TY - JOUR
T1 - Creative experiences and brain clocks
AU - Coronel-Oliveros, Carlos
AU - Migeot, Joaquin
AU - Lehue, Fernando
AU - Amoruso, Lucia
AU - Kowalczyk-Grębska, Natalia
AU - Jakubowska, Natalia
AU - Mandke, Kanad N.
AU - Seabra, Joana Pereira
AU - Orio, Patricio
AU - Campbell, Dominic
AU - Gonzalez-Gomez, Raul
AU - Prado, Pavel
AU - Cuadros, Jhosmary
AU - Tagliazucchi, Enzo
AU - Cruzat, Josephine
AU - Legaz, Agustina
AU - Medel, Vicente
AU - Hernandez, Hernan
AU - Fittipaldi, Sol
AU - Altschuler, Florencia
AU - Moguilner, Sebastian
AU - Baez, Sandra
AU - Santamaria-Garcia, Hernando
AU - González-Hernández, Alfredis
AU - Bonilla-Santos, Jasmin
AU - Güntekin, Bahar
AU - Babiloni, Claudio
AU - Abasolo, Daniel
AU - Di Caterina, Gaetano
AU - Yener, Görsev G.
AU - Escudero, Javier
AU - Ochoa-Gómez, John Fredy
AU - Soto-Añari, Marcio
AU - Bruno, Martin A.
AU - Valdes-Sosa, Pedro A.
AU - Anghinah, Renato
AU - Gonzalez-Montealegre, Rodrigo A.
AU - Clark, Ruaridh A.
AU - García, Adolfo M.
AU - Kaltwasser, Laura
AU - Schürmann, Martin
AU - Meier, Jil M.
AU - Brzezicka, Aneta
AU - Whelan, Robert
AU - Lawlor, Brian
AU - Robertson, Ian H.
AU - Bailey, Christopher
AU - Melloni, Lucia
AU - Sajnani, Nisha
AU - Ibanez, Agustin
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/10/3
Y1 - 2025/10/3
N2 - 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.
AB - 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.
KW - Humans
KW - Middle Aged
KW - Brain/physiology
KW - Male
KW - Electroencephalography
KW - Support Vector Machine
KW - Creativity
KW - Young Adult
KW - Aging/physiology
KW - Music
KW - Video Games
KW - Neuronal Plasticity/physiology
KW - Female
KW - Adult
KW - Dancing
KW - Aged
UR - https://www.scopus.com/pages/publications/105017580071
UR - https://www.mendeley.com/catalogue/21f309a3-ec67-375f-a13d-9f56c42e2e81/
U2 - 10.1038/s41467-025-64173-9
DO - 10.1038/s41467-025-64173-9
M3 - Article
C2 - 41044135
AN - SCOPUS:105017580071
SN - 2041-1723
VL - 16
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 8336
ER -