Abstract
Improvement of upper limb and brain function in stroke patients through motor imagery-brain computer interface training
  
DOI:10.3870/zgkf.2024.11.001
EN KeyWords: stroke  motor imaginary  brain computer interface  electroencephalogram  brain function  αrhythm  upper limb function
Fund Project:国家自然科学基金(82102652);天津市卫健委青年人才项目(TJWJ2021QN020)
作者单位
侯思言 南京医科大学第一临床医学院南京 211166 
汪丽丽 天津市人民医院康复医学科天津 300121天津市康复医学研究所天津 300121 
王春方 天津市人民医院康复医学科天津 300121天津市康复医学研究所天津 300121 
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EN Abstract:
  Objective: To investigate the improvement of upper limb dysfunction and brain function in patients with ischemic stroke through the combination of electrostimulation training based on motor imagery-brain computer interface (MI-BCI) and conventional rehabilitation. Methods: A total of 60 patients with upper limb dysfunction after ischemic stroke were selected and randomly divided into a control group (30 cases) and an experimental group (30 cases). Both groups received conventional rehabilitation therapy. The control group received neuromuscular electrical stimulation therapy based on conventional rehabilitation therapy, while the experimental group received BCI therapy based on conventional rehabilitation therapy. Before and 2 weeks and 4 weeks after treatment, the Fugl-Meyer assessment upper extremity scale (FMA-UE) and the Wolf motor function test (WMFT) were used to evaluate the motor function of the affected upper limb and the ability to perform activities of daily living. EEG examination was also conducted on the patients, and the plasticity of brain function was evaluated by the absolute power value of α rhythm in motor-related brain regions. The relationship between EEG indicators and upper limb rehabilitation scores was explored. Results: Before treatment, the differences in FMA-UE, WMFT scores, and α rhythm power values in each lead were not statistically significant in the 2 groups. During treatment, the FMA-UE, WMFT scores in the two groups, and α rhythm power values in the experimental group were higher than those before treatment (P<0.01,0.05),The differences in the FMA-UE scores in the 2 groups were not statistically significant. The WMFT scores in the experimental group were higher than those in the control group (P<0.01), and the power values of some leads (C4, FC1, FC2, FC4) in the experimental group were higher than those in the control group (P<0.05). After treatment, the FMA-UE, WMFT scores and α rhythm power values of the 2 groups were higher than those before the treatment (P<0.05,0.01), and the FMA-UE, WMFT scores in both groups and α rhythm power values in the experimental group were higher than those during treatment (P<0.05). The FMA-UE, WMFT scores and α rhythm power values in the experimental group were significantly higher than those in the control group (P<0.05,0.01). The α rhythm power values showed no significant difference in the control group between pre-treatment and during treatment. The α rhythm power values in the experimental group showed a significantly positive correlation with the rehabilitation scale (P<0.05). Conclusion: Compared with conventional neuromuscular electrical stimulation, MI-BCI-based electrical stimulation training can improve the upper limb motor function and EEG α rhythm more effectively, and the upper limb function score is related to the absolute power of EEG α rhythm in the motor-related brain areas.
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