Home (Family Structure, Maltreatment, SES) Influences

Resources

Alastalo, H., von Bonsdorff, M. B., Räikkönen, K., Pesonen, A.-K., Osmond, C., Barker, D. J. P., Heinonen, K., Kajantie, E., & Eriksson, J. G. (2013). Early life stress and physical and psychosocial functioning in late adulthood. PLoS ONE, 8(7), Article e69011. https://doi.org/10.1371/journal.pone.0069011

Benita, M., Matos, L., & Cerna, Y. (2021). The effect of mastery goal-complexes on mathematics grades and engagement: The case of Low-SES Peruvian students. Learning and Instruction, Article 101558. https://doi.org/10.1016/j.learninstruc.2021.101558

Bérubé, A., Turgeon, J., Blais, C., & Fiset, D. (2021). Emotion recognition in adults with a history of childhood maltreatment: A systematic review. Trauma, Violence & Abuse, Article 15248380211029403. Advance online publication. https://doi.org/10.1177/15248380211029403

Bohacek, J., Gapp, K., Saab, B. J., & Mansuy, I. M. (2013). Transgenerational epigenetic effects on brain functions. Biological Psychiatry, 73(4), 313-320. https://doi.org/10.1016/j.biopsych.2012.08.019

Bruce, J., Fisher, P. A., Graham, A. M., Moore, W. E., III, Peake, S. J., & Mannering, A. M. (2013). Patterns of brain activation in foster children and nonmaltreated children during an inhibitory control task. Development and Psychopathology, 25, 931-941. https://dx.doi.org/10.1017%2FS095457941300028X

Bruce, J., Gunnar, M. R., Pears, K. C., & Fisher, P. A. (2013). Early adverse care, stress neurobiology, and prevention science: Lessons learned. Prevention Science, 14, 247-256. https://dx.doi.org/10.1007%2Fs11121-012-0354-6

Burneo-Garcés, C., Cruz-Quintana, F., Pérez-García, M., Fernández-Alcántara, M., Fasfous, A., & Pérez-Marfil, M. N. (2019). Interaction between socioeconomic status and cognitive development in children aged 7, 9, and 11 Years: A cross-sectional study. Developmental Neuropsychology, 44(1), 1-16. https://doi.org/10.1080/87565641.2018.1554662

Center on the Developing Child at Harvard University. (2016). Building core capabilities for life: The science behind the skills adults need to succeed in parenting and in the workplace. Author.

Center on the Developing Child at Harvard University. (2016). From best practices to breakthrough impacts: A science-based approach to building a more promising future for young children and families facing adversity. Author.

Claro, S., Paunesku, D., & Dweck, C. S. (2016). Growth mindset tempers the effects of poverty on academic achievement. Proceedings of the National Academy of Sciences, 113(31), 8664-8668. https://doi.org/10.1073/pnas.1608207113

Cohen-Zimerman, S., Kachian, Z. R., Krueger, F., Gordon, B., & Grafman, J. (2019). Childhood socioeconomic status predicts cognitive outcomes across adulthood following traumatic brain injury. Neuropsychologia, 124, 1-8. https://doi.org/10.1016/j.neuropsychologia.2019.01.001

Conradt, E., DeGarmo, D., Fisher, P. A., Abar, B., Lester, B. M., Lagasse, L. L., Shankaran, S., Bada, H., Bauer, C. R., Whitaker, T.M., & Hammond, J. A. (2014). The contributions of early adverse experiences and trajectories of respiratory sinus arrhythmia on the developing of neurobehavioral disinhibition among children with prenatal substance exposure. Development and Psychopathology, 26, 901-916. https://dx.doi.org/10.1017%2FS095457941400056X

Davidson, C., Caes, L., Shing, Y. L., McKay, C., Rafetseder, E., & Wijeakumar, S. (2023). Home enrichment is associated with visual working memory function in preschoolers. Mind, Brain, and Education. doi.org/10.1111/mbe.12383

