> Would concatenating the two runs of data be correct if the baseline conditions in each run were different?
If specified properly, the two runs would have their own baselines (and slow drifting effects).
> I actually tried running a model wherein the tasks are concatenated- 3dDeconvolve in this case outputs
> colinearity warnings (becuase run 1 is highly correlated with the regressor for task 1 and run2 is highly
> correlated with the regressor for task2).
Are you saying that you didn't have collinearity when analyzing each run separately but you did when the two runs were concatenated? If so, something was not properly specified in the latter situation.
Gang
