MEG analysis with spatial filter and multiple linear regression

Shinpei Okawa, Satoshi Honda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A spatial filterlor MEG analysis which does not utilize any temporal and prior information is proposed. The spatial filter is normalized to satisfy the criterion which is derived from the definition of the spatial filter. Due to the normalization, the spatial filter outputs the largest value at its target position. Furthermore, the current density distribution estimated with spatial filter is localized with Mallows Cp statistic which selects an optimum regression model. Some numerical experiments verify that this method estimates almost correct positions of dipoles. It is also confirmed that new method we propose gives more reliable estimation than the conventional method which decides dipole on the position of the largest current density estimated with spatial filter iteratively.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages1981-1985
Number of pages5
Publication statusPublished - 2004
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Other

OtherSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

Fingerprint

Linear regression
Current density
Statistics
Experiments

Keywords

  • Inverse problem
  • MEG
  • Multiple linear regression
  • Spatial filter

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Okawa, S., & Honda, S. (2004). MEG analysis with spatial filter and multiple linear regression. In Proceedings of the SICE Annual Conference (pp. 1981-1985). [FAII-7-4]

MEG analysis with spatial filter and multiple linear regression. / Okawa, Shinpei; Honda, Satoshi.

Proceedings of the SICE Annual Conference. 2004. p. 1981-1985 FAII-7-4.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Okawa, S & Honda, S 2004, MEG analysis with spatial filter and multiple linear regression. in Proceedings of the SICE Annual Conference., FAII-7-4, pp. 1981-1985, SICE Annual Conference 2004, Sapporo, Japan, 04/8/4.
Okawa S, Honda S. MEG analysis with spatial filter and multiple linear regression. In Proceedings of the SICE Annual Conference. 2004. p. 1981-1985. FAII-7-4
Okawa, Shinpei ; Honda, Satoshi. / MEG analysis with spatial filter and multiple linear regression. Proceedings of the SICE Annual Conference. 2004. pp. 1981-1985
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