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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Publicly Funded

No
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Average
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Top 10%
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Top 10%

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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.

Description

Amoruso, Lucia/0000-0003-4696-2187

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

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WoS Q

Q1

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Q1
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N/A

Source

Nature Communications

Volume

16

Issue

1

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End Page

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CrossRef : 1

Scopus : 3

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Mendeley Readers : 54

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