A naïve hypergraph model of brain networks

Zhijiang Wang*, Jiming LIU, Ning Zhong, Yulin Qin, Haiyan Zhou, Jian Yang, Kuncheng Li

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationBrain Informatics - International Conference, BI 2012, Proceedings
Number of pages11
Publication statusPublished - 2012
Event2012 International Conference on Brain Informatics, BI 2012 - Macau, China
Duration: 4 Dec 20127 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7670 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2012 International Conference on Brain Informatics, BI 2012

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)


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