Artículo

Qualitative and quantitative educational disparities and brain signatures in healthy aging and dementia across global settings

Gonzalez Gomez, Raul ; Cruzat, Josephine ; Hernández, Hernán ; Migeot, Joaquín ; Legaz, Agustina Icon; Santamaria Garcia, Hernando Icon; Fittipaldi, Sol ; Maito, Marcelo Adrián ; Medel, Vicente ; Tagliazucchi, Enzo Rodolfo Icon; Barttfeld, Pablo Icon; Franco O'Byrne, Daniel ; Castro Laguardia, Ana María ; Borquez, Patricio A. ; Avila Funes, José Alberto ; Behrens, María I. ; Custodio, Nilton ; Farombi, Temitope ; García, Adolfo Martín Icon; García Cordero, Indira Ruth Icon; Godoy, María Eugenia ; Gonzalez Campo, Cecilia Icon; Hu, Kun ; Lawlor, Brian ; Matallana, Diana L. ; Miller, Bruce ; Okada de Oliveira, Maira ; Pina Escudero, Stefanie ; França Resende, Elisa de Paula ; Reyes, Pablo ; Slachevsky, Andrea ; Takada, Leonel Tadao ; Yener, Görserv G. ; Coronel Oliveros, Carlos ; Ibañez, Agustin Mariano Icon

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Fecha

04/2025

Editorial

The Lancet

Revista

eClinicalMedicine

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ISSN

2589-5370

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Inglés

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Resumen

Background: While education is crucial for brain health, evidence mainly relies on individual measures of years ofeducation (YoE), neglecting education quality (EQ). The effect of YoE and EQ on aging and dementia has not beencompared. Methods: We conducted a cross-sectional assessment of the effect of EQ and YoE on brain health in 7533 subjectsfrom 20 countries, including healthy controls (HCs), Alzheimer’s disease (AD), and frontotemporal lobardegeneration (FTLD). EQ was based on country-level quality indicators provided by the programme forinternational student assessment (PISA). After applying neuroimage harmonization, we examined its effect, alongwith YoE, on gray matter volume and functional connectivity. Regression models were adjusted for age, sex, andcognition, controlling for multiple comparisons. The influence of image quality was assessed through sensitivityanalysis. Data collection was conducted between June 1 and October 30, 2024. Findings: Less EQ and YoE were associated with brain alterations across groups. However, EQ had a stronger influence,mainly targeting the critical areas of each condition. At the whole-brain level, EQ influenced volume (HCs: Δmean = 2⋅0[1⋅9–2⋅0] × 10−2, p < 10−5; AD: Δmean = 0⋅1 [−0⋅0 to 0⋅3] × 10−2, p = 0⋅18; FTLD: Δmean = 3⋅5 [3⋅0–4⋅0] × 10−2, p < 10−5;all with 95% confidence intervals) and networks (HCs: Δmean = 13⋅5 [13⋅2–13⋅7] × 10−2, p < 10−5; AD: Δmean = 5⋅9[5⋅2–6⋅7] × 10−2, p < 10−5; FTLD: Δmean = 13⋅2 [11⋅2–13⋅7] × 10−2, p < 10−5) 1⋅3 to 7⋅0 times more than YoE. Theseeffects remain robust despite variations in income and socioeconomic factors at country and individual levels. Interpretation: The results support the need to incorporate education quality into studying and improving brainhealth, underscoring the importance of country-level measures.

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