publication . Other literature type . Article . 2006

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

Karin Kucian; Thomas Loenneker; Thomas Dietrich; Mengia Dosch; Ernst Martin; Michael von Aster;
  • Published: 01 Sep 2006
  • Publisher: Springer Science and Business Media LLC
Abstract
<p>Abstract</p> <p>Background</p> <p>Developmental 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.</p> <p>Methods</p> <p>Eighteen 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 calculation, as well as magnitude comparison.</p> <p>Results</p> <p>Children with DD showed greater inter-individual variability ...
Subjects
free text keywords: Research, Neurology. Diseases of the nervous system, RC346-429, Cognitive Neuroscience, Biological Psychiatry, Behavioral Neuroscience, General Medicine, Developmental psychology, Inferior frontal gyrus, Artificial neural network, Mathematical skill, Attention deficit hyperactivity disorder, medicine.disease, medicine, Neuroscience, Neurology, medicine.medical_specialty, Dyslexia, Psychology, Specific learning disability, Cognitive psychology, Developmental Dyscalculia
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