DeGarmo, D. S., Reid, J. B., Fetrow, B. A., Fisher, P. A., & Antoine, K. D. (2013). Preventing child behavior problems and substance use: The pathways home foster care reunification intervention. Journal of Child and Adolescent Substance Abuse, 22, 388-406. https://dx.doi.org/10.1080%2F1067828X.2013.788884

Delker, B. C., Kim, H., & Fisher, P. A. (2014). First time's a charm: Maternal problem drinking around the birth of a child in primiparous and multiparous women at risk for child maltreatment. Journal of Studies on Alcohol and Drugs, 75, 973-981. https://dx.doi.org/10.15288%2Fjsad.2014.75.973

Delker, B. C., Noll, L. K., Kim, H. K., & Fisher, P. A. (2014). Maternal abuse history and self regulation difficulties in preadolescence. Child Abuse & Neglect, 38, 2033-2043. https://dx.doi.org/10.1016%2Fj.chiabu.2014.10.014

Dennis, E., Manza, P., & Volkow, N. D. (2022). Socioeconomic status, BMI, and brain development in children. Translational Psychiatry, 12(1), 1-10. https://doi.org/10.1038/s41398-022-01779-3

Eghbalzad, L., Deocampo, J. A., & Conway, C. M. (2021). How statistical learning interacts with the socioeconomic environment to shape children’s language development. PloS one, 16(1), Article e0244954. https://doi.org/10.1371/journal.pone.0244954

Ek, A., Chamberlain, K. L., Ejderhamn, J., Fisher, P. A., Marcus, C., Chamberlain, P., & Nowicka, P. (2015). The more and less study: A randomized controlled trial testing different approaches to treat obesity in preschoolers. BMC Public Health, 15, 735-751. https://doi.org/10.1186/s12889-015-1912-1

Eli, K., Howell, K. R., Fisher, P. A., & Nowicka, P. (2014). Those comments last forever: Parents and grandparents of preschoolers recount how they became aware of their own body weights as children. Plos One, 9(11), 1-7. https://doi.org/10.1371/journal.pone.0111974

Eli, K., Howell, K., Fisher, P. A., & Nowicka, P. (2014). “A little on the heavy side”: a qualitative analysis of parents’ and grandparents’ perceptions of preschoolers’ body weights. BMJ Open, 4, Article e006609. https://doi.org/10.1371/journal.pone.0111974

Ellis, B. H., Alisic, E., Reiss, A., Dishion, T., & Fisher, P. A. (2014). Emotion regulation among preschoolers on a continuum of risk: The role of maternal emotion coaching. Journal of Child and Family Studies, 23(6), 965-974. https://dx.doi.org/10.1007%2Fs10826-013-9752-z

Evans, G. W., Li, D., & Whipple, S. S. (2013). Cumulative risk and child development. Psychological Bulletin, 139(6), 1342-1396. https://doi.org/10.1037/a0031808 

Farah, M. J. (2017). The neuroscience of socioeconomic status: Correlates, causes, and consequences. Neuron, 96(1), 56-71. https://doi.org/10.1016/j.neuron.2017.08.034

Felner, R. D., & DeVries, M. L. (2013). Poverty in childhood and adolescence: A transactional–ecological approach to understanding and enhancing resilience in contexts of disadvantage and developmental risk. In Handbook of resilience in children (pp. 105-126). Springer.   https://doi.org/10.1007/978-1-4614-3661-4_7

Fisher, P. A. (2014). It takes a family to raise a child. Human Development, 57, 313-318.

