Hi Peter and SPM users,
Two months ago we had email conversation about my doubts on DCM. I finished the analysis and now working on interpretation. I went through the DCM tutorial and BMA paper to get understanding on what way to interpret my datasets. I read the book section http://www.fil.ion.ucl.ac.uk/~wpenny/publications/spm-book/selection.pdf to understand BMA and BPA. But i have following question:
1- We are specifically looking to understand connectivity in brain across treatment. This makes us incline to use parameter estimates over model estimates (BPA over BMA). BUt seems we can only do BPA if we select FFX and BMA if we select RFX. Why is this? Can I do RFX and then perform BPA? The reason to use RFX is that we are expecting different cognitive network for each patient. But we want to do Bayesian Parameter Averaging to interpret how patients connectivity changes as a measure of treatment across two scans.
SO my question is , can i do BPA using RFX.
Your advice will be really helpful again.
THanks
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