Faculty of Health Sciences, University of Macau, Macau SAR, China.
Int J Biol Sci. 2019 May 7;15(6):1148-1160. doi: 10.7150/ijbs.33400. eCollection 2019.
Arithmetic problem-solving whose components mainly involve the calculation, planning and reasoning, is an important mathematical skill. To date, the neural mechanism underlying arithmetic problem-solving remains unclear. In this study, a scheme that combined a novel 24 points game paradigm, conditional Granger causality analysis, and near-infrared spectroscopy (fNIRS) neuroimaging technique was developed to examine the differences in brain activation and effective connectivity between the calculation, planning, and reasoning. We discovered that the performance of planning was correlated with the activation in frontal cortex, whereas the performance of reasoning showed the relationship with the activation in parietal cortex. In addition, we also discovered that the directional effective connectivity between the anterior frontal and posterior parietal cortex was more closely related to planning rather than reasoning. It is expected that this work will pave a new avenue for an improved understanding of the neural underpinnings underlying arithmetic problem-solving, which also provides a novel indicator to evaluate the efficacy of mathematical education.
算术问题解决,其主要组成部分涉及计算、规划和推理,是一种重要的数学技能。迄今为止,算术问题解决的神经机制仍不清楚。在这项研究中,我们结合了一种新的 24 点游戏范式、条件格兰杰因果分析和近红外光谱(fNIRS)神经影像学技术,以检查计算、规划和推理之间的大脑激活和有效连接的差异。我们发现,规划的表现与额叶皮层的激活有关,而推理的表现与顶叶皮层的激活有关。此外,我们还发现,前额叶和后顶叶皮层之间的定向有效连接与规划而不是推理更为密切相关。预计这项工作将为深入了解算术问题解决的神经基础开辟新途径,也为评估数学教育效果提供了一个新的指标。