HI guys,
I am struggling with choosing proper way to preprocess my functional and structural data in spm12. I have a block design with 4 runs (sessions per subject). I would really appreciate your help in understanding which input should be used in this situation and whether what I am doing is actually correct.
I have created a batch for each subject:
STEP INPUT
1.Realign: E&R runs added as sessions
2.Coregister: E functional mean used as reference, t1 used as source, all resliced functional images used as other
3. Segment t1 as the only volume
4. Normalize: W – functional forward deformation field + plus resliced images from all my runs
5. Normalize: W – structural bias corrected t1 from segment
6. Smooth normalized images from step 4.
Questions:
Is this batch correct?
Should I or can I use coregistered images from step 2 instead of resliced images? What happens if I do? (visually, after checking registration there is no difference)
Is there any way I can improve this batch?
Again all help will be appreciated!
Kind regards
Janek
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