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SCIENCE AND SOCIETY

Socioeconomic status and the brain: prospects for neuroscience-informed policy

Abstract

Socioeconomic status (SES) is associated with health (physical and mental) and cognitive ability. Understanding and ameliorating the problems of low SES have long been goals of economics and sociology; in recent years, these have also become goals of neuroscience. However, opinion varies widely on the relevance of neuroscience to SES-related policy. The present article addresses the question of whether and how neuroscience can contribute to the development of social policy concerning poverty and the social and ethical risks inherent in trying. I argue that the neuroscience approach to SES-related policy has been both prematurely celebrated and peremptorily dismissed and that some of its possible social impacts have been viewed with excessive alarm. Neuroscience has already made modest contributions to SES-related policy, and its potential to have a more effective and beneficial influence can be expected to grow over the coming years.

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Fig. 1: Trends in health and cognitive outcomes across levels of SES and the growth of the field of SES neuroscience.

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References

  1. Department of Health and Human Services. Annual update of the HHS Poverty Guidelines. Federal Register 83, (2642–2644 (2018).

    Google Scholar 

  2. Semega, J. L., Fontenot, K. R. & Kollar, M. A. Income and Poverty in the United States: 2016 (United States Census Bureau, 2017).

  3. [No authors listed.] The World Factbook — Population Below Poverty Line. Central Intelligence Agency https://www.cia.gov/library/publications/the-world-factbook/fields/2046.html (2017).

  4. Organization for Economic Co-operation and Development Inequality. Poverty Rate (indicator). OECD iLibrary https://doi.org/10.1787/0fe1315d-en (2015).

    Article  Google Scholar 

  5. UNICEF. Child Poverty. UNICEF Data: Monitoring the Situation of Children and Women https://data.unicef.org/topic/overview/child-poverty/ (2017).

  6. Adler, N. E. et al. Socioeconomic status and health: the challenge of the gradient. Am. Psychol. 49, 15–24 (1994).

    Article  PubMed  CAS  Google Scholar 

  7. Amso, D. & Lynn, A. Distinctive mechanisms of adversity and socioeconomic inequality in child development: a review and recommendations for evidence-based policy. Policy Insights Behav. Brain Sci. 4, 139–146 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Duncan, G. J. & Magnuson, K. Socioeconomic status and cognitive functioning: moving from correlation to causation. Wiley Interdiscip. Rev. Cognitive Sci. 3, 377–386 (2012).

    Article  Google Scholar 

  9. McEwen, B. S. & Gianaros, P. J. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann. NY Acad. Sci. 1186, 190–222 (2010).

    Article  PubMed  Google Scholar 

  10. Nusslock, R. & Miller, G. E. Early-life adversity and physical and emotional health across the lifespan: a neuro-immune network hypothesis. Biol. Psychiatry 80, 23–32 (2016).

    Article  PubMed  Google Scholar 

  11. The World Bank. World Development Report — Mind, Society, and Behavior (The World Bank, 2015).

  12. UNICEF. Building Better Brains: New Frontiers in Early Childhood Development (UNICEF, 2014).

  13. Black, M. M. et al. Early childhood development coming of age: science through the life course Lancet. 389, 7–13 (2017).

    Article  Google Scholar 

  14. Brito, P. R. et al. Nurturing care: promoting early childhood development Lancet. 389, 91–102 (2017).

    Article  Google Scholar 

  15. Richter, L. M. et al. Investing in the foundation of sustainable development: pathways to scale up for early childhood development. Lancet. 389, 103–118 (2017).

    Article  PubMed  Google Scholar 

  16. Allen, G. Early Intervention: The Next Steps (Crown copyright, 2011).

  17. Allen, G. & Smith, I. D. Early intervention: Good parents, Great Kids, Better Citizens (Centre for Social Justice and the Smith Institute, 2009).

  18. Shonkoff, J. P. & Levitt, P. Neuroscience and the future of early childhood policy: moving from why to what and how. Neuron 67, 689–691 (2010).

    Article  PubMed  CAS  Google Scholar 

  19. National Education Association. Teaching Children from Poverty and Trauma (National Education Association, 2016).

  20. Babcock, E. D. Using brain science to design new pathways out of poverty (Crittenton Women’s Union, 2014).

  21. Hayasaki, E. How poverty affects the brain. Newsweek (25 Aug 2016).

  22. Bruer, J. T. The Myth of the First Three Years: A New Understanding of Early Brain Development and Lifelong Learning (Simon and Schuster, 1999).

