Hello everyone,

I am using seed-based rs-fMRI analysis in CONN. I chose the cluster showing significant correlation of fALFF map with behavioral score as the seed. However, every time when I run the seed-based functional connectivity analysis, the results would be a little bit different. The main differences are the coordinates, but the areas are exactly  the same areas. I followed the manual to do the analysis, and chose the same threshold. Does someone have happen to meet the same situation? How should I solve this problem?

By the way, I also extract the beta image generated in the first-level analysis to run the second level-analysis in SPM. I found the significant areas would be the same but the coordinates and cluster size are a little bit different. So a little bit confused.

Thanks

Hua