Ling Lei1, Kehong Liu2, Yong Yang3, Alice Doubliez4, Xiaohua Hu2, Ying Xu1, Yixing Zhou5. 1. College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China. 2. Wu Jing Hospital, Rehabilitation Center, Hangzhou, Zhejiang 310051, China. 3. College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China. Electronic address: yyang@hdu.edu.cn. 4. Paris Descartes University, 45 rue des Saints-Peres, Paris 75006, France. 5. First People's Hospital of Zhaoqing City, No. 9 Donggang East Road, Duanzhou District, Zhaoqing 526060, China. Electronic address: zjqzll@163.com.
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.
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.
Authors: Daniela Biggs; Gonzalo Boncompte; Juan C Pedemonte; Carlos Fuentes; Luis I Cortinez Journal: Front Aging Neurosci Date: 2022-08-11 Impact factor: 5.702