Sharp Ian, Huang Felix C, Patton James L
University of Illinois at Chicago, 218 SEO, MC 063, 851 South Morgan Street, Chicago, Illinois 60607-7052, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5915-8. doi: 10.1109/IEMBS.2010.5627545.
Recent human motor learning and neuro-rehabilitation experiments have identified the benefits of assisting the learning process by artificially enhancing the errors one might experience. A yet untested question is just how far the nervous system will trust such treatments, especially in transformations with very large sensorimotor discrepancies. Our study asked 10 healthy subjects to perform targeted reaching in a virtual reality environment, where the transformation of the hand position matrix was a complete reversal - rotated 180 degrees about an arbitrary axis (hence 2 of the 3 coordinates are reversed). Our data show that after 500 practice trials, subject who received 2x Error Augmentation (EA) were able to reach their desired target 0.4 seconds more quickly and with a Maximum Perpendicular Trajectory deviation of 0.9 cm less, when compared to the control group. Furthermore, the manner in which subjects practiced was influenced by the error augmentation, resulting in more continuous motions for this group. These data further support that this type of enhancement, as well as possibly other distorted reality methods, may promote more complete adaptation/learning when compared to regular training.
最近的人体运动学习和神经康复实验已经证实，通过人为加大人们可能经历的误差来辅助学习过程是有益的。一个尚未得到验证的问题是，神经系统会在多大程度上信任这种治疗方法，尤其是在感觉运动差异非常大的转换过程中。我们的研究让10名健康受试者在虚拟现实环境中进行目标伸手动作，其中手部位置矩阵的转换是完全反转——绕任意轴旋转180度（因此三个坐标中的两个会反转）。我们的数据显示，经过500次练习试验后，与对照组相比，接受两倍误差增强（EA）的受试者能够更快0.4秒到达目标，且最大垂直轨迹偏差少0.9厘米。此外，受试者的练习方式受到误差增强的影响，该组的动作更加连贯。这些数据进一步证明，与常规训练相比，这种增强方式以及其他可能的扭曲现实方法，可能会促进更完全的适应/学习。
