Ventral stream plays an important role in statistical graph comprehension: An fMRI study - Details

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Abstract：

Although　statistical　graph　comprehension　has　been　investigated　in　cognitive　psychology,　it　has　not　been　reported　in　cognitive　neuroscience.　The　study　designed　an　experimental　condition,　i.e.,　a　statistical　graph　(SG),　and　two　control　conditions,　i.e.,　a　text　(ST)　and　a　statistical　graph　with　text　(SGT),　where　the　ST　is　a　verbal　description　of　the　information　from　the　SG,　and　the　SGT　is　a　mixed　graph　+　textual　description.　We　used　fMRI　to　analyze　the　brain　activity　of　36　normal　subjects　while　they　passively　view　the　statistical　information　presented　in　any　of　SG,　ST,　and　SGT.　The　results　indicate　that　statistical　graph　comprehension　requires　the　involvement　of　both　ventral　and　dorsal　streams,　with　more　dependence　on　the　ventral　stream　than　the　dorsal.　©　2014　Springer　International　Publishing.

Keyword：

Medical informatics Brain Statistics

Author Community：

[ 1 ] [Li, Mi]International WIC Institute, Beijing University of Technology, Beijing 100024, China
[ 2 ] [Li, Mi]School of Computer and Communication Engineering, Liaoning ShiHua University, Liaoning 113001, China
[ 3 ] [Li, Mi]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, China
[ 4 ] [Li, Mi]Beijing Key Laboratory of MRI and Brain Informatics, China
[ 5 ] [Lu, Shengfu]International WIC Institute, Beijing University of Technology, Beijing 100024, China
[ 6 ] [Lu, Shengfu]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, China
[ 7 ] [Lu, Shengfu]Beijing Key Laboratory of MRI and Brain Informatics, China
[ 8 ] [Wang, Jing]International WIC Institute, Beijing University of Technology, Beijing 100024, China
[ 9 ] [Wang, Jing]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, China
[ 10 ] [Wang, Jing]Beijing Key Laboratory of MRI and Brain Informatics, China
[ 11 ] [Ma, Liwang]International WIC Institute, Beijing University of Technology, Beijing 100024, China
[ 12 ] [Ma, Liwang]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, China
[ 13 ] [Ma, Liwang]Beijing Key Laboratory of MRI and Brain Informatics, China
[ 14 ] [Zhang, Mengjie]International WIC Institute, Beijing University of Technology, Beijing 100024, China
[ 15 ] [Zhang, Mengjie]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, China
[ 16 ] [Zhang, Mengjie]Beijing Key Laboratory of MRI and Brain Informatics, China
[ 17 ] [Zhong, Ning]International WIC Institute, Beijing University of Technology, Beijing 100024, China
[ 18 ] [Zhong, Ning]Dept. of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City 371-0816, Japan
[ 19 ] [Zhong, Ning]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, China
[ 20 ] [Zhong, Ning]Beijing Key Laboratory of MRI and Brain Informatics, China

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Source ：

ISSN： 0302-9743

Year： 2014

Volume： 8609 LNAI

Page： 12-20

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 3

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 2

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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