Can I use FEAT to analyse PET data?
It is possible to use FEAT for analysing PET data although the default settings are designed for FMRI data and need modification. In particular: turn on intensity normalisation; turn off slice timing correction; use a higher value for spatial smoothing (8mm or more); turn convolution (with either basis functions or the HRF) off for each EV; do not include temporal derivatives nor high pass filtering (as PET doesn’t have the issues of aliasing nor temporal drift); and, similarly, turn pre-whitening off (no FILM) because PET also doesn’t have the problem of temporal autocorrelation. Note that TR is meaningless for PET so the default value (or any other value) is fine. • How do I analyse a “sparse-sampling” dataset? • Set the TR to be the actual time from the start of one volume to the start of the next, regardless of how long each one actually takes to acquire. • If this TR is longer than say 10s then you should probably turn off “FILM prewhitening” in the “Stats” section. • What you do
