Hi Ilana,
With respect to model inference: When you run the same models for both groups (A,B,C,D), you can compare whether the same model is optimal across the 2 groups.
With respect to parameter inference: Use between-subject classical statistics if the optimal model is the same, e.g. model A. If between groups you do not get the optimal model, e.g. model A is optimal in group 1 and model B is optimal in group 2, then I would first apply Bayesian model averaging on these 2 models, and then do the parameter inference on the averaged models.
Hope that helps!
Hanneke--On Wed, Sep 19, 2012 at 7:47 AM, Ilana Podlipsky <[log in to unmask]> wrote:
Hello SPMrs!
I'd like to compare the same DCM analysis between two different fMRI data sets of the same paradigm (2 subject groups, same scanning parameters and paradigm for both of them).
How can I do this? what parameters are eligible for comparison?
Thank you
Ilana
Hanneke den Ouden, PhD
Donders Institute for Brain Cognition and Behaviour
Radboud University Nijmegen
Kapittelweg 29, 6525 EN
office 1.36
tel +31 24 36 68491
Center for Neural ScienceNew York University4 Washington Place, room 873New York NY 10003