Our group is focusing on the study and research on attention using
fMRI. In the study, we encounter some puzzled problems with data
analysis. And, unfortunately, no unanimity was achieved. Would you
please provide us your own understanding for reference and your help
will be greatly appreciated. Thanks.
We used acquired a dataset of a Session consisting of TWO runs, A, B,
in which, we follow the same paradigm but different conditions. We
employed two different processing sequences to analyze them.
1. Realignment- Coregister – Segment - Normalize - Smooth were done,
and the processed images of Run A and B were combined together before
the GLM.
2. the manipulation that the images of Run A and B were combined
together which is followed by Realignment- Coregister – Segment -
Normalize – Smooth –GLM.
After these , we find huge differences in the activated area, which
were supposed to be SIMILAR or not significantly different.
Could you give us some reasonable explanation mathematically and logically?
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