Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRI - Details

Author：

He, Xiang (He, Xiang.) | Zhang, Xiaofei (Zhang, Xiaofei.) | Yang, Yang (Yang, Yang.) | Wu, Ting (Wu, Ting.) | Zhong, Ning (Zhong, Ning.)

Indexed by：

CPCI-S EI

Abstract：

Brain　structural　connectivity　is　the　foundation　of　its　functionality.　To　understand　the　brain　abilities,　studying　the　relation　between　structural　and　functional　connectivity　is　essential.　This　study　aims　to　investigate　the　structure　connectivity　and　the　information　exchange　efficiency　of　the　brain　language　network　under　different　task　modality.　Using　a　public　database　from　the　open　project　＇Word　and　Object　Processing＇　shared　from　the　OpenfMRI　website　(https://openfmri.org/dataset/),　this　study　analyzed　task-state　fMRI　data　of　45　subjects　with　high　temporal　and　spatial　resolution.　Based　on　the　topological　characteristics　of　language　network　connection　efficiency,　this　study　investigated　the　structure　connectivity　and　the　information　exchange　efficiency　of　the　brain　language　function　network　under　different　tasks.　The　result　findings　show　that　the　structure　connectivity　and　the　information　exchange　efficiency　of　the　brain　language　network　are　strongly　affected　by　the　task　modality.　The　task　of　written　words　reading,　compared　with　other　tasks,　gets　more　language　network　nodes　involved　and　thus　the　strongest　structural　connectivity　will　be　activated　and　the　highest　information　exchange　efficiency　will　be　achieved.　©　2019,　Springer　Nature　Switzerland　AG.

Keyword：

Efficiency Object recognition Information dissemination

Author Community：

[ 1 ] [He, Xiang]School of Foreign Language, Jiangsu University of Science and Technology, Zhenjiang; 212003, China
[ 2 ] [Zhang, Xiaofei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Zhang, Xiaofei]School of Computer, Jiangsu University of Science and Technology, Zhenjiang; 212003, China
[ 4 ] [Zhang, Xiaofei]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing; 100124, China
[ 5 ] [Zhang, Xiaofei]Beijing Key Laboratory of MRI and Brain Informatics, Beijing; 100124, China
[ 6 ] [Yang, Yang]Department of Psychology, Beijing Forest University, Beijing; 100083, China
[ 7 ] [Yang, Yang]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing; 100124, China
[ 8 ] [Yang, Yang]Beijing Key Laboratory of MRI and Brain Informatics, Beijing; 100124, China
[ 9 ] [Yang, Yang]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi; Gunma; 371-0816, Japan
[ 10 ] [Wu, Ting]Mental Health Education Center, Jiangsu University, Zhenjiang; 212003, China
[ 11 ] [Zhong, Ning]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 12 ] [Zhong, Ning]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing; 100124, China
[ 13 ] [Zhong, Ning]Beijing Key Laboratory of MRI and Brain Informatics, Beijing; 100124, China
[ 14 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi; Gunma; 371-0816, Japan

Reprint Author's Address：

钟宁
[zhong, ning]faculty of information technology, beijing university of technology, beijing; 100124, china;;[zhong, ning]beijing key laboratory of mri and brain informatics, beijing; 100124, china;;[zhong, ning]beijing international collaboration base on brain informatics and wisdom services, beijing; 100124, china;;[zhong, ning]department of life science and informatics, maebashi institute of technology, maebashi; gunma; 371-0816, japan

Email：

zhong@maebashi.ac.jp

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