| Presentation | 2022-01-28 A Study on Detection of Subjects with Unique Brain Structures Using Eigenvalues of Laplacian Matrices Ohisi Yuki, Taniguchi Toyoaki, Segawa Eriko, Sakumoto Yusuke, |
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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 macroscale connectomes between the aggregation of nerve cells in the brain. The analysis of macroscale connectomes would be useful in detecting subjects (e.g., subjects with psychiatric disorders) with a unique connectome. In this paper, we discuss a method for detecting subjects with a unique connectome based on LAD (Laplacian Anomaly Detection), which have been used to detect anomalies in social. networks and communication networks. In addition, through experiments using actual connectome data, we evaluate the accuracy of the method based on LAD. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Network Analysis / Spectral Graph Theory / Laplacian Matrix / Anomaly Detection / Brain Connectome |
| Paper # | CQ2021-93 |
| Date of Issue | 2022-01-20 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2022/1/27(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kanazawa（Ishikawa Pref.） |
| 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 | Jun Okamoto(NTT) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) |
| 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 on Detection of Subjects with Unique Brain Structures Using Eigenvalues of Laplacian Matrices |
| Sub Title (in English) | |
| Keyword(1) | Network Analysis |
| Keyword(2) | Spectral Graph Theory |
| Keyword(3) | Laplacian Matrix |
| Keyword(4) | Anomaly Detection |
| Keyword(5) | Brain Connectome |
| 1st Author's Name | Ohisi Yuki |
| 1st Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| 2nd Author's Name | Taniguchi Toyoaki |
| 2nd Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| 3rd Author's Name | Segawa Eriko |
| 3rd Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| 4th Author's Name | Sakumoto Yusuke |
| 4th Author's Affiliation | Kwansei Gakuin University(Kwansei Gakuin Univ) |
| Date | 2022-01-28 |
| Paper # | CQ2021-93 |
| Volume (vol) | vol.121 |
| Number (no) | CQ-357 |
| Page | pp.pp.94-99(CQ), |
| #Pages | 6 |
| Date of Issue | 2022-01-20 (CQ) |