Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305-5719, USA.
Dev Sci. 2011 Sep;14(5):989-1001. doi: 10.1111/j.1467-7687.2011.01055.x. Epub 2011 Apr 25.
Cognitive development and learning are characterized by diminished reliance on effortful procedures and increased use of memory-based problem solving. Here we identify the neural correlates of this strategy shift in 7-9-year-old children at an important developmental period for arithmetic skill acquisition. Univariate and multivariate approaches were used to contrast brain responses between two groups of children who relied primarily on either retrieval or procedural counting strategies. Children who used retrieval strategies showed greater responses in the left ventrolateral prefrontal cortex; notably, this was the only brain region which showed univariate differences in signal intensity between the two groups. In contrast, multivariate analysis revealed distinct multivoxel activity patterns in bilateral hippocampus, posterior parietal cortex and left ventrolateral prefrontal cortex regions between the two groups. These results demonstrate that retrieval and counting strategies during early learning are characterized by distinct patterns of activity in a distributed network of brain regions involved in arithmetic problem solving and controlled retrieval of arithmetic facts. Our findings suggest that the reorganization and refinement of neural activity patterns in multiple brain regions plays a dominant role in the transition to memory-based arithmetic problem solving. Our findings further demonstrate how multivariate approaches can provide novel insights into fine-scale developmental changes in the brain. More generally, our study illustrates how brain imaging and developmental research can be integrated to investigate fundamental aspects of neurocognitive development.
认知发展和学习的特点是减少对费力程序的依赖,增加基于记忆的问题解决的使用。在这里,我们在算术技能习得的重要发展时期确定了 7-9 岁儿童这种策略转变的神经相关性。使用单变量和多变量方法来比较两组主要依赖检索或程序计数策略的儿童的大脑反应。使用检索策略的儿童在左侧腹外侧前额叶皮层中表现出更大的反应;值得注意的是,这是两组之间信号强度存在单变量差异的唯一大脑区域。相比之下,多变量分析揭示了双侧海马体、后顶叶皮层和左侧腹外侧前额叶皮层区域之间两组之间的不同多体素活动模式。这些结果表明,在早期学习中,检索和计数策略的特点是涉及算术问题解决和算术事实的受控检索的大脑区域的分布式网络中的活动模式不同。我们的发现表明,多个大脑区域的神经活动模式的重组和细化在向基于记忆的算术问题解决的转变中起着主导作用。我们的研究结果进一步证明了多变量方法如何为大脑的精细尺度发展变化提供新的见解。更一般地说,我们的研究说明了如何将大脑成像和发展研究结合起来,以研究神经认知发展的基本方面。