| Presentation | 2019-06-18 Spatial-Temporal decomposition to resting and task MEG using DMD Fumiya Nakai, Okito Yamashita, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive operation. However, the decomposition or dimensional reduction method with the spectral dynamics view was not developed yet. Here, we propose a new MEG signal decomposition method based on dynamic mode decomposition (DMD) and clustering. The method was tested for empirical tasks and resting MEG signals and it showed some components were decomposed into the same component with different phase map, which had been decomposed as different by independent component analysis (ICA). The suggesting method is expected as a low-cost spatial-temporal signal decomposition method and it can be applicable to the detection of oscillation-based neural activation such as cross-frequency coupling. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Dynamic Mode Decomposition / Magnetoencephalography / Clustering / Independent Component Analysis / fMRI meta-analysis / signal decomposition / dimensional reduction / spatial-temporal dynamics |
| Paper # | NC2019-13,IBISML2019-11 |
| Date of Issue | 2019-06-10 (NC, IBISML) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-MPS / IPSJ-BIO |
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| Conference Date | 2019/6/17(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neurocomputing, Machine Learning Approach to Biodata Mining, and General |
| Chair | Hayaru Shouno(UEC) / Hisashi Kashima(Kyoto Univ.) / Masakazu Sekijima(Tokyo Tech) / Hiroyuki Kurata(Kyutech) |
| Vice Chair | Kazuyuki Samejima(Tamagawa Univ) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Kazuyuki Samejima(NAIST) / Masashi Sugiyama(NTT) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) / (Nagoya Univ.) |
| Assistant | Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / IPSJ Special Interest Group on Mathematical Modeling and Problem Solving / IPSJ Special Interest Group on Bioinformatics and Genomics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spatial-Temporal decomposition to resting and task MEG using DMD |
| Sub Title (in English) | |
| Keyword(1) | Dynamic Mode Decomposition |
| Keyword(2) | Magnetoencephalography |
| Keyword(3) | Clustering |
| Keyword(4) | Independent Component Analysis |
| Keyword(5) | fMRI meta-analysis |
| Keyword(6) | signal decomposition |
| Keyword(7) | dimensional reduction |
| Keyword(8) | spatial-temporal dynamics |
| 1st Author's Name | Fumiya Nakai |
| 1st Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 2nd Author's Name | Okito Yamashita |
| 2nd Author's Affiliation | ATR(ATR) |
| Date | 2019-06-18 |
| Paper # | NC2019-13,IBISML2019-11 |
| Volume (vol) | vol.119 |
| Number (no) | NC-88,IBISML-89 |
| Page | pp.pp.51-56(NC), pp.73-78(IBISML), |
| #Pages | 6 |
| Date of Issue | 2019-06-10 (NC, IBISML) |