The time course of creativity: Multivariate classification of default and executive network contributions to creative cognition over time. (November 2022)

• Record Type: Journal Article
• Authors: Lloyd-Cox, James; Chen, Qunlin; Beaty, Roger E.
• Is Part Of: Cortex. Volume 156(2022)
• Page Start: 90
• Page End: 105
• Publication Date: 2022-11
• Subjects: Creativity -- Multi-variate pattern analysis -- Time-course -- Default network -- Executive network; Neuropsychology -- Periodicals; Nervous system -- Periodicals; Neurology -- Periodicals; Psychophysiology -- Periodicals; Behavior -- Periodicals; Neurology -- Periodicals; 612.825
• DOI: 10.1016/j.cortex.2022.08.008
• Languages: English
• ISSNs: 0010-9452

Abstract

Abstract: Research indicates that creative cognition depends on both associative and controlled processes, corresponding to the brain's default mode network (DMN) and executive control network (ECN) networks. However, outstanding questions include how the DMN and ECN operate over time during creative task performance, and whether creative cognition involves distinct generative and evaluative stages. To address these questions, we used multivariate pattern analysis (MVPA) to assess how the DMN and ECN contribute to creative cognition over three successive time phases during the production of a single creative idea. Training classifiers to predict trial condition (creative vs non-creative), we used classification accuracy as a measure of the extent of creative activity in each brain network and time phase. Across both networks, classification accuracy was highest in early phases, decreased in mid phases, and increased again in later phases, following a U-shaped curve. Notably, classification accuracy was significantly greater in the ECN than the DMN during early phases, while differences between networks at later time phases were non-significant. We also computed correlations between classification accuracy and human-rated creative performance, to assess how relevant the creative activity in each network was to the creative quality of ideas. In line with expectations, classification accuracy in the DMN was most related to creative quality in early phases, decreasing in later phases, while classification accuracy in the ECN was least related to creative quality in early phases, increasing in later phases. Given the theorized roles of the DMN in generation and the ECN in evaluation, we interpret these results as tentative evidence for the existence of separate generative and evaluative stages in creative cognition that depend on distinct neural substrates. Highlights: Examined 3 consecutive phases of creative idea generation. MVPA reveals changing creative activity in default and executive networks. Creative activity in both networks follows U-shaped curve over time. Greatest creative activity in the executive network during early phases of trials. Correlations suggest default network activity most relevant to creative quality.