%0 Journal Article
%T Single-trial interindividual correlation shows semantic and visuospatial networks are fundamental for advanced mathematical learning.
%A Li M
%A Wang Z
%A Yu X
%A Zhou X
%J Eur J Neurosci
%V 0
%N 0
%D 2024 Aug 13
%M 39138595
%F 3.698
%R 10.1111/ejn.16494
%X 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.