  23. Rose, H. & Rose, S. Can Neuroscience Change Our Minds? (Polity Press, 2016).

  24. Wax, A. L. The poverty of the neuroscience of poverty: policy payoff or false promise? Jurimetr. J. 57, 239–287 (2017).

    Google Scholar 

  25. Nadesan, M. H. Engineering the entrepreneurial infant: brain science, infant development toys, and governmentality. Cultural Studies 16, 401–432 (2002).

    Article  Google Scholar 

  26. Thornton, D. J. Neuroscience, affect, and the entrepreneurialization of motherhood. Commun. Crit./Cultural Studies 8, 399–424 (2011).

    Article  Google Scholar 

  27. Lende, D. H. Poverty poisons the brain. Ann. Anthropol. Pract. 36, 183–201 (2012).

    Article  Google Scholar 

  28. Hackman, D. A. & Farah, M. J. Socioeconomic status and the developing brain. Trends Cognitive Sci. 13, 65–73 (2009).

    Article  Google Scholar 

  29. Farah, M. J. The neuroscience of socioeconomic status: correlates, causes and consequences. Neuron 96, 56–71 (2017).

    Article  PubMed  CAS  Google Scholar 

  30. Johnson, S. B., Riis, J. L. & Noble, K. G. State of the art review: poverty and the developing brain. Pediatrics 137, e20153075 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lipina, S. J. & Segretin, M. S. Strengths and weaknesses of neuroscientific investigations of childhood poverty. Front. Hum. Neurosci. 9, 53 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Hackman, D. A., Farah, M. J. & Meaney, M. J. Socioeconomic status and the brain: mechanistic insights from human and animal research. Nat. Rev. Neurosci. 11, 651–659 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Rutter, M. & Solantaus, T. Translation gone awry: differences between commonsense and science. Eur. Child Adolesc. Psychiatry 23, 247–255 (2014).

    Article  PubMed  Google Scholar 

  34. Sheridan, M. A. & McLaughlin, K. A. Dimensions of early experience and neural development: deprivation and threat. Trends Cognitive Sci. 18, 580–585 (2014).

    Article  Google Scholar 

  35. Lawson, G. M. et al. Childhood socioeconomic status and childhood maltreatment: distinct associations with brain structure. PLoS ONE. 12, e0175690 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Felitti, V. J. et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) Study. Am. J. Prevent. Med. 14, 245–258 (1998).

    Article  CAS  Google Scholar 

  37. Evans, G. W., Li, D. & Whipple, S. S. Cumulate risk and child development. Psychol. Bull. 139, 1342–1396 (2013).

    Article  PubMed  Google Scholar 

  38. Noble, K. G. et al. Family income, parental education and brain structure in children and adolescents. Nat. Neurosci. 18, 773–778 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. Demir, Ö. E., Prado, J. & Booth, J. R. Parental socioeconomic status and the neural basis of arithmetic: differential relations to verbal and visuospatial representations. Dev. Sci. 18, 799–814 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Yang, J. et al. Regional gray matter volume mediates the relationship between family socioeconomic status and depression-related trait in a young healthy sample. Cognitive Affect. Behav. Neurosci. 16, 51–62 (2015).

    Article  CAS  Google Scholar 

  41. Rutter, M. How the Environment affects mental health. Br. J. Psychiatry. 186, 4–6 (2005).

    Article  PubMed  Google Scholar 

  42. Bradley, R. H. & Corwyn, R. F. Socioeconomic status and child development. Annu. Rev. Psychol. 53, 371–399 (2002).

    Article  PubMed  Google Scholar 

  43. Guo, G. & Harris, K. M. The mechanisms mediating the effect of poverty on children’s intellectual development. Demography 37, 431–447 (2000).

    Article  PubMed  CAS  Google Scholar 

  44. McLoyd, V. C. Socioeconomic disadvantage and child development. Am. Psychol. 53, 185–204 (1998).

    Article  PubMed  CAS  Google Scholar 

  45. 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).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Swartz, J. R., Hariri, A. R. & Williamson, D. E. An epigenetic mechanism links socioeconomic status to changes in depression-related brain function in high-risk adolescents. Mol. Psychiatry. 22, 209–214 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  47. Piccolo, L. R., Merz, E. C., He, X., Sowell, E. R. & Noble, K. G. Age-related differences in cortical thickness vary by socioeconomic status. PLoS ONE 11, e0162511 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  48. Callaghan, B. L. & Tottenham, N. The stress acceleration hypothesis: effects of early-life adversity on emotion circuits and behavior. Curr. Opin. Behav. Sci. 7, 76–81 (2016).

