Hi - I am delighted to see this toolbox has been released and am very excited to try it on my own data. I typically work within FSL but there is no deconvolution algorithm of this kind available in that package.

As an FSL user, how should I go about doing my deconvolution with this package, so that I can then actually conduct the gPPI analysis within FSL? Do I actually need to redo my first-level analyses in SPM, or is there a way for me to get the deconvolution step done without going to all that trouble? Short of switching to SPM altogether, what would you recommend?

Thanks for any help,
-Chris

Chris,

Sorry for the delayed response. I'll also repost on the FSL/SPM lists.

As an FSL user you have 2 options: 

(1) Form a series of interactions, 1 for each condition by multiplying the condition by the seed region. Then form the model using N interaction terms, N task regressors, the seed region regressor, and any covariates you had in the original task model. This is the same model as gPPI without the deconvolution step.

(2) Redo the first-level analysis in SPM.

The issue isn't so much doing the deconvolution as much as that the deconvolution portion is heavily integrated into the code.

As far as I know, no one has looked at the effect of deconvolution on event-related PPI.

Hope this helps.