Abstract：
Mathematical learning and ability are crucial for individual and national economic and technological development, but the neural mechanisms underlying advanced mathematical learning remain unclear. The current study used functional magnetic resonance imaging (fMRI) to investigate how brain networks were involved in advanced mathematical learning and transfer. We recorded fMRI data from 24 undergraduate students as they learned the advanced mathematical concept of a commutative mathematical group. After learning, participants were required to complete learning and transfer behavioural tests. Results of single-trial interindividual brain-behaviour correlation analysis found that brain activity in the semantic and visuospatial networks, and the functional connectivity within the semantic network during advanced mathematical learning were positively correlated with learning and transfer effects. Additionally, the functional connectivity between the semantic and visuospatial networks was negatively correlated with the learning and transfer effects. These findings suggest that advanced mathematical learning relies on both semantic and visuospatial networks.
摘要：
数学学习和能力对于个人和国家经济技术发展至关重要,但是高级数学学习背后的神经机制仍不清楚。当前的研究使用功能磁共振成像（fMRI）来研究大脑网络如何参与高级数学学习和迁移。我们记录了24名本科生的fMRI数据，因为他们学习了交换数学组的高级数学概念。学习之后,参与者被要求完成学习和迁移行为测试.单试验个体间大脑行为相关性分析的结果发现，语义和视觉空间网络中的大脑活动，高级数学学习过程中语义网络内部的功能连通性与学习和迁移效果呈正相关。此外,语义和视觉空间网络之间的功能连通性与学习和迁移效果负相关。这些发现表明，高级数学学习依赖于语义和视觉空间网络。
