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The exposome of brain aging across 34 countries
(Springer Science and Business Media LLC, 2026-04-03)
Agustina Legaz
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Sebastian Moguilner
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Pablo Barttfeld
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Jhosmary Cuadros Castro
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Dante Sebastián Galván Rial
Scopus© Citations 7 1
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Social exposome and brain health outcomes of dementia across Latin America
(Springer Science and Business Media LLC, 2025-09-11)
Joaquin Migeot
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Stefanie D. Pina-Escudero
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Hernan Hernandez
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Raul Gonzalez-Gomez
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Agustina Legaz
A multidimensional social exposome (MSE)—the combined lifespan measures of education, food insecurity, financial status, access to healthcare, childhood experiences, and more—may shape dementia risk and brain health over the lifespan, particularly in underserved regions like Latin America. However, the MSE effects on brain health and dementia are unknown. We evaluated 2211 individuals (controls, Alzheimer’s disease, and frontotemporal lobar degeneration) from a non-representative sample across six Latin American countries. Adverse exposomes associate with poorer cognition in healthy aging. In dementia, more complex exposomes correlate with lower cognitive and functional performance, higher neuropsychiatric symptoms, and brain structural and connectivity alterations in frontal-temporal-limbic and cerebellar regions. Food insecurity, financial resources, subjective socioeconomic status, and access to healthcare emerge as critical predictors. Cumulative exposome measures surpass isolated factors in predicting clinical-cognitive profiles. Multiple sensitivity analyses confirm our results. Findings highlight the need for personalized approaches integrating MSE across the lifespan, emphasizing prevention and interventions targeting social disparities.
1
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White matter hyperintensities and their impact in brain structure and function in alzheimer’s disease and behavioral variant frontotemporal dementia across Latin America and the United States: a cross-sectional study
(Springer Science and Business Media LLC, 2025-08-12)
Florencia Altschuler
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Verónica Canziani
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Matías Fraile-Vázquez
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Raul Gonzalez-Gomez
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Hernán Hernández
<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>White matter hyperintensities (WMHs) are a core manifestation of normal and pathological aging and are potentially linked to geographical differences in social and physical exposomes. Previous studies have not examined the impact of WMHs burden on neurodegeneration and cognition in healthy controls (HCs) and patients with Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) across geographic regions. This study addressed this gap by assessing the impact of WMHs burden on participants with and without dementia from Latin America (LA) and the United States (US).</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>The study comprised 994 participants, including HCs (<jats:italic>n</jats:italic> = 402), AD (<jats:italic>n</jats:italic> = 359), and bvFTD subjects (<jats:italic>n</jats:italic> = 233) from LA and the US. WMHs and their association with grey matter (GM) atrophy, assessed through GM volume and cortical thickness, were evaluated and compared among groups (HCs, AD, and bvFTD) in LA and the US using a voxel-wise brain imaging approach (<jats:italic>p</jats:italic> < 0.05 family-wise error-corrected for multiple comparisons, minimum cluster size = 50 voxels). Multiple regressions analysis were employed to examine geographic differences in WMHs burden, WMHs-GM associations, and the effect of WMHs on cognitive performance, as assessed by the Mini-Mental State examination.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>In the LA cohort only, higher WMHs load was associated with greater GM atrophy across all groups (HCs, AD, bvFTD), with a specific neurodegenerative pattern involving orbitofrontal, cingulate, and temporal areas. HCs from LA showed a greater WMHs load than their US counterparts, and this effect was dependent on GM atrophy. Finally, WMHs burden negatively impacted cognitive performance in dementia subjects, with a greater effect observed in bvFTD subjects from the US.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>WMHs have a more pronounced impact on neurodegeneration across the LA cohort, with a worse impact on HCs, which also show higher WMHs burden than their US counterparts. This could increase the risk of developing dementia. Moreover, WMHs burden differentially impacts cognition, with a greater negative effect observed in bvFTD subjects from the US. These findings highlight geographic variations in WMHs-related conditions, offering valuable insights for tailored future research.</jats:p> </jats:sec>
2Scopus© Citations 5
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Human development, inequality, and their associations with brain structure across 29 countries
(Royal College of Psychiatrists, 2025)
Vicente Medel
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Luz M. Alliende
