In our project, we are trying to understand head motion's effect on brain activations. MOCO data are motion corrected NOTMOCO data. Our NOTMOCO data's head motion is at 1-2mm motion range and MOCO (motion corrected NOTMOCO data. this motion correction process is done by MR) So NOTMOCO data is ın other word raw data and MOCO data is the motion corrected data. Because of that, we are expecting NOTMOCO should have more activations than MOCO but in AFNI, MOCO have more activations but in GIFT ,CONN and REST, NOTMOCO has more activations than MOCO. I couldn't understand why it is happening..