Fisher, P. A. (2015). Review: Adoption, fostering, and the needs of looked-after and adopted children. Child and Adolescent Mental Health, 20(1), 5-12. https://dx.doi.org/10.1111%2Fcamh.12084

Fisher, P. A. (2016). Translational neuroscience as a tool for intervention development in the context of high-adversity families. New Directions for Child and Adolescent Development, 2016(153), 111-125. https://dx.doi.org/10.1002%2Fcad.20165

Fisher, P. A. & Berkman, E. T. (2015). Designing interventions informed by scientific knowledge about effects of early adversity: A translational neuroscience agenda for next-generation addictions research. Current Addiction Reports, 2(4), 347-353. https://doi.org/10.1007/s40429-015-0071-x

Fisher, P. A., Bruce, J., Abdullev, Y., Mannering, A. M., & Pears, K. C. (2011). The effects of early adversity on the development of inhibitory control: Implications for the design of preventive interventions and the potential recovery of function. In M. T. Bardo, D. H. Fishbein, & R. Milich (Eds.), Inhibitory control and abuse prevention: From research to translation (pp. 229–247). Springer.

Fisher, P. A., Frenkel, T. I., Noll, L. K., Berry, M., and Yockelson, M. (2016). Promoting healthy child development via a two-generation translational neuroscience framework: The Filming Interactions to Nature Development video coaching program. Child Development Perspectives, 10(4), 251-256. https://dx.doi.org/10.1111%2Fcdep.12195

Fisher, P. A., Kim, H. K., Bruce, J., & Pears, K. C. (2011). Cumulative effects of prenatal substance exposure and early adversity on foster children’s HPA axis reactivity during a psychosocial stressor. International Journal of Behavioral Development, 36(1), 29–35.  https://dx.doi.org/10.1177%2F0165025411406863

Fisher, P. A., Lester, B. M., DeGarmo, D. S., LaGasse, L. L., Lin, H., Shankaran, S., Bada, H. S., Bauer, C. R., Hammond, J., Whitaker, T., & Higgins, R. (2011). The combined effects of prenatal drug exposure and early adversity on neurobehavioral disinhibition in childhood and adolescence. Development and Psychopathology, 23(3), 777–788. https://dx.doi.org/10.1017%2FS0954579411000290

Fisher, P. A., Leve, L. D., Delker, B., Roos, L., & Cooper, B. (2016). A developmental psychopathology perspective on foster care research. In D. Cicchetti (Ed.), Developmental psychopathology (pp.514-554). Wiley.

Fisher, P. A., Mannering, A. M., Van Scoyoc, A., & Graham, A. M. (2013). A translational neuroscience perspective on the importance of reducing placement instability among foster children. Child Welfare, 92(5), 9-36.

Fisher, P. A., Stoolmiller, M., Mannering, A. M., Takahashi, A., & Chamberlain, P. (2011). Foster placement disruptions associated with problem behavior: Mitigating a threshold effect. Journal of Consulting and Clinical Psychology, 79(4), 481–487. https://dx.doi.org/10.1037%2Fa0024313

Fisher, P. A., Van Ryzin, M. J., & Gunnar, M. R. (2011). Mitigating HPA axis dysregulation associated with placement changes in foster care. Psychoneuroendocrinology, 36(4), 531–539. https://dx.doi.org/10.1016%2Fj.psyneuen.2010.08.007

Fisher. P. A. & Gilliam, K. S. (2012). Research into theory into practice: An overview of family based interventions for child antisocial behavior developed at the Oregon Social Learning Center. Clinica y Salud, 23(3), 547-259. https://dx.doi.org/10.5093%2Fcl2012a16

Flannery, J. E., Beauchamp, K. G. & Fisher, P. A. (2017). The role of social buffering on chronic disruptions in quality of care: Evidence from caregiver-based interventions for foster children. Social Neuroscience, 12(1), 86-91. https://dx.doi.org/10.1080%2F17470919.2016.1170725

Fox, N. A., & Shonkoff, J. P. (2012, February). How persistent fear and anxiety can affect young children’s learning, behaviour and health. In Social and Economic Costs of Violence: Workshop Summary (pp. 69-83). National Academies Press.

