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Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB

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  • Kao, Ming-Hung

Abstract

Designs for event-related functional magnetic resonance imaging (ER-fMRI) that help to efficiently achieve the statistical goals while taking into account the psychological constraints and customized requirements are in great demand. This is not only because of the popularity of ER-fMRI but also because of the high cost of ER-fMRI experiments; being able to collect highly informative data is crucial. In this paper, we develop a MATLAB program which can accommodate many user-specified experimental conditions to efficiently find ER-fMRI optimal designs.

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  • Kao, Ming-Hung, 2009. "Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i11).
    • Handle: RePEc:jss:jstsof:v:030:i11
    DOI: http://hdl.handle.net/10.18637/jss.v030.i11
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    Cited by:

    1. Maus, Bärbel & van Breukelen, Gerard, 2014. "POBE: A Computer Program for Optimal Design of Multi-Subject Blocked fMRI Experiments," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i09).
    2. Holger Dette & Laura Hoyden & Sonja Kuhnt & Kirsten Schorning, 2017. "Optimal designs for thermal spraying," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 53-72, January.

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