TY - JOUR
T1 - MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data
AU - Sekihara, Kensuke
AU - Poeppel, David
AU - Marantz, Alec
AU - Koizumi, Hideaki
AU - Miyashita, Yasushi
N1 - Funding Information:
Manuscript received August 7, 1997; revised November 19, 1998. This work was supported in part by the MIT-JST International Research Project “Mind Articulation.” Asterisk indicates corresponding author. *K. Sekihara is with the Mind Articulation Project, Japan Science and Technology Corporation (JST), Yushima 4-9-2, Bunkyo-ku, Tokyo 113-0034, Japan (e-mail: [email protected]). D. Poeppel is with the Department of Linguistics and Biology, University of Maryland, College Park, MD 20742 USA. A. Marantz is with the Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. H. Koizumi is with the Mind Articulation Project, Japan Science and Technology Corporation (JST), Tokyo 113-0034, Japan. Y. Miyashita is with the Mind Articulation Project, Japan Science and Technology Corporation (JST), Tokyo 113-0034, Japan. He is also with the Department of Physiology, The University of Tokyo, School of Medicine, Hongo, Tokyo 113-0033, Japan. Publisher Item Identifier S 0018-9294(99)03114-6.
PY - 1999
Y1 - 1999
N2 - We propose a magnetoencephalographic (MEG) spatio-temporal analysis in which the measurement-covariance matrix is calculated using nonaveraged multiple epoch data. The proposed analysis has two advantages. First, a very narrow time window can be used for the source estimation. Second, accurate localization is possible even when the source activation has a time jitter. Experiments using auditory evoked MEG data clearly demonstrate these advantages.
AB - We propose a magnetoencephalographic (MEG) spatio-temporal analysis in which the measurement-covariance matrix is calculated using nonaveraged multiple epoch data. The proposed analysis has two advantages. First, a very narrow time window can be used for the source estimation. Second, accurate localization is possible even when the source activation has a time jitter. Experiments using auditory evoked MEG data clearly demonstrate these advantages.
KW - Biomagnetics
KW - Biomedical electromagnetic imaging
KW - Biomedical signal processing
KW - Functional brain imaging
KW - Inverse problems
UR - http://www.scopus.com/inward/record.url?scp=0032967297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032967297&partnerID=8YFLogxK
U2 - 10.1109/10.759052
DO - 10.1109/10.759052
M3 - Article
C2 - 10230130
AN - SCOPUS:0032967297
SN - 0018-9294
VL - 46
SP - 515
EP - 521
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 5
ER -