Fox, S. E., Levitt, P., & Nelson III, C. A. (2010). How the timing and quality of early experiences influence the development of brain architecture. Child Development, 81(1), 28-40. https://dx.doi.org/10.1111%2Fj.1467-8624.2009.01380.x

Graham, A. M., Kim, H. K., & Fisher, P. A. (2012). Partner aggression in high-risk families from birth to age 3: Associations with harsh parenting and child maladjustment. Journal of Family Psychology, 26(1), 105-114. https://dx.doi.org/10.1037%2Fa0026722

Graham, A. M., Pfeifer, J. H., Fisher, P. A., Carpenter, S., & Fair, D. A. (2015). Early life stress is associated with default system integrity and emotionality during infancy. Journal of Child Psychology and Psychiatry, 56(11), 1212-1222. https://dx.doi.org/10.1111%2Fjcpp.12409

Graham, A. M., Pfeifer, J. H., Fisher, P. A., Lin, W., Gao, W., & Fair, F. A. (2015). The potential of infant fMRI research and the study of early life stress as a promising exemplar. Developmental Cognitive Neuroscience, 12, 12-39. https://doi.org/10.1016/j.dcn.2014.09.005

Graham, A. M., Yockelson, M. B., Kim, H. K., Bruce, J., Pears, K. C., & Fisher, P. A. (2012). Effects of maltreatment and early intervention on diurnal cortisol across the start of school: A pilot study. Child Abuse and Neglect, 36(9), 666-670. https://dx.doi.org/10.1016%2Fj.chiabu.2012.07.006

Gunnar, M. R. (2020). Early adversity, stress, and neurobehavioral development. Development and Psychopathology, 32(5), 1555-1562. https://doi.org/10.1017/s0954579420001649

Hackman, D. A., Farah, M. J., & Meaney, M. J. (2010). Socioeconomic status and the brain: mechanistic insights from human and animal research. Nature Reviews Neuroscience, 11(9), 651-659. https://dx.doi.org/10.1038%2Fnrn2897

Haimovitz, K., & Dweck, C. S. (2016). What predicts children’s fixed and growth intelligence mind-sets? Not their parents’ views of intelligence but their parents’ views of failure. Psychological Science, 27(6), 859-869. views of intelligence but their parents’ views of failure. Psychological Science, 27(6), 859–869. https://doi.org/10.1177/0956797616639727

Hambrick, E. P., Brawner, T. W., & Perry, B. D. (2019). Timing of early-life stress and the development of brain-related capacities. Frontiers in Behavioral Neuroscience, 13, Article 183. https://doi.org/10.3389/fnbeh.2019.00183

Healey C. V., & Fisher, P. A. (2011). Young children in foster care and the development of favorable outcomes. Children and Youth Services Review, 33(10), 1822–1830. https://dx.doi.org/10.1016%2Fj.childyouth.2011.05.007

Hulette, A. C., Freyd, J. J., & Fisher, P. A. (2011). Dissociation in middle childhood among foster children with early maltreatment experiences. Child Abuse and Neglect, 35(2), 123–126. https://dx.doi.org/10.1016%2Fj.chiabu.2010.10.002

Jankowski, K.F., Bruce, J., Beauchamp, K.G., Roos, L.E., Moore, W.E. III, & Fisher, P.A. (2017). Preliminary evidence of the impact of early childhood maltreatment and a preventive intervention on neural patterns of response inhibition in early adolescence. Developmental Science, 20(4), Article e12413. https://dx.doi.org/10.1111%2Fdesc.12413

Johnson, A., Bathelt, J., Akarca, D., Crickmore, G., Astle, D. E., & The RED Team. (2021). Far and wide: Associations between childhood socio-economic status and brain connectomics. Developmental Cognitive Neuroscience, 48, Article 100888. https://doi.org/10.1016/j.dcn.2020.100888

Kim-Spoon, J., Herd, T., Brieant, A., Peviani, K., Deater-Deckard, K., Lauharatanahirun, N., Lee, J., & King-Casas, B. (2021). Maltreatment and brain development: The effects of abuse and neglect on longitudinal trajectories of neural activation during risk processing and cognitive control. Developmental Cognitive Neuroscience, 48, 100939. https://doi.org/10.1016/j.dcn.2021.100939

Kweon, H., Aydogan, G., Dagher, A., Bzdok, D., Ruff, C. C., Nave, G., ... & Koellinger, P. D. (2022). Human brain anatomy reflects separable genetic and environmental components of socioeconomic status. Science Advances, 8(20), eabm2923.

Kovalčíková, I., Babinčák, P., Fuchsová, K., Karkošková, S., & Mikulášková, G. (2013). Can a victimized child be resilient?. UNESCO.

Laurent, H. K., Gilliam, K. S., Bruce, J., &Fisher, P. A. (2014). HPA stability for children in foster care: Mental health implications and moderation by early intervention. Developmental Psychobiology, 56(6), 1406-1415. https://dx.doi.org/10.1002%2Fdev.21226

Laurent, H. K., Leve, L. D., Neiderhiser, J. M., Natsuaki, M. N., Shaw, D. S., Fisher, P. A., & Reiss, D. (2014). Stress system development from age 4.5 to 6: Family environment predictors and adjustment implications of HPA stability vs. change. Developmental Psychobiology, 56(3), 340-354. https://dx.doi.org/10.1002%2Fdev.21103

Laurent, H. K., Leve, L. D., Neiderhiser, J. M., Natsuaki, M. N., Shaw, D. S., Fisher, P. A., Marceau, K., Harold, G. T., & Reiss, D. (2013). Effects of parental depressive symptoms on child adjustment moderated by Hypothalamic-Pituitary-Adrenal: Within- and between-family risk. Child Development, 84(2), 528-542. https://dx.doi.org/10.1111%2Fj.1467-8624.2012.01859.x

Lawson, G. M., Camins, J. S., Wisse, L., Wu, J., Duda, J. T., Cook, P. A., Gee, J. C., & Farah, M. J. (2017). Childhood socioeconomic status and childhood maltreatment: Distinct associations with brain structure. PloS one, 12(4), Article e0175690. https://doi.org/10.1371/journal.pone.0175690

Lawson, G. M., Hook, C. J., & Farah, M. J. (2018). A meta‐analysis of the relationship between socioeconomic status and executive function performance among children. Developmental Science, 21(2), e12529.

Lu, Y. C., Kapse, K., Andersen, N., Quistorff, J., Lopez, C., Fry, A., Cheng, J., Andescavage, N., Wu, Y., Espinosa, K., Vezina, G., du Plessis, A., & Limperopoulos, C. (2021). Association between socioeconomic status and in utero fetal brain development. JAMA Network Open, 4(3), Article e213526. https://doi.org/10.1001/jamanetworkopen.2021.3526

Lynch, F. L., Dickerson, J. F., Saldana, L., & Fisher, P. A. (2014). Incremental net benefit of early intervention for preschool-aged children with emotional and behavioral problems in foster care. Children and Youth Services Review, 36, 213-219. https://dx.doi.org/10.1016%2Fj.childyouth.2013.11.025

Marceau, K., Laurent, H. K., Neiderhiser, J. M., Reiss, D., Shaw, D. S., Natsuaki, M. N., Fisher, P. A., & Leve, L. D. (2015). Combined influences of genes, prenatal environment, cortisol, and externalizing problems. Behavior Genetics, 45(3), 268-282. https://dx.doi.org/10.1007%2Fs10519-014-9689-z

Marceau, K., Ram, N., Laurent, H. K., Leslie, L. D., Reiss, D., Shaw, D. S., Fisher, P. A., Natsuaki, M. & Neiderhiser, J. M. (2013). Disentangling the effects of genetic, prenatal, and parenting influences on children’s cortisol. Stress, 16(6), 607-615. https://dx.doi.org/10.3109%2F10253890.2013.825766

Martin, C. G., Bruce, J., & Fisher, P. A. (2012). Racial and ethnic differences in diurnal cortisol rhythms in preadolescents: The role of parental psychosocial risk and monitoring. Hormones and Behavior, 61(5), 661-668. https://dx.doi.org/10.1016%2Fj.yhbeh.2012.02.025

