Gomez-Pilar Javier, García-Azorín David, Gomez-Lopez-de-San-Roman Claudia, Guerrero Ángel L, Hornero Roberto
Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain.
Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, Spain.
Pain Med. 2020 Dec 25;21(12):3530-3538. doi: 10.1093/pm/pnaa117.
The analysis of particular (electroencephalographic) EEG frequency bands has revealed new insights relative to the neural dynamics that, when studying the EEG spectrum as a whole, would have remained hidden. This study is aimed at characterizing spectral resting state EEG patterns for assessing possible differences of episodic and chronic migraine during the interictal period. For that purpose, a novel methodology for analyzing specific frequencies of interest was performed.
Eighty-seven patients with migraine (45 with episodic and 42 with chronic migraine) and 39 age- and sex-matched controls performed a resting-state EEG recording. Spectral measures were computed using conventional frequency bands. Additionally, particular frequency bands were determined to distinguish between controls and migraine patients, as well as between migraine subgroups.
Frequencies ranging from 11.6 Hz to 12.8 Hz characterized migraine as a whole, with differences evident in the central and left parietal regions (controlling for false discovery rate). An additional band between 24.1 Hz and 29.8 Hz was used to discriminate between migraine subgroups. Interestingly, the power in this band was positively correlated with time from onset in episodic migraine, but no correlation was found for chronic migraine.
Specific frequency bands were proposed to identify the spectral characteristics of the electrical brain activity in migraine during the interictal stage. Our findings support the importance of discriminating between migraine subgroups to avoid hiding relevant features in migraine.
对特定(脑电图)脑电频段的分析揭示了与神经动力学相关的新见解,而这些见解在整体研究脑电图频谱时可能会被隐藏。本研究旨在表征静息态脑电图模式的频谱特征,以评估发作性和慢性偏头痛在发作间期的可能差异。为此,采用了一种分析特定感兴趣频率的新方法。
87例偏头痛患者(45例发作性偏头痛和42例慢性偏头痛)以及39例年龄和性别匹配的对照者进行了静息态脑电图记录。使用传统频段计算频谱测量值。此外,确定了特定频段以区分对照组和偏头痛患者,以及偏头痛亚组。
11.6赫兹至12.8赫兹的频率表征了整体偏头痛情况,在中央和左顶叶区域存在明显差异(控制错误发现率)。另一个24.1赫兹至29.8赫兹的频段用于区分偏头痛亚组。有趣的是,该频段的功率与发作性偏头痛发作后的时间呈正相关,但慢性偏头痛未发现相关性。
提出了特定频段以识别偏头痛发作间期大脑电活动的频谱特征。我们的研究结果支持区分偏头痛亚组以避免掩盖偏头痛相关特征的重要性。