MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data
Kensuke Sekihara, David Poeppel, Alec Marantz, Hideaki Koizumi, Yasushi Miyashita · IEEE Transactions on Biomedical Engineering · 1999
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.