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tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome

OBJECTIVES: We aimed to assess the role of transcranial direct current stimulation (tDCS) combined with electroencephalogram (EEG) for predicting prognosis in UWS cases. METHODS: This was a historical control study that enrolled 85 patients with UWS. The subjects were assigned to the control (withou...

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Autores principales: Liu, Baohu, Zhang, Xu, Li, Yuanyuan, Duan, Guoping, Hou, Jun, Zhao, Jiayi, Guo, Tongtong, Wu, Dongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263392/
https://www.ncbi.nlm.nih.gov/pubmed/35812233
http://dx.doi.org/10.3389/fnins.2022.771393
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author Liu, Baohu
Zhang, Xu
Li, Yuanyuan
Duan, Guoping
Hou, Jun
Zhao, Jiayi
Guo, Tongtong
Wu, Dongyu
author_facet Liu, Baohu
Zhang, Xu
Li, Yuanyuan
Duan, Guoping
Hou, Jun
Zhao, Jiayi
Guo, Tongtong
Wu, Dongyu
author_sort Liu, Baohu
collection PubMed
description OBJECTIVES: We aimed to assess the role of transcranial direct current stimulation (tDCS) combined with electroencephalogram (EEG) for predicting prognosis in UWS cases. METHODS: This was a historical control study that enrolled 85 patients with UWS. The subjects were assigned to the control (without tDCS) and tDCS groups. Conventional treatments were implemented in both the control and tDCS groups, along with 40 multi-target tDCS sessions only in the tDCS group. Coma Recovery Scale-Revised (CRS-R) was applied at admission. The non-linear EEG index was evaluated after treatment. The modified Glasgow Outcome Scale (mGOS) was applied 12 months after disease onset. RESULTS: The mGOS improvement rate in the tDCS group (37.1%) was higher than the control value (22.0%). Linear regression analysis revealed that the local and remote cortical networks under unaffected pain stimulation conditions and the remote cortical network under affected pain stimulation conditions were the main relevant factors for mGOS improvement. Furthermore, the difference in prefrontal-parietal cortical network was used to examine the sensitivity of prognostic assessment in UWS patients. The results showed that prognostic sensitivity could be increased from 54.5% (control group) to 84.6% (tDCS group). CONCLUSIONS: This study proposes a tDCS-EEG protocol for predicting the prognosis of UWS. With multi-target tDCS combined with EEG, the sensitivity of prognostic assessment in patients with UWS was improved. The recovery might be related to improved prefrontal-parietal cortical networks of the unaffected hemisphere.
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spelling pubmed-92633922022-07-09 tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome Liu, Baohu Zhang, Xu Li, Yuanyuan Duan, Guoping Hou, Jun Zhao, Jiayi Guo, Tongtong Wu, Dongyu Front Neurosci Neuroscience OBJECTIVES: We aimed to assess the role of transcranial direct current stimulation (tDCS) combined with electroencephalogram (EEG) for predicting prognosis in UWS cases. METHODS: This was a historical control study that enrolled 85 patients with UWS. The subjects were assigned to the control (without tDCS) and tDCS groups. Conventional treatments were implemented in both the control and tDCS groups, along with 40 multi-target tDCS sessions only in the tDCS group. Coma Recovery Scale-Revised (CRS-R) was applied at admission. The non-linear EEG index was evaluated after treatment. The modified Glasgow Outcome Scale (mGOS) was applied 12 months after disease onset. RESULTS: The mGOS improvement rate in the tDCS group (37.1%) was higher than the control value (22.0%). Linear regression analysis revealed that the local and remote cortical networks under unaffected pain stimulation conditions and the remote cortical network under affected pain stimulation conditions were the main relevant factors for mGOS improvement. Furthermore, the difference in prefrontal-parietal cortical network was used to examine the sensitivity of prognostic assessment in UWS patients. The results showed that prognostic sensitivity could be increased from 54.5% (control group) to 84.6% (tDCS group). CONCLUSIONS: This study proposes a tDCS-EEG protocol for predicting the prognosis of UWS. With multi-target tDCS combined with EEG, the sensitivity of prognostic assessment in patients with UWS was improved. The recovery might be related to improved prefrontal-parietal cortical networks of the unaffected hemisphere. Frontiers Media S.A. 2022-06-24 /pmc/articles/PMC9263392/ /pubmed/35812233 http://dx.doi.org/10.3389/fnins.2022.771393 Text en Copyright © 2022 Liu, Zhang, Li, Duan, Hou, Zhao, Guo and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Liu, Baohu
Zhang, Xu
Li, Yuanyuan
Duan, Guoping
Hou, Jun
Zhao, Jiayi
Guo, Tongtong
Wu, Dongyu
tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome
title tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome
title_full tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome
title_fullStr tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome
title_full_unstemmed tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome
title_short tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome
title_sort tdcs-eeg for predicting outcome in patients with unresponsive wakefulness syndrome
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263392/
https://www.ncbi.nlm.nih.gov/pubmed/35812233
http://dx.doi.org/10.3389/fnins.2022.771393
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