Hi Doug, it would be great if you could give me some further advise on the group analysis of functional connectivity maps. Specifically, I am trying to get PCC maps for certain seeds, and am not planning any comparison between groups. Following your previous advise, I am running isxconcat-sess with -m pcc to get the PCC maps. I would then run
mri_glmfit \ --surf averagesubject hemisphere \ --y pcc.nii \ --no-cortex \ --osgm \ --glmdir analysisname
*Could you please provide some more detail on what kind of analysis is performed when I provide pcc.nii as an input for mri_glmfit? Is it a t-test of the Fisher-transformed r-values against 0? *Is the average r-value or z-value saved somewhere? *Do you take the autocorrelation into account (as in Vincent JL et al., 2007. Intrinsic functional architecture in the anaesthetized monkey brain. Nature. 447:83-86)? I'd also be happy to look this up but I'd need to know where I can find this information.
Thanks, Caspar