Creative experiences and brain clocks
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Abstract
Abstract Creative experiences may enhance brain health, yet metrics and mechanisms remain elusive. We characterized brain health using brain clocks, which capture deviations from chronological age (i.e., accelerated or delayed brain aging). We combined M/EEG functional connectivity (N = 1,240) with machine learning support vector machines, whole-brain modeling, and Neurosynth metanalyses. From this framework, we reanalyzed previously published datasets of expert and matched non-expert participants in dance, music, visual arts, and video games, along with a pre/post-learning study (N = 232). We found delayed brain age across all domains and scalable effects (expertise>learning). The higher the level of expertise and performance, the greater the delay in brain age. Age-vulnerable brain hubs showed increased connectivity linked to creativity, particularly in areas related to expertise and creative experiences. Neurosynth analysis and computational modeling revealed plasticity-driven increases in brain efficiency and biophysical coupling, in creativity-specific delayed brain aging. Findings indicate a domain‑independent link between creativity and brain health.
Description
Acknowledgements: This work was supported by the Latin American Brain Health Institute (BrainLat) # BL-SRGP2020-02 awarded to MAP and AI. AI is supported by grants from ReDLat [National Institutes of Health and the Fogarty International Center (FIC), National Institutes of Aging (R01 AG057234, R01 AG075775, AG021051, R01 AG083799, CARDS-NIH 75N95022C00031), Alzheimer’s Association (SG-20-725707), Rainwater Charitable Foundation, The Bluefield project to cure FTD, and Global Brain Health Institute)], ANID/FONDECYT Regular (1250091, 1210195, 1210176 and 1220995); and ANID/FONDAP/15150012. The contents of this publication are solely the author’s responsibility and do not represent the official views of these institutions.