Inverse solution for time-correlated multiple sources using Beamformer method

Takeshi Kimura, Masahiro Kako, Hiromi Kamiyama, Atsushi Ishiyama, Naoko Kasai, Yutaka Watanabe

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The Adaptive Beamformer draws attention as an MEG inverse solution for multiple sources. The method has a drawback that we cannot apply it to the temporally correlated sources. We had developed a method to overcome this drawback. Signal-subspace eigenvectors of an original data-covariance matrix was decomposed by the GA-SA method (the hybrid method of Genetic Algorithm and Simulated Annealing) and a new decorrelated data-covariance matrix was reconstructed. The GA-SA method, however, requires the number of components of the eigenvector as a foreknowledge. In this study, we introduced the minimum-norm method, that requires no foreknowledge, instead of the GA-SA method. We carried out a three-dimensional simulation study using the proposed method, and applied to the auditory evoked response field measured by using the Vectorview system. As a result, multiple sources with time-correlations were successfully estimated.

Original languageEnglish
Pages (from-to)417-420
Number of pages4
JournalInternational Congress Series
Volume1300
DOIs
Publication statusPublished - 2007 Jun 1

Keywords

  • AEF(Auditory Evoked Field)
  • Adaptive Beamformer
  • MEG(Magnetoencephalography)
  • Minimum-norm method
  • Source estimation

ASJC Scopus subject areas

  • Medicine(all)

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