Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches.
Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches.
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在自然的三维伸展过程中，沿不同维度的视觉运动适应的统计决定因素
DOI：
10.1038/s41598-022-13866-y
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发表时间：
2022-06-17
影响因子：
4.6
通讯作者：
Gail, A.
中科院分区：
文献类型：
--
作者：
Ferrea, E.;Franke, J.;Morel, P.;Gail, A.
运动功能缺损患者的神经康复依赖于运动技能的重新学习或重新适应。然而，我们对运动学习的理解主要基于对高度受限运动的一维或二维实验范式的结果。由于日常运动是在三维空间中进行的，进一步了解重力或感知各向异性可能对相对于身体的所有不同维度的运动学习产生或不产生的影响是很重要的。在这里，我们测试现有的运动学习概念在多大程度上能推广到三维运动。我们探究受试者在运动规划和感觉感知方面的变异性如何影响沿三个不同身体轴的运动适应。为了提取变异性并将其与适应率相关联，我们采用了一种新颖的分层双态空间模型，通过哈密顿蒙特卡洛方法进行贝叶斯建模。我们的结果表明，冠状面、矢状面和水平面之间的适应率存在差异，并且可以用卡尔曼增益来解释，即一种统计上最优的解决方案，它整合了由其变异性的倒数加权的规划和感觉信息。这表明用于纠错的最优整合理论适用于三维运动，并解释了不同平面运动之间适应率的变化。
Neurorehabilitation in patients suffering from motor deficits relies on relearning or re-adapting motor skills. Yet our understanding of motor learning is based mostly on results from one or two-dimensional experimental paradigms with highly confined movements. Since everyday movements are conducted in three-dimensional space, it is important to further our understanding about the effect that gravitational forces or perceptual anisotropy might or might not have on motor learning along all different dimensions relative to the body. Here we test how well existing concepts of motor learning generalize to movements in 3D. We ask how a subject’s variability in movement planning and sensory perception influences motor adaptation along three different body axes. To extract variability and relate it to adaptation rate, we employed a novel hierarchical two-state space model using Bayesian modeling via Hamiltonian Monte Carlo procedures. Our results show that differences in adaptation rate occur between the coronal, sagittal and horizontal planes and can be explained by the Kalman gain, i.e., a statistically optimal solution integrating planning and sensory information weighted by the inverse of their variability. This indicates that optimal integration theory for error correction holds for 3D movements and explains adaptation rate variation between movements in different planes.
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影响因子：
64.8
作者：
Heald JB;Lengyel M;Wolpert DM
通讯作者：
Wolpert DM
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Wolpert, DM
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Diedrichsen, Joern;Shadmehr, Reza;Ivry, Richard B.
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