Department of Neurology, School of Medicine and Health, Technical University of Munich (TUM), Ismaninger Str. 22, 81675, Munich, Germany.
TUM-Neuroimaging Center, School of Medicine and Health, TUM, Munich, Germany.
J Headache Pain. 2024 Sep 11;25(1):147. doi: 10.1186/s10194-024-01857-5.
Magnetoencephalography/electroencephalography (M/EEG) can provide insights into migraine pathophysiology and help develop clinically valuable biomarkers. To integrate and summarize the existing evidence on changes in brain function in migraine, we performed a systematic review and meta-analysis (PROSPERO CRD42021272622) of resting-state M/EEG findings in migraine. We included 27 studies after searching MEDLINE, Web of Science Core Collection, and EMBASE. Risk of bias was assessed using a modified Newcastle-Ottawa Scale. Semi-quantitative analysis was conducted by vote counting, and meta-analyses of M/EEG differences between people with migraine and healthy participants were performed using random-effects models. In people with migraine during the interictal phase, meta-analysis revealed higher power of brain activity at theta frequencies (3-8 Hz) than in healthy participants. Furthermore, we found evidence for lower alpha and beta connectivity in people with migraine in the interictal phase. No associations between M/EEG features and disease severity were observed. Moreover, some evidence for higher delta and beta power in the premonitory compared to the interictal phase was found. Strongest risk of bias of included studies arose from a lack of controlling for comorbidities and non-automatized or non-blinded M/EEG assessments. These findings can guide future M/EEG studies on migraine pathophysiology and brain-based biomarkers, which should consider comorbidities and aim for standardized, collaborative approaches.
脑磁图/脑电图(M/EEG)可以深入了解偏头痛的病理生理学,并有助于开发具有临床价值的生物标志物。为了整合和总结偏头痛患者大脑功能变化的现有证据,我们对偏头痛的静息态 M/EEG 研究进行了系统评价和荟萃分析(PROSPERO CRD42021272622)。我们在 MEDLINE、Web of Science Core Collection 和 EMBASE 上搜索后,纳入了 27 项研究。使用改良的 Newcastle-Ottawa 量表评估偏倚风险。通过投票计数进行半定量分析,并使用随机效应模型对偏头痛患者与健康参与者之间的 M/EEG 差异进行荟萃分析。在偏头痛患者的间歇期,荟萃分析显示大脑活动的θ频(3-8 Hz)功率高于健康参与者。此外,我们发现偏头痛患者在间歇期的α和β连通性较低。M/EEG 特征与疾病严重程度之间没有关联。此外,还发现与间歇期相比,前驱期的δ和β功率较高。纳入研究的最大偏倚风险来自于缺乏对合并症的控制以及非自动化或非盲的 M/EEG 评估。这些发现可以指导偏头痛病理生理学和基于大脑的生物标志物的未来 M/EEG 研究,这些研究应考虑合并症,并旨在采用标准化、协作的方法。