Department of Psychology, Concordia University, Montreal, Quebec H4B 1R6, Canada.
J Neurosci. 2010 Jun 16;30(24):8332-41. doi: 10.1523/JNEUROSCI.5569-09.2010.
Our capacity to learn movement sequences is fundamental to our ability to interact with the environment. Although different brain networks have been linked with different stages of learning, there is little evidence for how these networks change across learning. We used functional magnetic resonance imaging to identify the specific contributions of the cerebellum and primary motor cortex (M1) during early learning, consolidation, and retention of a motor sequence task. Performance was separated into two components: accuracy (the more explicit, rapidly learned, stimulus-response association component) and synchronization (the more procedural, slowly learned component). The network of brain regions active during early learning was dominated by the cerebellum, premotor cortex, basal ganglia, presupplementary motor area, and supplementary motor area as predicted by existing models. Across days of learning, as performance improved, global decreases were found in the majority of these regions. Importantly, within the context of these global decreases, we found specific regions of the left M1 and right cerebellar VIIIA/VIIB that were positively correlated with improvements in synchronization performance. Improvements in accuracy were correlated with increases in hippocampus, BA 9/10, and the putamen. Thus, the two behavioral measures, accuracy and synchrony, were found to be related to two different sets of brain regions-suggesting that these networks optimize different components of learning. In addition, M1 activity early on day 1 was shown to be predictive of the degree of consolidation on day 2. Finally, functional connectivity between M1 and cerebellum in late learning points to their interaction as a mechanism underlying the long-term representation and expression of a well learned skill.
我们学习运动序列的能力是与环境互动的基本能力。虽然已经确定了不同的大脑网络与学习的不同阶段有关,但几乎没有证据表明这些网络在学习过程中是如何变化的。我们使用功能磁共振成像来确定小脑和初级运动皮层(M1)在运动序列任务的早期学习、巩固和保持期间的特定贡献。表现分为两个组成部分:准确性(更明确、快速学习的刺激-反应关联成分)和同步性(更程序性、缓慢学习的成分)。正如现有模型所预测的那样,在早期学习期间活跃的大脑区域网络主要由小脑、运动前皮层、基底神经节、辅助运动区和辅助运动区组成。在学习的几天中,随着表现的提高,这些区域中的大多数都发现了全局减少。重要的是,在这些全局减少的背景下,我们发现了左侧 M1 和右侧小脑 VIIIA/VIIB 的特定区域与同步性能的提高呈正相关。准确性的提高与海马体、BA9/10 和壳核的增加有关。因此,这两个行为测量,准确性和同步性,被发现与两个不同的大脑区域有关,这表明这些网络优化了学习的不同组成部分。此外,第一天的 M1 活动被证明可以预测第二天的巩固程度。最后,晚期学习中 M1 和小脑之间的功能连接指向它们的相互作用,作为长期表现和表达良好学习技能的机制。