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BioMed Research International
Volume 2013 (2013), Article ID 694075, 12 pages
http://dx.doi.org/10.1155/2013/694075
Clinical Study

Abacus Training Modulates the Neural Correlates of Exact and Approximate Calculations in Chinese Children: An fMRI Study

1Bio-X Laboratory, Department of Physics, Zhejiang University, 38 Zheda Road, Hangzhou 310027, China
2Department of Nuclear Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine, 38 Zheda Road, Hangzhou 310009, China
3Zhejiang University Medical PET Center, Zhejiang University, 38 Zheda Road, Hangzhou 310009, China
4Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, 38 Zheda Road, Hangzhou 310009, China
5Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou 310009, China

Received 26 July 2013; Accepted 12 September 2013

Academic Editor: Ignasi Carrio

Copyright © 2013 Fenglei Du et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Dehaene, E. Spelke, P. Pinel, R. Stanescu, and S. Tsivkin, “Sources of mathematical thinking: behavioral and brain-imaging evidence,” Science, vol. 284, no. 5416, pp. 970–974, 1999. View at Publisher · View at Google Scholar · View at Scopus
  2. P. Pica, C. Lemer, V. Izard, and S. Dehaene, “Exact and approximate arithmetic in an Amazonian indigene group,” Science, vol. 306, no. 5695, pp. 499–503, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Kucian, M. von Aster, T. Loenneker, T. Dietrich, and E. Martin, “Development of neural networks for exact and approximate calculation: a fMRI study,” Developmental Neuropsychology, vol. 33, no. 4, pp. 447–473, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. S. Dehaene, M. Piazza, P. Pinel, and L. Cohen, “Three parietal circuits for number processing,” Cognitive Neuropsychology, vol. 20, no. 3–6, pp. 487–506, 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. L. Zago, M. Pesenti, E. Mellet, F. Crivello, B. Mazoyer, and N. Tzourio-Mazoyer, “Neural correlates of simple and complex mental calculation,” NeuroImage, vol. 13, no. 2, pp. 314–327, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. V. Menon, S. M. Rivera, C. D. White, G. H. Glover, and A. L. Reiss, “Dissociating prefrontal and parietal cortex activation during arithmetic processing,” NeuroImage, vol. 12, no. 4, pp. 357–365, 2000. View at Publisher · View at Google Scholar · View at Scopus
  7. R. H. Grabner, D. Ansari, G. Reishofer, E. Stern, F. Ebner, and C. Neuper, “Individual differences in mathematical competence predict parietal brain activation during mental calculation,” NeuroImage, vol. 38, no. 2, pp. 346–356, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Arsalidou and M. J. Taylor, “Is 2+2=4? Meta-analyses of brain areas needed for numbers and calculations,” NeuroImage, vol. 54, no. 3, pp. 2382–2393, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. R. Stanescu-Cosson, P. Pinel, P.-F. van de Moortele, D. Le Bihan, L. Cohen, and S. Dehaene, “Understanding dissociations in dyscalculia: a brain imaging study of the impact of number size on the cerebral networks for exact and approximate calculation,” Brain, vol. 123, no. 11, pp. 2240–2255, 2000. View at Scopus
  10. B. Kolb and I. Q. Whishaw, “Brain plasticity and behavior,” Annual Review of Psychology, vol. 49, pp. 43–64, 1998. View at Scopus
  11. D. V. Buonomano and M. M. Merzenich, “Cortical plasticity: from synapses to maps,” Annual Review of Neuroscience, vol. 21, pp. 149–186, 1998. View at Publisher · View at Google Scholar · View at Scopus
  12. J. N. Sanes and J. P. Donoghue, “Plasticity and primary motor cortex,” Annual Review of Neuroscience, vol. 23, pp. 393–415, 2000. View at Publisher · View at Google Scholar · View at Scopus
  13. P. J. Olesen, H. Westerberg, and T. Klingberg, “Increased prefrontal and parietal activity after training of working memory,” Nature Neuroscience, vol. 7, no. 1, pp. 75–79, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Holtmaat and K. Svoboda, “Experience-dependent structural synaptic plasticity in the mammalian brain,” Nature Reviews Neuroscience, vol. 10, no. 9, pp. 647–658, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. F. Y. Chen, Z. H. Hu, X. H. Zhao et al., “Neural correlates of serial abacus mental calculation in children: a functional MRI study,” Neuroscience Letters, vol. 403, no. 1-2, pp. 46–51, 2006. View at Publisher · View at Google Scholar · View at Scopus
