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非经典微状态在丙泊酚诱导意识改变状态的高密度 EEG 中变得显著。

Non-Canonical Microstate Becomes Salient in High Density EEG During Propofol-Induced Altered States of Consciousness.

机构信息

The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi 710049, P. R. China.

National Engineering Research Center for Healthcare Devices, Guangzhou, Guangdong 510500, P. R. China.

出版信息

Int J Neural Syst. 2020 Feb;30(2):2050005. doi: 10.1142/S0129065720500057. Epub 2020 Jan 23.

Abstract

Dynamically assessing the level of consciousness is still challenging during anesthesia. With the help of Electroencephalography (EEG), the human brain electric activity can be noninvasively measured at high temporal resolution. Several typical quasi-stable states are introduced to represent the oscillation of the global scalp electric field. These so-called microstates reflect spatiotemporal dynamics of coherent neural activities and capture the switch of brain states within the millisecond range. In this study, the microstates of high-density EEG were extracted and investigated during propofol-induced transition of consciousness. To analyze microstates on the frequency domain, a novel microstate-wise spectral analysis was proposed by the means of multivariate empirical mode decomposition and Hilbert-Huang transform. During the transition of consciousness, a map with a posterior central maximum denoted as microstate F appeared and became salient. The current results indicated that the coverage, occurrence, and power of microstate F significantly increased in moderate sedation. The results also demonstrated that the transition of brain state from rest to sedation was accompanied by significant increase in mean energy of all frequency bands in microstate F. Combined with studies on the possible cortical sources of microstates, the findings reveal that non-canonical microstate F is highly associated with propofol-induced altered states of consciousness. The results may also support the inference that this distinct topography can be derived from canonical microstate C (anterior-posterior orientation). Finally, this study further develops pertinent methodology and extends possible applications of the EEG microstate during propofol-induced anesthesia.

摘要

在麻醉期间,动态评估意识水平仍然具有挑战性。借助脑电图(EEG),可以以高时间分辨率非侵入性地测量人脑电活动。引入了几种典型的准稳定状态来表示全局头皮电场的振荡。这些所谓的微状态反映了相干神经活动的时空动力学,并在毫秒范围内捕获脑状态的切换。在这项研究中,在异丙酚诱导的意识转变过程中提取并研究了高密度 EEG 的微状态。为了在频域上分析微状态,提出了一种新的微状态频谱分析方法,通过多变量经验模态分解和希尔伯特-黄变换实现。在意识转变过程中,出现了一个以中央后区最大为特征的图,称为微状态 F,并变得明显。目前的结果表明,在中度镇静状态下,微状态 F 的覆盖范围、出现次数和功率显著增加。研究结果还表明,从休息到镇静的脑状态转变伴随着微状态 F 中所有频段平均能量的显著增加。结合对微状态可能的皮质源的研究,研究结果表明,非典型微状态 F 与异丙酚诱导的意识改变状态高度相关。研究结果还支持这样的推断,即这种独特的地形可以从典型微状态 C(前后取向)得出。最后,本研究进一步发展了相关方法,并扩展了异丙酚诱导麻醉期间 EEG 微状态的可能应用。

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