Dynamic functional connectivity of the migraine brain: A resting-state functional magnetic resonance imaging study
Pain Nov 27, 2019
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.
Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
-
Exclusive Write-ups & Webinars by KOLs
-
Daily Quiz by specialty
-
Paid Market Research Surveys
-
Case discussions, News & Journals' summaries