In case you missed it, there's a very interesting discussion of DCM, GCM, and causal modelling in general on Russ Poldrack's blog.
I've never dug properly into these methods myself, partly because I'm busy enough with MVPA methods, but also from quite a bit of skepticism that they are mature enough to be reliably interpretable at the moment. Their discussion added detail to some of the things I've been generally skeptical about, and is a must-read for people thinking about starting with causal modelling of fMRI data.
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