Presentation | 2005/3/22 Simultaneous source current estimation of eyes and cortical activities for the removal of eye movement artifacts from MEG data Yusuke FUJIWARA, Masaaki SATO, Okito YAMASHITA, Taku YOSHIOKA, Dai KAWAWAKI, Tomohiro SHIBATA, Kenji DOYA, Keisuke TOYAMA, Mitsuo KAWATO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When measuring MEG, the magnetic field generated by eye-movement is a major artifact that contaminates the MEG signals from the brain. In order to investigate brain activities related to eye movmement by MEG, it is essential to remove eye-movement artifact. As a method to remove eye-movement artifact, this report compares four methods : least square estimation, moving-dipole method, Wiener estimation and hierarchical Bayesian estimation. We found in a simulation experiment that the simultaneous estimation of both eye and brain sources by hierarchical Bayesian estimation is the best way to correct eye artifact. Moreover, we show that the hierarchical Bayesian estimation is effective for real MEG data duaring smooth-pursuit eye movement. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MEG / eye movement / ocular artifact / source current estimation / inverse problem |
Paper # | NC2004-174 |
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Committee | NC |
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Conference Date | 2005/3/22(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Simultaneous source current estimation of eyes and cortical activities for the removal of eye movement artifacts from MEG data |
Sub Title (in English) | |
Keyword(1) | MEG |
Keyword(2) | eye movement |
Keyword(3) | ocular artifact |
Keyword(4) | source current estimation |
Keyword(5) | inverse problem |
1st Author's Name | Yusuke FUJIWARA |
1st Author's Affiliation | Nara Institute of Science and Technology:Computational Neuroscience Labs:CREST, Japan Science and Technology Corporation() |
2nd Author's Name | Masaaki SATO |
2nd Author's Affiliation | Computational Neuroscience Labs:CREST, Japan Science and Technology Corporation |
3rd Author's Name | Okito YAMASHITA |
3rd Author's Affiliation | Computational Neuroscience Labs |
4th Author's Name | Taku YOSHIOKA |
4th Author's Affiliation | Computational Neuroscience Labs |
5th Author's Name | Dai KAWAWAKI |
5th Author's Affiliation | Nara Institute of Science and Technology:Computational Neuroscience Labs:CREST, Japan Science and Technology Corporation |
6th Author's Name | Tomohiro SHIBATA |
6th Author's Affiliation | Nara Institute of Science and Technology:Computational Neuroscience Labs:CREST, Japan Science and Technology Corporation |
7th Author's Name | Kenji DOYA |
7th Author's Affiliation | Nara Institute of Science and Technology:Computational Neuroscience Labs:CREST, Japan Science and Technology Corporation:Okinawa Institute of Science and Technology |
8th Author's Name | Keisuke TOYAMA |
8th Author's Affiliation | Technology Research Lab. Shimadzu Co. |
9th Author's Name | Mitsuo KAWATO |
9th Author's Affiliation | Nara Institute of Science and Technology:Computational Neuroscience Labs |
Date | 2005/3/22 |
Paper # | NC2004-174 |
Volume (vol) | vol.104 |
Number (no) | 759 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |