Dear Heidi,

I see what you mean. Just as a quick note you should be able to easily export and/or import multiple ROI-to-ROI correlations (e.g. in the Setup tab you may select multiple second-level covariates and then click on the 'export to file' button to save all of those simultaneously to a single file; similarly in the Results tab you may select multiple Seed and Target ROIs and click on 'import values' to simultaneously import all of those connections). In any way, a more automatic way to get all of these correlations for all ROI pairs would be to use the following script to convert the .mat file which contains all of those correlations to a .csv file that you may be able to read from excel or other software packages.

filename = '/data/conn_myproject/results/firstlevel/ANALYSIS_01/resultsROI_Condition001.mat'; % change this to your project/analysis folder
load(filename,'Z','names','names2'); % Z is a ROIs x ROIs x Subjects 3d matrix of Fisher-transformed correlation coefficients (for default weighted-GLM correlation analyses)

% write .csv data
fh = fopen(conn_prepend('',filename,'.csv'),'wt');
% write header entries
for nroi1=1:numel(names)
  for nroi2=1:numel(names)
      fprintf(fh,'connectivity between %s and %s,',names{nroi1},names2{nroi2});
  end
end
fprintf(fh,'\n');
% write data entries
for nsub=1:size(Z,3)
for nroi1=1:numel(names)
for nroi2=1:numel(names)
fprintf(fh,'%f,',Z(nroi1,nroi2,nsub));
end
end
fprintf(fh,'\n');
end
fclose(fh);


Hope this helps
Alfonso

Originally posted by Heidi Jacobs: