Lei L, Liu K, Yang Y, Doubliez A, Hu X, Xu Y, Zhou Y. Spatio-temporal analysis of EEG features during consciousness recovery in patients with disorders of consciousness.
Clin Neurophysiol 2021;
133:135-144. [PMID:
34864400 DOI:
10.1016/j.clinph.2021.08.027]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/10/2021] [Accepted: 08/29/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE
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.
METHODS
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.
RESULTS
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).
CONCLUSIONS
EEG recovery was non-monotonic and dissimilar in spatio-temporal dimensions, with an inflection point.
SIGNIFICANCE
These findings further clarify the process of consciousness recovery and provide assistance in exploring the mechanism of consciousness recovery.
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