Hi Daniel,

Yes, to compute condition-specific QC_MeanGSchange and QC_MeanMotion measures you may:

1) go to the Setup.CovariatesFirstLevel tab, select the covariate named 'QC_timeseries' and click on the 'covariate tools. compute new/derived 2nd-level covariates' option

2) in the new gui, select the following options:

   consider covariate QC_timeseries: raw values
   summarize across timepoints: average
   summarize across dimensions: do not aggregate
   summarize across dimensions first: unchecked
   condition-specific measures: checked

This will create two new second-level covariates for each condition, the first one will be QC_MeanGSchange (measure1) and the second QC_MeanMotion (measure2), each computed separately for each defined condition.

Similarly, in order to compute condition-specific QC_MaxGSchange and QC_MaxMotion measures, simply follow the same steps as above but now in the "summarize across timepoints" option select "maximum" instead of "average".

Hope this helps
Alfonso