基于非线性时空动力学的意识障碍患者脑电图研究

doi:10.3969/j.issn.0258-8021.2021.01.07

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Abstract The recovery of consciousness in patients with disorder of consciousness has not been well understood. Most previous studies usedcross-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 non-monotonic during consciousness recovery, and the non-monotonic changes in the two areas were non-synchronized. 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 vs 0.351±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.

Key words： consciousness EEG minimally conscious state pattern vegetative state

Received: 08 October 2019

PACS:

R318

Corresponding Authors: *E-mail: yyang@hdu.edu.cn

About author:: #（Member, Chinese Society of Biomedical Engineering）

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	Lei Ling
	Yang Yong
	Hou Na
	Liu Kehong
	Wu Li
	Cheng Qiqi
	Dong Tengfei
	Hu Xiaohua

Cite this article:

Lei Ling,Yang Yong,Hou Na, et al. EEG Study of Patients with Disorder of Consciousness Based on Nonlinear Spatiotemporal Dynamics[J]. Chinese Journal of Biomedical Engineering, 2021, 40(1): 60-70.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2021.01.07 OR http://cjbme.csbme.org/EN/Y2021/V40/I1/60

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