Atlas-based analysis of association between cerebral white matter fiber tracts and arithmetic ability - Details

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Abstract：

To　investigate　the　association　between　cerebral　white-matter　fiber　tracts　and　arithmetic　ability,　an　experiment　of　cognitive　function　was　designed　to　test　arithmetic　ability　of　all　subjects.　Then,　T1　structural　image　and　diffusion　tensor　imaging　were　collected.　The　average　fractional　anisotropy　(FA)　value　of　each　fiber　bundle　was　extracted　by　the　white　matter　tractography　atlas　of　Johns　Hopkins　University.　The　correlation　between　FA　values　of　fiber　tracts　and　behavior　data　was　performed.　Results　show　that　the　subtraction　scores　have　a　positive　correlation　with　the　FA　values　in　the　right　cingulum　(cingulate　gyrus)　and　the　right　inferior　longitudinal　fasciculus.　The　FA　values　of　the　right　superior　longitudinal　fasciculus　(temporal　part)　are　negatively　correlated　with　the　reaction　times　of　arithmetic　operations,　respectively.　These　observed　significant　correlations　are　not　just　an　effect　of　task　difficulty.　The　increasing　fiber　coherence　or　myelination　contribute　to　the　improvement　of　arithmetic　ability.　This　study　further　provides　new　evidences　for　the　neural　basis　of　sarithmetic　operations.　©　2016,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.

Keyword：

Arithmetic operations; Diffusion tensor imaging; Fractional anisotropy; White matter tracts

Author Community：

[ 1 ] [Li, H.]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Li, H.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 3 ] [Li, H.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China
[ 4 ] [Zhong, N.]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Zhong, N.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 6 ] [Zhong, N.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China
[ 7 ] [Zhong, N.]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, 371-0816, Japan
[ 8 ] [Yang, Y.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 9 ] [Yang, Y.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China
[ 10 ] [Yang, Y.]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, 371-0816, Japan
[ 11 ] [Zhou, H.]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
[ 12 ] [Zhou, H.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 13 ] [Zhou, H.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China
[ 14 ] [Yang, X.]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
[ 15 ] [Yang, X.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 16 ] [Yang, X.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China
[ 17 ] [Guo, J.]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
[ 18 ] [Guo, J.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 19 ] [Guo, J.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China
[ 20 ] [Ma, X.]International WIC Institute, Beijing University of Technology, Beijing, 100124, China
[ 21 ] [Ma, X.]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100124, China
[ 22 ] [Ma, X.]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China

Reprint Author's Address：

[Zhou, H.]International WIC Institute, Beijing University of TechnologyChina

Email：

zhouhaiyan@bjut.edu.cn

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Source ：

Journal of Beijing University of Technology

ISSN： 0254-0037

Year： 2016

Issue： 10

Volume： 42

Page： 1565-1571

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 9

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

化学与生命科学学院本学院/部未明确归属的数据

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