Center for Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania 15260.
Center for the Neural Basis of Cognition, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania 15213.
J Neurosci. 2019 Aug 28;39(35):6968-6977. doi: 10.1523/JNEUROSCI.2669-18.2019. Epub 2019 Jul 11.
As a sequence of movements is learned, serially ordered actions get bound together into sets to reduce computational complexity during planning and execution. Here, we investigated how actions become naturally bound over the course of learning and how this learning affects cortical representations of individual actions. Across 5 weeks of practice, neurologically healthy human subjects learned either a complex 32-item sequence of finger movements (trained group, = 9; 3 female) or randomly ordered actions (control group, = 9; 3 female). Over the course of practice, responses during sequence production in the trained group became temporally correlated, consistent with responses being bound together under a common command. These behavioral changes, however, did not coincide with plasticity in the multivariate representations of individual finger movements, assessed using fMRI, at any level of the cortical motor hierarchy. This suggests that the representations of individual actions remain stable, even as the execution of those same actions become bound together in the context of producing a well learned sequence. Extended practice on motor sequences results in highly stereotyped movement patterns that bind successive movements together. This binding is critical for skilled motor performance, yet it is not currently understood how it is achieved in the brain. We examined how binding altered the patterns of activity associated with individual movements that make up the sequence. We found that fine finger control during sequence production involved correlated activity throughout multiple motor regions; however, we found no evidence for plasticity of the representations of elementary movements. This suggests that binding is associated with plasticity at a more abstract level of the motor hierarchy.
随着动作序列的学习,连续有序的动作被绑定在一起,以减少规划和执行过程中的计算复杂性。在这里,我们研究了动作如何在学习过程中自然地被绑定,以及这种学习如何影响单个动作的皮质代表。在 5 周的练习中,神经健康的人类受试者学习了复杂的 32 项手指运动序列(训练组,n=9;3 名女性)或随机排列的动作(对照组,n=9;3 名女性)。在练习过程中,训练组在序列生成过程中的反应变得具有时间相关性,这与在共同命令下将反应绑定在一起一致。然而,这些行为变化并没有与使用 fMRI 评估的单个手指运动的多变量表示的可塑性相吻合,在皮质运动层次结构的任何水平上都是如此。这表明,即使在执行相同的动作在上下文产生一个很好的学习序列时被绑定在一起,个体动作的表示仍然保持稳定。对运动序列的扩展练习会导致高度刻板的运动模式,将连续的动作绑定在一起。这种绑定对于熟练的运动表现至关重要,但目前尚不清楚它是如何在大脑中实现的。我们研究了绑定如何改变组成序列的单个运动的活动模式。我们发现,在序列生成过程中,精细的手指控制涉及多个运动区域的相关活动;然而,我们没有发现基本运动表示的可塑性的证据。这表明绑定与运动层次结构的更抽象层次的可塑性有关。