Gardner Esther P, Babu K Srinivasa, Ghosh Soumya, Sherwood Adam, Chen Jessie
Department of Physiology and Neuroscience, New York University School of Medicine, New York, NY 10016, USA.
J Neurophysiol. 2007 Dec;98(6):3708-30. doi: 10.1152/jn.00609.2007. Epub 2007 Oct 17.
Neurons in posterior parietal cortex (PPC) may serve both proprioceptive and exteroceptive functions during prehension, signaling hand actions and object properties. To assess these roles, we used digital video recordings to analyze responses of 83 hand-manipulation neurons in area 5 as monkeys grasped and lifted objects that differed in shape (round and rectangular), size (large and small spheres), and location (identical rectangular blocks placed lateral and medial to the shoulder). The task contained seven stages -- approach, contact, grasp, lift, hold, lower, relax -- plus a pretrial interval. The four test objects evoked similar spike trains and mean rate profiles that rose significantly above baseline from approach through lift, with peak activity at contact. Although representation by the spike train of specific hand actions was stronger than distinctions between grasped objects, 34% of these neurons showed statistically significant effects of object properties or hand postures on firing rates. Somatosensory input from the hand played an important role as firing rates diverged most prominently on contact as grasp was secured. The small sphere -- grasped with the most flexed hand posture -- evoked the highest firing rates in 43% of the population. Twenty-one percent distinguished spheres that differed in size and weight, and 14% discriminated spheres from rectangular blocks. Location in the workspace modulated response amplitude as objects placed across the midline evoked higher firing rates than positions lateral to the shoulder. We conclude that area 5 neurons, like those in area AIP, integrate object features, hand actions, and grasp postures during prehension.
后顶叶皮质(PPC)中的神经元在抓握过程中可能同时发挥本体感觉和外感受功能,传递手部动作和物体属性的信号。为了评估这些作用,我们使用数字视频记录来分析5区中83个手部操纵神经元的反应,实验中猴子抓取并举起形状(圆形和矩形)、大小(大球体和小球体)和位置(放置在肩部外侧和内侧的相同矩形块)不同的物体。该任务包含七个阶段——接近、接触、抓握、举起、保持、放下、放松——外加一个 pretrial 间隔。这四个测试物体引发了相似的尖峰序列和平均速率曲线,从接近到举起阶段,其显著高于基线水平,在接触时达到峰值活动。尽管尖峰序列对特定手部动作的表征强于对所抓握物体之间的区分,但这些神经元中有34%表现出物体属性或手部姿势对 firing 速率有统计学上的显著影响。当抓握稳固时,手部的体感输入起着重要作用,因为 firing 速率在接触时差异最为显著。小球体——以最弯曲的手部姿势抓握——在43%的神经元群体中引发了最高的 firing 速率。21%的神经元能够区分大小和重量不同的球体,14%的神经元能够区分球体和矩形块。工作空间中的位置调节了反应幅度,因为放置在中线两侧的物体比肩部外侧的位置引发更高的 firing 速率。我们得出结论,5区的神经元与AIP区的神经元一样,在抓握过程中整合了物体特征、手部动作和抓握姿势。