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Hi all,
If you are concatenating two sessions (which I am aware is
not recommended) into a single model, do you preprocess the data as one session
(i.e. realigning two sessions as one, so that the movement parameters will
result in one file instead of one for each session), or would you preprocess
the data as two sessions and concatenate the movement parameters to input as a
regressor for the GLM?
Thanks for the help!
Tracy H. Wang
Functional Neuroimaging of Memory Laboratory
Center for the Neurobiology of Learning and Memory
Department of Neurobiology and Behavior
http://fnim.bio.uci.edu