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ArticleResearch square2025

Socioeconomic Differences in Global Brain Asymmetry: An Integrative Approach Using Image Similarity Measures and Structural Equation Modeling.

María Eugenia Bernaschini, Grisel Maribel Britos, Adrián Maximiliano Moneta Pizarro, Juan Carlos Bellassai, María Silvia Ojeda

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

María Eugenia BernaschiniCentro de Investigación y Estudios de Matemática, Consejo Nacional de Investigaciones Científicas y Técnicas, Haya de la Torre y Medina Allende S/N, Ciudad Universitaria, X5000HRV, Córdoba, Argentina.
Grisel Maribel BritosCentro de Investigación y Estudios de Matemática, Consejo Nacional de Investigaciones Científicas y Técnicas, Haya de la Torre y Medina Allende S/N, Ciudad Universitaria, X5000HRV, Córdoba, Argentina.
Adrián Maximiliano Moneta PizarroFacultad de Ciencias Económicas, Universidad Nacional de Córdoba, Bv. Enrique Barros s/n, Ciudad Universitaria, X5000HRV, Córdoba, Argentina.
Juan Carlos BellassaiCentro de Investigación y Estudios de Matemática, Consejo Nacional de Investigaciones Científicas y Técnicas, Haya de la Torre y Medina Allende S/N, Ciudad Universitaria, X5000HRV, Córdoba, Argentina.
María Silvia OjedaCentro de Investigación y Estudios de Matemática, Consejo Nacional de Investigaciones Científicas y Técnicas, Haya de la Torre y Medina Allende S/N, Ciudad Universitaria, X5000HRV, Córdoba, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The typical human brain exhibits a bilateral asymmetry that can be observed in the distribution of grayscale levels in brain magnetic resonance imaging (MRI). This asymmetry plays a crucial role in the development of higher-level cognition and can be influenced by both socioeconomic and biological factors. In this regard, the objective of this article is to investigate the relationship between brain asymmetry and socioeconomic status (SES) as the primary focus, alongside age and sex. To achieve this, we develop a global index of brain asymmetry using a novel methodology that combines two statistical tools in an innovative manner: the Gradient Magnitude Similarity Deviation image similarity measure, which assesses asymmetries in 2D slices of MRI, and Multiple Indicators Multiple Causes Structural Equation Modeling (MIMIC), which integrates the asymmetry of the 2D slices into a single global index. Our study, conducted on a dataset of 132 healthy individuals, reveals a significant association between SES and brain asymmetry, with individuals of higher SES displaying more pronounced asymmetry compared to those of lower SES. Additionally, asymmetry tends to increase with age, and males exhibit higher asymmetry than females. These findings provide new insights into the association between socioeconomic factors and brain asymmetry, highlighting the relevance of SES in relation to structural brain characteristics.

Indexed as

brain lateralizationbrain MRIGradient Magnitude Similarity DeviationMultiple Indicators Multiple Causes Structural Equation Modelingsocioeconomic status

Identifiers

PMID40671810
PMCPMC12265181

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.