Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-05-27T19:32:02.929Z Has data issue: false hasContentIssue false

Part X - Crossing the borders

Published online by Cambridge University Press:  26 October 2017

Brian Hopkins
Affiliation:
Lancaster University
Elena Geangu
Affiliation:
Lancaster University
Sally Linkenauger
Affiliation:
Lancaster University
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2017

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Further reading

DeLoache, J.S., & Gottlieb, A. (Eds.) (2000). A world of babies: Imagined childcare guides for seven societies. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Hruschka, D.J. (2005). Biocultural dialogues: Biology and culture in psychological anthropology. Ethos, 33, 119.Google Scholar
Kusserow, A. (2004). American individualisms: Child rearing and social class in three neighborhoods. New York, NY: Palgrave Macmillan.CrossRefGoogle Scholar
LeVine, R.A., & New, R.S. (Eds.) (2008). Anthropology and child development: A cross-cultural reader. Malden, MA: Blackwell.Google Scholar
Small, M.F. (1998). Our babies, ourselves: How biology and culture shape the way we parent. New York, NY: Random House.Google Scholar
Trevathan, W.R. (2011). Human birth: An evolutionary perspective. New Brunswick, NJ: Transaction Publishers.Google Scholar

References

Anderson-Fye, E.P. (2003). Never leave yourself: Ethnopsychology as mediator of psychological globalization among Belizean schoolgirls. Ethos, 31, 5994.CrossRefGoogle Scholar
Bronfenbrenner, U., & Morris, P.A. (2006). The bioecological model of human development. In Lerner, R.M. & Damon, W. (Eds.), Handbook of child psychology (6th ed., Vol. 1, pp. 793828). Hoboken, NJ: Wiley.Google Scholar
Bruner, J.S. (1990). Acts of meaning. Cambridge, MA: Harvard University Press.Google Scholar
Chisholm, J.S. (1996). The evolutionary ecology of attachment organization. Human Nature, 7, 137.CrossRefGoogle ScholarPubMed
Crooks, D.L. (2003). Trading nutrition for education: Nutritional status and the sale of snack foods in an eastern Kentucky school. Medical Anthropology Quarterly, 17, 182199.CrossRefGoogle Scholar
Downey, G., & Lende, D.H. (2012). Neuroanthropology and the encultured brain. In Lende, D.H. & Downey, G. (Eds.), The encultured brain: An introduction to neuroanthropology (pp. 2365). Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Dressler, W.W. (2012). Cultural consonance: Linking culture, the individual and health. Preventive Medicine, 55, 390393.CrossRefGoogle ScholarPubMed
Dunbar, R., & Barrett, L. (Eds.) (2009). Oxford handbook of evolutionary psychology. Oxford, UK: Oxford University Press.Google Scholar
Fiese, B.H., Foley, K.P., & Spagnola, M. (2006). Routine and ritual elements in family mealtimes: Contexts for child well-being and family identity. New Directions for Child and Adolescent Development, 2006, 6789.Google Scholar
Gunnar, M.R., & Donzella, B. (2002). Social regulation of the cortisol levels in early human development. Psychoneuroendocrinology, 27, 199220.CrossRefGoogle ScholarPubMed
Harkness, S., & Super, C.M. (2002). Culture and parenting. In Bornstein, M.H. (Ed.), Handbook of parenting, Volume 2: Biology and ecology of parenting (pp. 253280). Mahwah, NJ: Erlbaum.Google Scholar
