YIG "Computational Motor Control and Learning", BioMotion Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology Karlsruhe, Germany.
Front Hum Neurosci. 2014 Apr 21;8:231. doi: 10.3389/fnhum.2014.00231. eCollection 2014.
Force field studies are a common tool to investigate motor adaptation and consolidation. Thereby, subjects usually adapt their reaching movements to force field perturbations induced by a robotic device. In this context, so-called catch trials, in which the disturbing forces are randomly turned off, are commonly used to detect after-effects of motor adaptation. However, catch trials also produce sudden large motor errors that might influence the motor adaptation and the consolidation process. Yet, the detailed influence of catch trials is far from clear. Thus, the aim of this study was to investigate the influence of catch trials on motor adaptation and consolidation in force field experiments. Therefore, 105 subjects adapted their reaching movements to robot-generated force fields. The test groups adapted their reaching movements to a force field A followed by learning a second interfering force field B before retest of A (ABA). The control groups were not exposed to force field B (AA). To examine the influence of diverse catch trial ratios, subjects received catch trials during force field adaptation with a probability of either 0, 10, 20, 30, or 40%, depending on the group. First, the results on motor adaptation revealed significant differences between the diverse catch trial ratio groups. With increasing amount of catch trials, the subjects' motor performance decreased and subjects' ability to accurately predict the force field-and therefore internal model formation-was impaired. Second, our results revealed that adapting with catch trials can influence the following consolidation process as indicated by a partial reduction to interference. Here, the optimal catch trial ratio was 30%. However, detection of consolidation seems to be biased by the applied measure of performance.
力场研究是一种常用于研究运动适应和巩固的工具。在这种情况下,通常通过机器人设备施加的力场干扰来让被试适应其运动。在这个背景下,通常会使用所谓的捕获试验,在这些试验中,干扰力会随机关闭,以检测运动适应的后效。然而,捕获试验也会产生突然的、较大的运动误差,这些误差可能会影响运动适应和巩固过程。然而,捕获试验的详细影响远未明确。因此,本研究的目的是研究捕获试验对力场实验中运动适应和巩固的影响。为此,我们让 105 名被试适应机器人产生的力场。实验组先适应力场 A,然后在重新测试 A 之前学习第二个干扰力场 B(ABA)。对照组没有暴露在力场 B 中(AA)。为了检验不同捕获试验比例的影响,被试在力场适应期间以 0、10、20、30 或 40%的概率接受捕获试验,这取决于他们所在的组。首先,在运动适应的结果中,我们发现不同捕获试验比例组之间存在显著差异。随着捕获试验数量的增加,被试的运动表现下降,他们准确预测力场的能力(因此内部模型形成)受损。其次,我们的结果表明,带有捕获试验的适应可以影响随后的巩固过程,这表现为干扰的部分减少。在这里,最佳的捕获试验比例为 30%。然而,巩固的检测似乎受到所应用的性能测量的影响。