    Article  PubMed  Google Scholar 

  49. Elbejjani, M. et al. Life-course socioeconomic position and hippocampal atrophy in a prospective cohort of older adults. Psychosomat. Med. 79, 14–23 (2017).

    Article  Google Scholar 

  50. Johnson, N. F., Kim, C. & Gold, B. T. Socioeconomic status is positively correlated with frontal white matter integrity in aging. Age 35, 2045–2056 (2013).

    Article  PubMed  Google Scholar 

  51. 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).

    Article  PubMed  PubMed Central  Google Scholar 

  52. D’Angiulli, A., Herdman, A., Stapells, D. & Hertzman, C. Children’s event-related potentials of auditory selective attention vary with their socioeconomic status. Neuropsychology 22, 293–300 (2008).

    Article  PubMed  Google Scholar 

  53. D’Angiulli, A. et al. Frontal EEG/ERP correlates of attentional processes, cortisol and motivational states in adolescents from lower and higher socioeconomic status. Front. Hum. Neurosci. 6, 306 (2012).

    PubMed  PubMed Central  Google Scholar 

  54. Stevens, C., Lauinger, B. & Neville, H. Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-related potential study. Dev. Sci. 12, 634–636 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  55. Gabrieli, J. D. E., Ghosh, S. S. & Whitfield-Gabrieli, S. Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscience. Neuron 85, 11–26 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Fodor, J. A. Psychological Explanation: An Introduction to the Philosophy of Psychology (Random House, 1968).

  57. Hair, N. L., Hanson, J. L. & Wolfe, B. L. Association of child poverty, brain development, and academic achievement. JAMA Pediatr. 169, 822–829 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  58. Mackey, A. P. et al. Neuroanatomical correlates of the income-achievement gap. Psychol. Sci. 26, 925–933 (2015).

    Article  PubMed  Google Scholar 

  59. Perera, F. et al. Children’s environmental health research — highlights from the Columbia Center for Children’s Environmental Health. Ann. NY Acad. Sci. 1076, 15–28 (2006).

    Article  PubMed  CAS  Google Scholar 

  60. Weiss, B. & Bellinger, D. C. Social ecology of children’s vulnerability to environmental pollutants. Environ. Health Persp. 114, 1479–1485 (2006).

    Article  CAS  Google Scholar 

  61. Murray, C. & Herrnstein, R. The Bell Curve. Intelligence and Class Structure in American Life (Free Press Paperbacks, 1994).

  62. Turner, R. J. & Lloyd, D. A. The stress process and the social distribution of depression. J. Health Social Behav. 40, 374–404 (1999).

    Article  CAS  Google Scholar 

  63. Gilman, S. E., Kawachi, I., Fitzmaurice, G. M. & Buka, S. L. Socioeconomic status in childhood and the lifetime risk of major depression. Int. J. Epidemiol. 31, 359–367 (2002).

    Article  PubMed  Google Scholar 

  64. McEwen, C. A. & McEwen, B. S. Social structure, adversity, toxic stress, and intergenerational poverty: an early childhood model. Annu. Rev. Sociol. 43, 445–472 (2017).

    Article  Google Scholar 

  65. Nestler, E. J., Peña, C. J., Kundakovic, M., Mitchell, A. & Akbarian, S. Epigenetic basis of mental illness. Neuroscientist 22, 447–463 (2016).

    Article  PubMed  CAS  Google Scholar 

  66. Curley, J. P. & Champagne, F. A. Influence of maternal care on the developing brain: mechanisms, temporal dynamics and sensitive periods. Front. Neuroendocrinol. 40, 52–66 (2016).

    Article  PubMed  Google Scholar 

  67. Brody, G. H. et al. Protective prevention effects on the association of poverty with brain development. JAMA Pediatr. 171, 46–52 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Morris, A. S. et al. Targeting parenting in early childhood: a public health approach to improve outcomes for children living in poverty. Child Dev. 88, 388–397 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  69. Ioannidis, J. P. Why most published research findings are false. PLoS Med. 2, e124 (2005).

