| Presentation | 2021-01-20 A Study of a Method to Analyze Brain Network Using WSD(Weighted Spectral Distribution) Yuki Oishi, Toyoaki Taniguchi, Yusuke Sakumoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to understand the complex behavior of brains, many works have analyzed connectomes, which are the connection information observed on various scales(microscale, mesoscale and macroscale) ofbrains. In particular, macroscale connectome is useful to investigate high-revel functions of brains. Hence, a new method for analyzing macroscale connectomes is expected to gain new understandings of brains. In this paper, we design a novel analysis method of macroscale connectomes using WSD(Weighted Spectral Distribution), and discuss the possibility of using the proposed method for brain connectome analysis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Network Analysis / Spectral Graph Theory / Laplacian Matrix / Random Matrix Theory / Brain Connectome |
| Paper # | CQ2020-66 |
| Date of Issue | 2021-01-13 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2021/1/20(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc. |
| Chair | Hideyuki Shimonishi(NEC) |
| Vice Chair | Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Jun Okamoto(Doshisha Univ.) / Takefumi Hiraguri(NICT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of a Method to Analyze Brain Network Using WSD(Weighted Spectral Distribution) |
| Sub Title (in English) | |
| Keyword(1) | Network Analysis |
| Keyword(2) | Spectral Graph Theory |
| Keyword(3) | Laplacian Matrix |
| Keyword(4) | Random Matrix Theory |
| Keyword(5) | Brain Connectome |
| 1st Author's Name | Yuki Oishi |
| 1st Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| 2nd Author's Name | Toyoaki Taniguchi |
| 2nd Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| 3rd Author's Name | Yusuke Sakumoto |
| 3rd Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| Date | 2021-01-20 |
| Paper # | CQ2020-66 |
| Volume (vol) | vol.120 |
| Number (no) | CQ-314 |
| Page | pp.pp.32-37(CQ), |
| #Pages | 6 |
| Date of Issue | 2021-01-13 (CQ) |