  16. T.-H. Wu, C.-L. Chen, Y.-H. Huang, R.-S. Liu, J.-C. Hsieh, and J. J. S. Lee, “Effects of long-term practice and task complexity on brain activities when performing abacus-based mental calculations: a PET study,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 36, no. 3, pp. 436–445, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. Hu, F. Geng, L. Tao et al., “Enhanced white matter tracts integrity in children with abacus training,” Human Brain Mapping, vol. 32, no. 1, pp. 10–21, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. Y. Li, Y. Wang, Y. Hu, Y. Liang, and F. Chen, “Structural changes in left fusiform areas and associated fiber connections in children with abacus training: evidence from morphometry and tractography,” Frontiers in Human Neuroscience, vol. 7, article 335, 2013.
  19. Y. Q. Wang, F. J. Geng, Y. Z. Hu, F. L. Du, and F. Y. Chen, “Numerical processing efficiency improved in experienced mental abacus children,” Cognition, vol. 127, pp. 149–158, 2013.
  20. J. W. Stigler, “‘Mental abacus’: the effect of abacus training on Chinese children's mental calculation,” Cognitive Psychology, vol. 16, no. 2, pp. 145–176, 1984. View at Scopus
  21. G. Hatano, Y. Miyake, and M. G. Binks, “Performance of expert abacus operators,” Cognition, vol. 5, no. 1, pp. 47–55, 1977. View at Scopus
  22. S. Hishitani, “Imagery experts: how do expert abacus operators process imagery?” Applied Cognitive Psychology, vol. 4, no. 1, pp. 33–46, 1990.
  23. T. Hanakawa, M. Honda, T. Okada, H. Fukuyama, and H. Shibasaki, “Neural correlates underlying mental calculation in abacus experts: a functional magnetic resonance imaging study,” NeuroImage, vol. 19, no. 2, pp. 296–307, 2003. View at Publisher · View at Google Scholar · View at Scopus
  24. M. C. Frank and D. Barner, “Representing exact number visually using mental abacus,” Journal of Experimental Psychology, vol. 141, no. 1, pp. 134–149, 2012.
  25. C. L. Chen, T. H. Wu, M. C. Cheng et al., “Prospective demonstration of brain plasticity after intensive abacus-based mental calculation training: an fMRI study,” Nuclear Instruments and Methods in Physics Research A, vol. 569, no. 2, pp. 567–571, 2006. View at Publisher · View at Google Scholar · View at Scopus
  26. S. Tanaka, K. Seki, T. Hanakawa et al., “Abacus in the brain: a longitudinal functional MRI study of a skilled abacus user with a right hemispheric lesion,” Frontiers in Psychology, vol. 3, article 315, 2012.
  27. Y. Ku, B. Hong, W. Zhou, M. Bodner, and Y.-D. Zhou, “Sequential neural processes in abacus mental addition: an EEG and fMRI case study,” PLoS ONE, vol. 7, no. 5, Article ID e36410, 2012. View at Publisher · View at Google Scholar · View at Scopus
  28. Y. Gong and T. Cai, Manual of Chinese Revised Wechsler Intelligence Scale for Children, Hunan Atlas Publishing House, Changsha, China, 1993.
  29. W. Schneider, A. Eschman, and A. Zuccolotto, E-Prime Reference Guide: Psychology Software Tools, 2002.
  30. J. Talairach and P. Tournoux, Co-Planar Stereotaxic Atlas of the Human Brain, 1988.
  31. K. J. Friston, A. P. Holmes, K. J. Worsley, J.-P. Poline, C. D. Frith, and R. S. J. Frackowiak, “Statistical parametric maps in functional imaging: a general linear approach,” Human Brain Mapping, vol. 2, no. 4, pp. 189–210, 1994. View at Scopus
  32. T. Hatta and M. Miyazaki, “Visual imagery processing in Japanese abacus experts,” Imagination, Cognition and Personality, vol. 9, no. 2, pp. 91–102, 1990.
  33. S. M. Rivera, A. L. Reiss, M. A. Eckert, and V. Menon, “Developmental changes in mental arithmetic: evidence for increased functional specialization in the left inferior parietal cortex,” Cerebral Cortex, vol. 15, no. 11, pp. 1779–1790, 2005. View at Publisher · View at Google Scholar · View at Scopus
  34. H. Zhang, C. Chen, and X. Zhou, “Neural correlates of numbers and mathematical terms,” NeuroImage, vol. 60, no. 1, pp. 230–240, 2012. View at Publisher · View at Google Scholar · View at Scopus
  35. M. X. Cohen, A. S. Heller, and C. Ranganath, “Functional connectivity with anterior cingulate and orbitofrontal cortices during decision-making,” Cognitive Brain Research, vol. 23, no. 1, pp. 61–70, 2005. View at Publisher · View at Google Scholar · View at Scopus
