de Seta Valeria, Romeni Simone
CHUV, Department of Clinical Neurosciences, University Hospital Lausanne, Lausanne, Switzerland.
Bertarelli Foundation Chair in Translational Neural Engineering, Neuro-X Institute, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Front Neurosci. 2025 Jul 17;19:1569148. doi: 10.3389/fnins.2025.1569148. eCollection 2025.
Restoring the ability to walk is a priority for individuals with neurological disorders or neurotraumatic injuries, given its significant impact on independence and quality of life. Multimodal closed-loop strategies that integrate robotic assistance and neuromodulation present promising avenues for personalized and physiological gait recovery. These approaches capitalize on residual motor activity, fostering neuroplasticity and motor relearning. This narrative review emphasizes the importance of mobile brain/body imaging (MoBI) for guiding the development of closed-loop systems that integrate volitional brain signals with residual motor activity in stroke and spinal cord injury patients. We explore the potential of rehabilitative and assistive interventional strategies based on robotic devices, such as exoskeletons and powered orthoses, and neuromodulation techniques like functional electrical stimulation and spinal cord stimulation. We highlight the limitations of the single interventional strategies and the potential of the synergistic combination of MoBI, robotics, and neuromodulation for gait recovery. By leveraging residual motor functions and integrating multimodal data from the different domains involved in motor recovery (i.e., brain, muscle, and biomechanics), the complementarity of these interventional strategies has the potential to enable dynamic patient-specific interventions. We outline a perspective framework on how future directions can exploit such integration to promote physiological recovery of lower limb functions and personalized therapies that are both challenging and feasible. Advancing along this path holds the promise of enhancing rehabilitative strategies, ultimately promoting functional recovery and long-term independence for individuals with neuromotor disorders.
恢复行走能力对于患有神经系统疾病或神经创伤性损伤的个体来说是一个优先事项,因为它对独立性和生活质量有重大影响。整合机器人辅助和神经调节的多模式闭环策略为个性化和生理性步态恢复提供了有前景的途径。这些方法利用残余运动活动,促进神经可塑性和运动再学习。这篇叙述性综述强调了移动脑/体成像(MoBI)对于指导闭环系统开发的重要性,该系统将中风和脊髓损伤患者的自主脑信号与残余运动活动整合在一起。我们探讨了基于机器人设备(如外骨骼和动力矫形器)的康复和辅助干预策略以及功能性电刺激和脊髓刺激等神经调节技术的潜力。我们强调了单一干预策略的局限性以及MoBI、机器人技术和神经调节协同组合对步态恢复的潜力。通过利用残余运动功能并整合运动恢复所涉及的不同领域(即大脑、肌肉和生物力学)的多模式数据,这些干预策略的互补性有可能实现针对患者的动态干预。我们概述了一个前瞻性框架,说明未来的方向如何利用这种整合来促进下肢功能的生理性恢复以及既具有挑战性又可行的个性化治疗。沿着这条道路前进有望增强康复策略,最终促进神经运动障碍患者的功能恢复和长期独立性。