Brain health in diverse settings: How age, demographics and cognition shape brain function

• DOI: 10.1016/j.neuroimage.2024.120636
• Publication Date: 2024-05-21T01:59:31Z
• Authors: Hernan Hernandez; Sandra Baez; Vicente Medel; Sebastian Moguilner; Jhosmary Cuadros; Hernando Santamar...; Enzo Tagliazucchi; Pedro A. Valdes-Sosa; Francisco Lopera; John Fredy OchoaG...; Alfredis González...; Jasmin Bonilla-Sa...; Rodrigo A. Gonzal...; Tuba Aktürk; Ebru Yıldırım; Renato Anghinah; Agustina Legaz; Sol Fittipaldi; Görsev G. Yener; Javier Escudero; Claudio Babiloni; Susanna Lopez; Robert Whelan; Alberto A Fernánd...; Adolfo M. García; David Huepe; Gaetano Di Caterina; Marcio Soto-Añari; Agustina Birba; Agustin Sainz-Bal...; Carlos Coronel; Eduar Herrera; Daniel Abasolo; Kerry Kilborn; Nicolás Rubido; Ruaridh Clark; Ruben Herzog; Deniz Yerlikaya; Bahar Güntekin; Mario A. Parra; Pavel Prado; Agustin Ibanez
• Keywords: Demographics; Brain Function

Diversity in brain health is influenced by individual differences demographics and cognition. However, most studies on diseases have typically controlled for these factors rather than explored their potential to predict signals. Here, we assessed the role of (age, sex, education; n = 1,298) cognition (n 725) as predictors different metrics usually used case-control studies. These included power spectrum aperiodic (1/f slope, knee, offset) metrics, well complexity (fractal dimension estimation, permutation entropy, Wiener spectral structure variability) connectivity (graph-theoretic mutual information, conditional organizational information) from source space resting-state EEG activity a diverse sample global south north populations. Brain-phenotype models were computed using reflecting local (power components) dynamics interactions (complexity graph-theoretic measures). Electrophysiological modulated despite varied methods data acquisition assessments across multiple centers, indicating that results unlikely be accounted methodological discrepancies. Variations signals mainly age cognition, while education sex exhibited less importance. Power measures sensitive capturing differences. Older age, poorer being male associated with reduced alpha power, whereas older network integration segregation. Findings suggest basic impact core function are standard Considering variability diversity settings would contribute more tailored understanding function.