Abstract :
[en] Blocked designs in functional magnetic resonance imaging (fMRI) are useful to localize functional
brain areas. A blocked design consists of different blocks of trials of the same stimulus type and is characterized
by three factors: the length of blocks, i.e., number of trials per blocks, the ordering of task and rest
blocks, and the time between trials within one block. Optimal design theory was applied to find the optimal
combination of these three design factors. Furthermore, different error structures were used within a
general linear model for the analysis of fMRI data, and the maximin criterion was applied to find designs
which are robust against misspecification of model parameters.
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