I'm learning to perform the multivariate covariance analysis with SSMPCA toolbox (scanvp/ssmpca, www.feinsteinneuroscience.org). The step-by-step procedure to obtain covariance pattern and relatives single-subject scores is well described by several articles and within scanvp instruction. However, to derive a robust covariance pattern a bootstrap resampling should be performed to identify the most reliable voxels within the original derivation dataset associated with the least standard deviation in a repeated pattern derivation (see attached articles). But I don't understand whether this part of analysis can be performed with scanvp toolbox. If so, how is this to be achieved?
Thank you,
Giulia
Have a look at Article Bootstrapping technique in structural equation modeling: a M...
andArticle Bootstrapping the Out-of-sample Predictions for Efficient an...
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