Hu Su, Hao Zeqi, Li Mengting, Zhao Mengqi, Wen Jianjie, Gao Yanyan, Wang Qing, Xi Hongyu, Antwi Collins Opoku, Jia Xize, Ren Jun
School of Psychology, Zhejiang Normal University, Jinhua, China.
Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
Front Neurosci. 2023 Mar 1;17:1136790. doi: 10.3389/fnins.2023.1136790. eCollection 2023.
Migraine-a disabling neurological disorder, imposes a tremendous burden on societies. To reduce the economic and health toll of the disease, insight into its pathophysiological mechanism is key to improving treatment and prevention. Resting-state functional magnetic resonance imaging (rs-fMRI) studies suggest abnormal functional connectivity (FC) within the default mode network (DMN) in migraine patients. This implies that DMN connectivity change may represent a biomarker for migraine. However, the FC abnormalities appear inconsistent which hinders our understanding of the potential neuropathology. Therefore, we performed a meta-analysis of the FC within the DMN in migraine patients in the resting state to identify the common FC abnormalities. With efficient search and selection strategies, nine studies (published before July, 2022) were retrieved, containing 204 migraine patients and 199 healthy subjects. We meta-analyzed the data using the Anisotropic Effect Size version of Signed Differential Mapping (AES-SDM) method. Compared with healthy subjects, migraine patients showed increased connectivity in the right calcarine gyrus, left inferior occipital gyrus, left postcentral gyrus, right cerebellum, right parahippocampal gyrus, and right posterior cingulate gyrus, while decreased connectivity in the right postcentral gyrus, left superior frontal gyrus, right superior occipital gyrus, right orbital inferior frontal gyrus, left middle occipital gyrus, left middle frontal gyrus and left inferior frontal gyrus. These results provide a new perspective for the study of the pathophysiology of migraine and facilitate a more targeted treatment of migraine in the future.
偏头痛——一种使人致残的神经系统疾病,给社会带来了巨大负担。为了降低该疾病对经济和健康造成的损失,深入了解其病理生理机制是改善治疗和预防的关键。静息态功能磁共振成像(rs-fMRI)研究表明,偏头痛患者默认模式网络(DMN)内存在功能连接(FC)异常。这意味着DMN连接性变化可能是偏头痛的一个生物标志物。然而,FC异常表现并不一致,这阻碍了我们对潜在神经病理学的理解。因此,我们对静息状态下偏头痛患者DMN内的FC进行了荟萃分析,以确定常见的FC异常。通过有效的检索和筛选策略,我们检索到9项研究(2022年7月之前发表),其中包括204例偏头痛患者和199例健康受试者。我们使用各向异性效应量版本的符号差异映射(AES-SDM)方法对数据进行了荟萃分析。与健康受试者相比,偏头痛患者右侧距状回、左侧枕下回、左侧中央后回、右侧小脑、右侧海马旁回和右侧后扣带回的连接性增加,而右侧中央后回、左侧额上回、右侧枕上回、右侧眶额下回、左侧枕中回、左侧额中回和左侧额下回的连接性降低。这些结果为偏头痛病理生理学的研究提供了新的视角,并有助于未来更有针对性地治疗偏头痛。