Resting-State EEG Network Profiles Associated with Creative Engagement and Creative Self-Efficacy
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866917210832764928 |
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| author | Damji, Samir Kurry, Simrut Babul, Shazia'Ayn Bhattacharya, Joydeep Virji-Babul, Naznin |
| author_facet | Damji, Samir Kurry, Simrut Babul, Shazia'Ayn Bhattacharya, Joydeep Virji-Babul, Naznin |
| contents | Creativity is a core cognitive capacity underlying innovation and adaptive problem solving, yet how it is represented in the brain's intrinsic functional architecture is not fully understood. While resting-state fMRI studies have identified large-scale network correlates associated with differences in creativity, EEG provides the temporal resolution for examining oscillatory dynamics contributing to intrinsic network organization. We examined whether resting-state EEG connectivity patterns are associated with individual differences across multiple creativity-related measures. Thirty healthy young adults completed a multidimensional creativity battery comprising the Inventory of Creative Activities and Achievements (ICAA), the Divergent Association Task (DAT), the Matchstick Arithmetic Puzzles Task (MAPT) and a Self-rating (SR) of creative ability. Graph-theoretical analyses of alpha-band functional connectivity revealed two participant groups, each with distinct patterns of neural activity: Cluster 1 showed reduced global connectivity with relatively preserved left frontal connectivity and greater network modularity; Cluster 0 exhibited stronger overall connectivity strength, reduced modularity and higher local clustering. Notably, Cluster 1 reported higher self-rated creative ability and more frequent engagement in real-world creative activities. These findings suggest that resting-state EEG connectivity patterns are associated with variation in creative self-efficacy and creative engagement, highlighting characteristic patterns of alpha-band network organization observed at rest. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_22364 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Resting-State EEG Network Profiles Associated with Creative Engagement and Creative Self-Efficacy Damji, Samir Kurry, Simrut Babul, Shazia'Ayn Bhattacharya, Joydeep Virji-Babul, Naznin Neurons and Cognition Signal Processing Quantitative Methods Creativity is a core cognitive capacity underlying innovation and adaptive problem solving, yet how it is represented in the brain's intrinsic functional architecture is not fully understood. While resting-state fMRI studies have identified large-scale network correlates associated with differences in creativity, EEG provides the temporal resolution for examining oscillatory dynamics contributing to intrinsic network organization. We examined whether resting-state EEG connectivity patterns are associated with individual differences across multiple creativity-related measures. Thirty healthy young adults completed a multidimensional creativity battery comprising the Inventory of Creative Activities and Achievements (ICAA), the Divergent Association Task (DAT), the Matchstick Arithmetic Puzzles Task (MAPT) and a Self-rating (SR) of creative ability. Graph-theoretical analyses of alpha-band functional connectivity revealed two participant groups, each with distinct patterns of neural activity: Cluster 1 showed reduced global connectivity with relatively preserved left frontal connectivity and greater network modularity; Cluster 0 exhibited stronger overall connectivity strength, reduced modularity and higher local clustering. Notably, Cluster 1 reported higher self-rated creative ability and more frequent engagement in real-world creative activities. These findings suggest that resting-state EEG connectivity patterns are associated with variation in creative self-efficacy and creative engagement, highlighting characteristic patterns of alpha-band network organization observed at rest. |
| title | Resting-State EEG Network Profiles Associated with Creative Engagement and Creative Self-Efficacy |
| topic | Neurons and Cognition Signal Processing Quantitative Methods |
| url | https://arxiv.org/abs/2510.22364 |