From the Department of Medico-Surgical Sciences and Biotechnologies (G. Coppola, M.S., F.P.), Sapienza University of Rome Polo Pontino, Latina; Research Unit of Neurophysiology of Vision and Neuroophthalmology (A.D.R., V.P.), IRCCS-Fondazione Bietti; Department of Human Neurosciences (B.P., E.T., V.C., S.T., G. Cartocci, F.C., V.D.P.), Sapienza University of Rome; Don Carlo Gnocchi Onlus Foundation (C.D.L.), Milan, Italy; Headache Research Unit, University Department of Neurology CHR (J.S.), Citadelle Hospital, University of Liège, Belgium; and IRCCS-Neuromed (F.P.), Pozzilli, Italy.
Neurology. 2019 May 28;92(22):e2550-e2558. doi: 10.1212/WNL.0000000000007577. Epub 2019 May 3.
We investigated resting-state (RS)-fMRI using independent component analysis (ICA) to determine the functional connectivity (FC) between networks in chronic migraine (CM) patients and their correlation with clinical features.
Twenty CM patients without preventive therapy or acute medication overuse underwent 3T MRI scans and were compared to a group of 20 healthy controls (HC). We used MRI to collect RS data in 3 selected networks, identified using group ICA: the default mode network (DMN), the executive control network (ECN), and the dorsal attention system (DAS).
Compared to HC, CM patients had significantly reduced functional connectivity between the DMN and the ECN. Moreover, in patients, the DAS showed significantly stronger FC with the DMN and weaker FC with the ECN. The higher the severity of headache, the increased the strength of DAS connectivity, and the lower the strength of ECN connectivity.
These results provide evidence for large-scale reorganization of functional cortical networks in chronic migraine. They suggest that the severity of headache is associated with opposite connectivity patterns in frontal executive and dorsal attentional networks.
我们通过独立成分分析(ICA)对静息态(RS)-fMRI 进行研究,以确定慢性偏头痛(CM)患者网络间的功能连接(FC)及其与临床特征的相关性。
20 名未经预防性治疗或急性药物滥用的 CM 患者接受了 3T MRI 扫描,并与 20 名健康对照组(HC)进行了比较。我们使用 MRI 从 3 个选定的网络中采集 RS 数据,这些网络是通过组 ICA 确定的:默认模式网络(DMN)、执行控制网络(ECN)和背侧注意系统(DAS)。
与 HC 相比,CM 患者 DMN 和 ECN 之间的功能连接明显降低。此外,在患者中,DAS 与 DMN 的 FC 明显增强,与 ECN 的 FC 明显减弱。头痛的严重程度越高,DAS 连接的强度越大,ECN 连接的强度越低。
这些结果为慢性偏头痛中皮质功能网络的大规模重组提供了证据。它们表明,头痛的严重程度与额叶执行和背侧注意力网络的相反连接模式有关。