All,
I am running an experiment with two related tasks in a group of normals. My question is this:
is there any reason why I should make two separate 1st level models for each subject (one per
subject), rather than one model with two sessions (one for each task)? Will running one bigger
model change the way effects and variances are estimated? or influence my ability to compare
the magnitude of activation in a given brain region between the two taks.
thanks!
Amit
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