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

BACKGROUND: 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. METHODS: Eighteen children with DD age...

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Autores principales: Kucian, Karin, Loenneker, Thomas, Dietrich, Thomas, Dosch, Mengia, Martin, Ernst, von Aster, Michael
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1574332/
https://www.ncbi.nlm.nih.gov/pubmed/16953876
http://dx.doi.org/10.1186/1744-9081-2-31
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author Kucian, Karin
Loenneker, Thomas
Dietrich, Thomas
Dosch, Mengia
Martin, Ernst
von Aster, Michael
author_facet Kucian, Karin
Loenneker, Thomas
Dietrich, Thomas
Dosch, Mengia
Martin, Ernst
von Aster, Michael
author_sort Kucian, Karin
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: Children with DD showed greater inter-individual variability and had weaker activation in almost the entire neuronal network for approximate calculation including the intraparietal sulcus, and the middle and inferior frontal gyrus of both hemispheres. In particular, the left intraparietal sulcus, the left inferior frontal gyrus and the right middle frontal gyrus seem to play crucial roles in correct approximate calculation, since brain activation correlated with accuracy rate in these regions. In contrast, no differences between groups could be found for exact calculation and magnitude comparison. In general, fMRI revealed similar parietal and prefrontal activation patterns in DD children compared to controls for all conditions. CONCLUSION: In conclusion, there is evidence for a deficient recruitment of neural resources in children with DD when processing analog magnitudes of numbers.
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spelling pubmed-15743322006-09-23 Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study Kucian, Karin Loenneker, Thomas Dietrich, Thomas Dosch, Mengia Martin, Ernst von Aster, Michael Behav Brain Funct Research BACKGROUND: 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. METHODS: 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. RESULTS: Children with DD showed greater inter-individual variability and had weaker activation in almost the entire neuronal network for approximate calculation including the intraparietal sulcus, and the middle and inferior frontal gyrus of both hemispheres. In particular, the left intraparietal sulcus, the left inferior frontal gyrus and the right middle frontal gyrus seem to play crucial roles in correct approximate calculation, since brain activation correlated with accuracy rate in these regions. In contrast, no differences between groups could be found for exact calculation and magnitude comparison. In general, fMRI revealed similar parietal and prefrontal activation patterns in DD children compared to controls for all conditions. CONCLUSION: In conclusion, there is evidence for a deficient recruitment of neural resources in children with DD when processing analog magnitudes of numbers. BioMed Central 2006-09-05 /pmc/articles/PMC1574332/ /pubmed/16953876 http://dx.doi.org/10.1186/1744-9081-2-31 Text en Copyright © 2006 Kucian et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kucian, Karin
Loenneker, Thomas
Dietrich, Thomas
Dosch, Mengia
Martin, Ernst
von Aster, Michael
Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study
title Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study
title_full Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study
title_fullStr Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study
title_full_unstemmed Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study
title_short Impaired neural networks for approximate calculation in dyscalculic children: a functional MRI study
title_sort impaired neural networks for approximate calculation in dyscalculic children: a functional mri study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1574332/
https://www.ncbi.nlm.nih.gov/pubmed/16953876
http://dx.doi.org/10.1186/1744-9081-2-31
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