Lee MJ, et al. - Using dynamic functional connectivity analysis, the functional characteristics of the migraine brain were investigated; these were assessed regardless of headache phase. Fifty patients with migraine and 50 age- and gender-matched controls were made to undergo a resting-state functional magnetic resonance imaging. Researchers defined significant networks in a data-driven fashion from the interictal (> 48 hours apart from headache phases) patients and matched controls (interictal data set). As per the static analysis, no significant network existed in both interictal and ictal/peri-ictal data sets. As per dynamic analysis, there were significant between-group differences in 7 brain networks in the interictal data set, among which a frontoparietal network, 2 brainstem networks, and a cerebellar network remained significant in the ictal/peri-ictal data set. In conclusion, more functional networks related to migraine were identified in the dynamic connectivity analysis than the conventional static analysis. This implies a substantial temporal fluctuation in functional characteristics. Further, migraine-related networks were identified which exhibit significant difference regardless of headache phases between patients and controls.