Department of Psychology, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada.
Department of Psychology, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada
J Neurosci. 2021 Nov 3;41(44):9210-9222. doi: 10.1523/JNEUROSCI.0992-21.2021. Epub 2021 Sep 22.
Current understanding of the neural processes underlying human grasping suggests that grasp computations involve gradients of higher to lower level representations and, relatedly, visual to motor processes. However, it is unclear whether these processes evolve in a strictly canonical manner from higher to intermediate and to lower levels given that this knowledge importantly relies on functional imaging, which lacks temporal resolution. To examine grasping in fine temporal detail here we used multivariate EEG analysis. We asked participants to grasp objects while controlling the time at which crucial elements of grasp programs were specified. We first specified the orientation with which participants should grasp objects, and only after a delay we instructed participants about which effector to use to grasp, either the right or the left hand. We also asked participants to grasp with both hands because bimanual and left-hand grasping share intermediate-level grasp representations. We observed that grasp programs evolved in a canonical manner from visual representations, which were independent of effectors to motor representations that distinguished between effectors. However, we found that intermediate representations of effectors that partially distinguished between effectors arose after representations that distinguished among all effector types. Our results show that grasp computations do not proceed in a strictly hierarchically canonical fashion, highlighting the importance of the fine temporal resolution of EEG for a comprehensive understanding of human grasp control. A long-standing assumption of the grasp computations is that grasp representations progress from higher to lower level control in a regular, or canonical, fashion. Here, we combined EEG and multivariate pattern analysis to characterize the temporal dynamics of grasp representations while participants viewed objects and were subsequently cued to execute an unimanual or bimanual grasp. Interrogation of the temporal dynamics revealed that lower level effector representations emerged before intermediate levels of grasp representations, thereby suggesting a partially noncanonical progression from higher to lower and then to intermediate level grasp control.
目前,人们对人类抓握所涉及的神经过程的理解表明,抓握计算涉及从高级到低级表示的梯度,以及与之相关的从视觉到运动的过程。然而,由于这些知识主要依赖于功能成像,而功能成像缺乏时间分辨率,因此尚不清楚这些过程是否会以严格的规范方式从高级到中级和低级演变。为了更精细地研究抓握的时间细节,我们在这里使用了多变量脑电图分析。我们要求参与者在控制抓握程序关键要素指定时间的情况下抓握物体。我们首先指定参与者应该以何种方向抓握物体,然后在延迟之后,我们指示参与者使用右手或左手来抓握。我们还要求参与者用双手抓握,因为双手抓握和左手抓握共享中级抓握表示。我们发现,抓握程序以规范的方式从视觉表示发展而来,这些视觉表示独立于区分左右手的运动表示。然而,我们发现,部分区分左右手的中间效应器表示出现在区分所有效应器类型的表示之后。我们的研究结果表明,抓握计算并非以严格的层级规范方式进行,这突显了脑电图的精细时间分辨率对于全面理解人类抓握控制的重要性。长期以来,抓握计算的一个假设是,抓握表示以规则的或规范的方式从高级向低级控制发展。在这里,我们结合脑电图和多变量模式分析来描述参与者观看物体后,被提示执行单手或双手抓握时抓握表示的时间动态。对时间动态的分析表明,较低水平的效应器表示出现在中级抓握表示之前,这表明从高级到低级、然后到中级水平的抓握控制存在部分非规范的进展。