手动作准备过程中功能连接和激活的调节

Lin Cheng, H. Ayaz, Junfeng Sun, S. Tong, B. Onaral
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引用次数: 9

摘要

我们的研究结果表明,在休息和手部运动之间的过渡时期,运动相关脑区和高级认知脑区之间的功能连通性增强。这些结果表明,在过渡时期,感觉运动网络与前额叶区域相互作用以维持准备状态。实际运动和没有实际运动的过渡时期都能调节大脑活动。捕捉动作意图的详细关系可以提高基于预期的脑机接口的精度和延迟。此外,与神经工效学方法一致,本研究表明,功能近红外光谱是一种适合区域特异性、任务相关和静息状态功能连接分析的工具。我们的发现可以促进在不同领域的人类和机器系统之间更直观和自然的界面的发展。这里提出的方法可以帮助创造辅助设备来感知和预测操作员的动作意图。技术摘要简介:传统和新一代的神经成像技术允许观察在休息和身体运动执行之间的过渡时期大脑活动的调节。深入了解这些转变过程中的大脑活动和功能连接变化,有助于提高基于预期的脑机接口的精度和减少延迟,并从总体上改善人-系统集成。与神经人体工程学方法一致,功能性近红外光谱可以在广泛的身体运动和现实环境中使用可穿戴和便携式传感器监测外皮层。方法:对19名健康受试者在休息、开合拳任务和任务前的过渡时期进行功能近红外光谱监测。功能连通性分析用于评估任务前的过渡期如何调节大脑活动。结果:在过渡期内,右背外侧前额叶皮层与对侧初级体感皮层和初级运动皮层之间的功能连通性有所增加,以及对侧初级体感皮层与同侧初级体感皮层和初级运动皮层之间的功能连通性有所增加。位于感觉运动网络和右背外侧前额叶皮层的区域也被发现在过渡期间被激活。结论:这些结果表明,在过渡时期,感觉运动网络与高级认知脑网络相互作用以维持准备状态。此外,功能近红外光谱是一种新兴的工具,非常适合于区域特定任务相关和静息状态功能连接分析。这里提出的结果和方法表明,操作员的移动意图可以在实际移动之前被检测到,并且可以用于开发人机系统之间更直观和自然的界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modulation of Functional Connectivity and Activation during Preparation for Hand Movement
OCCUPATIONAL APPLICATIONS Our results illustrate the enhanced functional connectivity between motor-related brain regions and high-level cognitive brain regions during the transition period between rest and hand movements. These results suggest that the sensorimotor network is interacting with prefrontal areas during the transition period to maintain the preparation state. Both actual movement and the transition period without actual movement modulate brain activities. Capturing the detailed relationship of movement intention could be utilized to improve precision and latency of anticipation-based brain–computer interfaces. Furthermore, consistent with the neuroergonomic approach, this study demonstrates that functional near-infrared spectroscopy is a suitable tool for region-specific, task-related, and resting-state functional connectivity analysis. Our findings could enhance the development of more intuitive and natural interfaces between human and machine systems in diverse areas. The approach presented here could help create assistive devices that perceive and predict operators' intention of movements. TECHNICAL ABSTRACT Introduction: Traditional and new generations of neuroimaging techniques allow observing the modulation of brain activities during transition periods between rest and physical movement execution. A thorough understanding of the brain activity and functional connectivity changes during these transitions could contribute to increasing the precision and decreasing the latency of anticipation-based brain–computer interfaces, and improving human-system integration in general. Consistent with the neuroergonomic approach, functional near-infrared spectroscopy can monitor the outer cortex during extensive physical movement and in realistic settings using wearable and portable sensors. Methods: In this study, 19 healthy subjects were monitored with functional near-infrared spectroscopy during rest, a fist opening and closing task, and the transition period preceding the task. Functional connectivity analysis was used to evaluate how the transition period preceding the task modulated the brain activities. Results: There were several increases in functional connectivity during the transition period, especially between the right dorsolateral prefrontal cortex and the contralateral primary somatosensory and primary motor cortices, as well as the functional connectivity connecting the contralateral primary somatosensory cortex with the ipsilateral primary somatosensory cortex and the primary motor cortex. Regions located in the sensorimotor networks and right dorsolateral prefrontal cortex were also found to be activated during the transition period. Conclusions: These results demonstrate that the sensorimotor network is interacting with the high-level cognitive brain network during the transition period to maintain the preparation state. Furthermore, functional near-infrared spectroscopy is an emerging tool well-suited for region specific task-related and resting-state functional connectivity analysis. The results and the approach presented here suggest that operators' intention to move can be detected before the actual movement, and that could be employed for development of more intuitive and natural interfaces between human and machine systems.
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