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pubmed-article:11835609pubmed:abstractTextWe have applied the eigenspace-based beamformer to reconstruct spatio-temporal activities of neural sources from MEG data. The weight vector of the eigenspace-based beamformer is obtained by projecting the weight vector of the minimum-variance beamformer onto the signal subspace of a measurement covariance matrix. This projection removes the residual noise-subspace component that considerably degrades the signal-to-noise ratio (SNR) of the beamformer output when errors in estimating the sensor lead field exist. Therefore, the eigenspace-based beamformer produces a SNR considerably higher than that of the minimum-variance beamformer in practical situations. The effectiveness of the eigenspace-based beamformer was validated in our numerical experiments and experiments using auditory responses. We further extended the eigenspace-based beamformer so that it incorporates the information regarding the noise covariance matrix. Such a prewhitened eigenspace beamformer was experimentally demonstrated to be useful when large background activity exists.lld:pubmed
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pubmed-article:11835609pubmed:authorpubmed-author:MiyashitaYasu...lld:pubmed
pubmed-article:11835609pubmed:authorpubmed-author:SekiharaKensu...lld:pubmed
pubmed-article:11835609pubmed:authorpubmed-author:NagarajanSrik...lld:pubmed
pubmed-article:11835609pubmed:authorpubmed-author:PoeppelDavidDlld:pubmed
pubmed-article:11835609pubmed:authorpubmed-author:MarantzAlecAlld:pubmed
pubmed-article:11835609pubmed:copyrightInfoCopyright 2002 Wiley-Liss, Inc.lld:pubmed
pubmed-article:11835609pubmed:issnTypePrintlld:pubmed
pubmed-article:11835609pubmed:volume15lld:pubmed
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pubmed-article:11835609pubmed:authorsCompleteYlld:pubmed
pubmed-article:11835609pubmed:pagination199-215lld:pubmed
pubmed-article:11835609pubmed:dateRevised2006-11-15lld:pubmed
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pubmed-article:11835609pubmed:year2002lld:pubmed
pubmed-article:11835609pubmed:articleTitleApplication of an MEG eigenspace beamformer to reconstructing spatio-temporal activities of neural sources.lld:pubmed
pubmed-article:11835609pubmed:affiliationDepartment of Electronic Systems and Engineering, Tokyo Metropolitan Institute of Technology, Asahigaoka 6-6, Hino, Tokyo 191-0065, Japan. ksekiha@cc.tmit.ac.jplld:pubmed
pubmed-article:11835609pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:11835609pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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