Wiestler Tobias, Diedrichsen Jörn
Institute of Cognitive Neuroscience , University College London , London , United Kingdom.
Elife. 2013 Jul 9;2:e00801. doi: 10.7554/eLife.00801.
Motor-skill learning can be accompanied by both increases and decreases in brain activity. Increases may indicate neural recruitment, while decreases may imply that a region became unimportant or developed a more efficient representation of the skill. These overlapping mechanisms make interpreting learning-related changes of spatially averaged activity difficult. Here we show that motor-skill acquisition is associated with the emergence of highly distinguishable activity patterns for trained movement sequences, in the absence of average activity increases. During functional magnetic resonance imaging, participants produced either four trained or four untrained finger sequences. Using multivariate pattern analysis, both untrained and trained sequences could be discriminated in primary and secondary motor areas. However, trained sequences were classified more reliably, especially in the supplementary motor area. Our results indicate skill learning leads to the development of specialized neuronal circuits, which allow the execution of fast and accurate sequential movements without average increases in brain activity. DOI:http://dx.doi.org/10.7554/eLife.00801.001.
运动技能学习可能伴随着大脑活动的增加和减少。活动增加可能表明神经被招募，而活动减少可能意味着一个区域变得不再重要或形成了对该技能更有效的表征。这些重叠的机制使得解释与学习相关的空间平均活动变化变得困难。在这里，我们表明，在没有平均活动增加的情况下，运动技能的习得与训练过的运动序列出现高度可区分的活动模式有关。在功能磁共振成像期间，参与者执行四个训练过的或四个未训练过的手指序列。使用多变量模式分析，未训练的和训练过的序列都可以在初级和次级运动区域中被区分。然而，训练过的序列分类更可靠，尤其是在辅助运动区域。我们的结果表明，技能学习会导致专门神经元回路的发展，这些回路能够在大脑活动没有平均增加的情况下执行快速而准确的连续动作。DOI:http://dx.doi.org/10.7554/eLife.00801.001
