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Family income, parental education and brain structure in children and adolescents
Open accessAbstract
Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. We investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1,099 typically developing individuals between 3 and 20 years of age. Income was logarithmically associated with brain surface area. 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 imply that income relates most strongly to brain structure among the most disadvantaged children.
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“In older children and adolescents, lower family income and lower parental education have been associated with reduced volumes of cortical grey matter, the hippocampus, and the amygdala168 as well as reduced cortical surface area and cortical thickness169, 170.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [170]
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Cites
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Self-citationSocioeconomic disadvantage and child development
McLoyd, V. C. (1998) · American Psychologist · doi:10.1037/0003-066x.53.2.185 · Cited by 3,763
The effects of poverty on children.
Brooks-Gunn, J., & Duncan, G. J. (1997) · The Future of Children · doi:10.2307/1602387 · Cited by 2,837
The environment of childhood poverty
Evans, G. W. (2004) · American Psychologist · doi:10.1037/0003-066x.59.2.77 · Cited by 2,396
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
Self-citationSocioeconomic status and the developing brain
Hackman, D. A., & Farah, M. J. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.11.003 · Cited by 1,681
Enhancements to the ADMIXTURE algorithm for individual ancestry estimation
Alexander, D. H., & Lange, K. L. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-246 · Cited by 1,611
Intellectual ability and cortical development in children and adolescents
Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481
Self-citationDevelopment of attentional networks in childhood
Rueda, M. R., Fan, J., McCandliss, B. D., Halparin, J. D., Gruber, D. B., Lercari, L. P., & Posner, M. I. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2003.12.012 · Cited by 1,339
A developmental functional MRI study of prefrontal activation during performance of a go-no-go task
Casey, B. J., Trainor, R. J., Orendi, J. L., Schubert, A. B., Nystrom, L. E., Giedd, J. N., Castellanos, F. X., Haxby, J. V., Noll, D. C., Cohen, J. D., et al. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.6.835 · Cited by 1,106
Self-citationSocioeconomic gradients predict individual differences in neurocognitive abilities.
Noble, K. G., McCandliss, B. D., & Farah, M. J. (2007) · Developmental Science · doi:10.1111/j.1467-7687.2007.00600.x · Cited by 1,041
Self-citationNeurocognitive correlates of socioeconomic status in kindergarten children
Noble, K. G., Norman, M. F., & Farah, M. J. (2005) · Developmental Science · doi:10.1111/j.1467-7687.2005.00394.x · Cited by 1,038
Self-citationRaver, C. C., Jones, S. M., Li-Grining, C., Zhai, F., Bub, K., & Pressler, E. (2011) · Child Development · doi:10.1111/j.1467-8624.2010.01561.x · Cited by 754
Luby, J., Belden, A., Botteron, K., Marrus, N., Harms, M. P., Babb, C., Nishino, T., & Barch, D. (2013) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2013.3139 · Cited by 733
Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., Clasen, L., Gogtay, N., & Giedd, J. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0054-11.2011 · Cited by 712
Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., Xu, D., Zhu, H., Thompson, P. M., & Toga, A. W. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl066 · Cited by 695
Self-citationKlingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317205276 · Cited by 695
Effects of childhood poverty and chronic stress on emotion regulatory brain function in adulthood
Kim, P., Evans, G. W., Angstadt, M., Ho, S. S., Sripada, C. S., Swain, J. E., Liberzon, I., & Phan, K. L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308240110 · Cited by 610
Neural correlates of socioeconomic status in the developing human brain
Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01147.x · Cited by 542
Self-citationCan Family Socioeconomic Resources Account for Racial and Ethnic Test Score Gaps?
Duncan, G. J., & Magnuson, K. (2005) · The Future of Children · doi:10.1353/foc.2005.0004 · Cited by 487
Family Poverty Affects the Rate of Human Infant Brain Growth
Hanson, J. L., Hair, N., Shen, D. G., Shi, F., Gilmore, J. H., Wolfe, B. L., & Pollak, S. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080954 · Cited by 430
Socioeconomic status and cognitive functioning: moving from correlation to causation
Duncan, G. J., & Magnuson, K. (2012) · WIREs Cognitive Science · doi:10.1002/wcs.1176 · Cited by 420
Changes in Thickness and Surface Area of the Human Cortex and Their Relationship with Intelligence
Schnack, H. G., van Haren, N. E. M., Brouwer, R. M., Evans, A. C., Durston, S., Boomsma, D. I., Kahn, R. S., & Pol, H. E. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht357 · Cited by 407
Stevens, C. J., Lauinger, B., & Neville, H. J. (2009) · Developmental Science · doi:10.1111/j.1467-7687.2009.00807.x · Cited by 369
Association between Income and the Hippocampus
Hanson, J., Chandra, A., Wolfe, B., & Pollak, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018712 · Cited by 341
The Influence of Socioeconomic Status on Children’s Brain Structure
Jednoróg, K., Altarelli, I., Monzalvo, K., Fluss, J., Dubois, J., Billard, C., Dehaene‐Lambertz, G., & Ramus, F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042486 · Cited by 329
Brain–behavior relationships in reading acquisition are modulated by socioeconomic factors
Noble, K. G., Wolmetz, M. E., Ochs, L. G., Farah, M. J., & McCandliss, B. D. (2006) · Developmental Science · doi:10.1111/j.1467-7687.2006.00542.x · Cited by 293
Self-citationAssociations between children's socioeconomic status and prefrontal cortical thickness
Lawson, G. M., Duda, J., Avants, B., Wu, J., & Farah, M. J. (2013) · Developmental Science · doi:10.1111/desc.12096 · Cited by 284
The development of reading impairment: A cognitive neuroscience model
McCandliss, B. D., & Noble, K. G. (2003) · Mental Retardation and Developmental Disabilities Research Reviews · doi:10.1002/mrdd.10080 · Cited by 265
Self-citationGenetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29
Chiang, M.-C., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.015 · Cited by 255
Enduring Effects of Prenatal and Infancy Home Visiting by Nurses on Children
Kitzman, H. J., Olds, D. L., Cole, R. E., Hanks, C. A., Anson, E. A., Arcoleo, K. J., Luckey, D. W., Knudtson, M. D., Henderson, C., & Holmberg, J. R. (2010) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2010.76 · Cited by 250
Raizada, R. D. S., Richards, T. L., Meltzoff, A., & Kuhl, P. K. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.021 · Cited by 246
Socioeconomic status and functional brain development – associations in early infancy
Tomalski, P., Moore, D. G., Ribeiro, H., Axelsson, E. L., Murphy, E., Karmiloff‐Smith, A., Johnson, M. H., & Kushnerenko, E. (2013) · Developmental Science · doi:10.1111/desc.12079 · Cited by 240
The NIH Toolbox Cognition Battery: Results from a large normative developmental sample (PING).
Akshoomoff, N. A., Newman, E. R., Thompson, W. K., McCabe, C. J., Bloss, C. S., Chang, L., Amaral, D. G., Casey, B. J., Ernst, T. M., Frazier, J. A., et al. (2013) · Neuropsychology · doi:10.1037/neu0000001 · Cited by 215
Self-citationPerigenual anterior cingulate morphology covaries with perceived social standing
Gianaros, P. J., Horenstein, J. A., Cohen, S., Matthews, K. A., Brown, S. M., Flory, J. D., Critchley, H. D., Manuck, S. B., & Hariri, A. R. (2007) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsm013 · Cited by 214
Multimodal imaging of the self-regulating developing brain
Fjell, A. M., Walhovd, K. B., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Venkatraman, V., Roddey, J. C., Erhart, M., McCabe, C., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208243109 · Cited by 212
Self-citationThe impact of social disparity on prefrontal function in childhood.
Sheridan, M. A., Sarsour, K., Jutte, D., D'Esposito, M., & Boyce, W. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035744 · Cited by 212
Folmer, R. L. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00001 · Cited by 206
Staff, R. T., Murray, A. D., Ahearn, T. S., Mustafa, N., Fox, H. C., & Whalley, L. J. (2012) · Annals of Neurology · doi:10.1002/ana.22631 · Cited by 170
Genetic influence on family socioeconomic status and children's intelligence
Trzaskowski, M., Harlaar, N., Arden, R., Krapohl, E. M. L., Rimfeld, K., McMillan, A. J., Dale, P. S., & Plomin, R. J. (2013) · Intelligence · doi:10.1016/j.intell.2013.11.002 · Cited by 160
Hippocampal volume varies with educational attainment across the life-span
Noble, K. G., Grieve, S. M., Korgaonkar, M. S., Engelhardt, L. E., Griffith, E. Y., Williams, L. M., & Brickman, A. M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00307 · Cited by 154
Self-citationV. NIH TOOLBOX COGNITION BATTERY (CB): MEASURING WORKING MEMORY
Tulsky, D. S., Carlozzi, N. E., Chevalier, N., Espy, K. A., Beaumont, J. L., & Mungas, D. (2013) · Monographs of the Society for Research in Child Development · doi:10.1111/mono.12035 · Cited by 146
LANGE, N. D., Froimowitz, M. P., Bigler, E. D., Lainhart, J. E., & Brain Development Cooperative Group (2010) · Developmental Neuropsychology · doi:10.1080/87565641003696833 · Cited by 112
Early childhood poverty, immune-mediated disease processes, and adult productivity
Ziol‐Guest, K. M., Duncan, G. J., Kalil, A., & Boyce, W. T. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1203167109 · Cited by 111
Noble, K. G., Korgaonkar, M. S., Grieve, S. M., & Brickman, A. M. (2013) · Developmental Science · doi:10.1111/desc.12077 · Cited by 105
Self-citationEffects of Differential Experience on the Brain and Behavior
Rosenzweig, M. R. (2003) · Developmental Neuropsychology · doi:10.1080/87565641.2003.9651909 · Cited by 98
Language Networks in Children: Evidence from Functional MRI Studies
Vannest, J. J., Karunanayaka, P., Schmithorst, V. J., Szaflarski, J. P., & Holland, S. K. (2009) · American Journal of Roentgenology · doi:10.2214/ajr.08.2246 · Cited by 74
Grieve, S. M., Korgaonkar, M. S., Clark, C. R., & Williams, L. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.087 · Cited by 64
Correction: The Influence of Socioeconomic Status on Children’s Brain Structure
Jednoróg, K., Altarelli, I., Monzalvo, K., Fluss, J., Dubois, J., Billard, C., Dehaene‐Lambertz, G., & Ramus, F. (2012) · PLoS ONE · doi:10.1371/annotation/47661de2-2c53-4396-9f88-06b5ad233566 · Cited by 57
Bakken, T. E., Roddey, J. C., Djurovic, S., Akshoomoff, N. A., Amaral, D. G., Bloss, C. S., Casey, B. J., Chang, L., Ernst, T. M., Gruen, J. R., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105829109 · Cited by 53
Self-citationEffects of Differential Experience on the Brain and Behavior
Rosenzweig, M. R. (2003) · Developmental Neuropsychology · doi:10.1207/s15326942dn242&3_02 · Cited by 41
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Metadata
- Authors
- Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Murray, S. S., Casey, B. J., Chang, L., Ernst, T. M., Frazier, J. A., Gruen, J. R., Kennedy, D. N., Van Zijl, P., Mostofsky, S., Kaufmann, W. E., Kenet, T., Dale, A. M., Jernigan, T. L., & Sowell, E. R.
- Affiliations
- Columbia University (US)
- University of Southern California (US)
- University of California San Diego (US)
- University of California, Davis (US)
- California Sea Grant (US)
- J. Craig Venter Institute (US)
- Cornell University (US)
- University of Hawaiʻi at Mānoa (US)
- University of Massachusetts Chan Medical School (US)
- Yale University (US)
- Kennedy Krieger Institute (US)
- Boston Children's Hospital (US)
- Harvard University (US)
- Corresponding author
- Noble, Kimberly G
- Sowell, Elizabeth R
- ORCID
- Noble, Kimberly G
- Brito, Natalie H
- Bartsch, Hauke
- Kan, Eric
- Kuperman, Joshua M
- Akshoomoff, Natacha
- Amaral, David G
- Bloss, Cinnamon S
- Schork, Nicholas J
- Murray, Sarah S
- Casey, B J
- Chang, Linda
- Frazier, Jean A
- Gruen, Jeffrey R
- Kennedy, David N
- Mostofsky, Stewart
- Kaufmann, Walter E
- Kenet, Tal
- Dale, Anders M
- Jernigan, Terry L
- Sowell, Elizabeth R
- Venue
- Nature Neuroscience
- Published
- 2015-03-30
- Volume
- 18
- Issue
- 5
- Pages
- 773-778
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4414816
- OpenAlex
- W2098605272
- Cited by
- 1,423
- References
- 52
- Citations by year
- 2026: 99 · 2025: 130 · 2024: 116 · 2023: 133 · 2022: 159 · 2021: 139 · 2020: 154 · 2019: 120 · 2018: 123 · 2017: 113 · 2016: 99 · 2015: 36
- FWCI
- 186.88
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
- ScholarSpace (University of Hawaii at Manoa) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH087563, R01MH083320)
- National Institute on Drug Abuse (RC2DA029475)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD079123, R01HD061414, L40 HD077610, R01HD053893)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Keywords
- household income, parental education, socioeconomic status, brain surface area, brain morphometry, cognitive development, executive function, socioeconomic disparities, children and adolescents, spatial ability
- MeSH terms
- Adolescent, Psychology, Adolescent, Age Factors, Anthropometry, Brain, Cerebral Cortex, Child, Psychology, Child, Child, Preschool, DNA, Educational Status, Genotype, Hippocampus, Humans, Income, Models, Neurological, Organ Size, Parents, Poverty, Psychological Tests, Regression Analysis, Socioeconomic Factors, Young Adult
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