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Effects of a Brain-Computer Interface With Virtual Reality (VR) Neurofeedback: A Pilot Study in Chronic Stroke Patients

机译:具有虚拟现实(VR)神经反馈的脑机接口的影响:慢性卒中患者的一项初步研究

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摘要

Rehabilitation for stroke patients with severe motor impairments (e.g., inability to perform wrist or finger extension on the affected side) is burdensome and difficult because most current rehabilitation options require some volitional movement to retrain the affected side. However, although these patients participate in therapy requiring volitional movement, previous research has shown that they may receive modest benefits from action observation, virtual reality (VR), and brain-computer interfaces (BCIs). These approaches have shown some success in strengthening key motor pathways thought to support motor recovery after stroke, in the absence of volitional movement. The purpose of this study was to combine the principles of VR and BCI in a platform called REINVENT and assess its effects on four chronic stroke patients across different levels of motor impairment. REINVENT acquires post-stroke EEG signals that indicate an attempt to move and drives the movement of a virtual avatar arm, allowing patient-driven action observation neurofeedback in VR. In addition, synchronous electromyography (EMG) data were also captured to monitor overt muscle activity. Here we tested four chronic stroke survivors and show that this EEG-based BCI can be safely used over repeated sessions by stroke survivors across a wide range of motor disabilities. Finally, individual results suggest that patients with more severe motor impairments may benefit the most from EEG-based neurofeedback, while patients with more mild impairments may benefit more from EMG-based feedback, harnessing existing sensorimotor pathways. We note that although this work is promising, due to the small sample size, these results are preliminary. Future research is needed to confirm these findings in a larger and more diverse population.
机译:对于具有严重运动障碍(例如,无法在患侧进行腕部或手指伸展运动)的中风患者的康复工作是繁重且困难的,因为大多数当前的康复选择都需要一定的意志运动来重新训练患侧。但是,尽管这些患者参加了需要自愿运动的治疗,但先前的研究表明,他们可能会从动作观察,虚拟现实(VR)和脑机接口(BCI)中获得适度的收益。这些方法已显示出在增强关键运动路径方面取得的一些成功,这些运动路径被认为可以在没有自愿运动的情况下支持中风后的运动恢复。这项研究的目的是在称为REINVENT的平台中结合VR和BCI的原理,并评估其对四位不同运动障碍水平的慢性中风患者的影响。 REINVENT会获得指示卒中的尝试的中风后脑电图信号,并驱动虚拟化身臂的运动,从而允许患者在VR中观察神经反馈的动作反馈。此外,同步肌电图(EMG)数据也被捕获以监视明显的肌肉活动。在这里,我们测试了四个慢性中风幸存者,并表明基于EEG的BCI可以在广泛的运动障碍中被中风幸存者重复使用。最后,个别结果表明,运动功能障碍较重的患者可能会从基于EEG的神经反馈中受益最大,而轻度障碍的患者可能会从基于EMG的反馈中受益,并利用现有的感觉运动通路。我们注意到尽管这项工作很有希望,但由于样本量小,这些结果只是初步的。需要进行进一步的研究,以在更大,更多样化的人群中确认这些发现。

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