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A Simple Technique to Study Embodied Language Processes: The Grip-Force Sensor

机译:研究嵌入式语言过程的一种简单技术:抓力传感器

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摘要

Research in cognitive neuroscience has shown that brain structures serving perceptual, emotional, and motor processes are also recruited during the understanding of language when it refers to emotion, perception, and action. However, the exact linguistic and extra-linguistic conditions under which such language-induced activity in modality specific cortex is triggered are not yet well understood. The purpose of this study is to introduce a simple experimental technique that allows for the online measure of language-induced activity in motor structures of the brain. This technique consists in the use of a grip force sensor that captures subtle grip force variations while subjects listen to words and sentences. Since grip force reflects activity in motor brain structures, the continuous monitoring of force fluctuations provides a fine-grained estimation of motor activity across time. In other terms, this method allows for both the localization of the source of language-induced activity to motor brain structures and the high temporal resolution of the recorded data. To facilitate comparison of data to be collected with this tool, we present two experiments that describe in detail the technical set up, the nature of the recorded data, and analyses (including justification about data filtering and artifact rejection) that we applied. We also discuss how the tool could be used in other domains of behavioral research.
机译:认知神经科学方面的研究表明,在理解语言的过程中,涉及情感,知觉和动作的大脑结构也会在感知,情感和运动过程中被募集。然而,还没有很好地理解触发语言在特定于情态的皮层中的这种活动的确切语言和语言外条件。这项研究的目的是介绍一种简单的实验技术,该技术可以在线测量语言在大脑运动结构中的活动。该技术包括使用抓握力传感器,该传感器在受试者听单词和句子时捕获细微的抓握力变化。由于握力反映了运动性大脑结构中的活动,因此对力波动的连续监控可提供跨时间的运动活动的细粒度估计。换句话说,该方法既可以将语言诱发的活动的源定位到运动脑结构,又可以使记录的数据具有较高的时间分辨率。为了便于比较使用此工具收集的数据,我们提供了两个实验,详细描述了技术设置,记录数据的性质以及我们应用的分析(包括有关数据过滤和伪像拒绝的理由)。我们还将讨论该工具如何用于行为研究的其他领域。

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