| Presentation | 2002/5/10 Model-Driven fMRI Data Analysis by Splitting Temporal Space to Subspaces Shinobu MIZUTA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to find activated area in brain related to introduced models, a model-driven method for fMRI is proposed. In this method, temporal space which describes the measured time-course sequences is decomposed into model subspace and noise subspace, and the noise subspace is also decomposed into confound subspace, which means source signals of no-interest, and random noise subspace. The former decomposition is directly carried out using introduced models, and the latter is carried out by eigenvalue decomposition. Activated area is extracted by comparing the model subspace and the random noise subspace. From experiments for simulated data, usefulness of the proposed method is shown. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | fMRI / Subspace / General linear model / Principal component analysis / Eigenvalue decomposition |
| Paper # | PRMU2002-10 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2002/5/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Model-Driven fMRI Data Analysis by Splitting Temporal Space to Subspaces |
| Sub Title (in English) | |
| Keyword(1) | fMRI |
| Keyword(2) | Subspace |
| Keyword(3) | General linear model |
| Keyword(4) | Principal component analysis |
| Keyword(5) | Eigenvalue decomposition |
| 1st Author's Name | Shinobu MIZUTA |
| 1st Author's Affiliation | Department of Systems Science, Graduate School of Informatics, Kyoto University:Brain Science Institute, RIKEN() |
| Date | 2002/5/10 |
| Paper # | PRMU2002-10 |
| Volume (vol) | vol.102 |
| Number (no) | 55 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |