Multi-frequency magnetoencephalography study on alterations of resting-state neural networks in females with migraine at attack stage
- VernacularTitle:女性偏头痛患者发作期静息态神经网络的多频段脑磁图研究
- Author:
Di WU
;
Qingshan GUAN
;
Xiaoshan WANG
- Publication Type:Journal Article
- Keywords:
migraine;
magnetoencephalography;
neural network;
functional connectivity;
resting-state
- From:
Journal of Clinical Neurology
2016;29(2):81-84
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the alterations of resting-state neural networks in females with migraine at attack stage in low-and high-frequency ranges compared to healthy controls. Methods Resting-state magnetoencephalography data from 20 females with migraine ( migraine group ) and 20 age-and gender-matched healthy controls ( control group ) were collected to compute the neural network parameters through graph theory analysis.Independent samples t test was used to compare the difference of the network parameters between the two groups.The Pearson coefficient was used to assess the relationship between the abnormal network parameters and clinical manifestations of migraine.Results Compared with control group, females in migraine group at attack stage showed increased functional connectivity in the 0.1 -1 Hz, 4 -8 Hz, 12 -30 Hz, 30 -80 Hz band; increased shortest path length in the 80-250 Hz band; increased clustering coefficient and degree in the 0.1 -1 Hz band;decreased clustering coefficient and degree in the 4 -8 Hz, 12 -30 Hz band ( P<0.05 -0.01 ) .The functional connectivity of females with migraine at attack stage was positively correlated with number of years with migraine in the 12-30 Hz ( r=0.56, P=0.01 ) .Conclusion These results indicate that inherent neural networks are significantly impaired in low-and high-frequency ranges in females with migraine at attack stage and may contribute to the clinical manifestations of this disorder.
