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Sleep patterns correlates with the efficacy of tDCS on post-stroke patients with prolonged disorders of consciousness.
- Source :
-
Journal of Translational Medicine . 12/12/2022, Vol. 20 Issue 1, p1-12. 12p. - Publication Year :
- 2022
-
Abstract
- 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: . Unique identifier: NCT03809936. Registered 18 January 2019 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14795876
- Volume :
- 20
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Translational Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 160835052
- Full Text :
- https://doi.org/10.1186/s12967-022-03710-2