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:
影响因子:
--
通讯作者:
Lu RR
中科院分区:
文献类型:
--
作者:
Hu YQ;Gao TH;Li J;Tao JC;Bai YL;Lu RR
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
作者:
Edwards DJ;Dipietro L;Demirtas-Tatlidede A;Medeiros AH;Thickbroom GW;Mastaglia FL;Krebs HI;Pascual-Leone A
通讯作者:
Pascual-Leone A
影响因子:
1.5
作者:
Kim, TaeHoon;Kim, SeongSik;Lee, ByoungHee
通讯作者:
Lee, ByoungHee
影响因子:
8.3
作者:
Buch, Ethan;Weber, Cornelia;Birbaumer, Niels
通讯作者:
Birbaumer, Niels
影响因子:
4.3
作者:
Frolov AA;Mokienko O;Lyukmanov R;Biryukova E;Kotov S;Turbina L;Nadareyshvily G;Bushkova Y
通讯作者:
Bushkova Y
影响因子:
8.3
作者:
Bundy DT;Souders L;Baranyai K;Leonard L;Schalk G;Coker R;Moran DW;Huskey T;Leuthardt EC
通讯作者:
Leuthardt EC