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

Author

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

Author_Institution

Japan Sci. & Technol. Corp., Tokyo, Japan

Volume

46

Issue

5

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

515

Lastpage

521

Abstract

The authors 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.

Keywords

covariance matrices; hearing; magnetoencephalography; medical signal processing; timing jitter; MEG spatio-temporal analysis; auditory evoked MEG data; covariance matrix; nonaveraged multiple-epoch data; time jitter; very narrow time window; Biomagnetics; Biomedical imaging; Biomedical measurements; Covariance matrix; Data analysis; Inverse problems; Jitter; Magnetic analysis; Magnetic field measurement; Multiple signal classification; Algorithms; Auditory Cortex; Electromagnetic Fields; Evoked Potentials, Auditory; Humans; Magnetoencephalography; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.759052

Filename

759052