Hello all! I have a dataset that was *not designed for MVPA, *and I am trying to determine whether or not it's possible to conduct multivariate decoding analysis on it. I have also not used PyMVPA prior to this (having only experience in SPM).
What I need help with is to know if it's possible to use PyMVPA on my data in its current form, and if not, if there's a way I can fix that. Some details for the task: - Stimuli were presented for 1 TR (2 seconds) - However, they were followed by .75 seconds of feedback, then variable jitter times between trials - Because of this, some stimuli obviously have signal spread across multiple volumes. Working through the tutorial, it seems like PyMVPA wants individual trials separated cleanly by volume. Am I missing something? I'm also wondering if I could just use trial-by-trial beta maps (in which case, I could simply create one for each trial, easy peasy). In general, I'm honestly very confused. Any amount of help, any at all, would be much appreciated. I'm too wrapped up in my own thoughts to even know if I'm making sense. At the very least, knowing 1) if I can use my data and, 2) broadly, what I need to do would be great. Sorry for the long email! It's my first post and I wanted to be thorough (although I'm sure I've missed something...) Thanks, Kade
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