A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness.
A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness.
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意识障碍静息态脑电图分析综述
DOI：
10.3389/fneur.2017.00471
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发表时间：
2017
影响因子：
3.4
通讯作者：
Li X
中科院分区：
文献类型：
--
作者：
Bai Y;Xia X;Li X
近年来，神经影像学技术已发展成为评估意识障碍（DOC）患者大脑状况的重要方法。在这些技术中，静息态脑电（EEG）记录和分析由于其相对低的成本和方便性而被临床医生广泛应用。EEG反映了底层神经元的电活动，并且它包含关于神经元群体振荡、信息流通路和神经活动网络的信息。从脑电信号处理方法中提取的一些特征已经被提出来描述具有DOC的大脑的电特征。这些功能的计算是具有挑战性的临床医生工作，以理解相应的生理意义，然后把它们投入临床应用。本文综述了自发脑电图分析DOC的研究，目的是诊断，预后和脑干预措施的评价。本文的综述有助于加深对DOC脑电特征的认识。
Recently, neuroimaging technologies have been developed as important methods for assessing the brain condition of patients with disorders of consciousness (DOC). Among these technologies, resting-state electroencephalography (EEG) recording and analysis has been widely applied by clinicians due to its relatively low cost and convenience. EEG reflects the electrical activity of the underlying neurons, and it contains information regarding neuronal population oscillations, the information flow pathway, and neural activity networks. Some features derived from EEG signal processing methods have been proposed to describe the electrical features of the brain with DOC. The computation of these features is challenging for clinicians working to comprehend the corresponding physiological meanings and then to put them into clinical applications. This paper reviews studies that analyze spontaneous EEG of DOC, with the purpose of diagnosis, prognosis, and evaluation of brain interventions. It is expected that this review will promote our understanding of the EEG characteristics in DOC.
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