    Article  PubMed  PubMed Central  Google Scholar 

  70. Krimsky, S. The weight of scientific evidence in policy and law. Am. J. Public Health. 95, S129–S136 (2005).

    Article  PubMed  Google Scholar 

  71. Crnic, K. A., Gaze, C. & Hoffman, C. Cumulative parenting stress across the preschool period: Relations to maternal parenting and child behaviour at age 5. Infant Child Dev. 14, 117–132 (2005).

    Article  Google Scholar 

  72. Pavlakis, A. E., Noble, K., Pavlakis, S. G., Ali, N. & Frank, Y. Brain imaging and electrophysiology biomarkers: is there a role in poverty and education outcome research? Pediatr. Neurol. 52, 383–388 (2015).

    Article  PubMed  Google Scholar 

  73. Hampel, H. et al. Biomarkers for Alzheimer’s disease: academic, industry and regulatory perspectives. Nat. Rev. Drug Discov. 9, (560–574 (2010).

    Google Scholar 

  74. Neville, H. J. et al. Family-based training program improves brain function, cognition, and behavior in lower socioeconomic status preschoolers. Proc. Natl Acad. Sci. USA 110, 12138–12143 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  75. Blair, C. & Raver, C. C. Closing the achievement gap through modification of neurocognitive and neuroendocrine function: results from a cluster randomized controlled trial of an innovative approach to the education of children in kindergarten. PLoS ONE 9, e112393 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  76. Noble, K. G. Brain trust. Sci. Am. 316, 44 (2017).

    Article  PubMed  Google Scholar 

  77. Nelson, C. A. An international approach to research on brain development. Trends Cognitive Sci. 19, 424–426 (2015).

    Article  Google Scholar 

  78. Perera, F. & Herbstman, J. Prenatal environmental exposures, epigenetics, and disease. Reproductive Toxicol. 31, 363–373 (2011).

    Article  CAS  Google Scholar 

  79. Gilman, S. E. et al. Socioeconomic disadvantage, gestational immune activity, and neurodevelopment in early childhood. Proc. Natl Acad. Sci. USA 114, 6728–6733 (2017).

    PubMed  PubMed Central  CAS  Google Scholar 

  80. Buss, C. et al. Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems. Proc. Natl Acad. Sci. USA 109, E1312–E1319 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  81. Walvoord, E. C. The timing of puberty: is it changing? Does it matter? J. Adolesc. Health. 47, 433–439 (2010).

    Article  PubMed  Google Scholar 

  82. Takesian, A. E. & Hensch, T. K. Balancing plasticity/stability across brain development. Progress Brain Res. 207, 3–34 (2013).

    Article  Google Scholar 

  83. Harrison, C. A. & Taren, D. How poverty affects diet to shape the microbiota and chronic disease. Nat. Rev. Immunol. 18, 279–287 (2017).

    Article  PubMed  CAS  Google Scholar 

  84. Richardson, R., Cowan, C. S. M., Callaghan, B. L. & Kan, J. M. Effects of early-life stress on fear memory in the developing rat. Curr. Opin. Behav. Sci. 7, 15–20 (2016).

    Article  Google Scholar 

  85. Borghol, N. et al. Associations with early-life socio-economic position in adult DNA methylation. Int. J. Epidemiol. 41, 62–74 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  86. Uddin, M., Jansen, S. & Telzer, E. H. Adolescent depression linked to socioeconomic status? Molecular approaches for revealing premorbid risk factors. BioEssays 39, 1600194 (2017).

    Article  CAS  Google Scholar 

  87. Turecki, G. & Meaney, M. J. Effects of the social environment and stress on glucocorticoid receptor gene methylation: a systematic review. Biol. Psychiatry. 79, 87–96 (2016).

    Article  PubMed  CAS  Google Scholar 

  88. Zhang, T. Y., Labonte, B., Wen, X. L., Turecki, G. & Meany, M. J. Epigenetic mechanisms for the early environmental regulation of hippocampal glucocorticoid receptor gene expression in rodents and humans. Neuropsychopharmacol. Rev. 38, 111–123 (2013).

    Article  CAS  Google Scholar 

  89. Adwan, L. & Zawia, N. H. Epigenetics: A novel therapeutic approach for the treatment of Alzheimer’s disease. Pharmacol. Ther. 139, 41–50 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  90. Gavin, D. P. & Sharma, R. P. Histone modifications, DNA methylation, and schizophrenia. Neurosci. Biobehav. Rev. 34, 882–888 (2010).

