Hi Iris,
I don't have much experience with pre-processing for ICA. You may want to try de-trending (using 3dDetrend) before running principal component analysis (with 3dpc) and see if that makes any difference.
After you run 3dICA, you should have two output files: One is the time series components (10 in your case), whose plots should automatically pops out when 3dICA.R finishes up, and the other one is mixing coefficients (10 sub-bricks) associated with those time series components. When you use AFNI graphic viewer, each sub-brick shows the weighting at a voxel associated with the corresponding time series component. In other words, the mixing coefficient at a voxel indicates how much role the corresponding time series component plays in the original data. You many want to familiarize yourself with the ICA principle a little bit:
[
sccn.ucsd.edu]
HTH,
Gang
