Topological analysis of the brain functional networks

Yoshinobu Shijo; Shin'ichi Arakawa; Masayuki Murata

Brain-inspired Information Communication Technologies

Research Article

Topological analysis of the brain functional networks

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Cite: BibTeX Plain Text

@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.

Keywords: brain functional networks fractal internet topological structure communication quality

Published: 2015-02-02
Publisher: ICST
Appears in: ACM Digital Library

: http://dx.doi.org/10.4108/icst.bict.2014.257881

Topological analysis of the brain functional networks

Abstract

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