Dear Conn-Team,
The resting state data I analysing using Conn consists of 2 sessions (recorded on different days). The Problem I encounter is that when I run the outlier detection within the preprocessing step in conn every volume is detected as an outlier in every participant. (of note my preprocessing is done outside of conn so I only do outliere detection in conn in order to be able to do scrubbing)

when ruminating about this Problem I came across some questions:
1. CONN attaches the two sessions in the art_screenshot (see attached). is that a problem (note the participant has left the scanner between the two session)
2. Is the outlier detection based on frame-wise displacement?
3. We are using the SpaceTimeRealign algorithm [Roche2011]  (the reading of the realignment files seemed to have worked fine) .... but to make sure this is how a part of the
realignment parameter files look like

-0.0000000000 0.0000000000 0.0000000000 -0.0000000000 0.0000000000 -0.0000000000
0.0372224205 0.0133710840 -0.0001266183 0.0007184454 -0.0002899682 0.0000019261
-0.0339213207 -0.0016000893 -0.0161957437 -0.0011051932 0.0009239895 0.0000964644
-0.0220374585 -0.1113202351 -0.0511013495 -0.0049295098 0.0006219891 0.0002790727

Thanks for your help
Ilka