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Family Income, Parental Education and Brain Structure in Children and Adolescents

Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. Here, we investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a co...

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Detalles Bibliográficos
Autores principales: Noble, Kimberly G., Houston, Suzanne M., Brito, Natalie H., Bartsch, Hauke, Kan, Eric, Kuperman, Joshua M., Akshoomoff, Natacha, Amaral, David G., Bloss, Cinnamon S., Libiger, Ondrej, Schork, Nicholas J., Murray, Sarah S., Casey, B. J., Chang, Linda, Ernst, Thomas M., Frazier, Jean A., Gruen, Jeffrey R., Kennedy, David N., Zijl, Peter Van, Mostofsky, Stewart, Kaufmann, Walter E., Kenet, Tal, Dale, Anders M., Jernigan, Terry L., Sowell, Elizabeth R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414816/
https://www.ncbi.nlm.nih.gov/pubmed/25821911
http://dx.doi.org/10.1038/nn.3983
Descripción
Sumario:Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. Here, we investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1099 typically developing individuals between 3 and 20 years. Income was logarithmically associated with brain surface area. Specifically, among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data indicate that income relates most strongly to brain structure among the most disadvantaged children. Potential implications are discussed.