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Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects

机译:与动态移动物体进行物理交互的移动大脑/身体成像(MoBI)

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摘要

The non-invasive recording and analysis of human brain activity during active movements in natural working conditions is a central challenge in Neuroergonomics research. Existing brain imaging approaches do not allow for an investigation of brain dynamics during active behavior because their sensors cannot follow the movement of the signal source. However, movements that require the operator to react fast and to adapt to a dynamically changing environment occur frequently in working environments like assembly-line work, construction trade, health care, but also outside the working environment like in team sports. Overcoming the restrictions of existing imaging methods would allow for deeper insights into neurocognitive processes at workplaces that require physical interactions and thus could help to adapt work settings to the user. To investigate the brain dynamics accompanying rapid volatile movements we used a visual oddball paradigm where participants had to react to color changes either with a simple button press or by physically pointing towards a moving target. Using a mobile brain/body imaging approach (MoBI) including independent component analysis (ICA) with subsequent backprojection of cluster activity allowed for systematically describing the contribution of brain and non-brain sources to the sensor signal. The results demonstrate that visual event-related potentials (ERPs) can be analyzed for simple button presses and physical pointing responses and that it is possible to quantify the contribution of brain processes, muscle activity and eye movements to the signal recorded at the sensor level even for fast volatile arm movements with strong jerks. Using MoBI in naturalistic working environments can thus help to analyze brain dynamics in natural working conditions and help improving unhealthy or inefficient work settings.
机译:在自然工作条件下主动运动过程中对人脑活动的无创记录和分析是神经人体工程学研究的主要挑战。现有的大脑成像方法不允许对行为活跃期间的大脑动力学进行研究,因为它们的传感器无法跟踪信号源的运动。但是,要求操作员快速做出反应并适应动态变化的环境的运动经常发生在诸如装配线工作,建筑贸易,医疗保健之类的工作环境中,而且也像在团队运动中那样在工作环境之外发生。克服现有成像方法的局限性将允许对需要物理交互的工作场所的神经认知过程有更深入的了解,从而可以帮助用户适应工作环境。为了研究伴随快速波动运动的大脑动力学,我们使用了视觉奇异球范例,参与者必须通过简单的按钮按压或通过物理指向移动的目标来对颜色变化做出反应。使用包括独立成分分析(ICA)的移动式大脑/身体成像方法(MoBI)和随后的群集活动反投影,可以系统地描述大脑和非大脑源对传感器信号的贡献。结果表明,可以分析视觉事件相关电位(ERP)以获得简单的按钮按下和物理指向响应,并且有可能量化大脑过程,肌肉活动和眼睛运动对传感器水平记录的信号的贡献强劲的抽搐使手臂运动快速快速。因此,在自然主义的工作环境中使用MoBI可以帮助分析自然工作条件下的大脑动力学,并有助于改善不健康或效率低下的工作环境。

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