Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG
Objectives: This study aimed to investigate the role of non-linear dynamic analysis (NDA) of the electroencephalogram (EEG) in predicting patient outcome in unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS).Methods: This was a prospective longitudinal cohort study. A total...
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doaj-a59deee536b24dbc97750ee4eca91b3a2021-02-22T04:28:42ZengFrontiers Media S.A.Frontiers in Neurology1664-22952021-02-011210.3389/fneur.2021.510424510424Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEGBaohu Liu0Xu Zhang1Lijia Wang2Yuanyuan Li3Jun Hou4Guoping Duan5Tongtong Guo6Dongyu Wu7Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, CanadaDepartment of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaTianjin University of Traditional Chinese Medicine, Tianjin, ChinaDepartment of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaObjectives: This study aimed to investigate the role of non-linear dynamic analysis (NDA) of the electroencephalogram (EEG) in predicting patient outcome in unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS).Methods: This was a prospective longitudinal cohort study. A total of 98 and 64 UWS and MCS cases, respectively, were assessed. During admission, EEGs were acquired under eyes-closed and pain stimulation conditions. EEG nonlinear indices, including approximate entropy (ApEn) and cross-ApEn, were calculated. The modified Glasgow Outcome Scale (mGOS) was employed to assess functional prognosis 1 year following brain injury.Results: The mGOS scores were improved in 25 (26%) patients with UWS and 42 (66%) with MCS. Under the painful stimulation condition, both non-linear indices were lower in patients with UWS than in those with MCS. The frontal region, periphery of the primary sensory area (S1), and forebrain structure might be the key points modulating disorders of consciousness. The affected local cortical networks connected to S1 and unaffected distant cortical networks connecting S1 to the prefrontal area played important roles in mGOS score improvement.Conclusions: NDA provides an objective assessment of cortical excitability and interconnections of residual cortical functional islands. The impaired interconnection of the residual cortical functional island meant a poorer prognosis. The activation in the affected periphery of the S1 and the increase in the interconnection of affected local cortical areas around the S1 and unaffected S1 to the prefrontal and temporal areas meant a relatively favorable prognosis.https://www.frontiersin.org/articles/10.3389/fneur.2021.510424/fullelectroencephalogramminimally conscious statenon-linear dynamicsprognosisunresponsive wakefulness syndrome |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Baohu Liu Xu Zhang Lijia Wang Yuanyuan Li Jun Hou Guoping Duan Tongtong Guo Dongyu Wu |
spellingShingle |
Baohu Liu Xu Zhang Lijia Wang Yuanyuan Li Jun Hou Guoping Duan Tongtong Guo Dongyu Wu Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG Frontiers in Neurology electroencephalogram minimally conscious state non-linear dynamics prognosis unresponsive wakefulness syndrome |
author_facet |
Baohu Liu Xu Zhang Lijia Wang Yuanyuan Li Jun Hou Guoping Duan Tongtong Guo Dongyu Wu |
author_sort |
Baohu Liu |
title |
Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG |
title_short |
Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG |
title_full |
Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG |
title_fullStr |
Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG |
title_full_unstemmed |
Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG |
title_sort |
outcome prediction in unresponsive wakefulness syndrome and minimally conscious state by non-linear dynamic analysis of the eeg |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2021-02-01 |
description |
Objectives: This study aimed to investigate the role of non-linear dynamic analysis (NDA) of the electroencephalogram (EEG) in predicting patient outcome in unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS).Methods: This was a prospective longitudinal cohort study. A total of 98 and 64 UWS and MCS cases, respectively, were assessed. During admission, EEGs were acquired under eyes-closed and pain stimulation conditions. EEG nonlinear indices, including approximate entropy (ApEn) and cross-ApEn, were calculated. The modified Glasgow Outcome Scale (mGOS) was employed to assess functional prognosis 1 year following brain injury.Results: The mGOS scores were improved in 25 (26%) patients with UWS and 42 (66%) with MCS. Under the painful stimulation condition, both non-linear indices were lower in patients with UWS than in those with MCS. The frontal region, periphery of the primary sensory area (S1), and forebrain structure might be the key points modulating disorders of consciousness. The affected local cortical networks connected to S1 and unaffected distant cortical networks connecting S1 to the prefrontal area played important roles in mGOS score improvement.Conclusions: NDA provides an objective assessment of cortical excitability and interconnections of residual cortical functional islands. The impaired interconnection of the residual cortical functional island meant a poorer prognosis. The activation in the affected periphery of the S1 and the increase in the interconnection of affected local cortical areas around the S1 and unaffected S1 to the prefrontal and temporal areas meant a relatively favorable prognosis. |
topic |
electroencephalogram minimally conscious state non-linear dynamics prognosis unresponsive wakefulness syndrome |
url |
https://www.frontiersin.org/articles/10.3389/fneur.2021.510424/full |
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