Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), Vitoria 29047-105, Brazil.
Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil.
Sensors (Basel). 2023 Nov 21;23(23):9302. doi: 10.3390/s23239302.
Stroke is a debilitating clinical condition resulting from a brain infarction or hemorrhage that poses significant challenges for motor function restoration. Previous studies have shown the potential of applying transcranial direct current stimulation (tDCS) to improve neuroplasticity in patients with neurological diseases or disorders. By modulating the cortical excitability, tDCS can enhance the effects of conventional therapies. While upper-limb recovery has been extensively studied, research on lower limbs is still limited, despite their important role in locomotion, independence, and good quality of life. As the life and social costs due to neuromuscular disability are significant, the relatively low cost, safety, and portability of tDCS devices, combined with low-cost robotic systems, can optimize therapy and reduce rehabilitation costs, increasing access to cutting-edge technologies for neuromuscular rehabilitation. This study explores a novel approach by utilizing the following processes in sequence: tDCS, a motor imagery (MI)-based brain-computer interface (BCI) with virtual reality (VR), and a motorized pedal end-effector. These are applied to enhance the brain plasticity and accelerate the motor recovery of post-stroke patients. The results are particularly relevant for post-stroke patients with severe lower-limb impairments, as the system proposed here provides motor training in a real-time closed-loop design, promoting cortical excitability around the foot area (Cz) while the patient directly commands with his/her brain signals the motorized pedal. This strategy has the potential to significantly improve rehabilitation outcomes. The study design follows an alternating treatment design (ATD), which involves a double-blind approach to measure improvements in both physical function and brain activity in post-stroke patients. The results indicate positive trends in the motor function, coordination, and speed of the affected limb, as well as sensory improvements. The analysis of event-related desynchronization (ERD) from EEG signals reveals significant modulations in Mu, low beta, and high beta rhythms. Although this study does not provide conclusive evidence for the superiority of adjuvant mental practice training over conventional therapy alone, it highlights the need for larger-scale investigations.
中风是一种致残性的临床病症,由脑梗死或脑出血引起,对运动功能的恢复构成了重大挑战。先前的研究表明,经颅直流电刺激(tDCS)在改善神经疾病或障碍患者的神经可塑性方面具有潜力。通过调节皮质兴奋性,tDCS 可以增强常规治疗的效果。虽然上肢恢复已经得到了广泛研究,但下肢的研究仍然有限,尽管它们在运动、独立性和良好的生活质量方面发挥着重要作用。由于神经肌肉残疾造成的生活和社会成本巨大,tDCS 设备相对较低的成本、安全性和便携性,结合低成本的机器人系统,可以优化治疗并降低康复成本,使更多的神经肌肉康复领域的先进技术能够得到应用。本研究探索了一种新方法,依次采用以下流程:tDCS、基于运动想象(MI)的虚拟现实(VR)脑机接口(BCI)和电动脚踏末端执行器。这些方法旨在增强大脑的可塑性并加速中风患者的运动康复。该系统为中风后下肢严重受损的患者提供了实时闭环设计的运动训练,促进了脚部区域(Cz)周围皮质兴奋性,同时患者可以直接通过脑信号控制电动脚踏,研究结果对这些患者具有重要意义,可能会显著改善康复效果。该研究采用交替治疗设计(ATD),采用双盲方法测量中风患者的身体功能和大脑活动的改善情况。结果表明,患侧肢体的运动功能、协调性和速度都有积极的趋势,并且感觉也有所改善。从 EEG 信号中分析事件相关去同步(ERD)发现 Mu、低 beta 和高 beta 节律都有显著的调制。虽然本研究并没有提供辅助心理练习训练优于单纯常规治疗的确切证据,但它强调了需要进行更大规模的研究。