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Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness
BACKGROUND: The subclassification of prolonged disorders of consciousness (DoC) based on sleep patterns is important for the evaluation and treatment of the disease. This study evaluates the correlation between polysomnographic patterns and the efficacy of transcranial direct current stimulation (tD...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756665/ https://www.ncbi.nlm.nih.gov/pubmed/36522680 http://dx.doi.org/10.1186/s12967-022-03710-2 |
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author | Yu, Jie Wu, Yuehao Wu, Biwen Xu, Chuan Cai, Jiaye Wen, Xinrui Meng, Fanxia Zhang, Li He, Fangping Hong, Lirong Gao, Jian Li, Jingqi Yu, Jintai Luo, Benyan |
author_facet | Yu, Jie Wu, Yuehao Wu, Biwen Xu, Chuan Cai, Jiaye Wen, Xinrui Meng, Fanxia Zhang, Li He, Fangping Hong, Lirong Gao, Jian Li, Jingqi Yu, Jintai Luo, Benyan |
author_sort | Yu, Jie |
collection | PubMed |
description | BACKGROUND: The subclassification of prolonged disorders of consciousness (DoC) based on sleep patterns is important for the evaluation and treatment of the disease. This study evaluates the correlation between polysomnographic patterns and the efficacy of transcranial direct current stimulation (tDCS) in patients with prolonged DoC due to stroke. METHODS: In total, 33 patients in the vegetative state (VS) with sleep cycles or without sleep cycles were randomly assigned to either active or sham tDCS groups. Polysomnography was used to monitor sleep changes before and after intervention. Additionally, clinical scale scores and electroencephalogram (EEG) analysis were performed before and after intervention to evaluate the efficacy of tDCS on the patients subclassified according to their sleep patterns. RESULTS: The results suggest that tDCS improved the sleep structure, significantly prolonged total sleep time (TST) (95%CI: 14.387–283.527, P = 0.013) and NREM sleep stage 2 (95%CI: 3.157–246.165, P = 0.040) of the VS patients with sleep cycles. It also significantly enhanced brain function of patients with sleep cycles, which were reflected by the increased clinical scores (95%CI: 0.340–3.440, P < 0.001), the EEG powers and functional connectivity in the brain and the 6-month prognosis. Moreover, the changes in NREM sleep stage 2 had a significant positive correlation with each index of the β band. CONCLUSION: This study reveals the importance of sleep patterns in the prognosis and treatment of prolonged DoC and provides new evidence for the efficacy of tDCS in post-stroke patients with VS patients subclassified by sleep pattern. Trial registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT03809936. Registered 18 January 2019 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03710-2. |
format | Online Article Text |
id | pubmed-9756665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97566652022-12-17 Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness Yu, Jie Wu, Yuehao Wu, Biwen Xu, Chuan Cai, Jiaye Wen, Xinrui Meng, Fanxia Zhang, Li He, Fangping Hong, Lirong Gao, Jian Li, Jingqi Yu, Jintai Luo, Benyan J Transl Med Research BACKGROUND: The subclassification of prolonged disorders of consciousness (DoC) based on sleep patterns is important for the evaluation and treatment of the disease. This study evaluates the correlation between polysomnographic patterns and the efficacy of transcranial direct current stimulation (tDCS) in patients with prolonged DoC due to stroke. METHODS: In total, 33 patients in the vegetative state (VS) with sleep cycles or without sleep cycles were randomly assigned to either active or sham tDCS groups. Polysomnography was used to monitor sleep changes before and after intervention. Additionally, clinical scale scores and electroencephalogram (EEG) analysis were performed before and after intervention to evaluate the efficacy of tDCS on the patients subclassified according to their sleep patterns. RESULTS: The results suggest that tDCS improved the sleep structure, significantly prolonged total sleep time (TST) (95%CI: 14.387–283.527, P = 0.013) and NREM sleep stage 2 (95%CI: 3.157–246.165, P = 0.040) of the VS patients with sleep cycles. It also significantly enhanced brain function of patients with sleep cycles, which were reflected by the increased clinical scores (95%CI: 0.340–3.440, P < 0.001), the EEG powers and functional connectivity in the brain and the 6-month prognosis. Moreover, the changes in NREM sleep stage 2 had a significant positive correlation with each index of the β band. CONCLUSION: This study reveals the importance of sleep patterns in the prognosis and treatment of prolonged DoC and provides new evidence for the efficacy of tDCS in post-stroke patients with VS patients subclassified by sleep pattern. Trial registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT03809936. Registered 18 January 2019 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03710-2. BioMed Central 2022-12-15 /pmc/articles/PMC9756665/ /pubmed/36522680 http://dx.doi.org/10.1186/s12967-022-03710-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yu, Jie Wu, Yuehao Wu, Biwen Xu, Chuan Cai, Jiaye Wen, Xinrui Meng, Fanxia Zhang, Li He, Fangping Hong, Lirong Gao, Jian Li, Jingqi Yu, Jintai Luo, Benyan Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness |
title | Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness |
title_full | Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness |
title_fullStr | Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness |
title_full_unstemmed | Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness |
title_short | Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness |
title_sort | sleep patterns correlates with the efficacy of tdcs on post-stroke patients with prolonged disorders of consciousness |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756665/ https://www.ncbi.nlm.nih.gov/pubmed/36522680 http://dx.doi.org/10.1186/s12967-022-03710-2 |
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