ArticleScience advances2022
Brain connectivity-based prediction of real-life creativity is mediated by semantic memory structure.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Lower engagement of cognitive control in children on ChatGPT.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- A rostral prefrontal mediolateral gradient predicts creativity in frontotemporal dementia.Brain : a journal of neurology · 2026Article
- Changes in resting-state functional connectivity between large-scale brain networks after an intensive arts intervention for adolescents with depression.Translational psychiatry · 2026Article
- Are Creative People More Susceptible to False Memory? Evidence for Age- and Task-Related Differences.Creativity research journal · 2026Article
- REM sleep favors the restructuring of problem-related semantic associations.Communications biology · 2026Article
- Neural Correlates of Extraversion and Trait Creativity: A Graph Theory-Based Whole-Brain Functional Network Modularity Analysis.Journal of Intelligence · 2026Article
- Review
- Semantic Memory Structure and Self-Evaluation of Creativity: Evidence Across Tasks and Dimensions.Journal of Intelligence · 2026Article
- Semantic memory network resilience in aging: The role of abstract and semantically diverse words.Cognition · 2026Article
- Cognitive and neural mechanisms of mental imagery supporting creative cognition.Communications biology · 2025Article
- A cognitive multiplex network approach to investigate mental navigation and predict high-level cognition.Behavior research methods · 2025Article
- Behavioral variant frontotemporal dementia as a model for understanding the cognitive and cerebral determinants of verbal creativity.Behavioral and brain functions : BBF · 2025Article
- Semantic memory and creative evaluation.BMC psychology · 2025Article
- Limitations of Correlation Coefficients in Research on Functional Connectomes and Psychological Processes.Human brain mapping · 2025Review
- Semantic Memory, Traumatic Brain Injury, and the Iceberg Effect: What Deficits May Lie Below the Surface?American journal of speech-language pathology · 2025Review
- Leveraging relatedness-based measures in people with language disorders: A scoping review.Journal of neuropsychology · 2025Article
- Neural representations of noncentral events during narrative encoding predict subsequent story ending originality.Science advances · 2025Article
- Dynamic switching between brain networks predicts creative ability.Communications biology · 2025Article
- Associative thinking and creative ability in older adulthood.Creativity research journal · 2025Article
- Lexical retrieval in fluent and nonfluent aphasia: a network analysis of verbal fluency data.Frontiers in human neuroscience · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Associative theories of creativity argue that creative cognition involves the abilities to generate remote associations and make useful connections between unrelated concepts in one's semantic memory. Yet, whether and how real-life creative behavior relies on semantic memory structure and its neural substrates remains unclear. We acquired multi-echo functional magnetic resonance imaging data while participants underwent a semantic relatedness judgment task. These ratings were used to estimate their individual semantic memory networks, whose properties significantly predicted their real-life creativity. Using a connectome predictive modeling approach, we identified patterns of task-based functional connectivity that predicted creativity-related semantic memory network properties. Furthermore, these properties mediated the relationship between functional connectivity and real-life creativity. These results provide new insights into how brain connectivity patterns support real-life creative behavior via the structure of semantic memory. We also show how computational network science can be used to couple behavioral, cognitive, and neural levels of analysis.
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