Differences in topological properties of functional brain networks between menstrually-related and non-menstrual migraine without aura.
Yutong ZhangTao XuZiwen WangDehua LiJiarong DuYi WenYu ZhaoHuaqiang LiaoFanrong LiangLing ZhaoPublished in: Brain imaging and behavior (2021)
Menstrually-related migraine without aura refers to a specific type of migraine that is associated with the female ovarian cycle. Compared with non-menstrual migraine without aura, in menstrually-related migraine without aura, there are additional attacks of migraine outside of the menstrual period. Menstrually-related migraine without aura tends to be less responsive to acute treatment and more prone to relapse than non-menstrual migraine without aura. Currently menstrually-related migraine without aura is treated no differently from any other migraine but, the differences in the central mechanisms underlying menstrually-related migraine without aura and non-menstrual migraine without aura remain poorly understood. Here, using resting-state functional magnetic resonance imaging and graph theory approaches, we aimed to explore the differences in topological properties of functional networks in 51 menstrually-related migraine without aura patients and 47 non-menstrual migraine without aura patients. The major finding of our study was that significant differences in topological properties between the two groups were mainly evident in the nodal centrality of the inferior frontal gyrus and the thalamus. Nodal centrality in inferior frontal gyrus was negatively correlated with Headache Impact Test questionnaire scores in the menstrually-related migraine without aura patients. Partial least squares correlation analysis revealed enhanced correlations of inferior frontal gyrus to pain-related behavior in the non-menstrual migraine without aura group, while within the menstrually-related migraine without aura group these effects were non-significant. These results indicate that the regulatory mechanisms in the central nervous system may differ between the two subtypes of migraine. The results provide novel insights into the pathophysiology of different subtypes of migraine, and could help us to enhance their clinical diagnosis and treatment.
Keyphrases
- magnetic resonance imaging
- end stage renal disease
- resting state
- functional connectivity
- ejection fraction
- newly diagnosed
- chronic kidney disease
- transcription factor
- radiation therapy
- liver failure
- intensive care unit
- machine learning
- peritoneal dialysis
- drug delivery
- cross sectional
- neoadjuvant chemotherapy
- drug induced
- patient reported outcomes
- single cell
- spinal cord injury
- rectal cancer
- neuropathic pain
- locally advanced
- neural network
- free survival
- diffusion weighted imaging
- convolutional neural network