    Article  PubMed  CAS  Google Scholar 

  91. Lipina, S. J. & Evers, K. Neuroscience of childhood poverty: Evidence of impacts and mechanisms as vehicles of dialog with ethics. Front. Psychol. 8, 61 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  92. Choudhury, S. & Slaby, J. Critical Neuroscience: A Handbook of the Social and Cultural Contexts of Neuroscience (John Wiley & Sons, 2016).

  93. Friedli, L. in Health Inequalities: Critical Perspectives (eds Smith, K. E., Bambra, C. & Hill, S. E.) 206–221 (Oxford Univ. Press, 2015).

  94. Macvarish, J., Lee, E. & Lowe, P. The ‘First Three Years’ movement and the infant brain: a review of critiques. Sociol. Compass 8, 792–804 (2014).

    Article  Google Scholar 

  95. Millei, Z. & Joronen, M. The (bio) politicization of neuroscience in Australian early years policies: Fostering brain-resources as human capital. J. Educ. Policy. 31, 389–404 (2016).

    Article  Google Scholar 

  96. Katz, M. B. The Undeserving Poor: America’s Enduring Confrontation with Poverty: Fully Updated and Revised (Oxford Univ. Press, 2013).

  97. Lee, C. D. A voyeuristic view of possibilities and threats: neurosciences and education. Hum. Dev. 57, 1–4 (2014).

    Article  Google Scholar 

  98. Becker, G. S. Human Capital: The Concise Encyclopedia of Economics (Library of Economics and Liberty, 2008).

  99. Blair, C. & Raver, C. C. Poverty, stress, and brain development: new directions for prevention and intervention. Academ. Pediatr. 16, S30–S36 (2016).

    Article  Google Scholar 

  100. Hulbert, A. Raising America: Experts, Parents, and a Century of Advice About Children (Vintage Books, 2004).

  101. Heckman, J. J. Skill formation and the economics of investing in disadvantaged children. Science 312, 1900–1902 (2006).

    Article  PubMed  CAS  Google Scholar 

  102. Vanderwert, R. E., Marshall, P. J., Nelson III, C. A., Zeanah, C. H. & Fox, N. A. Timing of intervention affects brain electrical activity in children exposed to severe psychosocial neglect. PLoS ONE 5, e11415 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  103. Hübener, M. & Bonhoeffer, T. Neuronal plasticity: beyond the critical period. Cell 159, 727–737 (2014).

    Article  PubMed  CAS  Google Scholar 

  104. Singh, I. Human development, nature and nurture: working beyond the divide. BioSocieties 7, 308–321 (2012).

    Article  Google Scholar 

  105. Shonkoff, J. P. & Bales, S. N. Science does not speak for itself: translating child development research for the public and its policymakers. Child Dev. 82, 17–32 (2011).

    Article  PubMed  Google Scholar 

  106. Kessler, R. C. et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry. 62, 593–602 (2005).

    Article  PubMed  Google Scholar 

  107. Sirin, S. R. Socioeconomic status and academic achievement: a meta-analytic review of research. Rev. Educat. Res. 75, 417–453 (2005).

    Article  Google Scholar 

  108. Dunham, H. W. Social structures and mental disorders: Competing hypotheses of explanation. The Milbank Memorial Fund Quarterly. 39, 259–311 (1961).

    Article  PubMed  CAS  Google Scholar 

  109. Jensen, A. R. How much can we boost IQ and scholastic achievement? Harvard Educat. Rev. 39, 1–123 (1969).

    Article  Google Scholar 

  110. Herrnstein, R. J. I. Q. in the Meritocracy (Little, Brown, 1973).

  111. Duncan, G. J., Magnuson, K., & Votruba-Drzal, E. Moving beyond correlations in assessing the consequences of poverty. Annu. Rev. Psychol. 68, 413–434 (2017).

    Article  PubMed  Google Scholar 

  112. Costello, E. J., Compton, S. N., Keeler, G. & Angold, A. Relationships between poverty and psychopathology: a natural experiment. JAMA 290, 2023–2029 (2003).

