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Hi Jayci, I suspect you've used the dual regression for the group comparison (i.e., versus the controls). The same strategy applies to correlation with continuous scores. You'd change the design matrix so that instead of comparing subjects, you'd be relating the MMSE with the RSNs, possibly taking group indicator as a nuisance, and possibly testing for interactions. Please, see some examples in the GLM manual at this link: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM All the best, Anderson On 14 October 2015 at 08:10, Jayci Huang < [log in to unmask]> wrote: > Hi FSL experts, > I was wondering how to do a correlation analysis between subjects' > RSNs functional connectivity and test scores. For example I've got 10 > subjects and has identified 12 resting-state networks using melodic ICA, > one of them showed significant reduced functional connectivity compared to > health controls, now how can I do to find out if this reduction positively > or negatively correlates with i.e. MMSE scores? Can I achieve this within > FSL or how can I extract the data (values) needed and do analysis in other > statistic softwares? > Generally thinking we'll be needing each subject's specific network > (component) data and corresponding MMSE score, so which value in the ICA or > dual regression output is the one that represents functional connectivity? > > A lot questions.. > Thank you in advance. > > Sincerely, > Jayci >