Ibáñez Jaime, Monge-Pereira Esther, Molina-Rueda Francisco, Serrano J I, Del Castillo Maria D, Cuesta-Gómez Alicia, Carratalá-Tejada María, Cano-de-la-Cuerda Roberto, Alguacil-Diego Isabel M, Miangolarra-Page Juan C, Pons Jose L
Neural Rehabilitation Group, Spanish National Research Council, Cajal InstituteMadrid, Spain; Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College LondonLondon, UK.
Motion Analysis, Ergonomics, Biomechanics and Motor Control Laboratory, Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Faculty of Health Sciences, Rey Juan Carlos University Madrid, Spain.
Front Neurosci. 2017 Mar 17;11:126. doi: 10.3389/fnins.2017.00126. eCollection 2017.
The association between motor-related cortical activity and peripheral stimulation with temporal precision has been proposed as a possible intervention to facilitate cortico-muscular pathways and thereby improve motor rehabilitation after stroke. Previous studies with patients have provided evidence of the possibility to implement brain-machine interface platforms able to decode motor intentions and use this information to trigger afferent stimulation and movement assistance. This study tests the use a low-latency movement intention detector to drive functional electrical stimulation assisting upper-limb reaching movements of patients with stroke. An eight-sessions intervention on the paretic arm was tested on four chronic stroke patients along 1 month. Patients' intentions to initiate reaching movements were decoded from electroencephalographic signals and used to trigger functional electrical stimulation that in turn assisted patients to do the task. The analysis of the patients' ability to interact with the intervention platform, the assessment of changes in patients' clinical scales and of the system usability and the kinematic analysis of the reaching movements before and after the intervention period were carried to study the potential impact of the intervention. On average 66.3 ± 15.7% of trials (resting intervals followed by self-initiated movements) were correctly classified with the decoder of motor intentions. The average detection latency (with respect to the movement onsets estimated with gyroscopes) was 112 ± 278 ms. The Fügl-Meyer index upper extremity increased 11.5 ± 5.5 points with the intervention. The stroke impact scale also increased. In line with changes in clinical scales, kinematics of reaching movements showed a trend toward lower compensatory mechanisms. Patients' assessment of the therapy reflected their acceptance of the proposed intervention protocol. According to results obtained here with a small sample of patients, Brain-Machine Interfaces providing low-latency support to upper-limb reaching movements in patients with stroke are a reliable and usable solution for motor rehabilitation interventions with potential functional benefits.
运动相关皮层活动与外周刺激之间具有时间精度的关联,已被提出作为一种可能的干预手段,以促进皮质-肌肉通路,从而改善中风后的运动康复。先前对患者的研究已提供证据,证明有可能实施能够解码运动意图并利用该信息触发传入刺激和运动辅助的脑机接口平台。本研究测试了使用低延迟运动意图检测器来驱动功能性电刺激,以辅助中风患者进行上肢伸展运动。对四名慢性中风患者的患侧手臂进行了为期1个月的八次干预测试。从脑电图信号中解码患者发起伸展运动的意图,并用于触发功能性电刺激,进而辅助患者完成任务。对患者与干预平台交互能力的分析、患者临床量表变化的评估、系统可用性评估以及干预前后伸展运动的运动学分析,旨在研究该干预的潜在影响。平均而言,运动意图解码器对66.3±15.7%的试验(休息间隔后自主发起的运动)进行了正确分类。平均检测延迟(相对于用陀螺仪估计的运动起始时间)为112±278毫秒。干预后,Fugl-Meyer上肢指数增加了11.5±5.5分。中风影响量表也有所增加。与临床量表的变化一致,伸展运动的运动学显示出补偿机制减少的趋势。患者对治疗的评估反映了他们对所提议干预方案的接受程度。根据在此对少量患者获得的结果,为中风患者上肢伸展运动提供低延迟支持的脑机接口是一种可靠且可用的运动康复干预解决方案,具有潜在的功能益处。