Hello dear all,
I am using fMRI and SPM for a while to investigate movement kinematics.
However, it is still not fully clear to me which default corrections SPM applies to the brain data (fMRI) and the model regressors before estimating the the model/weights.
So far I know that SPM applies high-pass filtering and grand mean scaling to the BOLD signals by default, but are there any more corrections applied to the brain data before model estimation? What about the regressors? How are they manipulated in SPM default mode?
Any hint on these points is greatly appreciated.
Iman
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