TY - JOUR
T1 - Model selection in spatio-temporal electromagnetic source analysis
AU - Waldorp, Lourens J.
AU - Huizenga, Hilde M.
AU - Nehorai, Arye
AU - Grasman, Raoul P.P.P.
AU - Molenaar, Peter C.M.
N1 - Funding Information:
Manuscript received January 5, 2004; revised August 5, 2004. This work was supported in part by the Netherlands Organization for Scientific Research (NWO) foundation for Behavioral and Educational Sciences. The work of H. M. Huizenga was supported in part by a KNAW fellowship. Asterisk indicates corresponding author. *L. J. Waldorp is with the Department of Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands (e-mail: [email protected]).
PY - 2005/3
Y1 - 2005/3
N2 - 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.
AB - 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.
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U2 - 10.1109/TBME.2004.842982
DO - 10.1109/TBME.2004.842982
M3 - Article
C2 - 15759571
AN - SCOPUS:14844330799
SN - 0018-9294
VL - 52
SP - 414
EP - 420
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 3
ER -