The moderating effect of the DMN connectivity on the correlation between online creativity performances in single- and paired-player modes
Ching-Lin Wu
Intelligence, 2023, vol. 100, issue C
Abstract:
This study examined how brain structure influences creative performance during cooperation with others. This study employed graph theory to analyze the moderating effect of connectivity efficiency of a default mode network (DMN) on individuals' creative performance in interactive situations. The results showed that the global efficiencies of the DMN moderated the relationship between individuals' divergent thinking performance in the single- and paired-player modes. When the global efficiency in the DMN is high, an individual's originality performance in the single-player mode has high predictive power for performance in the paired-player mode. In addition, the global efficiency of the DMN can moderate the relationship between the flexibility scores in the single- and paired-player modes. In the case of high global efficiency, the flexibility performance in single-player mode has a higher predictive power in interactive situations. Furthermore, the nodal efficiency of the parahippocampal cortex can moderate the correlation between fluency (an index of divergent thinking) scores in the single- and paired-player modes, whereas the nodal efficiency of the anterior medial prefrontal cortex can moderate the relationship between the Chinese Radical Remote Associates Test performance in the single- and paired-player modes.
Keywords: Co-creativity; Default mode network (DMN); Graph theory; Divergent thinking; Remote associates test (RAT) (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160289623000661
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intell:v:100:y:2023:i:c:s0160289623000661
DOI: 10.1016/j.intell.2023.101785
Access Statistics for this article
Intelligence is currently edited by R.J. Haier
More articles in Intelligence from Elsevier
Bibliographic data for series maintained by Catherine Liu ().