Bian Yan, Qi Hongzhi, Zhao Li, Ming Dong, Guo Tong, Fu Xing
Departments of Precision Instrument.
Department of Automation, Tianjin Information Sensing & Intelligent Control Key Laboratory, Tianjin University of Technology and Education, Tianjin, China.
Neuroreport. 2019 Jun 12;30(9):645-652. doi: 10.1097/WNR.0000000000001251.
Motor imagery (MI) based brain-computer interfaces could be used clinically to trigger neurological recovery and improve motor function for patients with neural injuries. However, the factors that impact on MI performance and rehabilitative effect of MI-based brain-computer interfaces have not been characterized. According to our previous study, complex imagery tasks with dynamic visual paradigm could induce stronger MI features and obtain significantly higher average classification accuracy than nondynamic guidance. This study attempted to further investigate intracortical activities under different instructive paradigms and explore their potential effects on motor recovery. Eleven participants performed four types of different paradigms, including a nondynamic visual paradigm with simple MI task and three other dynamic visual/audiovisual paradigms with simple/complex MI tasks. A 64-channel electroencephalography was acquired and a voxel by voxel grand average of cortical source activities with statistical nonparametric mapping based on standardized low-resolution brain electromagnetic tomography were performed for comparisons among these paradigms in both alpha and beta bands. Moreover, seven regions of interest were selected to further analyze mean current source density variations for each paradigm with statistical analysis between dynamic and nondynamic paradigms. The outcomes uncovered that the dynamic visual aided paradigm with complex imagery tasks stimulated stronger cortical activities in core motor-related regions and triggered more extensive activation in the classical frontoparietal mirror regions than nondynamic paradigm. Involvement of these areas had a positive impact on the recovery of motor deficits in patients with neural injuries.
基于运动想象(MI)的脑机接口可在临床上用于触发神经恢复并改善神经损伤患者的运动功能。然而,影响基于MI的脑机接口的MI性能和康复效果的因素尚未得到明确。根据我们之前的研究,具有动态视觉范式的复杂想象任务能够诱导更强的MI特征,并且比非动态引导获得显著更高的平均分类准确率。本研究试图进一步探究不同指导范式下的皮层内活动,并探索它们对运动恢复的潜在影响。11名参与者执行了四种不同的范式,包括一个具有简单MI任务的非动态视觉范式以及其他三个具有简单/复杂MI任务的动态视觉/视听范式。采集了64通道脑电图,并基于标准化低分辨率脑电磁断层扫描,通过统计非参数映射对皮层源活动进行逐体素总体平均,以比较这些范式在α和β波段的情况。此外,选择了七个感兴趣区域,进一步分析每个范式的平均电流源密度变化,并对动态和非动态范式进行统计分析。结果发现,与非动态范式相比,具有复杂想象任务的动态视觉辅助范式在核心运动相关区域刺激了更强的皮层活动,并在经典的额顶叶镜像区域触发了更广泛的激活。这些区域的参与对神经损伤患者运动功能障碍的恢复具有积极影响。