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首页> 外文期刊>Journal of vision >A new multivariate analysis method suggests timing is key factor in visually-guided reach-to-grasp movements
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A new multivariate analysis method suggests timing is key factor in visually-guided reach-to-grasp movements

机译:一种新的多元分析方法表明,时间是视觉引导的抓握运动的关键因素

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INTRODUCTION: Visually guided reach-to-grasp actions have been proposed to consist of distinct transport and grip components, which may result from the different visual properties required to guide them (location and object size and shape, respectively). However, kinematic studies of hand actions have typically investigated the effect of different conditions on dependent measures one at a time. We examined the interrelationships between various kinematic variables using a multivariate approach. In addition, we developed new measures of grip accuracy and tested how these related to standard reach-to-grasp variables. METHODS: Participants (n=24) performed reach-to-grasp or reach-to-touch movements upon different-sized rectangular objects. Our analysis involved correlating standard kinematic variables (e.g., maximum grip aperture, MGA, and peak velocity of reach, PV, and time at which they occurred, tMGA and tPV) and new grip accuracy variables (shift and orientation of initial grip) with one another across all trials for each subject. We applied a multivariate analysis [using similar logic as representational similarity analysis (RSA) used in fMRI] to test various models of reach-to-grasp components, including a transport-grip model which predicts strong correlations within (but not between) traditional transport and grip and a timing-based model which predicts strong correlations between variables associated with the timing of movement. RESULTS: Our timing-based model of reach-to-grasp movements, but not the transport-grip model, showed strong correlation with the data. Furthermore, as opposed to our hypothesis, participants did not display larger grips on trials where their grip accuracy was low. CONCLUSION: Though standard kinematic measures used in studying reach-to-grasp movements (e.g., PV, MGA) have been theoretically divided into transport and grip variables, these variables do not explain the relationships between variables. The development of new measures of grip accuracy and new applications of multivariate analyses open up new questions for kinematic studies of reach-to-grasp movements in clinical populations and healthy controls.
机译:简介:已提出视觉引导的抓握动作由不同的运输和抓握组件组成,这可能是由指导它们所需的不同视觉属性(分别为位置和物体的大小和形状)导致的。但是,对手部动作的运动学研究通常会一次研究不同条件对相关措施的影响。我们使用多元方法研究了各种运动学变量之间的相互关系。此外,我们开发了抓地力精度的新指标,并测试了这些指标与标准触及范围变量之间的关系。方法:参与者(n = 24)对不同大小的矩形对象执行了可抓握或可触摸的动作。我们的分析涉及将标准运动学变量(例如,最大抓地力孔径,MGA和最大到达速度,PV及其发生时间,tMGA和tPV)与新的抓地力精度变量(初始抓地力的偏移和方向)相关联每个主题的所有试验中的另一个。我们应用了多变量分析(使用与功能磁共振成像中使用的相似性作为表示相似性分析(RSA)的逻辑)来测试各种可抓握组件模型,包括预测传统运输内部(但不是传统运输之间)强相关性的运输把手模型抓地力和基于时间的模型可预测与运动时间相关的变量之间的强烈相关性。结果:我们的基于时间的抓地力运动模型(而非运输抓地力模型)与数据具有很强的相关性。此外,与我们的假设相反,参与者在抓地力准确性低的试验中并未表现出更大的抓地力。结论:虽然理论上将用于研究可抓握运动的标准运动学测量方法(例如PV,MGA)分为运输和抓地力变量,但这些变量不能解释变量之间的关系。抓握精度的新度量的发展和多元分析的新应用为临床人群和健康对照者的达到抓握运动的运动学研究提出了新的问题。

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