2020
DOI: 10.1177/0333102420933263
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Insights into chronic migraine pathophysiology – what measures of gray matter reveal

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Cited by 2 publications
(3 citation statements)
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“…We appreciate DeSouza et al.’s interest in and comments (1) on our study (2) and find the results from their recent study of great interest (3). In their study, in addition to conventional volume and thickness-based measures, a graph-theoretical approach was used to delineate differences in structural covariance networks between patients with chronic migraine (CM) and healthy controls (HC).…”
mentioning
confidence: 72%
See 1 more Smart Citation
“…We appreciate DeSouza et al.’s interest in and comments (1) on our study (2) and find the results from their recent study of great interest (3). In their study, in addition to conventional volume and thickness-based measures, a graph-theoretical approach was used to delineate differences in structural covariance networks between patients with chronic migraine (CM) and healthy controls (HC).…”
mentioning
confidence: 72%
“…The authors received no financial support for the research, authorship, and/or publication of this article. Kuan-Lin Lai 1,2,3,4 , David M Niddam 4,5 Jong-Ling Fuh 1,2,4 , Wei-Ta Chen 1,2,4,5 Jaw-Ching Wu 3,6 and Shuu-Jiun Wang 1,2,4…”
Section: Fundingmentioning
confidence: 99%
“…Chronicity of migraine accounts for approximately 2.5% of episodic migraines annually, and its neuromechanism remains unknown. 6 Cerebral gray matter plays an important role in the pathophysiology of CM, 7 and the previous study demonstrated that gray matter was associated with pain sensitivity, 8 which was common in chronic pain. Advanced functional imaging studies have shown that functional connectivity changed in cortex 9,10 and deep nuclei [9][10][11][12][13][14] was altered in both the interictal and ictal phases of migraine, and further structural imaging studies also indicated significantly abnormal gray matter volumes in migraine.…”
Section: Introductionmentioning
confidence: 97%