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基于非线性时空动力学的意识障碍患者脑电图研究
引用本文:雷灵,杨勇,侯娜,刘克洪,吴莉,程琪琪,董腾飞,胡晓华. 基于非线性时空动力学的意识障碍患者脑电图研究[J]. 中国生物医学工程学报, 2021, 40(1): 60-70. DOI: 10.3969/j.issn.0258-8021.2021.01.07
作者姓名:雷灵  杨勇  侯娜  刘克洪  吴莉  程琪琪  董腾飞  胡晓华
作者单位:1(杭州电子科技大学自动化学院, 杭州 310018)2(武警浙江省医院康复中心, 杭州 310051)
基金项目:国家自然科学基金(81671038)。
摘    要:目前,意识障碍患者的意识恢复过程仍然不是很清楚.大多数相关研究采用组间比较方法,而意识恢复不仅是一个动态过程,而且会涉及不同脑区间的相互作用.因此,阐明意识恢复机制需要从时间和空间两个维度对大脑活动进行跟踪.利用脑电图的时空分辨率优势,跟踪41例意识障碍患者,共采集161例脑电信号.之后,比较不同意识恢复阶段患者脑电信...

关 键 词:意识  EEG  最小意识状态  模式  植物状态
收稿时间:2019-10-08

EEG Study of Patients with Disorder of Consciousness Based on Nonlinear Spatiotemporal Dynamics
Lei Ling,Yang Yong,Hou Na,Liu Kehong,Wu Li,Cheng Qiqi,Dong Tengfei,Hu Xiaohua. EEG Study of Patients with Disorder of Consciousness Based on Nonlinear Spatiotemporal Dynamics[J]. Chinese Journal of Biomedical Engineering, 2021, 40(1): 60-70. DOI: 10.3969/j.issn.0258-8021.2021.01.07
Authors:Lei Ling  Yang Yong  Hou Na  Liu Kehong  Wu Li  Cheng Qiqi  Dong Tengfei  Hu Xiaohua
Affiliation:(College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)(Rehabilitation Center, Wu Jing Hospital, Hangzhou 310051, China)
Abstract:The recovery of consciousness in patients with disorder of consciousness has not been well understood. Most previous studies used cross-sectional design,as consciousness recovery is not only dynamic but also involves interactions between various brain regions. Elucidating the mechanism of recovery requires tracking brain activity both in temporal and in spatial dimensions. In this study we took advantage of the high temporal resolution and good spatial resolution of EEG to examine 41 patients with disorder of consciousness,analyzing a total of 161 resting-state EEG measurements. We compared the changes in EEG nonlinear dynamic features of brain activity among the patients in different stages of consciousness recovery,including approximate entropy,sample entropy,and Lempel-Ziv complexity. In the temporal dimension,EEG nonlinear dynamic features for the whole brain showed a non-monotonic trend during recovery(LZC: 0. 299 ± 0. 053,0. 295 ±0. 060,0. 279 ± 0. 049,0. 302 ± 0. 053,0. 307 ± 0. 069,0. 326 ± 0. 049,0. 334 ± 0. 046;P < 0. 05). When patients progressed from vegetative state to minimally conscious state,there was an inflection point in the EEG features. In the spatial dimension,changes in EEG features in injured and uninjured areas were also nonmonotonic during consciousness recovery, and the non-monotonic changes in the two areas were nonsynchronized. In emergence from minimally conscious state, the difference between the two regions was extremely significant(injured vs uninjured: ApEn: 0. 608 ± 0. 042 vs 0. 63 ± 0. 030;LZC: 0. 317 ± 0. 054 vs0. 351±0. 039;SampEn: 0. 581±0. 058 vs 0. 615±0. 043;P<0. 01). The consciousness recovery pattern was non-monotonic in the temporal and asynchronous in the spatial dimension. These findings provided insights into the mechanisms of consciousness recovery following brain injury and could serve as a basis for the treatment and rehabilitation of patients with disorder of consciousness.
Keywords:consciousness  EEG  minimally conscious state  pattern  vegetative state
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