MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data

Kensuke Sekihara, David Poeppel, Alec Marantz, Hideaki Koizumi, Yasushi Miyashita

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)515-521
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
Volume46
Issue number5
DOIs
StatePublished - 1999

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Covariance matrix
Jitter
Chemical activation
Experiments

Keywords

  • Biomagnetics
  • Biomedical electromagnetic imaging
  • Biomedical signal processing
  • Functional brain imaging
  • Inverse problems

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data. / Sekihara, Kensuke; Poeppel, David; Marantz, Alec; Koizumi, Hideaki; Miyashita, Yasushi.

In: IEEE Transactions on Biomedical Engineering, Vol. 46, No. 5, 1999, p. 515-521.

Research output: Contribution to journalArticle

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