Dear DCM experts
I am puzzled about the relationships between certain parts of the output produced by the DCM post hoc network discovery function (spm_dcm_post_hoc). In particular, the graphs of the connectivity structure that are produced (in anatomical and functional spaces) do not seem to correspond to the network that is represented by the Bayesian parameter average values (from DCM.Ep stored in DCM_BPA.mat) and their associated posterior probabilities (from DCM.Pp stored in DCM_BPA.mat). For the DCM post hoc analysis that I ran, I got graphs that show a connectivity structure that has many more connections between nodes than the number of connections identifiable from the DCM.Ep.A and DCM.Ep.B matrices combined (i.e. the connections with non-zero BPA values and non-zero posterior probabilities).
Could someone please help clarify this for me?
Regards,
Anthony
|