Community structure of the creative brain at rest

Yoed N. Kenett, Richard F. Betzel, Roger E. Beaty

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Recent studies have provided insight into inter-individual differences in creative thinking, focusing on characterizations of distributed large-scale brain networks both at the local level of regions and their pairwise interactions and at the global level of the brain as a whole. However, it remains unclear how creative thinking relates to mesoscale network features, e.g. community and hub organization. We applied a data-driven approach to examine community and hub structure in resting-state functional imaging data from a large sample of participants, and how they relate to individual differences in creative thinking. First, we computed for every participant the co-assignment probability of brain regions to the same community. We found that greater capacity for creative thinking was related to increased and decreased co-assignment of medial-temporal and subcortical regions to the same community, respectively, suggesting that creative capacity may be reflected in inter-individual differences in the meso-scale organization of brain networks. We then used participant-specific communities to identify network hubs—nodes whose connections form bridges across the boundaries of different communities—quantified based on their participation coefficients. We found that increased hubness of DMN and medial-temporal regions were positively and negatively related with creative ability, respectively. These findings suggest that creative capacity may be reflected in inter-individual differences in community interactions of DMN and medial-temporal structures. Collectively, these results demonstrate the fruitfulness of investigating mesoscale brain network features in relation to creative thinking.

Original languageEnglish
Article number116578
StatePublished - 15 Apr 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020


  • Community structure
  • Creativity
  • Default mode network
  • Divergent thinking
  • Resting-state


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