Schweighofer Nicolas, Xiao Yupeng, Kim Sujin, Yoshioka Toshinori, Gordon James, Osu Rieko
Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California;
Neuroscience Graduate Program, University of Southern California, Los Angeles, California; and.
J Neurophysiol. 2015 Jul;114(1):551-9. doi: 10.1152/jn.00593.2014. Epub 2015 May 6.
How do humans choose one arm or the other to reach single targets in front of the body? Current theories of reward-driven decisionmaking predict that choice results from a comparison of "action values," which are the expected rewards for possible actions in a given state. In addition, current theories of motor control predict that in planning arm movements, humans minimize an expected motor cost that balances motor effort and endpoint accuracy. Here, we test the hypotheses that arm choice is determined by comparison of action values comprising expected effort and expected task success for each arm, as well as a handedness bias. Right-handed subjects, in either a large or small target condition, were first instructed to use each hand in turn to shoot through an array of targets and then to choose either hand to shoot through the same targets. Effort was estimated via inverse kinematics and dynamics. A mixed-effects logistic-regression analysis showed that, as predicted, both expected effort and expected success predicted choice, as did arm use in the preceding trial. Finally, individual parameter estimation showed that the handedness bias correlated with mean difference between right- and left-arm success, leading to overall lower use of the left arm. We discuss our results in light of arm nonuse in individuals' poststroke.
人类如何选择一只手臂去够身体前方的单个目标?当前关于奖励驱动决策的理论预测,选择是由“动作值”的比较产生的,动作值是给定状态下可能动作的预期奖励。此外,当前的运动控制理论预测,在规划手臂运动时,人类会将预期的运动成本最小化,该成本平衡了运动努力和终点准确性。在这里,我们测试以下假设:手臂选择是通过比较包括每只手臂的预期努力和预期任务成功率的动作值以及利手偏差来确定的。右利手受试者,在大目标或小目标条件下,首先被指示依次用每只手穿过一系列目标,然后选择任意一只手穿过相同的目标。通过逆运动学和动力学估计努力程度。混合效应逻辑回归分析表明,正如预测的那样,预期努力和预期成功率都能预测选择,前一次试验中使用的手臂也是如此。最后,个体参数估计表明,利手偏差与右臂和左臂成功率的平均差异相关,导致左臂的总体使用频率较低。我们根据个体中风后的手臂不用现象来讨论我们的结果。