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Richard Bethlehem
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Jakob Seidlitz
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Grace Ringlein
2
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Qualitative and quantitative educational disparities and brain signatures in healthy aging and dementia across global settings
(Elsevier BV, 2025-04)
Raul Gonzalez-Gomez
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Josephine Cruzat
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Hernán Hernández
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Joaquín Migeot
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Agustina Legaz
Scopus© Citations 4 3
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Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases
(Springer Science and Business Media LLC, 2024-01-02)
Sol Fittipaldi
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Agustina Legaz
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Marcelo Maito
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Hernan Hernandez
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Florencia Altschuler
Aging diminishes social cognition, and changes in this capacity can indicate brain diseases. However, the relative contribution of age, diagnosis and brain reserve to social cognition, especially among older adults and in global settings, remains unclear when considering other factors. Here, using a computational approach, we combined predictors of social cognition from a diverse sample of 1,063 older adults across nine countries. Emotion recognition, mentalizing and overall social cognition were predicted via support vector regressions from various factors, including diagnosis (subjective cognitive complaints, mild cognitive impairment, Alzheimer’s disease and behavioral variant frontotemporal dementia), demographics, cognition/executive function, brain reserve and motion artifacts from functional magnetic resonance imaging recordings. Higher cognitive/executive functions and education ranked among the top predictors, outweighing age, diagnosis and brain reserve. Network connectivity did not show predictive values. The results challenge traditional interpretations of age-related decline, patient–control differences and brain associations of social cognition, emphasizing the importance of heterogeneous factors.
Scopus© Citations 31 1
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Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas
(Springer Science and Business Media LLC, 2024-12-27)
Agustina Legaz
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Florencia Altschuler
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Raul Gonzalez-Gomez
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Hernán Hernández
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Sandra Baez
Scopus© Citations 10 3
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Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations
(2024)
Sebastian Moguilner
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Sandra Baez
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Hernan Hernandez
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Joaquín Migeot
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Agustina Legaz
9Scopus© Citations 1
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Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations
(2024)
Sebastian Moguilner
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Sandra Baez
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Hernan Hernandez
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Joaquín Migeot
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Agustina Legaz
<jats:title>Abstract</jats:title><jats:p>Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries). Based on higher-order interactions, we developed a brain-age gap deep learning architecture for functional magnetic resonance imaging (2,953) and electroencephalography (2,353). The datasets comprised healthy controls and individuals with mild cognitive impairment, Alzheimer disease and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (functional magnetic resonance imaging: mean directional error = 5.60, root mean square error (r.m.s.e.) = 11.91; electroencephalography: mean directional error = 5.34, r.m.s.e. = 9.82) associated with frontoposterior networks compared with non-LAC models. Structural socioeconomic inequality, pollution and health disparities were influential predictors of increased brain-age gaps, especially in LAC (<jats:italic>R</jats:italic>² = 0.37, <jats:italic>F</jats:italic>² = 0.59, r.m.s.e. = 6.9). An ascending brain-age gap from healthy controls to mild cognitive impairment to Alzheimer disease was found. In LAC, we observed larger brain-age gaps in females in control and Alzheimer disease groups compared with the respective males. The results were not explained by variations in signal quality, demographics or acquisition methods. These findings provide a quantitative framework capturing the diversity of accelerated brain aging.</jats:p>
Scopus© Citations 33 2
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Author Correction: The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
(2024)
Pavel Prado
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Vicente Medel
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Raul Gonzalez-Gomez
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Agustín Sainz-Ballesteros
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Victor Vidal
Scopus© Citations 1 1

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