Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

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

MPG-Autoren
/persons/resource/persons20002

Skeide,  Michael A.
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons73219

Kraft,  Indra
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons86916

Schaadt,  Gesa
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Psychology, Humboldt University Berlin, Germany;

/persons/resource/persons85245

Neef,  Nicole
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19570

Brauer,  Jens
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19643

Friederici,  Angela D.
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Externe Ressourcen
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

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.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-002A-5808-6
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.