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

被引：22

作者：

Sekihara, K

Poeppel, D

Marantz, A

Koizumi, H

Miyashita, Y

机构：

[1] Japan Sci & Technol Corp, Mind Articulat Project, Bunkyo Ku, Tokyo 1130034, Japan

[2] Univ Maryland, Dept Linguist & Biol, College Pk, MD 20742 USA

[3] MIT, Dept Linguist & Philosophy, Cambridge, MA 02139 USA

[4] Univ Tokyo, Dept Physiol, Sch Med, Tokyo 1130033, Japan

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 1999年 / 46卷 / 05期

关键词：

biomagnetics; biomedical electromagnetic imaging; biomedical signal processing; functional brain imaging; inverse problems;

D O I：

10.1109/10.759052

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 he 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.

引用

页码：515 / 521

页数：7

共 8 条

[1] METHODOLOGICAL CONSIDERATIONS FOR THE EVALUATION OF SPATIOTEMPORAL SOURCE MODELS [J].