Literature DB >> 18568899

Development of neural networks for exact and approximate calculation: a FMRI study.

Karin Kucian1, Michael von Aster, Thomas Loenneker, Thomas Dietrich, Ernst Martin.   

Abstract

Neuroimaging findings in adults suggest exact and approximate number processing relying on distinct neural circuits. In the present study we are investigating whether this cortical specialization is already established in 9- and 12-year-old children. Using fMRI, brain activation was measured in 10 third- and 10 sixth-grade school children and 20 adults during trials of symbolic approximate (AP) and exact (EX) calculation, as well as non-symbolic magnitude comparison (MC) of objects. Children activated similar networks like adults, denoting an availability and a similar spatial extent of specified networks as early as third grade. However, brain areas related to number processing become further specialized with schooling. Children showed weaker activation in the intraparietal sulcus during all three tasks, in the left inferior frontal gyrus during EX and in occipital areas during MC. In contrast, activation in the anterior cingulate gyrus, a region associated with attentional effort and working memory load, was enhanced in children. Moreover, children revealed reduced or absent deactivation of regions involved in the so-called default network during symbolic calculation, suggesting a rather general developmental effect. No difference in brain activation patterns between AP and EX was found. Behavioral results indicated major differences between children and adults in AP and EX, but not in MC. Reaction time and accuracy rate were not correlated to brain activation in regions showing developmental changes suggesting rather effects of development than performance differences between children and adults. In conclusion, increasing expertise with age may lead to more automated processing of mental arithmetic, which is reflected by improved performance and by increased brain activation in regions related to number processing and decreased activation in supporting areas.

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Year:  2008        PMID: 18568899     DOI: 10.1080/87565640802101474

Source DB:  PubMed          Journal:  Dev Neuropsychol        ISSN: 1532-6942            Impact factor:   2.253


  46 in total

1.  [fMRI and DTI in delayed development of number processing].

Authors:  C M Krick; A Neuhaus; C Klewin; T Wörner; S Kreis; W Reith
Journal:  Radiologe       Date:  2015-09       Impact factor: 0.635

2.  Arithmetic tasks in different formats and their influence on behavior and brain oxygenation as assessed with near-infrared spectroscopy (NIRS): a study involving primary and secondary school children.

Authors:  Thomas Dresler; Andreas Obersteiner; Martin Schecklmann; A Carina M Vogel; Ann-Christine Ehlis; Melany M Richter; Michael M Plichta; Kristina Reiss; Reinhard Pekrun; Andreas J Fallgatter
Journal:  J Neural Transm (Vienna)       Date:  2009-09-12       Impact factor: 3.575

3.  How does a child solve 7 + 8? Decoding brain activity patterns associated with counting and retrieval strategies.

Authors:  Soohyun Cho; Srikanth Ryali; David C Geary; Vinod Menon
Journal:  Dev Sci       Date:  2011-04-25

4.  How do individual differences in children's domain specific and domain general abilities relate to brain activity within the intraparietal sulcus during arithmetic? An fMRI study.

Authors:  Anna A Matejko; Daniel Ansari
Journal:  Hum Brain Mapp       Date:  2017-05-10       Impact factor: 5.038

5.  Time-Resolved and Spatio-Temporal Analysis of Complex Cognitive Processes and their Role in Disorders like Developmental Dyscalculia.

Authors:  István Akos Mórocz; Firdaus Janoos; Peter van Gelderen; David Manor; Avi Karni; Zvia Breznitz; Michael von Aster; Tammar Kushnir; Ruth Shalev
Journal:  Int J Imaging Syst Technol       Date:  2012-03-01       Impact factor: 2.000

6.  Hippocampal-prefrontal engagement and dynamic causal interactions in the maturation of children's fact retrieval.

Authors:  Soohyun Cho; Arron W S Metcalfe; Christina B Young; Srikanth Ryali; David C Geary; Vinod Menon
Journal:  J Cogn Neurosci       Date:  2012-05-23       Impact factor: 3.225

7.  Fractionating the neural correlates of individual working memory components underlying arithmetic problem solving skills in children.

Authors:  Arron W S Metcalfe; Sarit Ashkenazi; Miriam Rosenberg-Lee; Vinod Menon
Journal:  Dev Cogn Neurosci       Date:  2013-10-14       Impact factor: 6.464

8.  The diagnosis and management of dyscalculia.

Authors:  Liane Kaufmann; Michael von Aster
Journal:  Dtsch Arztebl Int       Date:  2012-11-09       Impact factor: 5.594

9.  Functional neuroanatomy of arithmetic and word reading and its relationship to age.

Authors:  Tanya M Evans; D Lynn Flowers; Megan M Luetje; Eileen Napoliello; Guinevere F Eden
Journal:  Neuroimage       Date:  2016-08-23       Impact factor: 6.556

10.  Frontoparietal white matter diffusion properties predict mental arithmetic skills in children.

Authors:  Jessica M Tsang; Robert F Dougherty; Gayle K Deutsch; Brian A Wandell; Michal Ben-Shachar
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-30       Impact factor: 11.205

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