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首页> 外文期刊>Journal of healthcare engineering. >G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery
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G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery

机译:G因果关系大脑运动执行和运动图像之间手指运动的差异。

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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 377.3, 35.58.8, 36.310.3, and 39.29.0 and lowest Granger causality coefficients of 9.13.2, 10.93.7, 13.20.6, and 13.40.6 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.
机译:运动图像是已用于脑机接口和运动功能恢复的经典范例之一。基于手指运动的运动执行是复杂的生物力学体系结构,是建立日常生活中最复杂和自然活动的关键任务。一些患者在脑卒中后可能会出现偏瘫,并失去运动执行能力。幸运的是,可以独立保留运动图像的功能,并可以用作恢复运动功能的后门。运动成像在脑卒中后实现运动皮层显着恢复的功效仍是一个悬而未决的问题。在这项研究中,我们设计了一个新的范例来研究两种情况下的三十个手指运动的神经机制:运动执行和运动图像。 11名健康的参与者根据左右手指的运动两次进行或设想了30种手势。在我们提出的实验范式中,记录了60个试验中每个受试者的左右脑手指运动执行和图像的脑电图(EEG)信号。 Granger因果关系(G因果关系)分析方法用于分析对侧前运动,运动和感觉运动区域之间的大脑连通性及其强度。从运动前到运动期间,G因果关系试验的最高数字为377.3、35.58.8、36.310.3和39.29.0,最低格兰杰因果系数为9.13.2、10.93.7、13.20.6和13.40.6。右手指和左手指运动的执行/想象任务期间的运动区域。这些结果为基于手势的运动执行和运动图像提供了新的见解,这对于为部分甚至完全瘫痪的患者建立手指运动恢复的新生物标记可能有用。此外,在左手指执行/图像和右手指图像期间观察到G因果试验次数有显着差异,但在右手指执行阶段未观察到。在左手指执行和成像过程中观察到G因果系数的显着差异,但在右手指执行和成像阶段未观察到G因果系数的显着差异。这些结果表明,脑卒中后左右手患者应采取不同的基于MI的脑运动功能恢复策略。

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