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移动 EEG 可识别真实活动中注意力的再分配。

Mobile EEG identifies the re-allocation of attention during real-world activity.

机构信息

University of Stirling, Psychology, Faculty of Natural Sciences, Stirling, FK9 4LA, United Kingdom.

出版信息

Sci Rep. 2019 Nov 1;9(1):15851. doi: 10.1038/s41598-019-51996-y.

Abstract

The distribution of attention between competing processing demands can have dramatic real-world consequences, however little is known about how limited attentional resources are distributed during real-world behaviour. Here we employ mobile EEG to characterise the allocation of attention across multiple sensory-cognitive processing demands during naturalistic movement. We used a neural marker of attention, the Event-Related Potential (ERP) P300 effect, to show that attention to targets is reduced when human participants walk compared to when they stand still. In a second experiment, we show that this reduction in attention is not caused by the act of walking per se. A third experiment identified the independent processing demands driving reduced attention to target stimuli during motion. ERP data reveals that the reduction in attention seen during walking reflects the linear and additive sum of the processing demands produced by visual and inertial stimulation. The mobile cognition approach used here shows how limited resources are precisely re-allocated according to the sensory processing demands that occur during real-world behaviour.

摘要

然而,人们对于在现实世界行为中注意力资源是如何分配的知之甚少。在这里,我们采用移动 EEG 技术来描述在自然运动过程中多个感觉-认知加工需求之间的注意力分配。我们使用注意力的神经标记物——事件相关电位(ERP)P300 效应,表明与站立相比,人类参与者在行走时对目标的注意力会降低。在第二个实验中,我们表明这种注意力的降低不是由行走本身引起的。第三个实验确定了在运动过程中导致对目标刺激注意力降低的独立加工需求。ERP 数据显示,行走时注意力的降低反映了视觉和惯性刺激产生的加工需求的线性和累加总和。这里使用的移动认知方法展示了在现实世界行为中,资源是如何根据发生的感觉加工需求精确地重新分配的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1652/6825178/8273cdaa8551/41598_2019_51996_Fig1_HTML.jpg

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