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

Background. Recently, the brain-computer interface (BCI) has seen rapid development, which may promote the recovery of motor function in chronic stroke patients. Methods. Twelve stroke patients with severe upper limb and hand motor impairment were enrolled and randomly assigned into two groups: moto...

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Autores principales:	Yi-Qian Hu, Tian-Hao Gao, Jie Li, Jia-Chao Tao, Yu-Long Bai, Rong-Rong Lu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Other systems of medicine RZ201-999
Acceso en línea:	https://doaj.org/article/58d4a289926a4fcdb082e355eab13034
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spelling	oai:doaj.org-article:58d4a289926a4fcdb082e355eab130342021-11-15T01:19:34ZMotor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study1741-428810.1155/2021/1116126https://doaj.org/article/58d4a289926a4fcdb082e355eab130342021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1116126https://doaj.org/toc/1741-4288Background. Recently, the brain-computer interface (BCI) has seen rapid development, which may promote the recovery of motor function in chronic stroke patients. Methods. 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. Results. 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. Conclusion. 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.Yi-Qian HuTian-Hao GaoJie LiJia-Chao TaoYu-Long BaiRong-Rong LuHindawi LimitedarticleOther systems of medicineRZ201-999ENEvidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Other systems of medicine RZ201-999
spellingShingle	Other systems of medicine RZ201-999 Yi-Qian Hu Tian-Hao Gao Jie Li Jia-Chao Tao Yu-Long Bai Rong-Rong Lu Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
description	Background. Recently, the brain-computer interface (BCI) has seen rapid development, which may promote the recovery of motor function in chronic stroke patients. Methods. 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. Results. 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. Conclusion. 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.
format	article
author	Yi-Qian Hu Tian-Hao Gao Jie Li Jia-Chao Tao Yu-Long Bai Rong-Rong Lu
author_facet	Yi-Qian Hu Tian-Hao Gao Jie Li Jia-Chao Tao Yu-Long Bai Rong-Rong Lu
author_sort	Yi-Qian Hu
title	Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
title_short	Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
title_full	Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
title_fullStr	Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
title_full_unstemmed	Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
title_sort	motor imagery-based brain-computer interface combined with multimodal feedback to promote upper limb motor function after stroke: a preliminary study
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/58d4a289926a4fcdb082e355eab13034
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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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