资源类型：
期刊/会议
文章类型：
会议论文
作者：
Zhijiang Wang[1,2]
*
;
Jiming Liu[1,2,3]
;
Ning Zhong[1,2,4]
;
Yulin Qin[1,2,5]
;
Haiyan Zhou[1,2]
;
Jian Yang[1,2]
;
Kuncheng Li[6,2]
;
机构：
[1]International WIC Institute, Beijing University of Technology, China
[2]Beijing Key Laboratory of MRI and Brain Informatics, China
[3]Department of Computer Science, Hong Kong Baptist University, China
[4]Department of Life Science and Informatics, Maebashi Institute of Technology, Japan
[5]Department of Psychology, Carnegie Mellon University, USA 6 Dept. of Radiology, Xuanwu Hospital, Capital Medical University, China
首都医科大学宣武医院
ISSN：
0302-9743
摘要：
This paper extended the concept of motif by maximum cliques defined as "hyperedges" in brain networks, as novel and flexible characteristic network building blocks. Based on the definition of hyperedge, a naïve brain hypergraph model was constructed from a graph model of large-scale brain functional networks during rest. Nine intrinsic hub hyperedges of functional connectivity were identified, which could be considered as the most important intrinsic information processing blocks (or units), and they also covered many components of the core brain intrinsic networks. Furthermore, these overlapped hub hyperedges were assembled into a compound structure as a core subsystem of the intrinsic brain organization. © 2012 Springer-Verlag.
第一作者：
Zhijiang Wang
第一作者机构：
[1]International WIC Institute, Beijing University of Technology, China
[2]Beijing Key Laboratory of MRI and Brain Informatics, China
推荐引用方式(GB/T 7714)：
Zhijiang Wang,Jiming Liu,Ning Zhong,et al.A naïve hypergraph model of brain networks[J].2012,7670 LNAI:doi:10.1007/978-3-642-35139-6_12.
APA：
Zhijiang Wang,Jiming Liu,Ning Zhong,Yulin Qin,Haiyan Zhou...&Kuncheng Li.(2012).A naïve hypergraph model of brain networks.,7670 LNAI,
MLA：
Zhijiang Wang,et al."A naïve hypergraph model of brain networks". 7670 LNAI.(2012)
