ArticleCommunications biology2024
Neural, genetic, and cognitive signatures of creativity.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Art therapy in addiction recovery the face of addiction through artworks based on clinical case studies.Addiction science & clinical practice · 2026Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Unlocking Creative Movement with Inertial Technology.Brain sciences · 2025Article
- Depression links to unstable resting-state brain dynamics: insights from hidden markov models and functional network variability.Psychological medicine · 2025Article
- The influence of serotonergic multilocus genetic variants and parent-child relationship on adolescent creativity.Scientific reports · 2025Article
- Functional differentiation of the default and frontoparietal control networks predicts individual differences in creative achievement: evidence from macroscale cortical gradients.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- The Relationship Between Grip Strength and Cognitive Impairment: Evidence From NHANES 2011-2014.Brain and behavior · 2025Article
- Artificial Creativity: from predictive AI to Generative System 3.Frontiers in artificial intelligence · 2025Review
- The intersection of near-death experiences (NDEs) and traumatic brain injury (TBI): neurobiological, phenomenological, and creative implications.Frontiers in human neuroscience · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
Creativity is typically operationalized as divergent thinking (DT) ability, a form of higher-order cognition which relies on memory, attention, and other component processes. Despite recent advances, creativity neuroscience lacks a unified framework to model its complexity across neural, genetic, and cognitive scales. Using task-based fMRI from two independent samples and MVPA, we identified a neural pattern that predicts DT, validated through cognitive decoding, genetic data, and large-scale resting-state fMRI. Our findings reveal that DT neural patterns span brain regions associated with diverse cognitive functions, with positive weights in the default mode and frontoparietal control networks and negative weights in the visual network. The high correlation with the primary gradient of functional connectivity suggests that DT involves extensive integration from concrete sensory information to abstract, higher-level cognition, distinguishing it from other advanced cognitive functions. Moreover, neurobiological analyses show that the DT pattern is positively correlated with dopamine-related neurotransmitters and genes influencing neurotransmitter release, advancing the neurobiological understanding of creativity.
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Registered trials
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