MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data.
basic_science · Level V
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Abstract
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.
Medical subject headings
- Algorithms
- Magnetoencephalography
- Signal Processing, Computer-Assisted