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

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dc.authorid0000-0002-0860-0524
dc.contributor.authorHernandez, Hernan
dc.contributor.authorBaez, Sandra
dc.contributor.authorMedel, Vicente
dc.contributor.authorMoguilner, Sebastian
dc.contributor.authorCuadros, Jhosmary
dc.contributor.authorSantamaria Garcia, Hernando
dc.contributor.authorTagliazucchi, Enzo
dc.contributor.authorValdes Sosa, Pedro A.
dc.contributor.authorLopera, Francisco
dc.contributor.authorOchoaGómez, John Fredy
dc.contributor.authorGonzález Hernández, Alfredis
dc.contributor.authorBonilla Santos, Jasmin
dc.contributor.authorGonzalez Montealegre, Rodrigo A.
dc.contributor.authorAktürk, Tuba
dc.contributor.authorYıldırım, Ebru
dc.contributor.authorAnghinah, Renato
dc.contributor.authorLegaz, Agustina
dc.contributor.authorFittipaldi, Sol
dc.contributor.authorYener, Görsev
dc.contributor.authorEscudero, Javier
dc.contributor.authorBabiloni, Claudio
dc.contributor.authorLopez, Susanna
dc.contributor.authorWhelan, Robert
dc.contributor.authorLucas, Alberto A Fernández
dc.contributor.authorGarcía, Adolfo M.
dc.contributor.authorHuepe, David
dc.contributor.authorCaterina, Gaetano Di
dc.contributor.authorSoto Añari, Marcio
dc.contributor.authorBirba, Agustina
dc.contributor.authorSainz Ballesteros, Agustin
dc.contributor.authorCoronel, Carlos
dc.contributor.authorHerrera, Eduar
dc.contributor.authorAbasolo, Daniel
dc.contributor.authorKilborn, Kerry
dc.contributor.authorRubido, Nicolás
dc.contributor.authorClark, Ruaridh
dc.contributor.authorHerzog, Ruben
dc.contributor.authorYerlikaya, Deniz
dc.contributor.authorGüntekin, Bahar
dc.contributor.authorParra, Mario A.
dc.date.accessioned2024-06-06T05:47:04Z
dc.date.available2024-06-06T05:47:04Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Biyofizik Ana Bilim Dalı
dc.description.abstractDiversity in brain health is influenced by individual differences in demographics and cognition. However, most studies on brain health and diseases have typically controlled for these factors rather than explored their potential to predict brain signals. Here, we assessed the role of individual differences in demographics (age, sex, and education; n = 1298) and cognition (n = 725) as predictors of different metrics usually used in case-control studies. These included power spectrum and aperiodic (1/f slope, knee, offset) metrics, as well as complexity (fractal dimension estimation, permutation entropy, Wiener entropy, spectral structure variability) and connectivity (graph-theoretic mutual information, conditional mutual information, organizational information) from the source space resting-state EEG activity in a diverse sample from the global south and north populations. Brain-phenotype models were computed using EEG metrics reflecting local activity (power spectrum and aperiodic components) and brain dynamics and interactions (complexity and graph-theoretic measures). Electrophysiological brain dynamics were modulated by individual differences despite the varied methods of data acquisition and assessments across multiple centers, indicating that results were unlikely to be accounted for by methodological discrepancies. Variations in brain signals were mainly influenced by age and cognition, while education and sex exhibited less importance. Power spectrum activity and graph-theoretic measures were the most sensitive in capturing individual differences. Older age, poorer cognition, and being male were associated with reduced alpha power, whereas older age and less education were associated with reduced network integration and segregation. Findings suggest that basic individual differences impact core metrics of brain function that are used in standard case-control studies. Considering individual variability and diversity in global settings would contribute to a more tailored understanding of brain function.
dc.identifier.citationHernandez, H., Baez, S., Medel, V., Moguilner, S., Cuadros, J., Santamaria Garcia, H. ... Parra, M. A. (2024). Brain health in diverse settings: How age, demographics and cognition shape brain function. NeuroImage, 295. http://dx.doi.org/10.1016/j.neuroimage.2024.120636
dc.identifier.doi10.1016/j.neuroimage.2024.120636
dc.identifier.issn1053-8119
dc.identifier.pmid38777219
dc.identifier.scopus2-s2.0-85194133921
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.neuroimage.2024.120636
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12576
dc.identifier.volume295
dc.identifier.wos001249293300001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorGüntekin, Bahar
dc.language.isoen
dc.relation.ispartofNeuroImageen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectAge
dc.subjectBrain Dynamics
dc.subjectCognition
dc.subjectEducation
dc.subjectIndividual Differences
dc.subjectSex
dc.titleBrain health in diverse settings: How age, demographics and cognition shape brain function
dc.typeArticle

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