Harris, J.R. (1995). Where is the child’s environment? A group socialization theory of development. Psychological Review, 102, 458489.CrossRefGoogle Scholar
Konner, M. (2010). The evolution of childhood: Relationships, emotion, mind. Cambridge, MA: Harvard University Press.Google Scholar
Landsman, G. (2003). Emplotting children’s lives: Developmental delay vs. disability. Social Science & Medicine, 56, 19471960.Google Scholar
Lende, D.H. (2005). Wanting and drug use: A biocultural approach to the analysis of addiction. Ethos, 33, 100124.Google Scholar
McDade, T.W. (2002). Status incongruity in Samoan youth: A biocultural analysis of culture change, stress, and immune function. Medical Anthropology Quarterly, 16, 123150.CrossRefGoogle ScholarPubMed
McDade, T.W., Williams, S., & Snodgrass, J.J. (2007). What a drop can do: Dried blood spots as a minimally invasive method for integrating biomarkers into population-based research. Demography, 44, 899925.CrossRefGoogle Scholar
Ochs, E., & Schieffelin, B.B. (2011). The theory of language socialization. In Duranti, A., Ochs, E., & Schieffelin, B.B. (Eds.), The handbook of language socialization (pp. 121). Chichester, UK: Blackwell.Google Scholar
Quinn, N., & Holland, D. (1987). Culture and cognition. In Holland, D. & Quinn, N. (Eds.), Cultural models in language and thought (pp. 340). Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Scheper-Hughes, N., & Sargent, C.F. (Eds.) (1998). Small wars: The cultural politics of childhood. Berkeley, CA: University of California Press.Google Scholar
Shonkoff, J.P., Garner, A.S., The Committee on Psychosocial Aspects of Child and Family Health, The Committee on Early Childhood, Adoption, and Dependent Care, & The Section on Developmental and Behavioral Pediatrics (2012). The lifelong effects of early childhood adversity and toxic stress. Pediatrics, 129, e232e246.Google Scholar
Shore, B. (1996). Culture in mind: Cognition, culture, and the problem of meaning. Oxford, UK: Oxford University Press.CrossRefGoogle Scholar
Shore, B. (2009). Making time for family: Schemas for long-term family memory. Social Indicators Research, 93, 95103.CrossRefGoogle Scholar
Sweet, E. (2010). “If your shoes are raggedy you get talked about”: Symbolic and material dimensions of adolescent social status and health. Social Science & Medicine, 70, 20292035.CrossRefGoogle ScholarPubMed
Tobin, J., Hsueh, Y., & Karasawa, M. (2009). Preschool in three cultures revisited: China, Japan, and the United States. Chicago, IL: University of Chicago Press.CrossRefGoogle Scholar
Weisner, T.S. (2002). Ecocultural understanding of children’s developmental pathways. Human Development, 45, 275281.CrossRefGoogle Scholar
Whiting, J., & Whiting, B. (1978). A strategy for psychocultural research. In Spindler, G.D. (Ed.), The making of psychological anthropology (pp. 4161). Berkeley, CA: University of California Press.CrossRefGoogle Scholar
Worthman, C.M. (2009). Habits of the heart: Life history and the developmental neuroendocrinology of emotion. American Journal of Human Biology, 21, 772781.Google Scholar
Worthman, C.M. (2010). The ecology of human development: Evolving models for cultural psychology. Journal of Cross-Cultural Psychology, 41, 546562.CrossRefGoogle Scholar

