Hello, I am looking to run a GLM on a single subject, where data was collected across several different sessions. What is the best way to go about doing this in the FSFAST pipeline? I was thinking that I should just 1) drop the data for all the runs into a single BOLD directory as though they were from a single session, and 2) let the registration and motion correction do as well as they can. Is this a reasonable approach, and if so, are there any settings in the preprocessing or GLM that would advisable (for instance, in terms of running the GLM on the surface versus the volume, or doing the registration per-run versus per-session)?
Thank you very much, JohnMark
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