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

被引:25
作者
Shi, Wen [1 ,2 ,3 ,4 ]
Li, Yamin [1 ,2 ,3 ,4 ]
Liu, Zhian [1 ,2 ,3 ]
Li, Jing [1 ,2 ,3 ,5 ]
Wang, Qiang [6 ,7 ]
Yan, Xiangguo [1 ,2 ,3 ]
Wang, Gang [1 ,2 ,3 ]
机构
[1] Xi An Jiao Tong Univ, Inst Biomed Engn, Key Lab Biomed Informat Engn, Minist Educ,Sch Life Sci & Technol, 28 Xianning West Rd, Xian 710049, Shaanxi, Peoples R China
[2] Natl Engn Res Ctr Healthcare Devices, Guangzhou 510500, Guangdong, Peoples R China
[3] Xi An Jiao Tong Univ, Key Lab Neuroinformat & Rehabil Engn, Minist Civil Affairs, 28 Xianning West Rd, Xian 710049, Shaanxi, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Biomed Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[5] Xi An Jiao Tong Univ, Honghui Hosp, Dept Anesthesiol, 555 Youyi East Rd, Xian 710054, Shaanxi, Peoples R China
[6] Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Anesthesiol, Xian 710061, Shaanxi, Peoples R China
[7] Xi An Jiao Tong Univ, Affiliated Hosp 1, Ctr Brain Sci, Xian 710061, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Altered states of consciousness; high-density EEG; microstate; anesthesia; multivariate empirical mode decomposition; EMPIRICAL MODE DECOMPOSITION; SPONTANEOUS BRAIN ACTIVITY; WAVELET-CHAOS METHODOLOGY; FUNCTIONAL CONNECTIVITY; GENERAL-ANESTHESIA; MECHANISMS; NETWORK; SYNCHRONIZATION; DIAGNOSIS; SPECTRUM;
D O I
10.1142/S0129065720500057
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
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页数:18
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