Further reading

Blumberg, M.S., Freeman, J.H., Jr., & Robinson, S.R. (Eds.) (2010). Oxford handbook of developmental behavioral neuroscience. New York, NY: Oxford University Press.Google Scholar
Hood, K.E., Halpern, C.T., Greenberg, G., & Lerner, R.M. (Eds.) (2010). The handbook of developmental science, behavior, and genetics. Malden, MA: Wiley Blackwell.CrossRefGoogle Scholar
Hopkins, B., & Johnson, S.P. (Eds.) (2005). Prenatal development of postnatal functions. Westport, CT: Praeger.Google Scholar
Nathanielsz, P.W. (1999). Life in the womb: The origin of health and disease. Ithaca, NY: Promethean Press.Google Scholar
Reissland, N., & Kisilevsky, B. S. (2016). Fetal development: Research on brain and behavior, environmental influences, and emerging technologies. Cham, Switzerland: Springer.CrossRefGoogle Scholar

References

Bekoff, A. (2001). Development of motor behavior in chick embryos. In Kalverboer, A.F. & Gramsbergen, A. (Eds.), Handbook of brain and behavior in human development (pp. 429445). Dordrecht, NL: Kluwer.Google Scholar
Bower, T.G.R. (1979). Human development. San Francisco, CA: Freeman.Google Scholar
Bradley, N.S., Solanki, D., & Zhao, D. (2005). Limb movements during embryonic development in the chick: Evidence for a continuum in limb motor control antecedent to locomotion. Journal of Neurophysiology, 94, 44014411.Google Scholar
Brumley, M.R., & Robinson, S.R. (2010). Experience in the perinatal development of action systems. In Blumberg, M.S., Freeman, J.H. Jr., & Robinson, S.R. (Eds.), Oxford handbook of developmental behavioral neuroscience (pp. 181209). New York, NY: Oxford University Press.Google Scholar
Carmichael, L. (1954). The onset and early development of behavior. In Carmichael, L. (Ed.), Manual of child psychology (2nd ed., pp. 60185). New York, NY: Wiley.Google Scholar
Gottlieb, G. (1997). Synthesizing nature–nurture. Mahwah, NJ: Erlbaum.Google Scholar
Lecanuet, J.-P., Krasnegor, N.A., Fifer, W.P., & Smotherman, W.P. (Eds.) (1995). Fetal development: A psychobiological perspective. New York, NY: Erlbaum.Google Scholar
Moessinger, A.C. (1983). Fetal akinesia deformation sequence: An animal model. Pediatrics, 72, 857863.CrossRefGoogle ScholarPubMed
Nehring, I., Kostka, T., von Kries, R., & Rehfuess, E.A. (2015). Impacts of in utero and early infant taste experiences on later taste acceptance: A systematic review. Journal of Nutrition, 145, 12711279.Google Scholar
Riley, E.P., Infante, M.A., & Warren, K.R. (2011). Fetal alcohol spectrum disorders: A overview. Neuropsychology Review, 21, 7380.CrossRefGoogle ScholarPubMed
Robinson, S.R., & Kleven, G.A. (2005). Learning to move before birth. In Hopkins, B. & Johnson, S.P. (Eds.), Prenatal development of postnatal functions (pp. 131175). Westport, CT: Praeger.Google Scholar
Robinson, S.R., & Mendez-Gallardo, V. (2010). Amniotic fluid as an extended milieu interieur. In Hood, K.E., Halpern, C.T., Greenberg, G., & Lerner, R.M. (Eds.), Handbook of developmental science, behavior, and genetics (pp. 234284). Malden, MA: Wiley Blackwell.CrossRefGoogle Scholar
Ronca, A.E., & Alberts, J.R. (2000). Effects of prenatal space-flight on vestibular responses in neonatal rats. Journal of Applied Physiology, 89, 23182324.Google Scholar
Ross, M.G., & Nijland, M.J.M. (1998). Development of ingestive behavior. American Journal of Physiology, 274, R879R893.Google ScholarPubMed
Schaal, B. (2005). From amnion to colostrum to milk: Odor bridging in early developmental transitions. In Hopkins, B. & Johnson, S.P. (Eds.), Prenatal development of postnatal functions (pp. 51102). Westport, CT: Praeger.Google Scholar
Spear, N.E., & Molina, J.C. (2005). Fetal or infantile exposure to ethanol promotes ethanol ingestion in adolescence and adulthood: A theoretical review. Alcoholism–Clinical and Experimental Research, 29, 909929.Google Scholar
Underwood, M.A., Gilbert, W.M., & Sherman, M.P. (2005). Amniotic fluid: Not just fetal urine anymore. Journal of Perinatology, 25, 341348.Google Scholar

Further reading

Avinun, R., & Knafo-Noam, A. (2015). Socialization, genetics and their interplay in development. In Grusec, J.E. & Hastings, P.D. (Eds.), Handbook of socialization: Theory and research (2nd. ed., pp. 347–371). New York, NY: Guilford Press.Google Scholar
Ellis, B.J., Boyce, W.T., Belsky, J., Bakermans-Kranenburg, M.J., & van Ijzendoorn, M.H. (2011). Differential susceptibility to the environment: An evolutionary–neurodevelopmental theory. Development and Psychopathology, 23, 728.CrossRefGoogle Scholar
Meaney, M.J. (2010). Epigenetics and the biological definition of gene × environment interactions. Child Development, 81, 4179.CrossRefGoogle Scholar
Plomin, R. (2013). Child development and molecular genetics: 14 years later. Child Development, 84, 104120.Google Scholar
Pluess, M., & Belsky, J. (2013). Vantage sensitivity: Individual differences in response to positive experiences. Psychological Bulletin, 139, 901916.Google Scholar

Acknowledgments

We would like to thank Dr. William Gilks for his valuable comments on an early version of this entry. Preparation of this manuscript was supported by Starting Grant no. 240994 from the European Research Council (ERC) to Ariel Knafo. Reut Avinun is partly supported by a Kaye Einstein scholarship.

