Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China.
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
J Healthc Eng. 2019 Oct 2;2019:5068283. doi: 10.1155/2019/5068283. eCollection 2019.
Motor imagery is one of the classical paradigms which have been used in brain-computer interface and motor function recovery. Finger movement-based motor execution is a complex biomechanical architecture and a crucial task for establishing most complicated and natural activities in daily life. Some patients may suffer from alternating hemiplegia after brain stroke and lose their ability of motor execution. Fortunately, the ability of motor imagery might be preserved independently and worked as a backdoor for motor function recovery. The efficacy of motor imagery for achieving significant recovery for the motor cortex after brain stroke is still an open question. In this study, we designed a new paradigm to investigate the neural mechanism of thirty finger movements in two scenarios: motor execution and motor imagery. Eleven healthy participants performed or imagined thirty hand gestures twice based on left and right finger movements. The electroencephalogram (EEG) signal for each subject during sixty trials left and right finger motor execution and imagery were recorded during our proposed experimental paradigm. The Granger causality (G-causality) analysis method was employed to analyze the brain connectivity and its strength between contralateral premotor, motor, and sensorimotor areas. Highest numbers for G-causality trials of 37 ± 7.3, 35.5 ± 8.8, 36.3 ± 10.3, and 39.2 ± 9.0 and lowest Granger causality coefficients of 9.1 ± 3.2, 10.9 ± 3.7, 13.2 ± 0.6, and 13.4 ± 0.6 were achieved from the premotor to motor area during execution/imagination tasks of right and left finger movements, respectively. These results provided a new insight into motor execution and motor imagery based on hand gestures, which might be useful to build a new biomarker of finger motor recovery for partially or even completely plegic patients. Furthermore, a significant difference of the G-causality trial number was observed during left finger execution/imagery and right finger imagery, but it was not observed during the right finger execution phase. Significant difference of the G-causality coefficient was observed during left finger execution and imagery, but it was not observed during right finger execution and imagery phases. These results suggested that different MI-based brain motor function recovery strategies should be taken for right-hand and left-hand patients after brain stroke.
运动想象是脑-机接口和运动功能恢复中使用的经典范例之一。手指运动的运动执行是一个复杂的生物力学结构,是日常生活中建立最复杂和自然活动的关键任务。一些患者在中风后可能会出现交替性偏瘫,丧失运动执行能力。幸运的是,运动想象的能力可能会独立保留,并成为运动功能恢复的后门。运动想象对于实现中风后运动皮层的显著恢复的效果仍然是一个悬而未决的问题。在这项研究中,我们设计了一种新的范例来研究两种情况下三十个手指运动的神经机制:运动执行和运动想象。十一位健康参与者根据左手和右手手指的运动执行或想象三十次手部动作。在我们提出的实验范例中,记录了每个被试者在六十次左、右手手指运动执行和想象试验中的脑电图(EEG)信号。采用格兰杰因果关系(G-因果关系)分析方法来分析对侧运动前区、运动区和感觉运动区之间的脑连接及其强度。在执行/想象右手和左手手指运动任务时,来自运动前区到运动区的最高 G-因果关系试验次数分别为 37±7.3、35.5±8.8、36.3±10.3 和 39.2±9.0,最低的格兰杰因果关系系数分别为 9.1±3.2、10.9±3.7、13.2±0.6 和 13.4±0.6。这些结果为基于手部动作的运动执行和运动想象提供了新的见解,这可能有助于为部分甚至完全偏瘫患者建立手指运动恢复的新生物标志物。此外,在左手手指执行/想象和右手手指想象期间观察到 G-因果关系试验次数的显著差异,但在右手手指执行阶段未观察到。在左手手指执行和想象期间观察到 G-因果关系系数的显著差异,但在右手手指执行和想象期间未观察到。这些结果表明,对于中风后的右手和左手患者,应该采取不同的基于 MI 的脑运动功能恢复策略。