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)?