Hi DCM experts,
I have 2 nodes (iEEG data) for which I am employing DCM for cross spectral densities (CSD) with canonical microcircuit model (CMC). The model which is winning consisitently is the fully connected model (with A->B (forward and backward connections and B->A with forward and backward connections). I have not included the lateral connections and there is no condition trials (so no B effect) that I'm currently using. I'm trying to interpret the connectivity parameters (DCM.Ep.A) between 2 nodes for forward and backward connections.
The four columns in DCM.Ep.A are as this: [-32,-0.2821;0.02172,-32] [-32,0.8138;-0.3227,-32] [-32,-0.4286;-0.1337,-32] [-32,2.04397;-0.04991,-32]
I had expected only 2 matrices with -32 as constants and the other numbers corresponding to forward and backward connections. Can someone please tell me what all these numbers correspond to?
Thanks.
Best,
Saurabh
|