Suppr超能文献

个体本体感受差异预测内隐感觉运动适应的程度。

Individual differences in proprioception predict the extent of implicit sensorimotor adaptation.

机构信息

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

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

出版信息

J Neurophysiol. 2021 Apr 1;125(4):1307-1321. doi: 10.1152/jn.00585.2020. Epub 2021 Mar 3.

Abstract

Recent studies have revealed an upper bound in motor adaptation, beyond which other learning systems may be recruited. The factors determining this upper bound are poorly understood. The multisensory integration hypothesis states that this limit arises from opposing responses to visual and proprioceptive feedback. As individuals adapt to a visual perturbation, they experience an increasing proprioceptive error in the opposite direction, and the upper bound is the point where these two error signals reach an equilibrium. Assuming that visual and proprioceptive feedback are weighted according to their variability, there should be a correlation between proprioceptive variability and the limits of adaptation. Alternatively, the proprioceptive realignment hypothesis states that the upper bound arises when the (visually biased) sensed hand position realigns with the expected sensed position (target). When a visuo-proprioceptive discrepancy is introduced, the sensed hand position is biased toward the visual cursor, and the adaptive system counteracts this discrepancy by driving the hand away from the target. This hypothesis predicts a correlation between the size of the proprioceptive shift and the upper bound of adaptation. We tested these two hypotheses by considering natural variation in proprioception and motor adaptation across individuals. We observed a modest, yet reliable correlation between the upper bound of adaptation with proprioceptive measures (variability and shift). Although the results do not clearly favor one hypothesis over the other, they underscore the critical role of proprioception in sensorimotor adaptation. Although the sensorimotor system uses sensory feedback to remain calibrated, this learning process is constrained, limited by the maximum degree of plasticity. The factors determining this limit remain elusive. Guided by two hypotheses, we show that individual differences in the upper bound of adaptation in response to a visual perturbation can be predicted by the bias and variability in proprioception. These results underscore the critical, but often neglected role of proprioception in human motor learning.

摘要

最近的研究揭示了运动适应的上限,超过这个上限,其他学习系统可能会被招募进来。决定这个上限的因素还不太清楚。多感觉整合假说指出,这种限制来自于对视觉和本体感觉反馈的相反反应。当个体适应视觉干扰时,他们会在相反的方向上经历越来越大的本体感觉错误,而上限是这两个错误信号达到平衡的点。假设视觉和本体感觉反馈根据其可变性进行加权,那么本体感觉的可变性和适应的极限之间应该存在相关性。或者,本体感觉重新调整假说指出,当(视觉偏向的)感知手位置与预期感知位置(目标)重新对齐时,上限就会出现。当引入视动感觉差异时,感知手位置会偏向视觉光标,适应系统通过将手从目标处拉开来抵消这种差异。这个假说预测了本体感觉移位的大小与适应上限之间的相关性。我们通过考虑个体之间的本体感觉和运动适应的自然变化来检验这两个假说。我们观察到适应上限与本体感觉测量值(可变性和移位)之间存在适度但可靠的相关性。尽管结果并没有明显偏向于其中一个假说,但它们强调了本体感觉在感觉运动适应中的关键作用。尽管感觉运动系统使用感觉反馈来保持校准,但这个学习过程是受限制的,受到最大可塑性的限制。决定这个限制的因素仍然难以捉摸。在两个假说的指导下,我们表明,对视觉干扰的适应上限的个体差异可以通过本体感觉的偏差和可变性来预测。这些结果强调了本体感觉在人类运动学习中关键但经常被忽视的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e842/8282225/2b57911f7b14/jn-00585-2020r01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验