Migraine is a chronic dysfunction characterized by recurrent pain, but its pathogenesis is still unclear. As a result, more and more methods have been focused on the study of migraine in recent years, including functional magnetic resonance imaging (fMRI), which is a mainstream technique for exploring the neural mechanisms of migraine. In this paper, we systematically investigated the fMRI functional connectivities (FCs) between large-scale brain networks in migraine patients from the perspective of multi-channel hierarchy, including static and dynamic FCs of group and individual levels, where the brain networks were obtained using group independent component analysis. Meanwhile, the corresponding topology properties of static and dynamic FCs networks in migraine patients were statistically compared with those in healthy controls. Furthermore, a graph metrics based method was used to detect the potential brain functional connectivity states in dynamic FCs at individual and group levels, and the corresponding topology properties and specificity of these brain functional connectivity states in migraine patients were explored compared with these in healthy controls. The results showed that the dynamic FCs and corresponding global topology properties among nine large-scale brain networks involved in this study have significant differences between migraine patients and healthy controls, while local topological properties and dynamic fluctuations were easily affected by window-widths. Moreover, the implicit dynamic functional connectivity patterns in migraine patients presented specificity and consistency under different window-widths, which suggested that the dynamic changes in FCs and topology structure between them played a key role in the brain functional activity of migraine. Therefore, it may be provided a new perspective for the clinical diagnosis of migraine.

偏头痛是一种以复发性疼痛为特征的慢性功能障碍，但其发病机理仍不清楚。结果，近年来，越来越多的方法致力于偏头痛的研究，包括功能磁共振成像（fMRI），这是探索偏头痛神经机制的主流技术。在本文中，我们从多通道层次结构的角度系统地研究了偏头痛患者大规模脑网络之间的功能磁共振成像功能连通性（FC），包括组和个人水平的静态和动态FC，其中使用组独立成分分析。同时，将偏头痛患者的静态和动态FCs网络的相应拓扑属性与健康对照组进行统计学比较。此外，使用基于图形指标的方法在个体和组水平上检测动态FC中潜在的脑功能连接状态，并与健康对照相比探索了偏头痛患者中这些脑功能连接状态的相应拓扑结构特性和特异性。结果表明，本研究涉及的九个大型脑网络中的动态FC和相应的全局拓扑属性在偏头痛患者和健康对照之间存在显着差异，而局部拓扑属性和动态波动很容易受到窗口宽度的影响。此外，偏头痛患者的隐式动态功能连接模式在不同的窗口宽度下表现出特异性和一致性，这表明FC和它们之间的拓扑结构的动态变化在偏头痛的大脑功能活动中起着关键作用。因此，可以为偏头痛的临床诊断提供新的思路。