English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Auditory brainstem measures and genotyping boost the prediction of literacy: A longitudinal study on early markers of dyslexia

MPS-Authors
/persons/resource/persons130230

Liebig,  Johanna
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;

/persons/resource/persons85245

Neef,  Nicole
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Clinical Neurophysiology, University Medical Center, Göttingen, Germany;
Department of Diagnostic and Interventional Neuroradiology, University Medical Center, Göttingen, Germany;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Liebig_2020.pdf
(Publisher version), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Liebig, J., Friederici, A. D., Neef, N., & LEGASCREEN Consortium (2020). Auditory brainstem measures and genotyping boost the prediction of literacy: A longitudinal study on early markers of dyslexia. Developmental Cognitive Neuroscience, 46: 100869. doi:10.1016/j.dcn.2020.100869.


Cite as: https://hdl.handle.net/21.11116/0000-0007-2DA3-F
Abstract
Literacy acquisition is impaired in children with developmental dyslexia resulting in lifelong struggle to read and spell. Proper diagnosis is usually late and commonly achieved after structured schooling started, which causes delayed interventions. Legascreen set out to develop a preclinical screening to identify children at risk of developmental dyslexia. To this end we examined 93 preliterate German children, half of them with a family history of dyslexia and half of them without a family history. We assessed standard demographic and behavioral precursors of literacy, acquired saliva samples for genotyping, and recorded speech-evoked brainstem responses to add an objective physiological measure. Reading and spelling was assessed after two years of structured literacy instruction. Multifactorial regression analyses considering demographic information, genotypes, and auditory brainstem encoding, predicted children’s literacy skills to varying degrees. These predictions were improved by adding the standard psychometrics with a slightly higher impact on spelling compared to reading comprehension. Our findings suggest that gene-brain-behavior profiling has the potential to determine the risk of developmental dyslexia. At the same time our results imply the need for a more sophisticated assessment to fully account for the disparate cognitive profiles and the multifactorial basis of developmental dyslexia.