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Spatio-temporal analysis of EEG features during consciousness recovery in patients with disorders of consciousness

Authors :
Yong Yang
Ying Xu
Xiaohua Hu
Yixing Zhou
Kehong Liu
Ling Lei
Alice Doubliez
Source :
Clinical Neurophysiology. 133:135-144
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

As consciousness recovery is not only dynamic but also involves interactions between various brain regions, elucidating the mechanism of recovery requires tracking cortical activity in spatio-temporal dimensions.We tracked the cortical activities of 40 patients (mean age: 54.38 years; 28 males; 21 patients with minimally conscious states) with disorders of consciousness, and collected a total of 156 electroencephalographic signals. We investigated the longitudinal changes in EEG nonlinear dynamic features (i.e., approximate entropy, sample entropy, and Lempel-Ziv complexity) and relative wavelet energy along with consciousness recovery.Global EEG features showed a non-monotonic trend during consciousness recovery (P 0.05). When the level of consciousness of patients was transferred to a minimally conscious state from an unresponsive wakefulness syndrome/ vegetative state, an inflection point appeared in the EEG features. The EEG feature change trends between the injured and uninjured areas were dissimilar (P 0.05). Importantly, the degree of dissimilarity increased non-monotonically across the levels of consciousness (P 0.05).EEG recovery was non-monotonic and dissimilar in spatio-temporal dimensions, with an inflection point.These findings further clarify the process of consciousness recovery and provide assistance in exploring the mechanism of consciousness recovery.

Details

ISSN :
13882457
Volume :
133
Database :
OpenAIRE
Journal :
Clinical Neurophysiology
Accession number :
edsair.doi.dedup.....b325955efb3857eccb8c3d7ffcecc9f0
Full Text :
https://doi.org/10.1016/j.clinph.2021.08.027