Department of Methodology and Applied Biostatistics, Faculty of Beta Science, VU University Amsterdam, Amsterdam, The Netherlands.
Department of Clinical Neurophysiology and MEG Centre, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
Brain Connect. 2020 Jun;10(5):224-235. doi: 10.1089/brain.2019.0705. Epub 2020 Jun 3.
Migraine is a common disorder with high social and medical impact. Patients with migraine have a much higher chance of experiencing headache attacks compared with the general population. Recent neuroimaging studies have confirmed that pathophysiology in the brain is not only limited to the moment of the attack but is also present in between attacks, the interictal phase. In this study, we hypothesized that the topology of functional brain networks is also different in the interictal state, compared with people who are not affected by migraine. We also expected that the level of network disturbances scales with the number of years people have suffered from migraine. Functional connectivity between 78 cortical brain regions was estimated for source-level magnetoencephalography data by calculating the phase lag index, in five frequency bands (delta-beta), and compared between healthy controls ( = 24) and patients who had been suffering from migraine for longer than 6 years ( = 12) or shorter than 6 years ( = 12). Moreover, the topology of the functional networks was characterized using the minimum spanning tree. The migraine groups did not differ from each other in functional connectivity. However, the network topology was different compared with healthy controls. The results were frequency specific, and higher average nodal betweenness centrality was specifically evident in higher frequency bands in patients with longer disease duration, while an opposite trend was present for lower frequencies. This study shows that patients with migraine have a different network topology in the resting state compared with healthy controls, whereby specific brain areas have altered topological roles in a frequency-specific manner. Some alterations appear specifically in patients with long-term migraine, which might show the long-term effects of the disease.
偏头痛是一种常见的疾病,具有较高的社会和医学影响。与一般人群相比,偏头痛患者发生头痛发作的几率要高得多。最近的神经影像学研究证实,大脑的病理生理学不仅局限于发作时刻,也存在于发作之间的间歇期。在这项研究中,我们假设与不受偏头痛影响的人相比,间歇期的功能性大脑网络拓扑结构也不同。我们还预计,网络干扰的程度与偏头痛患者的患病年限成正比。通过计算相位滞后指数,我们对源水平脑磁图数据的 78 个皮质脑区之间的功能连接进行了估计,比较了健康对照组(n=24)和偏头痛患病时间超过 6 年的患者组(n=12)以及患病时间少于 6 年的患者组(n=12)之间的功能连接。此外,我们还使用最小生成树来描述功能网络的拓扑结构。偏头痛组之间的功能连接没有差异。然而,与健康对照组相比,网络拓扑结构不同。结果具有频率特异性,在较长疾病持续时间的患者中,较高的平均节点介数中心度在较高的频率带中更为明显,而在较低的频率带中则呈现相反的趋势。这项研究表明,与健康对照组相比,偏头痛患者在静息状态下具有不同的网络拓扑结构,其中特定的脑区以特定频率的方式具有改变的拓扑作用。一些改变仅出现在长期偏头痛患者中,这可能显示了疾病的长期影响。