Journal of Clinical & Experimental Neuroimmunology
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  • Review Article   
  • JCENI,
  • DOI: 10.4172/jceni.1000123

Large-Scale Brain Networks Alterations in Migraine

Kirill Markin1*, Artem Trufanov1,2, Daria Frunza1 and Dmitriy Tarumov3
1Department of Neurology, Military Medical Academy, Saint-Petersburg, Russia
2University associated with IA EAEC, Saint-Petersburg, Russia
3Department of Radiology, Military Medical Academy, Saint-Petersburg, Russia
*Corresponding Author : Kirill Markin, Department of Neurology, Kirov Military Medical Academy, Academic Lebedev Street, 6, Saint-Petersburg,194044, Russia, Email: vmeda.work@ya.ru

Received Date: Dec 08, 2020 / Accepted Date: Jan 22, 2021 / Published Date: Dec 29, 2020

Abstract

Background: An increasing number of researches on large-scale brain network alterations among migraine patients has prompted us to make a brief review of them.

Methods: We performed a literature search for original articles reporting data from resting-state functional connectivity secondary analyses for migraine patients only or compared with healthy controls. This review includes only large-scale brain network studies among migraine patients within the last five years.

Results: We founded 16 studies, including two during the ictal period and 14 during the migraine interictal period. The most significant alterations among migraine patients were founded across Default Mode Network, Salience Network, Sensori Motor Network, Executive Control Network, Visual Network, and Dorsal Attention Network.

Conclusion: Large-scale brain networks FC studies could help reveal hidden pathophysiological mechanisms of the migraine. Methodological guidelines will significantly improve the reproduction and possibility of comparing the FC studies, enhancing their scientific and clinical contributions.

Keywords: Migraine; Functional connectivity; FMRI

Citation: Markin K, Trufanov A, Frunza D and Tarumov D. (2021) Large-Scale Brain Networks Alterations in Migraine. J Clin Exp Immunol. 6: 123 Doi: 10.4172/jceni.1000123

Copyright: © 2021 Markin K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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