Model selection in spatio-temporal electromagnetic source analysis

Lourens J. Waldorp, Hilde M. Huizenga, Arye Nehorai, Raoul P.P.P. Grasman, Peter C.M. Molenaar

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Several methods [model selection procedures (MSPs)] to determine the number of sources in electroencephalogram (EEG) and magnetoencphalogram (MEG) data have previously been investigated in an instantaneous analysis. In this paper, these MSPs are extended to a spatio-temporal analysis if possible. It is seen that the residual variance (RY) tends to overestimate the number of sources. The Akaike information criterion (AIC) and the Wald test on amplitudes (WA) and the Wald test on locations (WL) have the highest probabilities of selecting the correct number of sources. The WA has the advantage that it offers the opportunity to test which source is active at which time sample.

Original languageEnglish (US)
Pages (from-to)414-420
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
Volume52
Issue number3
DOIs
StatePublished - Mar 2005

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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