Dear Doug, I would like to perform GLM on a trial-by-trial basis in FSFAST. That is, I'm interested in obtaining beta estimates per trial and using them as input for group-level analyses of activation patterns (e.g., MVPA) or functional connectivity (e.g., beta series correlations). I've done this in the past using SPM to analyze data in volume space, and now would like to take a similar approach using FSFAST to analyze data in surface space. Would you please advise how I might be able to implement this? Thanks in advance for your input.
Best, Yuta _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
