I am currently trying to learn how to run analysis using 3dGCR. I am interested in looking at connectivity across 2 conditions within an event-related paradigm (negative and positive anticipation; or NA and PA, see example regressor functions below).

When I run the causality analysis, do I simply include the whole time series, but covary out the regressors I am NOT interested in (e.g., NI and PI)...OR, do I need to enter in the data from the regressors for only those conditions I am interested in (which would be difficult due to overlap between regressors of interest and those of no interest)?

Thanks in advance for the help.


NA NI PA PI
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0.01 0 0 0
0.27 0 0 0
0.76 0 0 0
1 0.02 0 0
0.81 0.52 0 0
0.32 1 0 0
0.07 0.52 0 0
0.01 0.13 0 0
0.01 0.02 0 0
0.27 0 0 0
0.76 0 0 0
1 0.02 0 0
0.81 0.52 0 0
0.32 1 0 0
0.07 0.52 0 0
0.01 0.13 0 0
0 0.02 0 0
0 0 0.01 0
0 0 0.27 0
0 0 0.76 0
0 0 1 0.02
0 0 0.81 0.52
0 0 0.32 1
0 0 0.07 0.52
0.01 0 0.01 0.13
0.27 0 0 0.02
0.76 0 0 0