References

Avinun, R., & Knafo, A. (2014). Parenting as a reaction evoked by children’s genotype: A meta-analysis of children-as-twins studies. Personality and Social Psychology Review, 18, 87102.CrossRefGoogle ScholarPubMed
Davies, P., Cicchetti, D., & Hentges, R.F. (2014). Maternal unresponsiveness and child disruptive problems: The interplay of uninhibited temperament and dopamine transporter genes. Child Development, 86, 6379.Google Scholar
Donaldson, Z.R., & Young, L.J. (2008). Oxytocin, vasopressin, and the neurogenetics of sociality. Science, 322, 900904.CrossRefGoogle ScholarPubMed
Griswold, A.J., Ma, D., Cukier, H.N., Nations, L.D., Schmidt, M.A., Chung, R.-H., … & Whitehead, P.L. (2012). Evaluation of copy number variations reveals novel candidate genes in autism spectrum disorder-associated pathways. Human Molecular Genetics, 21, 35133523.CrossRefGoogle ScholarPubMed
Grossniklaus, U., Kelly, B., Ferguson-Smith, A.C., Pembrey, M., & Lindquist, S. (2013). Transgenerational epigenetic inheritance: How important is it? Nature Reviews Genetics, 14, 228235.Google Scholar
Hill, W., Davies, G., Van De Lagemaat, L., Christoforou, A., Marioni, R., Fernandes, C., … & Craig, L. (2014). Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins. Translational Psychiatry, 4, e341.Google Scholar
Lee, D., Brooks-Gunn, J., McLanahan, S.S., Notterman, D., & Garfinkel, I. (2013). The Great Recession, genetic sensitivity, and maternal harsh parenting. Proceedings of the National Academy of Sciences, 110, 1378013784.CrossRefGoogle ScholarPubMed
McAdams, T.A., Neiderhiser, J.M., Rijsdijk, F.V., Narusyte, J., Lichtenstein, P., & Eley, T.C. (2014). Accounting for genetic and environmental confounds in associations between parent and child characteristics: A systematic review of children-of-twins studies. Psychological Bulletin, 140, 11381173.CrossRefGoogle ScholarPubMed
McGowan, P.O., Sasaki, A., D’Alessio, A.C., Dymov, S., Labonté, B., Szyf, M., … & Meaney, M.J. (2009). Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse. Nature Neuroscience, 12, 342348.Google Scholar
Mills-Koonce, W.R., Propper, C.B., Gariepy, J.L., Blair, C., Garrett-Peters, P., & Cox, M.J. (2007). Bidirectional genetic and environmental influences on mother and child behavior: The family system as the unit of analyses. Development and Psychopathology, 19, 10731087.Google Scholar
Plomin, R., DeFries, J.C., & Loehlin, J.C. (1977). Genotype–environment interaction and correlation in the analysis of human behavior. Psychological Bulletin, 84, 309322.CrossRefGoogle ScholarPubMed
Tarantino, N., Tully, E.C., Garcia, S.E., South, S., Iacono, W.G., & McGue, M. (2014). Genetic and environmental influences on affiliation with deviant peers during adolescence and early adulthood. Developmental Psychology, 50, 663673.Google Scholar
Turkheimer, E., Pettersson, E., & Horn, E.E. (2014). A phenotypic null hypothesis for the genetics of personality. Annual Review of Psychology, 65, 515540.CrossRefGoogle ScholarPubMed
Williams, N.M., Franke, B., Mick, E., Anney, R.J., Freitag, C.M., Gill, M., … & Holmans, P. (2012). Genome-wide analysis of copy number variants in attention deficit hyperactivity disorder: The role of rare variants and duplications at 15q13. 3. American Journal of Psychiatry, 169, 195204.Google Scholar
Yang, J., Benyamin, B., McEvoy, B.P., Gordon, S., Henders, A.K., Nyholt, D.R., … & Montgomery, G.W. (2010). Common SNPs explain a large proportion of the heritability for human height. Nature Genetics, 42, 565569.Google Scholar
Yang, L., Neale, B.M., Liu, L., Lee, S.H., Wray, N.R., Ji, N., … & Li, J. (2013). Polygenic transmission and complex neuro developmental network for attention deficit hyperactivity disorder: Genome-wide association study of both common and rare variants. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 162, 419430.CrossRefGoogle Scholar

