| Presentation | 2015-03-17 An estimation method of the number and locations of fMRI invisible correlated sources based on statistical model selection for fMRI-MEG integration analyses 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 magnetoencephalography (MEG) inverse problem, the case that correlated sources exist but their locations and numbers are unknown is one of the most difficult problem. In this study, we proposed a novel method in which, fMRI visible sources were adopted as the initial source model. For the model, ordinary least square estimation (OLS estimation) was applied. Subsequently, an adaptive beamformer was applied to the residuals in order to estimate the location of fMRI invisible sources. Then, a new dipole was allocated into the estimated location and updated new model was obtained. In this method, these procedures were repeated and the information criterion was used to terminate the repetition. Numerical simulations demonstrate that the proposed method could estimate locations and the number of fMRI invisible correlated sources, if the location of fMRI invisible source could be estimated correctly. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Signal source estimation / information criterion / model selection / fMRI-MEG integrative analysis / correlated signal source |
| Paper # | MBE2014-159,NC2014-110 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2015/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An estimation method of the number and locations of fMRI invisible correlated sources based on statistical model selection for fMRI-MEG integration analyses |
| Sub Title (in English) | |
| Keyword(1) | Signal source estimation |
| Keyword(2) | information criterion |
| Keyword(3) | model selection |
| Keyword(4) | fMRI-MEG integrative analysis |
| Keyword(5) | correlated signal source |
| 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 | 2015-03-17 |
| Paper # | MBE2014-159,NC2014-110 |
| Volume (vol) | vol.114 |
| Number (no) | 515 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |