1 Department of Neurology, Mayo Clinic, Arizona, AZ, USA.
2 Danish Headache Center and Department of Neurology, Rigshospitalet Glostrup, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
J Cereb Blood Flow Metab. 2019 Apr;39(4):650-669. doi: 10.1177/0271678X17740794. Epub 2017 Nov 20.
Resting-state functional magnetic resonance imaging (rs-fMRI) is used to interrogate the functional connectivity and network organization amongst brain regions. Functional connectivity is determined by measuring the extent of synchronization in the spontaneous fluctuations of blood oxygenation level dependent (BOLD) signal. Here, we review current rs-fMRI studies in headache disorders including migraine, trigeminal autonomic cephalalgias, and medication overuse headache. We discuss (1) brain network alterations that are shared amongst the different headache disorders and (2) network abnormalities distinct to each headache disorder. In order to focus the section on migraine, the headache disorder that has been most extensively studied, we chose to include articles that interrogated functional connectivity: (i) during the attack phase; (ii) in migraine patients with aura compared to migraine patients without aura; and (iii) of regions within limbic, sensory, motor, executive and default mode networks and those which participate in multisensory integration. The results of this review show that headache disorders are associated with atypical functional connectivity of regions associated with pain processing as well as atypical functional connectivity of multiple core resting state networks such as the salience, sensorimotor, executive, attention, limbic, visual, and default mode networks.
静息态功能磁共振成像（rs-fMRI）用于探究大脑区域之间的功能连接和网络组织。功能连接通过测量血氧水平依赖（BOLD）信号自发波动的同步程度来确定。在这里，我们回顾了头痛障碍（包括偏头痛、三叉自主神经性头痛和药物过度使用性头痛）的当前 rs-fMRI 研究。我们讨论了（1）不同头痛障碍之间共享的脑网络改变，以及（2）每种头痛障碍特有的网络异常。为了将重点放在偏头痛上，偏头痛是研究最广泛的头痛障碍，我们选择了探讨功能连接的文章：（i）在发作期间；（ii）有先兆偏头痛患者与无先兆偏头痛患者相比；（iii）研究边缘、感觉、运动、执行和默认模式网络内的区域以及参与多感觉整合的区域。本综述的结果表明，头痛障碍与与疼痛处理相关的区域的异常功能连接以及多个核心静息态网络（如显着性、感觉运动、执行、注意力、边缘、视觉和默认模式网络）的异常功能连接有关。
