Hi connectivity fans,

I am very new to connectivity analyses. I just tried Gang's simple connectivity analysis on his AFNI page. Correlating activity over the whole experiment gives me very interesting results but I have an event related design with different trial components that I'd like to explore in more detail.

My goal is to have two maps showing me regions that are correlated with activity in my seed region during: (1) an early phase of an individual trial and (2) a late phase of an individual trial. I was planning on using the Beta Series method (described by Rissman, Gazzaley, D'Esposito, 2004, NeuroImage).

Are other users using this method? If so, would anyone be willing to post some sample code outlining your steps?

My plan was to run 3dDecon with all the event regressors (200 in my case) and just output the coefficients (not all the model stats). Extract the beta series from that output for my ROI and then use that ROI beta series to run 3dregana on the whole brain beta series (and convert the output to r stats) to find regions of functional connectivity. Is this what others are doing?

Also, would the context-dependent correlation method described on Gang's AFNI page do something similar for me? If so, have others thought about how these methods differ (or are similar) and when one would be more appropriate than the other.

Many thanks,
Greg