Effects of a Brain-Computer Interface-Operated Lower Limb Rehabilitation Robot on Motor Function Recovery in Patients with Stroke.
Effects of a Brain-Computer Interface-Operated Lower Limb Rehabilitation Robot on Motor Function Recovery in Patients with Stroke.
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DOI：
10.1155/2021/4710044
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发表时间：
2021
影响因子：
--
通讯作者：
Zhang T
中科院分区：
文献类型：
--
作者：
Li C;Wei J;Huang X;Duan Q;Zhang T
观察脑-机接口操作的下肢康复机器人（BCI-LLRR）对脑卒中患者功能恢复的影响，并探讨其作用机制。 亚急性期脑卒中患者随机分为两组。在常规干预的基础上，治疗组进行BCI-LLRR训练，对照组进行下肢踏板训练，训练时间相同（30 min/d）。所有患者在治疗2周、4周及治疗结束后3个月进行美国国立卫生研究院卒中量表（NIHSS）、Fugl-Meyer上下肢运动功能和平衡测试等评估。治疗前及治疗4周后分别行下肢运动诱发电位（MEP）和头部弥散张量成像/纤维束成像（DTI/DTT）检查。 治疗4周后，治疗组Fugl-Meyer下肢功能评分和NIHSS评分均较对照组明显改善（P < 0.01）。在3个月时，观察到进一步的显著改善。治疗组的MEP振幅和潜伏期较对照组明显改善。处理对各向异性分数值的影响不显著。 BCI-LLRR促进了卒中后腿部功能恢复，并改善了日常生活活动，这可能是通过改善大脑皮层兴奋性和白色连接。
To observe the effect of a brain-computer interface-operated lower limb rehabilitation robot (BCI-LLRR) on functional recovery from stroke and to explore mechanisms. Subacute-phase stroke patients were randomly divided into two groups. In addition to the routine intervention, patients in the treatment group trained on the BCI-LLRR and underwent the lower limb pedal training in the control group, both for the same time (30 min/day). All patients underwent assessment by instruments such as the National Institutes of Health Stroke Scale (NIHSS) and the Fugl–Meyer upper and lower limb motor function and balance tests, at 2 and 4 weeks of treatment and at 3 months after the end of treatment. Patients were also tested before treatment and after 4 weeks by leg motor evoked potential (MEP) and diffusion tensor imaging/tractography (DTI/DTT) of the head. After 4 weeks, the Fugl–Meyer leg function and NIHSS scores were significantly improved in the treatment group vs. controls (P < 0.01). At 3 months, further significant improvement was observed. The MEP amplitude and latency of the treatment group were significantly improved vs. controls. The effect of treatment on fractional anisotropy values was not significant. The BCI-LLRR promoted leg functional recovery after stroke and improved activities of daily living, possibly by improving cerebral-cortex excitability and white matter connectivity.
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DOI：
10.3389/fneng.2014.00030
发表时间：
2014
期刊：
Frontiers in neuroengineering
影响因子：
--
作者：
Ang KK;Guan C;Phua KS;Wang C;Zhou L;Tang KY;Ephraim Joseph GJ;Kuah CW;Chua KS
通讯作者：
Chua KS
影响因子：
5.3
作者：
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通讯作者：
Mitsias, Panayiotis D.
影响因子：
2.9
作者：
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通讯作者：
Prabhakaran V
将动态停止策略纳入基于 SSVEP 的高速 BCI
影响因子：
4
作者：
Jiang, Jing;Yin, Erwei;Ming, Dong
通讯作者：
Ming, Dong
影响因子：
4.2
作者：
Varkuti, Balint;Guan, Cuntai;Sitaram, Ranganathan
通讯作者：
Sitaram, Ranganathan