Martin, C. G., Fisher, P. A., & Kim, H. K. (2012). Risk for maternal harsh parenting in high-risk families from birth to age three: Does ethnicity matter? Prevention Science, 13(1), 64-74. https://dx.doi.org/10.1007%2Fs11121-011-0247-0

Martin, C. G., Kim, H. K., Bruce, J., Fisher, P. A. (2013). Child diurnal cortisol rhythms, parenting quality, and externalizing behaviors in preadolescence. Psychoneuroendocrinology, 40, 1708-180. https://dx.doi.org/10.1016%2Fj.psyneuen.2013.11.015

McCormick, M. P., O'Connor, E. E., Cappella, E., & McClowry, S. G. (2013). Teacher–child relationships and academic achievement: A multilevel propensity score model approach. Journal of School Psychology, 51(5), 611-624. https://doi.org/10.1016/j.jsp.2013.05.001

Meyer, O. L., Mungas, D., King, J., Hinton, L., Farias, S., Reed, B., ... & Beckett, L. (2018). Neighborhood socioeconomic status and cognitive trajectories in a diverse longitudinal cohort. Clinical Gerontologist, 41(1), 82-93. https://dx.doi.org/10.1080%2F07317115.2017.1282911

National Scientific Council on the Developing Child (2012). The science of neglect: The persistent absence of responsive care disrupts the developing brain. Working Paper No.12. Author.

Nelson III, C. A., & Gabard-Durnam, L. J. (2020). Early adversity and critical periods: neurodevelopmental consequences of violating the expectable environment.Trends in Neurosciences, 43(3), 133-143. https://doi.org/10.1016/j.tins.2020.01.002

Neuron Learning (2016, February 28). Effects of poverty on school success [Video]. (1:33:01). YouTube. https://www.youtube.com/watch?v=M1qLm_-s4Po

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., … Sowell, E. R. (2015). Family income, parental education and brain structure in children and adolescents. Nature Neuroscience, 18(5), 773–778. https://doi.org/10.1038/nn.3983

Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012). Neural correlates of socioeconomic status in the developing human brain. Developmental Science, 15(4), 516-527. https://dx.doi.org/10.1111%2Fj.1467-7687.2012.01147.x

Parents For Public Schools in Jackson, MI. (2013). The power of parents.\ [video]. (3:36 minutes). http://www.wkkf.org/what-we-do/featured-work/the-power-of-parents

Pears, K. C., Healey, C. V., Fisher, P. A., Braun, D., Gill, C., Conte, H. M., Newman, J., & Ticer, S. (2014). Immediate effects of a program to promote school readiness in low-income children: Results of a pilot study. Education and Treatment of Children, 37(3), 431-460. https://dx.doi.org/10.1353%2Fetc.2014.0021

Pears, K. C., Heywood, C. V., Kim, H. K., & Fisher, P. A. (2011). Prereading deficits in children in foster care. School Psychology Review, 40(1), 140–148..

Pears, K. C., Kim, H. K., & Fisher, P. A. (2012). Effects of a school readiness intervention for children in foster care on oppositional and aggressive behaviors in kindergarten. Children and Youth Services Review, 34(12), 2361-2366. https://dx.doi.org/10.1016%2Fj.childyouth.2012.08.015

Pears, K. C., Kim, H. K., & Fisher, P. A. (2013). Early school engagement and late elementary outcomes for maltreated children in foster care. Developmental Psychology, 49(12), 2201-2211. https://dx.doi.org/10.1037%2Fa0032218

Pears, K. C., Kim, H. K., & Fisher, P. A. (2016). Decreasing risk factors for later alcohol use and antisocial behaviors in children in foster care by increasing early promotive factors. Children and Youth Services Review, 65, 156-165. https://dx.doi.org/10.1016%2Fj.childyouth.2016.04.005

