title: MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data.
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.
authors.affiliation: Mind Articulation Project, Japan Science and Technology Corporation (JST), Tokyo, Japan. sekihara@ma.jst.go.jp
authors.forename: K
authors.initials: K
authors.lastname: Sekihara
authors.forename: D
authors.initials: D
authors.lastname: Poeppel
authors.forename: A
authors.initials: A
authors.lastname: Marantz
authors.forename: H
authors.initials: H
authors.lastname: Koizumi
authors.forename: Y
authors.initials: Y
authors.lastname: Miyashita
mesh_terms: D000465:Algorithms; D001303:Auditory Cortex / Q000502:physiology; D004574:Electromagnetic Fields; D005072:Evoked Potentials, Auditory; D006801:Humans; D015225:Magnetoencephalography; D012815:Signal Processing, Computer-Assisted