School of Biological and Health Systems Engineering, Arizona State Univ, Tempe, AZ 85287-9709, USA.
J Neurophysiol. 2013 Jun;109(12):2937-46. doi: 10.1152/jn.00060.2013. Epub 2013 Apr 3.
For successful object manipulation, the central nervous system must appropriately coordinate digit placement and force distribution. It is known that digit force planning is significantly influenced by previous manipulations even when object properties cannot be predicted on a trial-to-trial basis. We sought to determine whether this effect extends beyond force control to the coordination of digit placement and force. Subjects grasped and lifted an object whose center of mass (CM) was changed unpredictably across trials. Grasp planning was quantified by measuring the torque generated on the object at lift onset. We found that both digit placement and force were systematically affected by the CM experienced on the previous trial. Additionally, the negative covariation between digit forces and positions typically found for predictable CM presentations was also found for unpredictable CM trials. A follow-up experiment revealed that these effects were not dependent on visual feedback of object roll during object lift on the previous trial. We conclude that somatosensory feedback from previous grasp experience alone can affect high-level grasp planning by constraining the relation between digit force and position even when the task behavioral consequences cannot be reliably predicted. As learning of manipulations often involves interactions with objects in novel environments, the present findings are an important step to understanding the control strategies associated with the integration of sensorimotor memories and motor planning.
为了成功地进行物体操作,中枢神经系统必须适当地协调手指的放置和力量的分布。众所周知,即使在无法预测物体属性的情况下,数字力规划也会受到先前操作的显著影响。我们试图确定这种影响是否超出了力量控制的范围,延伸到了手指放置和力量的协调。实验中,被试者抓取并提起一个物体,该物体的质心(CM)在试验中不可预测地变化。通过测量物体在提起瞬间产生的扭矩,来量化抓握规划。我们发现,在前一次试验中经历的 CM 会系统地影响手指的放置和力量。此外,对于可预测的 CM 呈现,通常会发现数字力和位置之间的负协变关系,在不可预测的 CM 试验中也会发现这种关系。后续实验表明,这些影响不依赖于前一次试验中物体提起过程中对象滚动的视觉反馈。我们的结论是,仅从前一次抓握经验中的躯体感觉反馈就可以通过限制数字力和位置之间的关系来影响高水平的抓握规划,即使无法可靠地预测任务的行为后果。由于操作的学习通常涉及与新环境中的物体相互作用,因此,本研究结果是理解与感觉运动记忆整合和运动规划相关的控制策略的重要一步。