Creative Experiences and Brain Clocks
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Nature Portfolio
Open Access Color
GOLD
Green Open Access
Yes
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OpenAIRE Views
Publicly Funded
No
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
Amoruso, Lucia/0000-0003-4696-2187
ORCID
Keywords
Male, Adult, Aging, Support Vector Machine, Neuronal Plasticity, Brain, Electroencephalography, Middle Aged, Article, Creativity, Young Adult, Video Games, Humans, Female, Dancing, Music, Aged, ddc:500, Cognitive neuroscience, Predictive markers, 500 Naturwissenschaften und Mathematik, machine learning; brain health; functional connectivity, Human behaviour
Fields of Science
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
N/A
Source
Nature Communications
Volume
16
Issue
1
Start Page
End Page
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Citations
CrossRef : 1
Scopus : 3
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Mendeley Readers : 54
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