I have a question about the times series you would input into the PNM programme. 

If I am aiming to run a 'Full Analysis' in Feat,  using the output PNM EVs  in the stats tab, and including highpass filtering / smoothing etc in the pre-stats tab, do I need to use for the input into PNM a timeseries that has already had these other preprocessing steps (the highpass filtering) added to it? 

i.e. run FEAT with just the pre-processing tab on then use filtered-func-data from this as the input to the PNM?   

I ask after reading the following:  "If nuisance regressors are obtained before bandpassing and are to be projected out of the data after it is bandpassed, they must be bandpassed by the same filter before the projection"  from Jo HJ, Gotts SJ, Reynolds RC, et al. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of applied mathematics. 2013;2013:10.1155/2013/935154. doi:10.1155/2013/935154.