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意志性目标导向伸手的分离的、依使用而定的过程。

Dissociable use-dependent processes for volitional goal-directed reaching.

机构信息

Department of Psychology, University of California, Berkeley, USA.

Helen Wills Neuroscience Institute, University of California, Berkeley, USA.

出版信息

Proc Biol Sci. 2022 Apr 27;289(1973):20220415. doi: 10.1098/rspb.2022.0415.

Abstract

Repetition of specific movement biases subsequent actions towards the practiced movement, a phenomenon known as use-dependent learning (UDL). Recent experiments that impose strict constraints on planning time have revealed two sources of use-dependent biases, one arising from dynamic changes occurring during motor planning and another reflecting a stable shift in motor execution. Here, we used a distributional analysis to examine the contribution of these biases in reaching. To create the conditions for UDL, the target appeared at a designated 'frequent' location on most trials, and at one of six 'rare' locations on other trials. Strikingly, the heading angles were bimodally distributed, with peaks at both frequent and rare target locations. Despite having no constraints on planning time, participants exhibited a robust bias towards the frequent target when movements were self-initiated quickly, the signature of a planning bias; notably, the peak near the rare target was shifted in the frequently practiced direction, the signature of an execution bias. Furthermore, these execution biases were not only replicated in a delayed-response task but were also insensitive to reward. Taken together, these results extend our understanding of how volitional movements are influenced by recent experience.

摘要

重复特定的运动偏差会使后续动作趋向于已练习的运动,这种现象被称为使用依赖性学习(UDL)。最近的实验对规划时间施加了严格的限制,揭示了使用依赖性偏差的两个来源,一个源于运动规划过程中发生的动态变化,另一个反映了运动执行中的稳定转变。在这里,我们使用分布分析来检查这些偏差在到达中的贡献。为了创造 UDL 的条件,目标在大多数试验中出现在指定的“频繁”位置,而在其他试验中出现在六个“罕见”位置之一。引人注目的是,朝向角度呈双峰分布,在频繁和罕见的目标位置都有峰值。尽管没有规划时间的限制,但当参与者快速自主发起运动时,他们表现出强烈的偏向于频繁目标的趋势,这是规划偏差的特征;值得注意的是,靠近罕见目标的峰值向经常练习的方向移动,这是执行偏差的特征。此外,这些执行偏差不仅在延迟反应任务中得到了复制,而且对奖励也不敏感。综上所述,这些结果扩展了我们对自愿运动如何受到近期经验影响的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8077/9043705/f144bd78a0fc/rspb20220415f01.jpg

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