Pears, K. C., Kim, H. K., Buchanan, R., & Fisher, P. A. (2015). Adverse consequences of school mobility for children in foster care: A prospective longitudinal study, Child Development, 86, 1210-1226.https://dx.doi.org/10.1111%2Fcdev.12374

Pears, K. C., Kim, H. K., Capaldi, D. M., Kerr, D. C. R., & Fisher, P. A. (2013). Father-child transmission of school adjustment: A prospective intergenerational study. Developmental Psychology, 49, 792-803. https://dx.doi.org/10.1037%2Fa0028543

Pears, K. C., Kim, H. K., Fisher, P. A., & Yoerger, K. (2016). Increasing pre-kindergarten early literacy skills in children with developmental disabilities and delays. Journal of School Psychology, 57, 15-27.

Piersen, R. (2013, May). Every kid needs a champion [Video]. (7:48 minutes). TED Conferences. https://www.ted.com/talks/rita_pierson_every_kid_needs_a_champion?language=en

Rakesh, D., Cropley, V., Zalesky, A., Vijayakumar, N., Allen, N. B., & Whittle, S. (2021). Neighborhood disadvantage and longitudinal brain-predicted-age trajectory during adolescence. Developmental Cognitive Neuroscience, 51, Article 101002. https://doi.org/10.1016/j.dcn.2021.101002

Saxbe, D., Del Piero, L. B., Immordino-Yang, M. H., Kaplan, J. T., & Margolin, G. (2016). Neural mediators of the intergenerational transmission of family aggression. Development and Psychopathology, 28(02), 595-606. https://dx.doi.org/10.1017%2FS0954579415000528

Saxbe, D., Del Piero, L., Immordino-Yang, M. H., Kaplan, J., & Margolin, G. (2015). Neural correlates of adolescents’ viewing of parents’ and peers’ emotions: Associations with risk-taking behavior and risky peer affiliations. Social Neuroscience, 10(6), 592-604. https://dx.doi.org/10.1080%2F17470919.2015.1022216

Slopen, N., Shonkoff, J., Albert, M. A., Yoshikawa, H., Jacobs, A., Stoltz, R. & Williams, D. (2016). Racial disparities in child adversity in the United States: Interactions with family immigration history and income. American Journal of Preventive Medicine, 50(1), 47–56.

Takeuchi, H., Taki, Y., Asano, K., Asano, M., Sassa, Y., Yokota, S., Kotozaki, Y., Nouchi, R., & Kawashima, R. (2021). Childhood socioeconomic status is associated with psychometric intelligence and microstructural brain development. Communications Biology, 4(1), Article 470. https://doi.org/10.1038/s42003-021-01974-w

Teicher, M. H., Gordon, J. B., & Nemeroff, C. B. (2021). Recognizing the importance of childhood maltreatment as a critical factor in psychiatric diagnoses, treatment, research, prevention, and education. Molecular Psychiatry, 1-8. https://doi.org/10.1038/s41380-021-01367-9

Thomas, M. S. C., Forrester, N. A., & Ronald, A. (2013). Modelling socio-economic status effects on language development. Developmental Psychology, 49(12), 2325-43. https://doi.org/10.1037/a0032301

Tomasi, D., & Volkow, N. D. (2021). Associations of family income with cognition and brain structure in USA children: prevention implications. Molecular psychiatry, 26(11), 6619–6629. https://doi.org/10.1038/s41380-021-01130-0

Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021). Environmental influences on the pace of brain development. Nature Reviews Neuroscience, 22(6), 372-384. https://doi.org/10.1038/s41583-021-00457-5

Tottenham, N. (2013). The importance of early experiences for neuro-affective development. The Neurobiology of Childhood, 16, 109–129.. https://dx.doi.org/10.1007%2F7854_2013_254

University of Virginia School of Law. (2013, February 25). Poverty as disability: Neuroscience, poor children and special education [Video]. (47:51 minutes). YouTube.  https://www.youtube.com/watch?v=quyIbsjpv44