  36. T. Hanakawa, M. Honda, T. Okada, H. Fukuyama, and H. Shibasaki, “Differential activity in the premotor cortex subdivisions in humans during mental calculation and verbal rehearsal tasks: a functional magnetic resonance imaging study,” Neuroscience Letters, vol. 347, no. 3, pp. 199–201, 2003. View at Publisher · View at Google Scholar · View at Scopus
  37. F. Lucchelli and E. De Renzi, “Primary dyscalculia after a medial frontal lesion of the left hemisphere,” Journal of Neurology Neurosurgery and Psychiatry, vol. 56, no. 3, pp. 304–307, 1993. View at Scopus
  38. T. Hanakawa, A. Ikeda, N. Sadato et al., “Functional mapping of human medial frontal motor areas: the combined use of functional magnetic resonance imaging and cortical stimulation,” Experimental Brain Research, vol. 138, no. 4, pp. 403–409, 2001. View at Publisher · View at Google Scholar · View at Scopus
  39. M.-F. Ghilardi, C. Ghez, V. Dhawan et al., “Patterns of regional brain activation associated with different forms of motor learning,” Brain Research, vol. 871, no. 1, pp. 127–145, 2000. View at Publisher · View at Google Scholar · View at Scopus
  40. A. M. Graybiel, “The basal ganglia: learning new tricks and loving it,” Current Opinion in Neurobiology, vol. 15, no. 6, pp. 638–644, 2005. View at Publisher · View at Google Scholar · View at Scopus
  41. V. Menon, R. T. Anagnoson, G. H. Glover, and A. Pfefferbaum, “Basal ganglia involvement in memory-guided movement sequencing,” NeuroReport, vol. 11, no. 16, pp. 3641–3645, 2000. View at Scopus
  42. Y. Tang, W. Zhang, K. Chen et al., “Arithmetic processing in the brain shaped by cultures,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 28, pp. 10775–10780, 2006. View at Publisher · View at Google Scholar · View at Scopus
  43. A. R. Damasio and N. Geschwind, “The neural basis of language,” Annual Review of Neuroscience, vol. 7, pp. 127–147, 1984. View at Scopus
  44. C. J. Price, “The functional anatomy of word comprehension and production,” Trends in Cognitive Sciences, vol. 2, no. 8, pp. 281–288, 1998. View at Publisher · View at Google Scholar · View at Scopus
  45. E. Bonda, M. Petrides, S. Frey, and A. Evans, “Neural correlates of mental transformations of the body-in-space,” Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 24, pp. 11180–11184, 1995. View at Publisher · View at Google Scholar · View at Scopus
  46. S. Lambrey, C. Doeller, A. Berthoz, and N. Burgess, “Imagining being somewhere else: neural basis of changing perspective in space,” Cerebral Cortex, vol. 22, no. 1, pp. 166–174, 2012. View at Publisher · View at Google Scholar · View at Scopus
  47. T. Klingberg, “Development of a superior frontal-intraparietal network for visuo-spatial working memory,” Neuropsychologia, vol. 44, no. 11, pp. 2171–2177, 2006. View at Publisher · View at Google Scholar · View at Scopus
  48. M. M. Botvinick, J. D. Cohen, and C. S. Carter, “Conflict monitoring and anterior cingulate cortex: an update,” Trends in Cognitive Sciences, vol. 8, no. 12, pp. 539–546, 2004. View at Publisher · View at Google Scholar · View at Scopus
  49. N. Davis, C. J. Cannistraci, B. P. Rogers et al., “The neural correlates of calculation ability in children: an fMRI study,” Magnetic Resonance Imaging, vol. 27, no. 9, pp. 1187–1197, 2009. View at Publisher · View at Google Scholar · View at Scopus
  50. M. E. Raichle, A. M. MacLeod, A. Z. Snyder, W. J. Powers, D. A. Gusnard, and G. L. Shulman, “A default mode of brain function,” Proceedings of the National Academy of Sciences of the United States of America, vol. 98, no. 2, pp. 676–682, 2001. View at Publisher · View at Google Scholar · View at Scopus
  51. M. E. Raichle and M. A. Mintun, “Brain work and brain imaging,” Annual Review of Neuroscience, vol. 29, pp. 449–476, 2006. View at Publisher · View at Google Scholar · View at Scopus
  52. M. E. Raichle and A. Z. Snyder, “A default mode of brain function: a brief history of an evolving idea,” NeuroImage, vol. 37, no. 4, pp. 1083–1090, 2007. View at Publisher · View at Google Scholar · View at Scopus
  53. K. R. Ridderinkhof, M. Ullsperger, E. A. Crone, and S. Nieuwenhuis, “The role of the medial frontal cortex in cognitive control,” Science, vol. 306, no. 5695, pp. 443–447, 2004. View at Publisher · View at Google Scholar · View at Scopus