Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study

@article{Kucian2006ImpairedNN,
  title={Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study},
  author={Karin Kucian and Thomas Loenneker and Thomas Dietrich and Mengia Dosch and Ernst Martin and Michael G von Aster},
  journal={Behavioral and Brain Functions},
  year={2006},
  volume={2},
  pages={31 - 31}
}
BackgroundDevelopmental dyscalculia (DD) is a specific learning disability affecting the acquisition of mathematical skills in children with otherwise normal general intelligence. The goal of the present study was to examine cerebral mechanisms underlying DD.MethodsEighteen children with DD aged 11.2 ± 1.3 years and twenty age-matched typically achieving schoolchildren were investigated using functional magnetic resonance imaging (fMRI) during trials testing approximate and exact mathematical… CONTINUE READING
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