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  NRSN1 associated grey matter volume of the visual word form area reveals dyslexia before school

Skeide, M. A., Kraft, I., Müller, B., Schaadt, G., Neef, N., Brauer, J., et al. (2016). NRSN1 associated grey matter volume of the visual word form area reveals dyslexia before school. Brain, 139(10), 2792-2803. doi:10.1093/brain/aww153.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-5808-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1E95-4
Genre: Journal Article

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 Creators:
Skeide, Michael A.1, Author              
Kraft, Indra1, Author              
Müller, Bent2, Author
Schaadt, Gesa1, 3, Author              
Neef, Nicole1, Author              
Brauer, Jens1, Author              
Wilcke, Arndt2, Author
Kirsten, Holger2, 4, 5, Author
Boltze, Johannes2, 6, Author
Friederici, Angela D.1, Author              
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
2Department of Cognitive Genetics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany, ou_persistent22              
3Department of Psychology, Humboldt University Berlin, Germany, ou_persistent22              
4Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany, ou_persistent22              
5Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany, ou_persistent22              
6Fraunhofer Institute for Marine Biotechnology, Lübeck, Germany, ou_persistent22              

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Free keywords: Dyslexia; Visual word form area; NRSN1; Imaging genetics; Voxel-based morphometry
 Abstract: Literacy learning depends on the flexibility of the human brain to reconfigure itself in response to environmental influences. At the same time, literacy and disorders of literacy acquisition are heritable and thus to some degree genetically predetermined. Here we used a multivariate non-parametric genetic model to relate literacy-associated genetic variants to grey and white matter volumes derived by voxel-based morphometry in a cohort of 141 children. Subsequently, a sample of 34 children attending grades 4 to 8, and another sample of 20 children, longitudinally followed from kindergarten to first grade, were classified as dyslexics and controls using linear binary support vector machines. The NRSN1-associated grey matter volume of the ‘visual word form area’ achieved a classification accuracy of ~ 73% in literacy-experienced students and distinguished between later dyslexic individuals and controls with an accuracy of 75% at kindergarten age. These findings suggest that the cortical plasticity of a region vital for literacy might be genetically modulated, thereby potentially preconstraining literacy outcome. Accordingly, these results could pave the way for identifying and treating the most common learning disorder before it manifests itself in school.

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Language(s): eng - English
 Dates: 2016-04-132015-11-192016-05-082016-06-242016-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1093/brain/aww153
PMID: 27343255
Other: Epub 2016
 Degree: -

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Title: Brain
  Other : Brain
Source Genre: Journal
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Publ. Info: London : Macmillan
Pages: - Volume / Issue: 139 (10) Sequence Number: - Start / End Page: 2792 - 2803 Identifier: ISSN: 0006-8950
CoNE: /journals/resource/954925385135