This study involved 5306 diverse participants across 15 countries published in Nature medicine, involving University of Surrey where they measured brain aging using advanced brain clocks based on deep learning of brain networks.

They quantified brain age gaps in healthy individuals and those with neurodegenerative conditions by analyzing data from functional magnetic resonance imaging(fMRI) and electroencephalography(EEG).

Study showed that in countries with high inequality, the brain tends to age faster and participants with dementia exhibited critical brain age gaps.

It also highlighted sex differences such as women in Latin American countries(LAC) showed greater gaps in brain age.

It has profound implications on understanding interaction between macro factors and mechanisms that underlie brain aging and integrates multiple dimensions of diversity into brain health research offering a new framework for personalized medicine.

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