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

doi:10.1109/TBME.2004.842982

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

Human Development and Family Studies

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14 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 language	English (US)
Pages (from-to)	414-420
Number of pages	7
Journal	IEEE Transactions on Biomedical Engineering
Volume	52
Issue number	3
DOIs	https://doi.org/10.1109/TBME.2004.842982
State	Published - Mar 2005

All Science Journal Classification (ASJC) codes

Biomedical Engineering

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10.1109/TBME.2004.842982

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title = "Model selection in spatio-temporal electromagnetic source analysis",

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.",

author = "Waldorp, {Lourens J.} and Huizenga, {Hilde M.} and Arye Nehorai and Grasman, {Raoul P.P.P.} and Molenaar, {Peter C.M.}",

note = "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: waldorp@psy.uva.nl).",

year = "2005",

month = mar,

doi = "10.1109/TBME.2004.842982",

language = "English (US)",

volume = "52",

pages = "414--420",

journal = "IRE transactions on medical electronics",

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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: waldorp@psy.uva.nl).

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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EP - 420

JO - IRE transactions on medical electronics

JF - IRE transactions on medical electronics

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Model selection in spatio-temporal electromagnetic source analysis

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