Creative experiences and brain clocks
Coronel-Oliveros, Carlos and Migeot, Joaquín and Di Caterina, Gaetano and Clark, Ruaridh and Ibanez, Agustin (2025) Creative experiences and brain clocks. Nature Communications, 16. 8336. ISSN 2041-1723 (https://doi.org/10.1038/s41467-025-64173-9)
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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.
ORCID iDs
Coronel-Oliveros, Carlos, Migeot, Joaquín, Di Caterina, Gaetano
ORCID: https://orcid.org/0000-0002-7256-0897, Clark, Ruaridh
ORCID: https://orcid.org/0000-0003-4601-2085 and Ibanez, Agustin;
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Item type: Article ID code: 94346 Dates: DateEvent3 October 2025Published3 September 2025AcceptedSubjects: Medicine > Internal medicine > Neuroscience. Biological psychiatry. Neuropsychiatry Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 06 Oct 2025 09:02 Last modified: 08 Dec 2025 07:49 Related URLs: - https://doi.org/10.5281/zenodo.15915311
- https://github.com/fiuneuro/brainconn
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URI: https://strathprints.strath.ac.uk/id/eprint/94346
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