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VOLLE, E.

Publications and source records attributed to VOLLE, E..

2 recordsLinked to original sources

Neural investigation of idea selection during creative thinking reveals value-based mechanisms

Creative thinking enables humans to innovate and solve problems, via the generation of candidate ideas, their evaluation and the selection of the most promising one. While recent studies have demonstrated that idea evaluation relies on the assignment of subjective values (the assessment of how much one likes an idea, or valuation), the selection mechanism remains unknown. Using behavioral experiments and fMRI, we tested whether the selection step of creative thinking is driven by the same value comparison circuits that guide economic decisions. Participants performed creative idea production, rating, and choice tasks. We found behavioral evidence of value-based comparison during both isolated choice and overall creative idea production, in a manner that predicts creative abilities. Critically, we demonstrate that creative idea selection involves the brain valuation system and the dorsal anterior cingulate cortex: during creative thinking, these neural circuits compare candidate idea values, mirroring economic choice. Our findings reveal that idea selection is mediated by the brains generic valuation system, rather than specialized creative machinery, unifying theories of decision-making and creativity.

neuroscience↗

Brain connectivity-based prediction of real-life creativity is mediated by semantic memory structure

Creative cognition relies on the ability to form remote associations between concepts, which allows to generate novel ideas or solve new problems. Such an ability is related to the organization of semantic memory; yet whether real-life creative behavior relies on semantic memory organization and its neural substrates remains unclear. Therefore, this study explored associations between brain functional connectivity patterns, network properties of individual semantic memory, and real-life creativity. We acquired multi-echo functional MRI 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-based 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 supports the associative mechanisms of creativity.

neuroscience↗