I have recently been looking into algorithms for optimal design of event-related fMRI experiments. I have found two noteworthy tools – optseq2 and Neurodesign – which seem good for optimal design for univariate analyses, where estimation efficiency of beta-weights or t-contrasts can be the target of optimization.
For multivariate pattern analyses, what would people recommend? e.g., for MVPA on 1) run-GLM beta-weights and 2) trial-GLM beta weights. My initial thinking is that for 1), optimization for beta estimation efficiency (e.g. with optseq2) would be preferable. For 2), I think that uniform medium-length ISI (e.g. 2-4 s) may be preferable.
Thanks for any help.