Hi Constantin,

I am unsure what you mean by "if you introduce one this modifies the connectivity cards", could you please clarify? In general you may enter any subject-level variable in CONN as a new second-level covariate (in Setup.CovariatesSecondLevel define a new covariate, e.g. named 'scores', and enter there the corresponding values for each subject). If you later want to analyze the association between functional connectivity and your 'scores' variable simply go to the second-level results tab, select 'AllSubjects' and 'Scores' in the subject-effects list, and enter a [0 1] between-subjects contrast (or equivalently select the contrast named 'Effect of Score'). That will compute a regression analysis looking at the association between connectivity values and 'score' values. The description above applies to all forms of connectivity measures, including connectivity matrices (in the ROI-to-ROI second-level results tab), connectivity maps (in the seed-to-voxel second-level results tab), graph-theoretical measures (in the ROI-to-ROI second-level results selecting the 'graph theory' button), etc.

Hope this helps
Alfonso

ps. for future reference, when posting CONN-related questions please consider using the 'NITRC CONN' forum (go to http://www.nitrc.org/projects/conn and select 'support' or 'forum' there) instead of this more general 'NITRC community' forum (posts there have a better chance of standing out to some of the CONN developers or users, and you can more easily search there for previous questions that may relate to your current CONN-related problem/question/thoughts). Hope this helps

Originally posted by Constantin Tuleasca: