Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study.

Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study.
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基于运动想象的脑机接口结合多模态反馈促进中风后上肢运动功能的初步研究

DOI:
10.1155/2021/1116126
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发表时间:
2021
期刊:
Evidence-based complementary and alternative medicine : eCAM
影响因子:
--
通讯作者:
Lu RR
Lu RR
中科院分区:
其他
文献类型:
--
作者:
Hu YQ;Gao TH;Li J;Tao JC;Bai YL;Lu RR

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近年来,脑-机接口(BCI)发展迅速,有望促进慢性脑卒中患者运动功能的恢复。 入选12例严重上肢和手部运动障碍的脑卒中患者,随机分为两组:BCI组(n = 7)采用基于运动想象(MI)的多模式反馈训练,对照组(n = 5)采用经典运动想象训练。在干预前后评估运动功能和电生理。Fugl-Meyer上肢评估(FMA-UE)是主要结局指标。次要结局指标包括腕关节主动伸展或表面肌电图(运动期间桡侧腕伸肌的振幅和共同收缩)、动作研究手臂试验(ARAT)、运动状态量表(MSS)和Barthel指数(BI)的增加。采用时频分析和功率谱分析反映干预前后脑电的变化。 与基线相比,BCI组的FMA-UE评分显著增加(p = 0.006)。两组的MSS评分均显著改善,而ARAT无显著改善。此外,在干预之前,所有患者都不能主动伸展手腕或只是肌肉收缩。干预后,4名患者恢复了伸展瘫痪手腕的能力(每组2名)。桡侧腕伸肌的振幅和曲下面积有不同程度的改善,但组间差异无统计学意义。 基于MI的脑机接口结合感觉和视觉反馈可改善慢性脑卒中患者严重的上肢和手功能障碍,在康复医学中具有潜在的应用价值。
Recently, the brain-computer interface (BCI) has seen rapid development, which may promote the recovery of motor function in chronic stroke patients. Twelve stroke patients with severe upper limb and hand motor impairment were enrolled and randomly assigned into two groups: motor imagery (MI)-based BCI training with multimodal feedback (BCI group, n = 7) and classical motor imagery training (control group, n = 5). Motor function and electrophysiology were evaluated before and after the intervention. The Fugl-Meyer assessment-upper extremity (FMA-UE) is the primary outcome measure. Secondary outcome measures include an increase in wrist active extension or surface electromyography (the amplitude and cocontraction of extensor carpi radialis during movement), the action research arm test (ARAT), the motor status scale (MSS), and Barthel index (BI). Time-frequency analysis and power spectral analysis were used to reflect the electroencephalogram (EEG) change before and after the intervention. Compared with the baseline, the FMA-UE score increased significantly in the BCI group (p = 0.006). MSS scores improved significantly in both groups, while ARAT did not improve significantly. In addition, before the intervention, all patients could not actively extend their wrists or just had muscle contractions. After the intervention, four patients regained the ability to extend their paretic wrists (two in each group). The amplitude and area under the curve of extensor carpi radialis improved to some extent, but there was no statistical significance between the groups. MI-based BCI combined with sensory and visual feedback might improve severe upper limb and hand impairment in chronic stroke patients, showing the potential for application in rehabilitation medicine.
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影响因子: 5.1
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