Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA, USA; Neurology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA, USA; Neurology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
Neuron. 2022 Jan 5;110(1):154-174.e12. doi: 10.1016/j.neuron.2021.10.002. Epub 2021 Oct 21.
The human hand is unique in the animal kingdom for unparalleled dexterity, ranging from complex prehension to fine finger individuation. How does the brain represent such a diverse repertoire of movements? We evaluated mesoscale neural dynamics across the human "grasp network," using electrocorticography and dimensionality reduction methods, for a repertoire of hand movements. Strikingly, we found that the grasp network represented both finger and grasping movements alike. Specifically, the manifold characterizing the multi-areal neural covariance structure was preserved during all movements across this distributed network. In contrast, latent neural dynamics within this manifold were surprisingly specific to movement type. Aligning latent activity to kinematics further uncovered distinct submanifolds despite similarities in synergistic coupling of joints between movements. We thus find that despite preserved neural covariance at the distributed network level, mesoscale dynamics are compartmentalized into movement-specific submanifolds; this mesoscale organization may allow flexible switching between a repertoire of hand movements.
人类的手在动物王国中独一无二，其无与伦比的灵活性可用于完成从复杂抓握到精细手指区分的各种动作。大脑如何表示如此多样化的运动范围？我们使用脑电描记术和降维方法评估了人类“抓握网络”中的中尺度神经动力学，以涵盖一系列手部运动。引人注目的是，我们发现抓握网络同样可以表示手指和抓握运动。具体来说，在整个分布式网络中，描述多区域神经协方差结构的流形保持不变。相比之下，该流形内的潜在神经动力学对于运动类型非常具体。将潜在活动与运动学对齐，尽管在运动之间的关节协同耦合方面存在相似之处，但仍揭示了不同的子流形。因此，尽管在分布式网络级别上保持了神经协方差，但中尺度动力学仍被分隔成运动特异性的子流形；这种中尺度组织可能允许在手运动的一系列动作之间灵活切换。
