Article (Scientific journals)
Robustness of optimal design of fMRI experiments with application of a genetic algorithm.
Maus, Bärbel; van Breukelen, Gerard J P; Goebel, Rainer et al.
2010In NeuroImage, 49 (3), p. 2433-2443
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Keywords :
Algorithms; Computer Simulation; Magnetic Resonance Imaging; Models, Theoretical
Abstract :
[en] In this paper we apply the genetic algorithm developed by Kao et al. (2009) to find designs which are robust against misspecification of the error autocorrelation. Two common optimality criteria, the A-optimality criterion and the D-optimality criterion, based upon a general linear model are employed to obtain locally optimal designs for a given value of the autocorrelation. The maximin criterion is then used to obtain designs which are robust against misspecification of the autocorrelation. Furthermore, robustness depending on the choice of optimality criterion is evaluated. We show analytically and empirically that the A- and D-optimality criterion will result in different optimal designs, e.g. with different stimulus frequencies. Optimal stimulus frequency for the A-optimality criterion has been derived by Liu et al. (2004) whereas we derive here the optimal stimulus frequency for the D-optimality criterion. Conclusions about the robustness of an optimal design against misspecification of model parameters and choice of optimality criterion are drawn based upon our results.
Disciplines :
Neurosciences & behavior
Author, co-author :
Maus, Bärbel ;  Maastricht University > Department of Methodology & Statistics
van Breukelen, Gerard J P
Goebel, Rainer
Berger, Martijn P F
Language :
English
Title :
Robustness of optimal design of fMRI experiments with application of a genetic algorithm.
Publication date :
2010
Journal title :
NeuroImage
ISSN :
1053-8119
eISSN :
1095-9572
Publisher :
Elsevier Science, Orlando, United States - Florida
Volume :
49
Issue :
3
Pages :
2433-2443
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Copyright (c) 2009 Elsevier Inc. All rights reserved.
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since 01 March 2012

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