study of the auditory temporal processing theory.

Authors:  Bart Boets; Jan Wouters; Astrid van Wieringen; Pol Ghesquière
Journal:  Neuropsychologia       Date:  2007-01-16       Impact factor: 3.139

3.  Age-related changes in reading systems of dyslexic children.

Authors:  Bennett A Shaywitz; Pawel Skudlarski; John M Holahan; Karen E Marchione; R Todd Constable; Robert K Fulbright; Daniel Zelterman; Cheryl Lacadie; Sally E Shaywitz
Journal:  Ann Neurol       Date:  2007-04       Impact factor: 10.422

4.  Variations in cortical thickness with dementia severity in Alzheimer's disease.

Authors:  Kiho Im; Jong-Min Lee; Sang Won Seo; Uicheul Yoon; Sung Tae Kim; Yun-Hee Kim; Sun I Kim; Duk L Na
Journal:  Neurosci Lett       Date:  2008-03-16       Impact factor: 3.046

5.  Brain abnormalities underlying altered activation in dyslexia: a voxel based morphometry study.

Authors:  G Silani; U Frith; J-F Demonet; F Fazio; D Perani; C Price; C D Frith; E Paulesu
Journal:  Brain       Date:  2005-06-23       Impact factor: 13.501

6.  Lobar asymmetries in subtypes of dyslexic and control subjects.

Authors:  Janet N Zadina; David M Corey; Renee M Casbergue; Lisa C Lemen; Jeffrey C Rouse; Tracey A Knaus; Anne L Foundas
Journal:  J Child Neurol       Date:  2006-11       Impact factor: 1.987

7.  Increased white matter gyral depth in dyslexia: implications for corticocortical connectivity.

Authors:  Manuel F Casanova; Ayman S El-Baz; Jay Giedd; Judith M Rumsey; Andrew E Switala
Journal:  J Autism Dev Disord       Date:  2009-07-16

8.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

9.  Brain morphology in normal and dyslexic children: the influence of sex and age.

Authors:  R T Schultz; N K Cho; L H Staib; L E Kier; J M Fletcher; S E Shaywitz; D P Shankweiler; L Katz; J C Gore; J S Duncan
Journal:  Ann Neurol       Date:  1994-06       Impact factor: 10.422

10.  Left lateralized white matter microstructure accounts for individual differences in reading ability and disability.

Authors:  Sumit N Niogi; Bruce D McCandliss
Journal:  Neuropsychologia       Date:  2006-03-09       Impact factor: 3.139

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  34 in total

Review 1.  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

2.  Diffusion tensor quantification of the relations between microstructural and macrostructural indices of white matter and reading.

Authors:  Richard E Frye; Jacqueline Liederman; Khader M Hasan; Alexis Lincoln; Benjamin Malmberg; John McLean; Andrew Papanicolaou
Journal:  Hum Brain Mapp       Date:  2010-07-27       Impact factor: 5.038

3.  Individual differences in decoding skill, print exposure, and cortical structure in young adults.

Authors:  Clinton L Johns; Andrew A Jahn; Hannah R Jones; Dave Kush; Peter J Molfese; Julie A Van Dyke; James S Magnuson; Whitney Tabor; W Einar Mencl; Donald P Shankweiler; David Braze
Journal:  Lang Cogn Neurosci       Date:  2018-05-22       Impact factor: 2.331

4.  A surface-based analysis of language lateralization and cortical asymmetry.

Authors:  Douglas N Greve; Lise Van der Haegen; Qing Cai; Steven Stufflebeam; Mert R Sabuncu; Bruce Fischl; Marc Brysbaert
Journal:  J Cogn Neurosci       Date:  2013-04-22       Impact factor: 3.225

5.  Parental age effects on cortical morphology in offspring.

Authors:  P Shaw; M Gilliam; M Malek; N Rodriguez; D Greenstein; L Clasen; A Evans; J Rapoport; J Giedd
Journal:  Cereb Cortex       Date:  2011-08-04       Impact factor: 5.357

6.  How reliable are gray matter disruptions in specific reading disability across multiple countries and languages? Insights from a large-scale voxel-based morphometry study.

Authors:  Katarzyna Jednoróg; Artur Marchewka; Irene Altarelli; Ana Karla Monzalvo Lopez; Muna van Ermingen-Marbach; Marion Grande; Anna Grabowska; Stefan Heim; Franck Ramus
Journal:  Hum Brain Mapp       Date:  2015-01-17       Impact factor: 5.038

7.  Cortical thickness and folding deficits in conduct-disordered adolescents.

Authors:  Christopher J Hyatt; Emily Haney-Caron; Michael C Stevens
Journal:  Biol Psychiatry       Date:  2011-12-29       Impact factor: 13.382

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

Authors:  Zhichao Xia; Linjun Zhang; Fumiko Hoeft; Bin Gu; Gaolang Gong; Hua Shu
Journal:  Int J Behav Dev       Date:  2018-09-18

9.  A common left occipito-temporal dysfunction in developmental dyslexia and acquired letter-by-letter reading?

Authors:  Fabio Richlan; Denise Sturm; Matthias Schurz; Martin Kronbichler; Gunther Ladurner; Heinz Wimmer
Journal:  PLoS One       Date:  2010-08-11       Impact factor: 3.240

10.  Topological properties of large-scale structural brain networks in children with familial risk for reading difficulties.

Authors:  S M Hadi Hosseini; Jessica M Black; Teresa Soriano; Nicolle Bugescu; Rociel Martinez; Mira M Raman; Shelli R Kesler; Fumiko Hoeft
Journal:  Neuroimage       Date:  2013-01-17       Impact factor: 6.556

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