Hi Tamir,

Sorry that cannot be done simply from the GUI, but you could compute those average-correlation measures using something like:


Maskfile = '/data/mymask.nii'; % ROI mask; this file should containing 0/1 values with same dimensions as functional data (e.g. [91 109 91])

AvgR = [];
MASK = spm_read_vols(spm_vol(Maskfile)); 
for nsub=1:conn_module('get','Setup.nsubjects')
   a = conn_vol(fullfile(conn_prepend('',conn_module('get','filename'),''), 'results','preprocessing',sprintf('vvPC_Subject%03d_Condition001.mat',nsub)));
   b = conn_get_volume(a);
   AvgR(nsub) = norm(b*MASK(a.voxels))^2/nnz(MASK(a.voxels))^2;
end

where the variable AvgR will be a vector (one value per subject) with the average correlation among all voxels specified by the mask file (like Global Correlation, but within a mask).

Hope this helps
Alfonso

Originally posted by Tamir Eisenstein: