Resting-state Quantitative EEG Spectral Patterns in Migraine During Ictal Phase Reveal Deviant Brain Oscillations: Potential Role of Density Spectral Array.

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-05-01 Epub Date: 2022-12-06 DOI:10.1177/15500594221142951
Pooja Ojha, Samhita Panda
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Abstract

Background. Migraine headache may have a substantial bearing on the brain functions and rhythms. Electrophysiological methods can detect changes in brain oscillation. The present work examined the frequency band power through quantitative electroencephalogram (qEEG) and density spectral array (DSA) to elucidate the resting state neuronal oscillations in migraine. Methods. Clinical details were inquired, and EEG was recorded in migraineurs and healthy controls. The acquired data were analyzed to determine power spectral density values and obtain DSA graphs. The absolute and relative powers for the alpha, theta, and delta frequencies in frontocentral, parieto-occipital, and temporal regions were determined. A correlation of significant EEG findings with clinical features of migraine was sought. Results. Forty-five participants were enrolled in the study. The spectrum analysis revealed an increase in the relative theta power (P < .001) and a reduction in relative alpha power (P < .001) in the observed cortical areas among the migraineurs as compared to the healthy controls. Relative delta power was increased over the frontocentral region (P = .001), slightly more on the symptomatic side of the head. In addition, frontocentral delta power had a moderate positive correlation (r = .697, n = 22, P = .000) with migraine severity. Conclusion. The study supports the evidence of a neuronal dysfunction existing in the resting state during the ictal phase of migraine. qEEG can reveal these aberrant oscillations. Utility of DSA to depict the changes in brain activity in migraine is a potential area for research. The information can help formulate new therapeutic strategies towards alteration in cortical excitability using brain stimulation techniques.

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偏头痛的静息态定量脑电图频谱模式揭示了偏离的大脑振荡:密度谱阵列的潜在作用。
背景。偏头痛可能对大脑功能和节律有很大影响。电生理方法可以检测大脑振荡的变化。本研究通过定量脑电图(qEEG)和密度谱阵列(DSA)检测频带功率,以阐明偏头痛患者的静息状态神经元振荡。研究方法询问偏头痛患者和健康对照组的临床详情,并记录他们的脑电图。对采集的数据进行分析,以确定功率谱密度值并获得 DSA 图形。确定了前中央区、顶枕区和颞区的α、θ和δ频率的绝对功率和相对功率。研究人员寻求了重要脑电图结果与偏头痛临床特征之间的相关性。研究结果45 名参与者参加了研究。频谱分析显示,相对θ功率增加(P P P = .001),有症状的一侧头部θ功率略有增加。此外,前中心德尔塔功率与偏头痛严重程度呈中度正相关(r = .697, n = 22, P = .000)。结论该研究支持偏头痛发作期静息状态下存在神经元功能障碍的证据。利用DSA描述偏头痛患者大脑活动的变化是一个潜在的研究领域。这些信息有助于制定新的治疗策略,利用脑刺激技术改变大脑皮层的兴奋性。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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