Perturbation of Brain Oscillations after Ischemic Stroke: A Potential Biomarker for Post-Stroke Function and Therapy.
Perturbation of Brain Oscillations after Ischemic Stroke: A Potential Biomarker for Post-Stroke Function and Therapy.
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DOI：
10.3390/ijms161025605
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发表时间：
2015-10-26
影响因子：
5.6
通讯作者：
Liu J
中科院分区：
文献类型：
--
作者：
Rabiller G;He JW;Nishijima Y;Wong A;Liu J
脑电波从电流发生器产生共振，并以0.05至500 Hz的振荡频率在大脑区域传播。正常成年人的脑电图（EEG）记录的常见振荡波可根据频率和振幅分为五大类，即δ（1-4 Hz，20-200 μV）、θ（4-8 Hz，10 μV）、α（8-12 Hz，20-200 μV）、β（12-30 Hz，5-10 μV）和γ（30-80 Hz，低振幅）。来自实验和人类研究的新证据表明，功能和行为组似乎与每个振荡带的存在特别相关，尽管振荡频率和功能之间的复杂关系以及大脑振荡之间的相互作用还远不清楚。脑振荡模式的变化长期以来一直与包括缺血性中风在内的中枢神经系统疾病有关，其中脑血流量的减少以及组织损伤的进展对几个振荡带的功率及其相互作用具有直接的时空效应。这篇综述总结了目前的知识与每个脑振荡的行为和功能，也在特定的脑电活动的变化，对应的分子事件和功能改变后观察到的实验和人类中风。我们提供的基础上的几代脑振荡和潜在的细胞和分子机制中风引起的扰动。我们还将讨论使用脑振荡模式作为生物标志物预测中风结局和治疗效果的影响。
Brain waves resonate from the generators of electrical current and propagate across brain regions with oscillation frequencies ranging from 0.05 to 500 Hz. The commonly observed oscillatory waves recorded by an electroencephalogram (EEG) in normal adult humans can be grouped into five main categories according to the frequency and amplitude, namely δ (1–4 Hz, 20–200 μV), θ (4–8 Hz, 10 μV), α (8–12 Hz, 20–200 μV), β (12–30 Hz, 5–10 μV), and γ (30–80 Hz, low amplitude). Emerging evidence from experimental and human studies suggests that groups of function and behavior seem to be specifically associated with the presence of each oscillation band, although the complex relationship between oscillation frequency and function, as well as the interaction between brain oscillations, are far from clear. Changes of brain oscillation patterns have long been implicated in the diseases of the central nervous system including ischemic stroke, in which the reduction of cerebral blood flow as well as the progression of tissue damage have direct spatiotemporal effects on the power of several oscillatory bands and their interactions. This review summarizes the current knowledge in behavior and function associated with each brain oscillation, and also in the specific changes in brain electrical activities that correspond to the molecular events and functional alterations observed after experimental and human stroke. We provide the basis of the generations of brain oscillations and potential cellular and molecular mechanisms underlying stroke-induced perturbation. We will also discuss the implications of using brain oscillation patterns as biomarkers for the prediction of stroke outcome and therapeutic efficacy.