Hi Freesurfers,
The selxavg3-sess's help and Freesurfer documentation say
that selxavg3-sess creates a design matrix for each run, fits the glm for
each run, and then combines the runs together to give summary data for the
subject's whole session. Some of the fsfast 5 slides say it uses smart
The runs are brought into alignment during preprocessing. The default is
to motion correct each run to the middle time point of the run, then
sample the entire run to the common spaces (left hemi fsaverage, right
hemi, or the MNI305 for subcortical volume). Once this is done, all the
runs are
