Hi all,
I am using DCM to model the effective connectivity of my task fMRI data with 4 VOIs.
I set a full model following the previous theory. However, the explained variance in subject level DCM is out of tolerance (all less than 10%). I learnt that the automatic search in BMA may help to optimize the model that the redundant connectivity would be switch off. Thus, I want to know the decency to use the reduced model after auto search as the full model and rerun the DCM. If it would receive some criticism about its data-driven tendency?
Thanks,
Qunjun
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