Association between resting-state brain network topological organization and creative ability: Evidence from a multiple linear regression model

摘要: Abstract Previous studies have indicated a tight linkage between resting-state functional connectivity of the human brain and creative ability. This study aimed to further investigate association topological organization networks creativity. Therefore, we acquired fMRI data from 22 high-creativity participants low-creativity (as determined by their Torrance Tests Creative Thinking scores). We then constructed for each participant assessed group differences in network properties before exploring relationships respective identified an optimized intrinsic both groups. However, compared with participants, exhibited increased global efficiency substantially decreased path length, suggesting information transmission across individuals. Using multiple linear regression model, demonstrated that regional integration (i.e., betweenness centrality efficiency) networks, particularly default mode (DMN) sensorimotor (SMN), significantly predicted individual Furthermore, associations performance were creativity-level dependent, where difference resource control component may be important explaining performance. These findings provide novel insights into neural substrate creativity facilitate objective identification