Department of Physiology and Neuroscience, New York University School of Medicine, New York, NY 10016, USA.
J Neurophysiol. 2009 Dec;102(6):3310-28. doi: 10.1152/jn.90942.2008. Epub 2009 Sep 30.
Studies of hand manipulation neurons in posterior parietal cortex of monkeys suggest that their spike trains represent objects by the hand postures needed for grasping or by the underlying patterns of muscle activation. To analyze the role of hand kinematics and object properties in a trained prehension task, we correlated the firing rates of neurons in anterior area 5 with hand behaviors as monkeys grasped and lifted knobs of different shapes and locations in the workspace. Trials were divided into four classes depending on the approach trajectory: forward, lateral, and local approaches, and regrasps. The task factors controlled by the animal-how and when he used the hand-appeared to play the principal roles in modulating firing rates of area 5 neurons. In all, 77% of neurons studied (58/75) showed significant effects of approach style on firing rates; 80% of the population responded at higher rates and for longer durations on forward or lateral approaches that included reaching, wrist rotation, and hand preshaping prior to contact, but only 13% distinguished the direction of reach. The higher firing rates in reach trials reflected not only the arm movements needed to direct the hand to the target before contact, but persisted through the contact, grasp, and lift stages. Moreover, the approach style exerted a stronger effect on firing rates than object features, such as shape and location, which were distinguished by half of the population. Forty-three percent of the neurons signaled both the object properties and the hand actions used to acquire them. However, the spread in firing rates evoked by each knob on reach and no-reach trials was greater than distinctions between different objects grasped with the same approach style. Our data provide clear evidence for synergies between reaching and grasping that may facilitate smooth, coordinated actions of the arm and hand.
对猴子后顶叶皮层中手部操作神经元的研究表明,它们的尖峰序列通过抓取所需的手部姿势或潜在的肌肉激活模式来表示物体。为了分析手运动学和物体属性在训练有素的抓握任务中的作用,我们将猴子抓取和提起工作空间中不同形状和位置的旋钮时前区域 5 中的神经元的放电率与手部行为相关联。根据接近轨迹将试验分为四类:前向、侧向和局部接近以及再抓握。动物控制的任务因素——他如何以及何时使用手——似乎在调节区域 5 神经元的放电率方面发挥了主要作用。在所有研究的神经元中(75 个中的 58 个),有 77%的神经元表现出显著的接近方式对放电率的影响;80%的神经元对包括到达、手腕旋转和接触前手预成型在内的前向或侧向接近的反应速率更高,持续时间更长,但只有 13%的神经元可以区分到达的方向。在到达试验中,更高的放电率不仅反映了在接触前将手臂运动引导到手的目标所需要的运动,而且在接触、抓握和提升阶段都持续存在。此外,接近方式对放电率的影响比物体特征(如形状和位置)更强,只有一半的神经元可以区分物体特征。43%的神经元同时发出物体特征和用于获取它们的手部动作信号。然而,在到达和未到达试验中,每个旋钮引起的放电率变化比用相同接近方式抓取的不同物体之间的差异更大。我们的数据为手臂和手的协调动作提供了清晰的证据,表明了到达和抓握之间的协同作用。