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Hi Mite,

Thats great! Thank you.

We want to analyse the graphs and its metrics using the full A-B-C connectivity matrices.

I have a basic question about using the matrices for each subject, would it be possible to just use the (single) group level A-B-C matrices for the graph analysis?

The reason I ask is because in our DCM analysis we did not have a clear hypothesis about the network architecture for the five task relevant brain regions. We therefore used a “data-driven” approach, with Parametric Empirical Bayesian method (PEB) to identify the connectivity structure. As far as I understand, PEB seeks the optimal model by testing various combinations of A-B-C-parameters through a pruning process, the winning model is therefore estimated at the group level instead of the individual subjects.

Let me know if you need any clarifications or more information.

Shrikanth