Community structure of the creative brain at rest
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-04-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920300653 |
| _version_ | 1819194786097135616 |
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| author | Yoed N. Kenett Richard F. Betzel Roger E. Beaty |
| author_facet | Yoed N. Kenett Richard F. Betzel Roger E. Beaty |
| author_sort | Yoed N. Kenett |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T02:02:24Z |
| format | Article |
| id | doaj.art-a601fd651f444521b760b0ead16f6eb4 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-23T02:02:24Z |
| publishDate | 2020-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-a601fd651f444521b760b0ead16f6eb42022-12-21T18:03:58ZengElsevierNeuroImage1095-95722020-04-01210116578Community structure of the creative brain at restYoed N. Kenett0Richard F. Betzel1Roger E. Beaty2Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104, USA; Corresponding author. University of Pennsylvania, Department of Psychology, Philadelphia, PA, 19104, USA.Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47405, USA; Cognitive Science Program, Indiana University, Bloomington, IN, 47405, USA; Program in Neuroscience, Indiana University, Bloomington, IN, 47405, USA; Network Science Institute, Indiana University, Bloomington, IN, 47405, USADepartment of Psychology, Pennsylvania State University, University Park, PA, 16801, USARecent 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.http://www.sciencedirect.com/science/article/pii/S1053811920300653CreativityResting-stateCommunity structureDivergent thinkingDefault mode network |
| spellingShingle | Yoed N. Kenett Richard F. Betzel Roger E. Beaty Community structure of the creative brain at rest NeuroImage Creativity Resting-state Community structure Divergent thinking Default mode network |
| title | Community structure of the creative brain at rest |
| title_full | Community structure of the creative brain at rest |
| title_fullStr | Community structure of the creative brain at rest |
| title_full_unstemmed | Community structure of the creative brain at rest |
| title_short | Community structure of the creative brain at rest |
| title_sort | community structure of the creative brain at rest |
| topic | Creativity Resting-state Community structure Divergent thinking Default mode network |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920300653 |
| work_keys_str_mv | AT yoednkenett communitystructureofthecreativebrainatrest AT richardfbetzel communitystructureofthecreativebrainatrest AT rogerebeaty communitystructureofthecreativebrainatrest |