Migraine is a heterogeneous disorder with variable symptoms and responsiveness to therapy. Due to previous analytic shortcomings, variance in migraine symptoms has been inconsistently related to brain function. In the current analysis we used data from two sites (n=143, male and female humans), and performed Canonical Correlation Analysis (CCA), relating resting-state functional connectivity (RSFC) with a broad range of migraine symptoms ranging from headache characteristics to sleep abnormalities. This identified three dimensions of covariance between symptoms and RSFC. The first dimension related to headache intensity, headache frequency, pain catastrophizing, affect, sleep disturbances, and somatic abnormalities, and was associated with frontoparietal and dorsal attention network connectivity, both of which are major cognitive networks. Additionally, RSFC scores from this dimension – both the baseline value and the change from baseline to post-intervention – were associated with responsiveness to mind-b...