i would like to know if there is a function in spm2 that does what afni's
3ddespike does. we used to routinely run 3ddespike before motion correction
to discard outliers...
i read in rik henson's sample preprocessing script that there's an spm5spike
function, which at least detects outliers but it is not part of spm5.
(see http://imaging.mrc-cbu.cam.ac.uk/imaging/SpmBatch5 )
is there a similar function for spm2 that detects and removes outliers? or
is there a better way to deal with outliers? our experiment is on visuomotor
systems and therefore involves some motion which is why we expect that
outliers may be a problem for us.
thanks for your help