基于复杂网络的偏头痛患者脑功能连通性研究

Brain Functional Connectivity in Patients with Migraine Based on Complex Networks Analysis

目的应用图理论构建静息态脑功能复杂网络,研究偏头痛患者与正常人之间的网络拓扑结构差异。资料与方法获取22例偏头痛患者(研究组)和22例正常人(对照组)的静息态脑功能MRI数据,分别构建两组的脑功能复杂网络,计算和比较两组复杂网络的平均聚类系数、特征路径长度、小世界性、同配性、介数中心度等测度参数。结果与对照组相比,研究组患者的静息态功能复杂网络的平均聚类系数较大,小世界性与同配性等拓扑测度发生改变,尾状核、豆状壳核等节点特征路径长度发生异常,部分区域(如丘脑、枕下回、枕中回)的介数中心度明显增大。结论偏头痛患者静息态脑功能网络中发生异常的区域与大脑的疼痛处理、视觉处理以及感觉中继有关,本研究发现有助于更好地解释偏头痛的相关临床病症。

Purpose To investigate the topological structure differences between the migraine patients group and the normal control group by using resting-state brain complex networks constructed based on graph theory. Materials and Methods Resting- state functional magnetic resonance imaging dataset were obtained from 22 migraine patients and 22 normal subjects. The functional complex networks of the two groups were constructed, and parameters including average clustering coefficient, characteristic path length, small worldness, assortativity, and betweenness of the two groups were respectively calculated. Results When compared with the parameters of normal control group, average clustering coefficient of migraine patients group was larger, small worldness and assortativity were also changed. The characteristic path length of the caudate nucleus and putamen areas presented abnormal in the migraine patients group. Betweenness centrality of the thalamus, inferior occipital gyrus and occipital gyrus increased in the migraine patients group. Conclusion The abnormal brain regions in the migraine patients group were mainly associated with pain processing, visual processing and sensory information relay. This study may contribute to better understanding and interpreting corresponding clinical condition of migraine