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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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Genre: Zeitschriftenartikel

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externe Referenz:
https://doi.org/10.1093/brain/aww153 (Verlagsversion)
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OA-Status:
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 Urheber:
Skeide, Michael A.1, Autor           
Kraft, Indra1, Autor           
Müller, Bent2, Autor
Schaadt, Gesa1, 3, Autor           
Neef, Nicole1, Autor           
Brauer, Jens1, Autor           
Wilcke, Arndt2, Autor
Kirsten, Holger2, 4, 5, Autor
Boltze, Johannes2, 6, Autor
Friederici, Angela D.1, Autor           
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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Schlagwörter: Dyslexia; Visual word form area; NRSN1; Imaging genetics; Voxel-based morphometry
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2016-04-132015-11-192016-05-082016-06-242016-10
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1093/brain/aww153
PMID: 27343255
Anderer: Epub 2016
 Art des Abschluß: -

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Projektname : -
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Förderprogramm : -
Förderorganisation : Max Planck Society (MPG)
Projektname : -
Grant ID : M.FE.A.NEPF0001
Förderprogramm : -
Förderorganisation : Fraunhofer Society (Fraunhofer)

Quelle 1

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Titel: Brain
  Andere : Brain
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: London : Macmillan
Seiten: - Band / Heft: 139 (10) Artikelnummer: - Start- / Endseite: 2792 - 2803 Identifikator: ISSN: 0006-8950
CoNE: https://pure.mpg.de/cone/journals/resource/954925385135