Single‐trial interindividual correlation shows semantic and visuospatial networks are fundamental for advanced mathematical learning

Author:

Li Mengyi123,Wang Zilong245,Yu Xiaodan4,Zhou Xinlin12ORCID

Affiliation:

1. State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China

2. Research association for brain and mathematical learning Beijing Normal University Beijing China

3. Faculty of Psychology Tianjin Normal University Tianjin China

4. Department of Education Ocean University of China Qingdao Shandong China

5. Information Technology Department Qingdao Vocational and Technical College of Hotel Management Qingdao Shandong China

Abstract

AbstractMathematical 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.

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Wiley

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