Vandenbroucke, L., Verschueren, K., Ceulemans, E., De Smedt, B., De Roover, K., & Baeyens, D. (2016). Family demographic profiles and their relationship with the quality of executive functioning subcomponents in kindergarten. British Journal of Developmental Psychology, 34(2), 226-244. https://doi.org/10.1111/bjdp.12127

Weller, J. A., & Fisher, P. A. (2013). Decision-making deficits among maltreated children. Child Maltreatment, 18(3), 184-194. https://dx.doi.org/10.1177%2F1077559512467846

Weller, J. A., Leve, L. D., Kim, H., Bhimji, J., & Fisher, P. A. (2015). Plasticity of risky decision making among maltreated adolescents: Evidence from a randomized controlled trial. Development and Psychopathology, 27(2), 535-551. https://dx.doi.org/10.1017%2FS0954579415000140

Wen, D. J., Poh, J. S., Ni, S. N., Chong, Y. S., Chen, H., Kwek, K., Shek, L. P., Gluckman, P. D., Fortier, M. V., Meaney, M. J., & Qiu, A. (2017). Influences of prenatal and postnatal maternal depression on amygdala volume and microstructure in young children. Translational Psychiatry, 7(4), Article e1103. https://doi.org/10.1038/tp.2017.74

Wendt, F. R., Pathak, G. A., Lencz, T., Krystal, J. H., Gelernter, J., & Polimanti, R. (2021). Multivariate genome-wide analysis of education, socioeconomic status and brain phenome. Nature Human Behaviour, 5(4), 482-496. https://dx.doi.org/10.1038%2Fs41562-020-00980-y

Wesarg, C., Van Den Akker, A. L., Oei, N. Y., Hoeve, M., & Wiers, R. W. (2020). Identifying pathways from early adversity to psychopathology: A review on dysregulated HPA axis functioning and impaired self-regulation in early childhood. European Journal of Developmental Psychology, 17(6), 808-827.

Yaple, Z. A., & Yu, R. (2020). Functional and structural brain correlates of socioeconomic status. Cerebral Cortex, 30(1), 181-196. https://doi.org/10.1093/cercor/bhz080

Zalewski, M., Lengua, L. J., Fisher, P., Trancik, A., Bush, N. R., & Meltzoff, A. (2012). Poverty and single parenting: Relations with preschoolers’ cortisol and effortful control. Infant and Child Development, 21, 537-554. https://doi.org/10.1002/icd.1759

Zalewski, M., Lengua, L. J., Kiff, C. J., & Fisher, P. A. (2012). Understanding the relation of low income to HPA-axis functioning in preschool children: cumulative family adversity and parenting as pathways to disruptions in cortisol. Child Psychiatry and Human Development, 43(6), 924-942. https://dx.doi.org/10.1007%2Fs10578-012-0304-3

Other Resources

APB Speakers (2016, July 26). Helping Harlem’s children - Geoffrey Canada [Video]. (3:53 minutes). YouTube. https://www.youtube.com/watch?v=PQGQpz_OAkI

Canada, G. (2013, May). Our failing schools. Enough is enough! [Video] (17:07 minutes). TED Conferences. https://www.ted.com/talks/geoffrey_canada_our_failing_schools_enough_is_enough?language=en

EEF thailand (2013, March 25). Harlem Children's Zone - 60 minutes - Title4. [video]. (14:10 minutes). YouTube. https://www.youtube.com/watch?v=xNI2CHuyV18 

Molnar, M. (2013). Boston leader connects parents to learning: Michele Brooks, Assistant Superintendent, Boston Public Schools [video]. (2:18 minutes). http://www.edweek.org/ew/articles/2013/02/06/20ltlf-brooks.h32.html

Radner, J. & Shonkoff, J. (2012). Mobilizing science to reduce intergenerational poverty. In Andrews, N., Erickson, D. (Eds.), Investing in what works for America’s communities. San Francisco, Federal Reserve Bank of San Francisco and Low Income Investment Fund.

Date of last update: 14-Dec-2022 CB

This resource is protected under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.