| Presentation | 2007-03-14 Verification of Hierarchical Bayesian Estimation combining MEG and fMRI : A Motor task analysis Masanori OSAKO, Okito YAMASHITA, Nobuo HIROE, Masaaki SATO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the non-invasive brain research, time resolution and spatial resolution are important factors. Magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) are the major recording means of brain activity. MEG measures brain activity with high temporal resolution , but its spatial resolution is poor, while fMRI records brain activity with high spatial resolution, but its temporal resolution is poor. Sato et.al presented a hierarchical Bayesian current estimation method (VBMEG) that combines MEG and fMRI. The main characteristic of VBMEG is that fMRI information is imposed as prior information on the variance distribution so that it gives a soft constraint on the variance. Simulation results indicate that VBMEG has better accuracy and spatial resolution than the conventional source current estimations. However, VBMEG has not been fully tested with real experimental data. In this study, in order to verify effectiveness and accuracy of VBMEG, we performed VBMEG analysis of MEG and fMRI data obtained while subjects executed voluntary right index finger movements. VBMEG results indicate that the estimated currents in the motor area and somatosensory area showed clear peaks at about 30ms and 120ms respectively. We also demonstrate that the performance of VBMEG is better than conventional methods (Minimum Norm , LORETA , Wiener) using same data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | MEG / fMRI / source current estimation / Hierarchical Bayesian estimation / voluntary finger movement |
| Paper # | NC2006-130 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2007/3/7(1days) |
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| 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) | Verification of Hierarchical Bayesian Estimation combining MEG and fMRI : A Motor task analysis |
| Sub Title (in English) | |
| Keyword(1) | MEG |
| Keyword(2) | fMRI |
| Keyword(3) | source current estimation |
| Keyword(4) | Hierarchical Bayesian estimation |
| Keyword(5) | voluntary finger movement |
| 1st Author's Name | Masanori OSAKO |
| 1st Author's Affiliation | NARA Institute of Science and Technology:ATR CNS() |
| 2nd Author's Name | Okito YAMASHITA |
| 2nd Author's Affiliation | ATR CNS |
| 3rd Author's Name | Nobuo HIROE |
| 3rd Author's Affiliation | ATR CNS:NICT |
| 4th Author's Name | Masaaki SATO |
| 4th Author's Affiliation | ATR CNS |
| Date | 2007-03-14 |
| Paper # | NC2006-130 |
| Volume (vol) | vol.106 |
| Number (no) | 588 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |