A comprehensive approach to study the resting-state brain network related to creative potential

Brain Struct Funct. 2021 Jul;226(6):1743-1753. doi: 10.1007/s00429-021-02286-9. Epub 2021 May 7.

Abstract

Studies related to creativity generally investigate cognition and brain functioning linked to creative achievement. However, this approach does not allow characterization of creative potential. To better define creative potential, we studied cognitive function related to creative processes and the associated brain resting functional connectivity. Therefore, in this pilot study, we constructed a cognitive functioning model via structural equation modeling assuming an influence of working memory (WM) and analytical thinking on creativity assessed by the Torrance Tests of Creative Thinking. On the basis of this model, we differentiated two groups with different functioning levels on the basis of their creative score. We identified one group as the high-creative potential group, with a positive correlation between WM and creativity and a negative correlation between analytical thinking and creativity. The other group was the low-creative potential group, with no correlation between WM and creativity and a negative correlation between analytical thinking and creativity. Then, we examined brain functional connectivity at rest and found that the high-creative potential group had increased connectivity in the attentional network (AN) and default-mode network (DMN) and decreased connectivity in the salience network (SN). Our findings highlight the involvement of the AN. We, therefore, linked this network to creative potential, which is consistent with cognitive theories suggesting that creativity is underpinned by attentional processes.

Keywords: Cognitive processes; Creativity; Resting-state networks; fMRI.

MeSH terms

  • Brain Mapping*
  • Brain* / diagnostic imaging
  • Creativity
  • Magnetic Resonance Imaging*
  • Pilot Projects