Dear SPM community.
I have posted this message already one week ago. I would highly appreciate
any answer!
I would like to know how the mean adjusted data (y) of a selected voxel
relates to the percent signal change that is almost always reported in
publications. Is there a formula to compute % signal change from y?
I extract the mean adjusted data for a particular voxel by averaging
over a number of events from the "raw" data series (y) for that voxel.
As a second question: where do the extreme outliers in the adjusted data
at the beginning of each session come from? Is there a way to avoid these
outliers?
Thank you all very much,
Guido Hesselmann
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