Estimation of distributed internal electrical sources of MEG activities evoked by verbal cognitive tasks

Seiji Nakagawa, Shoogo Ueno, Sunao Iwaki, Keiji Iramina, Harold Weinberg

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we investigate an estimation of internal sources with poor information about their source profile, which is important in order to analyze the higher functions of the human brain. We used a 64-channel whole-head-type SQUID system to record MEG activities evoked by visually cognitive tasks. Three kinds of stimuli were presented: English words, nonsense words, and random dot patterns. Spatially distributed internal sources with latencies between 320 and 420 msec were estimated by using a sub-optimal least-squares subspace scanning technique. From three subjects data, the following results of distributed source estimations were shown: English words stimuli activated large area, the left temporal region, the parietal and right postero-temporal region, nonsense words activated the parertal region, random dot patterns activated the frontal region.

Original languageEnglish
Pages (from-to)1237-1239
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
Publication statusPublished - 1997
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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