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与动态移动物体进行物理交互的移动脑/体成像(MoBI)

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

作者信息

Jungnickel Evelyn, Gramann Klaus

机构信息

Department of Psychology and Ergonomics, Biological Psychology and Neuroergonomics, Institute of Psychology and Ergonomics, Berlin Institute of Technology Berlin, Germany.

Department of Psychology and Ergonomics, Biological Psychology and Neuroergonomics, Institute of Psychology and Ergonomics, Berlin Institute of TechnologyBerlin, Germany; Center for Advanced Neurological Engineering, University of CaliforniaSan Diego, CA, USA.

出版信息

Front Hum Neurosci. 2016 Jun 27;10:306. doi: 10.3389/fnhum.2016.00306. eCollection 2016.

Abstract

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.

摘要

在自然工作条件下主动运动期间对人类大脑活动进行无创记录和分析是神经工效学研究中的一项核心挑战。现有的脑成像方法无法对主动行为期间的脑动力学进行研究,因为其传感器无法跟踪信号源的运动。然而,要求操作员快速做出反应并适应动态变化环境的运动在诸如装配线工作、建筑行业、医疗保健等工作环境中经常发生,在团队运动等工作环境之外也会出现。克服现有成像方法的限制将有助于更深入地了解需要身体互动的工作场所中的神经认知过程,从而有助于使工作环境适应用户。为了研究伴随快速多变运动的脑动力学,我们使用了一种视觉Oddball范式,参与者必须通过简单的按键操作或实际指向移动目标来对颜色变化做出反应。使用包括独立成分分析(ICA)以及随后对聚类活动进行反投影的移动脑/体成像方法(MoBI),能够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,对于简单的按键操作和实际指向反应,可以分析视觉事件相关电位(ERP),并且即使对于伴有强烈抖动的快速多变手臂运动,也能够在传感器层面量化大脑过程、肌肉活动和眼球运动对记录信号的贡献。因此,在自然工作环境中使用MoBI有助于分析自然工作条件下的脑动力学,并有助于改善不健康或低效的工作环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d74/4921999/5b75e5460a70/fnhum-10-00306-g0001.jpg

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