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Optimal Measurement Conditions for Spatiotemporal Eeg/Meg Source Analysis

Published online by Cambridge University Press:  01 January 2025

Hilde M. Huizenga ,
Dirk J. Heslenfeld  and
Peter C. M. Molenaar
Hilde M. Huizenga*
Affiliation:
University of Amsterdam
Dirk J. Heslenfeld
Affiliation:
University of Amsterdam and Free University of Amsterdam
Peter C. M. Molenaar
Affiliation:
University of Amsterdam
*
Requests for reprints should be sent to Hilde Huizenga, Department of Psychology, University of Amsterdam, Roetersstraat 15, 1018WB Amsterdam, THE NETHERLANDS. E-Mail: [email protected]
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Abstract

Electromagnetic source analysis yields estimates of the sources of the Electro- and/or MagnetoEncephaloGram (EEG/MEG) and thus generates a functional description of the human brain. The standard errors of the source estimates are influenced by the number and position of EEG/MEG sensors, by the number of time samples, and by the number of trials in which EEG/MEG is measured. Therefore, optimal design theory is applied to determine the required number and position of sensors, the required number of samples, and the required number of trials. To that end, the Fedorov exchange algorithm is extended to incorporate multi-response models. A simulation study and an empirical study on visual evoked potentials indicate that the proposed method is fast and reliable, and improves source precision considerably.

Keywords

spatiotemporal EEG/MEG source analysismultiresponse nonlinear regressionoptimal designFedorov exchange
Type
Articles
Information
Psychometrika , Volume 67 , Issue 2 , June 2002 , pp. 299 - 313
Copyright
Copyright © 2002 The Psychometric Society

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Footnotes

We would like to thank Juha Virtanen for his help in collecting the empirical data. The research of H.M.H. has been made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences. D.J.H. was supported by grant number 575-65-058 from the Dutch Organization for Scientific Research (NWO).

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