    Article  PubMed  CAS  Google Scholar 

  113. Costello, E. J., Erklani, A., Copeland, W. & Angold, A. Association of family income supplements in adolescence with developments of psychiatric and substance use disorders in adulthood among an American Indian population. JAMA 303, 1954–1960 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  114. Kendler, K. S., Turkheimer, E., Ohlsson, H., Sundquist, J. & Sundquist, K. Family environment and the malleability of cognitive ability: a Swedish national home-reared and adopted-away cosibling control study. Proc. Natl Acad. Sci. USA 112, 4612–4617 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  115. van Praag, H., Kempermann, G. & Gage, F. H. Neural consequences of environmental enrichment. Nat. Rev. Neurosci. 1, 191–198 (2000).

    Article  PubMed  CAS  Google Scholar 

  116. Murgatroyd, C. A. & Nephew, B. C. Effects of early life social stress on maternal behavior and neuroendocrinology. Psychoneuroendocrinology 38, 219–228 (2013).

    Article  PubMed  CAS  Google Scholar 

  117. Rosenblum, L. A. & Paully, G. S. The effects of varying environmental demands on maternal and infant behavior. Child Dev. 55, 305–314 (1984).

    Article  PubMed  CAS  Google Scholar 

  118. Francis, D. D., Diorio, J., Liu, D. & Meaney, M. J. Nongenomic transmission across generations in maternal behavior and stress responses in the rat. Science 286, 1155–1158 (1999).

    Article  PubMed  CAS  Google Scholar 

  119. Gianaros, P. J., Marsland, A. L., Sheu, L. K., Erikson, K. I. & Verstynen, T. D. Inflammatory pathways link socioeconomic inequalities to white matter architecture. Cereb. Cortex 23, 2058–2071 (2013).

    Article  PubMed  Google Scholar 

  120. Gianaros, P. J. et al. Community socioeconomic disadvantage in midlife relates to cortical morphology via neuroendocrine and cardiometabolic pathways. Cereb. Cortex 27, 460–473 (2017).

    PubMed  Google Scholar 

  121. 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).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  122. Krishnadas, R. et al. Socioeconomic deprivation and cortical morphology: psychological, social, and biological determinants of ill health study. Am. Psychosomat. Soc. 75, 616–623 (2013).

    Article  Google Scholar 

  123. Holz, N. E. et al. The long-term impact of early life poverty on orbitofrontal cortex volume in adulthood: results from a prospective study over 25 years. Neuropsychopharmacology 40, 996–1004 (2015).

    Article  PubMed  Google Scholar 

  124. Farah, M. J. et al. in Neuroscience 2017 524.16 / UU77 (Washington, DC, 2017).

  125. Shonkoff, J. P. & Philips, D. A. From Neurons to Neighborhoods: The Science of Early Childhood Development (National Academy Press, 2000).

  126. Satel, S. & Lillenfield, S. O. Brainwashed: The Seductive Appeal of Mindless Neuroscience. (Basic Books, 2013).

  127. Legrenzi, P. & Umilta, C. Neuromania: On the Limits of Brain Science (Oxford Univ. Press, 2011).

  128. Tallis, R. Aping mankind: Neuromania, Darwinitis and the Misrepresentation of Humanity (Routledge, 2014).

  129. Weisberg, D. S., Keil, F. C., Goodstein, J., Rawson, E. & Gray, J. R. The seductive allure of neuroscience explanations. J. Cognitive Neurosci. 20, 470–477 (2008).

    Article  Google Scholar 

  130. Farah, M. J. & Hook, C. J. The seductive allure of “Seductive Allure”. Persp. Psychol. Sci. 8, 88–90 (2013).

    Article  Google Scholar 

  131. Rostron, B. L., Boies, J. L. & Arias, E. Education reporting and classification on death certificates in the United States. Vital Health Statist., Series 2, Data Evalu. Methods Res. 151, 1–21 (2010).

    Google Scholar 

  132. Public Health Agency of Canada. in Health status of Canadians 2016: Report of the Chief Public Health Officer. 55–57 (Her Majesty the Queen in Right of Canada as represented by the Minister of Health, 2016).

  133. The College Board. 2013 College-Bound Seniors Total Group Profile Report (College Board, 2013).

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Acknowledgements

The author is grateful to many people for their helpful comments on an earlier draft of this paper, including S. Lipina, C. Nelson, T. Nichols, K. Noble, J. Shonkoff and four anonymous reviewers.

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Farah, M.J. Socioeconomic status and the brain: prospects for neuroscience-informed policy. Nat Rev Neurosci 19, 428–438 (2018). https://doi.org/10.1038/s41583-018-0023-2

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