2006
DOI: 10.1016/j.neulet.2006.04.041
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Neural correlates of serial abacus mental calculation in children: A functional MRI study

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Cited by 80 publications
(96 citation statements)
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“…This region is of particular interest due to some evidence suggesting enhanced activation in the left fusiform gyrus during arithmetic following abacus training (Chen et al, 2006;Hanakawa et al, 2003) and could be used to visually represent the abacus during mental calculations (Li et al, 2013b). The left fusiform gyrus was found to have lower grey matter density in the abacustrained group compared to controls.…”
Section: Abacus Trainingmentioning
confidence: 99%
“…This region is of particular interest due to some evidence suggesting enhanced activation in the left fusiform gyrus during arithmetic following abacus training (Chen et al, 2006;Hanakawa et al, 2003) and could be used to visually represent the abacus during mental calculations (Li et al, 2013b). The left fusiform gyrus was found to have lower grey matter density in the abacustrained group compared to controls.…”
Section: Abacus Trainingmentioning
confidence: 99%
“…While naive control participants were much more disrupted by verbal interference, MA users showed larger interference effects for manual interference. In addition, a growing neuroimaging literature suggests that MA computations are associated with regions that support spatial and visual working memory (Chen et al, 2006;Du et al, 2013;Hanakawa, Honda, Okada, Fukuyama, & Shibasaki, 2003;Hu et al, 2011;Li et al, 2013;Li, Chen, & Huang, 2016;Tanaka, Michimata, Kaminaga, Honda, & Sadato, 2002).…”
mentioning
confidence: 99%
“…Several groups throughout China are developing advanced methods for EEG and fMRI analyses and applying fMRI to explore high-level cognitive functions. These include, the group of Tang XiaoWei in Zhejiang University [10], the group of Yao DeZhong in University of Electronic Science and Technology of China [11], the group of Li YuanQing in the South China University of Technology [12] and the group of Jiang TianZi in the Institute of Automation, CAS [13]. Apart from these, the non-linear dynamics approach has been a valuable tool for studying the dynamical properties of single neurons and the neuronal population.…”
Section: Cns In Chinamentioning
confidence: 99%