| Presentation | 2014-05-24 MEG-fMRI integration method : Validation of reconstruction accuracy under the existence of temporal correlated fMRI invisible sources Takafumi YANO, Hiroaki NATSUKAWA, Tetsuo KOBAYASHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this study, we compared accuracies of signal reconstructions obtained by two different MEG-fMRI integrative methods. The first method (proposed method) incorporates fMRI prior information as hard constraints and estimates activities of signal sources based on generalized least square estimation with linear constraint. On the other hand, the other method incorporates fMRI prior information as soft constraints and estimates activities based on Hierarchical Bayesian estimation. In simulation, we determined left-/right- V2 and left-/right- V5 areas from fMRI group analysis, and made them as four signal clusters. We assumed that time courses of the left-/right- V2 and left-/right- V5 were correlated. Simulation result demonstrated that our method could reconstruct reasonable time courses of the signal activities |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | fMRI-MEG integrative method / correlated source / generalizes least square estimation / Hierarchical Bayesian |
| Paper # | MBE2014-9 |
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| Conference Information | |
| Committee | MBE |
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| Conference Date | 2014/5/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | ME and Bio Cybernetics (MBE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | MEG-fMRI integration method : Validation of reconstruction accuracy under the existence of temporal correlated fMRI invisible sources |
| Sub Title (in English) | |
| Keyword(1) | fMRI-MEG integrative method |
| Keyword(2) | correlated source |
| Keyword(3) | generalizes least square estimation |
| Keyword(4) | Hierarchical Bayesian |
| 1st Author's Name | Takafumi YANO |
| 1st Author's Affiliation | Graduate School of Engineering, Kyoto University() |
| 2nd Author's Name | Hiroaki NATSUKAWA |
| 2nd Author's Affiliation | Graduate School of Engineering, Kyoto University |
| 3rd Author's Name | Tetsuo KOBAYASHI |
| 3rd Author's Affiliation | Graduate School of Engineering, Kyoto University |
| Date | 2014-05-24 |
| Paper # | MBE2014-9 |
| Volume (vol) | vol.114 |
| Number (no) | 51 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |