Family income, parental education and brain structure in children and adolescents

Nature Neuroscience

Volumn 18, Issue 5, 2015, Pages 773-778

  Noble, Kimberly G ^a,b   Houston, Suzanne M ^c,d,e   Brito, Natalie H ^b   Bartsch, Hauke ^f   Kan, Eric ^d,e   Kuperman, Joshua M ^g,h,i   Akshoomoff, Natacha ^i,j,k   Amaral, David G ^i,l   Bloss, Cinnamon S ^i,m   Libiger, Ondrej ⁱ   Schork, Nicholas J ^g   Murray, Sarah S ^i,n   Casey, B J ^i,o   Chang, Linda ^i,p   Ernst, Thomas M ^i,p   Frazier, Jean A ^i,q   Gruen, Jeffrey R ^i,r   Kennedy, David N ^i,q   Van Zijl, Peter ^i,s,t   Mostofsky, Stewart ^i,t   Kaufmann, Walter E ^i,u,v   Kenet, Tal ^i,v,w   Dale, Anders M ^g,h,i,x,y,z   Jernigan, Terry L ^i,j,k,x   Sowell, Elizabeth R ^d,e,i   more..

^a Columbia University ^*  (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^d CHILDREN S HOSPITAL LOS ANGELES   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^f University of California San Diego School of Medicine   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

ⁱ University of Hawaii and the Queen's Medical Center ^*  (United States)

^j University of California   (United States)

^k UNIVERSITY OF CALIFORNIA   (United States)

^l UNIVERSITY OF CALIFORNIA   (United States)

^m UNIVERSITY OF CALIFORNIA   (United States)

ⁿ UNIVERSITY OF CALIFORNIA   (United States)

^o WEILL CORNELL MEDICAL COLLEGE   (United States)

^p QUEEN S MEDICAL CENTER   (United States)

^q UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^r YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^s JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^t KENNEDY KRIEGER INSTITUTE   (United States)

^u BOSTON CHILDREN S HOSPITAL   (United States)

^v HARVARD MEDICAL SCHOOL   (United States)

^w MASSACHUSETTS GENERAL HOSPITAL   (United States)

^x UNIVERSITY OF CALIFORNIA   (United States)

^y UNIVERSITY OF CALIFORNIA   (United States)

^z UNIVERSITY OF CALIFORNIA   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BRAIN; BRAIN CORTEX; BRAIN DEVELOPMENT; BRAIN SIZE; BRAIN STRUCTURE; CHILD; COGNITION; COGNITIVE DEVELOPMENT; CORTICAL THICKNESS (BRAIN); EDUCATIONAL STATUS; EXECUTIVE FUNCTION; FEMALE; HEALTH DISPARITY; HIPPOCAMPUS; HUMAN; INCOME; LANGUAGE; MALE; PARENT; PRIORITY JOURNAL; READING; SOCIAL DETERMINANTS OF HEALTH; SOCIOECONOMICS; SURFACE AREA; AGE; ANATOMY AND HISTOLOGY; ANTHROPOMETRY; BIOLOGICAL MODEL; CHILD PSYCHOLOGY; COMPARATIVE STUDY; EDUCATION; GENETICS; GENOTYPE; GROWTH, DEVELOPMENT AND AGING; ORGAN SIZE; POVERTY; PRESCHOOL CHILD; PSYCHOLOGIC TEST; REGRESSION ANALYSIS; YOUNG ADULT;

DNA;

ADOLESCENT; AGE FACTORS; ANTHROPOMETRY; BRAIN; CEREBRAL CORTEX; CHILD; CHILD, PRESCHOOL; DNA; EDUCATIONAL STATUS; GENOTYPE; HIPPOCAMPUS; HUMANS; INCOME; MODELS, NEUROLOGICAL; ORGAN SIZE; PARENTS; POVERTY; PSYCHOLOGICAL TESTS; PSYCHOLOGY, ADOLESCENT; PSYCHOLOGY, CHILD; REGRESSION ANALYSIS; SOCIOECONOMIC FACTORS; YOUNG ADULT;

EID: 84928705793     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/nn.3983     Document Type: Article

References (49)

1. Rosenzweig, M.R. Effects of differential experience on the brain and behavior. Dev. Neuropsychol. 24, 523-540 (2003).
2. Sowell, E.R. et al. Mapping cortical change across the human life span. Nat. Neurosci. 6, 309-315 (2003).
3. McLoyd, V.C. Socioeconomic disadvantage and child development. Am. Psychol. 53, 185-204 (1998).
4. Brooks-Gunn, J. & Duncan, G.J. The effects of poverty on children. Future Child. 7, 55-71 (1997).
5. Hackman, D.A. & Farah, M.J. Socioeconomic status and the developing brain. Trends Cogn. Sci. 13, 65-73 (2009).
6. Noble, K.G., Wolmetz, M.E., Ochs, L.G., Farah, M.J. & McCandliss, B.D. Brain-behavior relationships in reading acquisition are modulated by socioeconomic factors. Dev. Sci. 9, 642-654 (2006).
7. Raizada, R.D., Richards, T.L., Meltzoff, A. & Kuhl, P.K. Socioeconomic status predicts hemispheric specialisation of the left inferior frontal gyrus in young children. Neuroimage 40, 1392-1401 (2008).
8. Stevens, C., Lauinger, B. & Neville, H. Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-related brain potential study. Dev. Sci. 12, 634-646 (2009).
9. Sheridan, M.A., Sarsour, K., Jutte, D., D'Esposito, M. & Boyce, W.T. The impact of social disparity on prefontal function in childhood. PLoS ONE 7, e35744 (2012).
10. Tomalski, P. et al. Socioeconomic status and functional brain development-associations in early infancy. Dev. Sci. 16, 676-687 (2013).
11. Kim, P. et al. Effects of childhood poverty and chronic stress on emotion regulatory brain function in adulthood. Proc. Natl. Acad. Sci. USA 110, 18442-18447 (2013).
12. Sowell, E.R. et al. Longitudinal mapping of cortical thickness and brain growth in normal children. J. Neurosci. 24, 8223-8231 (2004).
13. Noble, K.G. et al. Hippocampal volume varies with educational attainment across the life-span. Front. Hum. Neurosci. 6, 1-12 (2012).
14. Noble, K.G., Houston, S.M., Kan, E. & Sowell, E.R. Neural correlates of socioeconomic status in the developing human brain. Dev. Sci. 15, 516-527 (2012).
15. Noble, K.G., Korgaonkar, M.S., Grieve, S.M. & Brickman, A.M. Higher education is an age-independent predictor of white matter integrity and cognitive control in late adolescence. Dev. Sci. 16, 653-664 (2013).
16. Chiang, M.-C. et al. Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29. NeuroImage 54, 2308-2317 (2010).
17. Hanson, J.L., Chandra, A., Wolfe, B.L. & Pollak, S.D. Association between income and the hippocampus. PLoS ONE 6, e18712 (2011).
18. Hanson, J.L. et al. Family poverty affects the rate of human infant brain growth. PLoS ONE 8, e80954 (2013).
19. Jednoróg, K. et al. The infuence of socioeconomic status on children's brain structure. PLoS ONE 7, e42486 (2012).
20. Lawson, G.M., Duda, J.T., Avants, B.B., Wu, J. & Farah, M.J. Associations between children's socioeconomic status and prefrontal cortical thickness. Dev. Sci. 16, 641-652 (2013).
21. Luby, J. et al. The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. JAMA Pediatr. 167, 1135-1142 (2013).
22. Staff, R.T. et al. Childhood socioeconomic status and adult brain size: childhood socioeconomic status infuences adult hippocampal size. Ann. Neurol. 71, 653-660 (2012).
23. Raznahan, A. et al. How does your cortex grow? J. Neurosci. 31, 7174-7177 (2011).
24. Sowell, E.R. et al. Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. Cereb. Cortex 17, 1550-1560 (2007).
25. Schnack, H.G. et al. Changes in thickness and surface area of the human cortex and their relationship with intelligence. Cereb. Cortex published online, doi:10.1093/cercor/bht357 (9 January 2014).
26. Shaw, P. et al. Intellectual ability and cortical development in children and adolescents. Nature 440, 676-679 (2006).
27. Grieve, S.M., Korgaonkar, M.S., Clark, C.R. & Williams, L.M. Regional heterogeneity in limbic maturational changes: Evidence from integrating cortical thickness, volumetric and diffusion tensor imaging measures. Neuroimage 55, 868-879 (2011).
28. Duncan, G.J. & Magnuson, K.A. Can family socioeconomic resources account for racial and ethnic test score gaps? Future Child. 15, 35-54 (2005).
29. Duncan, G.J. & Magnuson, K. Socioeconomic status and cognitive functioning: moving from correlation to causation. Wiley Interdiscip. Rev. Cogn. Sci. 3, 377-386 (2012).
30. Vannest, J., Karunanayaka, P.R., Schmithorst, V.J., Szafarski, J.P. & Holland, S.K. Language networks in children: Evidence from functional MRI studies. AJR Am. J. Roentgenol. 192, 1190-1196 (2009).
31. McCandliss, B.D. & Noble, K.G. The development of reading impairment: a cognitive neuroscience model. Ment. Retard. Dev. Disabil. Res. Rev. 9, 196-204 (2003).
32. Gianaros, P.J. et al. Perigenual anterior cingulate morphology covaries with perceived social standing. Soc. Cogn. Affect. Neurosci. 2, 161-173 (2007).
33. Casey, B.J. et al. A developmental functional MRI study of prefrontal activation during performance on a go-no-go task. J. Cogn. Neurosci. 9, 835-847 (1997).
34. Klingberg, T., Forssberg, H. & Westerberg, H. Increased brain activity in frontal and parietal cortex underlies the development of visuospatial working memory capacity during childhood. J. Cogn. Neurosci. 14, 1-10 (2002).
35. Noble, K.G., McCandliss, B.D. & Farah, M.J. Socioeconomic gradients predict individual differences in neurocognitive abilities. Dev. Sci. 10, 464-480 (2007).
36. Noble, K.G., Norman, M.F. & Farah, M.J. Neurocognitive correlates of socioeconomic status in kindergarten children. Dev. Sci. 8, 74-87 (2005).
37. Evans, G.W. The environment of childhood poverty. Am. Psychol. 59, 77-92 (2004).
38. Lange, N., Froimowitz, M.P., Bigler, E.D., Lainhart, J.E. & Brain Development Cooperative Group. Associations between IQ, total and regional brain volumes, and demography in a large normative sample of healthy children and adolescents. Dev. Neuropsychol. 35, 296-317 (2010).
39. Trzaskowski, M. et al. Genetic infuence on family socioeconomic status and children's intelligence. Intelligence 42, 83-88 (2014).
40. Raver, C.C. et al. CSRP's impact on low-income preschoolers' preacademic skills: self-regulation as a mediating mechanism. Child Dev. 82, 362-378 (2011).
41. Kitzman, H.J. et al. Enduring effects of prenatal and infancy home visiting by nurses on children: follow-up of a randomized trial among children at age 12 years. Arch. Pediatr. Adolesc. Med. 164, 412-418 (2010).
42. Ziol-Guest, K.M., Duncan, G.J., Kalil, A. & Boyce, W.T. Early childhood poverty, immune-mediated disease processes and adult productivity. Proc. Natl. Acad. Sci. USA 109, 17289-17293 (2012).
43. Akshoomoff, N. et al. The NIH Toolbox Cognition Battery: results from a large normative developmental sample (PING). Neuropsychology 28, 1-10 (2014).
44. Fjell, A.M. et al. Multimodal imaging of the self-regulating developing brain. Proc. Natl. Acad. Sci. USA 109, 19620-19625 (2012).
45. Fischl, B. & Dale, A.M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. USA 97, 11050-11055 (2000).
46. Bakken, T.E. et al. Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans. Proc. Natl. Acad. Sci. USA 109, 3985-3990 (2012).
47. Alexander, D.H. & Lange, K. Enhancements to the ADMIXTURE algorithm for individual ancestry estimation. BMC Bioinformatics 12, 246 (2011).
48. Rueda, M.R. et al. Development of attentional networks in childhood. Neuropsychologia 42, 1029-1040 (2004).
49. Tulsky, D.S. et al. V. NIH toolbox cognition battery (CB): measuring working memory. Monogr. Soc. Res. Child Dev. 78, 70-87 (2013).