Browsing by Author "Ibanez, Agustin"

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Citation - WoS: 3
Citation - Scopus: 3
Creative Experiences and Brain Clocks
(Nature Portfolio, 2025) Coronel-Oliveros, Carlos; Migeot, Joaquin; Lehue, Fernando; Amoruso, Lucia; Kowalczyk-Grebska, Natalia; Jakubowska, Natalia; Ibanez, Agustin
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.
Citation - WoS: 1
Citation - Scopus: 1
Diversity-Sensitive Brain Clocks Linked to Biophysical Mechanisms in Aging and Dementia
(SpringerNature, 2025) Coronel-Oliveros, Carlos; Moguilner, Sebastian; Hernandez, Hernan; Cruzat, Josephine; Baez, Sandra; Medel, Vicente; Ibanez, Agustin
Brain clocks track the deviations between predicted brain age and chronological age (brain age gaps, BAGs). These BAGs can be used to measure accelerated aging, monitoring deviations from the healthy brain trajectories associated with brain diseases and different cumulative burdens. However, the underlying biophysical mechanisms associated with BAGs in aging and dementia remain unclear. Here we combine source space connectivity (via electroencephalography) with generative brain modeling in healthy controls from the global south and north, alongside patients with Alzheimer's disease and behavioral variant frontotemporal dementia (bvFTD) (N = 1,399). BAGs in aging were influenced by geography (south > north), income (low > high), sex (female > male) and education (low > high), with larger BAGs in patients, especially females, with Alzheimer's disease. Biophysical modeling revealed BAGs related to hyperexcitability and structural disintegration in aging, while hypoexcitability and severe disintegration were linked to dementia. Our work sheds light on the biophysical mechanisms of accelerated aging and dementia in diverse populations.