Hey Gang,
Thanks for the quick reply!
However based on your reply, I am not entirely sure I understand how 3dTcorrMap works.
As I understand it, for each voxel the program computes the correlation across the time domain, and then sums across the space domain. If this is the case, then the temporal discontinuities would create jumps in the data, thus increasing the shared variance.
Is it the case that for each voxel 3dTcorrMap computes the correlation across the space domain, and then sums across the time domain? If this is the case, wouldn't the output be a timecourse, rather than a spatial map?
Sorry for the confusion, and super thanks for the help.
-nick