Brain-inspired Information Communication Technologies

Research Article

Topological analysis of the brain functional networks

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  • @INPROCEEDINGS{10.4108/icst.bict.2014.257881,
        author={Yoshinobu Shijo and Shin'ichi Arakawa and Masayuki Murata},
        title={Topological analysis of the brain functional networks},
        proceedings={Brain-inspired Information Communication Technologies},
        publisher={ICST},
        proceedings_a={BIICT},
        year={2015},
        month={2},
        keywords={brain functional networks fractal internet topological structure communication quality},
        doi={10.4108/icst.bict.2014.257881}
    }
    
  • Yoshinobu Shijo
    Shin'ichi Arakawa
    Masayuki Murata
    Year: 2015
    Topological analysis of the brain functional networks
    BIICT
    ICST
    DOI: 10.4108/icst.bict.2014.257881
Yoshinobu Shijo1,*, Shin'ichi Arakawa1, Masayuki Murata1
  • 1: Graduate school of Information Science and Technology, Osaka University
*Contact email: y-shijo@ist.osaka-u.ac.jp

Abstract

The Internet is one of the largest artificial network in the world, and it is desired to make the large-scale complex Internet into higher quality. Clues to the high quality can be found in human brain functional networks (BFNs) that show various functions at high level. In this paper, we analyze the topological structure and reveal advantages of BFNs from communication network perspective. Results of analysis show that BFNs have properties of fractality and disassortativity, and many superior paths at module-level topology.