Further reading

Berenbaum, S.A., Blakemore, J.E.O., & Beltz, A.M. (2011). A role for biology in gender-related behavior. Sex Roles, 64, 804825.Google Scholar
Cosgrove, K.P., Mazure, C.M., & Staley, J.K. (2007). Evolving knowledge of sex differences in brain structure, function, and chemistry. Biological Psychiatry, 62, 847855.Google Scholar
Halpern, D.F. (2012). Sex differences in cognitive abilities (4th ed.). New York, NY: Psychology Press.Google Scholar
Lenroot, R.K., & Giedd, J.N. (2010). Sex differences in the adolescent brain. Brain and Cognition, 72, 4655.Google Scholar
Wizemann, T.M., Pardue, M.-L., & Committee on Understanding the Biology of Sex and Gender Differences ( 2001). Exploring the biological contributions to human health: Does sex matter? Washington, DC: National Academy Press.Google Scholar

References

Beltz, A.M., & Berenbaum, S.A. (2013). Cognitive effects of variations in pubertal timing: Is puberty a period of brain organization for human sex-typed cognition? Hormones and Behavior, 63, 823828.CrossRefGoogle ScholarPubMed
Beltz, A.M., Blakemore, J.E.O., & Berenbaum, S.A. (2013). Sex differences in brain and behavioral development. In Rubenstein, J. & Rakic, P. (Eds.), Comprehensive developmental neuroscience: Neural circuit development and function in the health and diseased brain (Vol. 3, pp. 467499). Oxford, UK: Elsevier.CrossRefGoogle Scholar
Blakemore, J.E.O., Berenbaum, S.A., & Liben, L.S. (2009). Gender development. New York, NY: Psychology Press/Taylor & Francis.Google Scholar
Cohen, L. (1988). Statistical power analysis for the behavioral sciences. New York, NY: Academic Press.Google Scholar
Giedd, J.N., Castellanos, F.X., Rajapakse, J.C., Vaituzis, A.C., & Rapoport, J.L. (1997). Sexual dimorphism of the developing human brain. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 21, 11851201.Google Scholar
Hall, J.J., Neal, T.J., & Dean, R.S. (2008). Lateralization of cerebral functions. In Horton, A.M. & Wedding, D.(Eds.), The neuropsychology handbook (3rd ed., pp. 183214). New York, NY: Springer.Google Scholar
Hyde, J.S., & Linn, M.C. (1988). Gender differences in verbal ability: A meta-analysis. Psychological Bulletin, 104, 5369.CrossRefGoogle Scholar
Hyde, J.S., Fennema, E., & Lamon, S.J. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107, 139155.CrossRefGoogle ScholarPubMed
Lenroot, R.K., Gogtay, N., Greenstein, D.K., Wells, E.M., Wallace, G.L., Clasen, L.S., … & Giedd, J.N. (2007). Sexual dimorphism of brain developmental trajectories during childhood and adolescence. NeuroImage, 36, 10651073.CrossRefGoogle ScholarPubMed
Linn, M.C., & Petersen, A.C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56, 14791498.Google Scholar
Lutchmaya, S., Baron-Cohen, S., & Raggatt, P. (2002). Foetal testosterone and vocabulary size in 18- and 24-month-old infants. Infant Behavior & Development, 24, 418424.CrossRefGoogle Scholar
Negriff, S., & Susman, E.J. (2011). Pubertal timing, depression, and externalizing problems: A framework, review, and examination of gender differences. Journal of Research on Adolescence, 21, 717746.CrossRefGoogle Scholar
Peper, J.S., Hulshoff Pol, H.E., Crone, E.A., & Van Honk, J. (2011). Sex steroids and brain structure in pubertal boys and girls: A mini-review of neuroimaging studies. Neuroscience, 191, 2837.Google Scholar
Puts, D.A., McDaniel, M.A., Jordan, C.L., & Breedlove, S.M. (2008). Spatial ability and prenatal androgens: Meta-analyses of CAH and digit ratio (2D:4D) studies. Archives of Sexual Behavior, 37, 100111.CrossRefGoogle Scholar
Ruble, D.N., Martin, C.L., & Berenbaum, S.A. (2006). Gender development. In Damon, W., R.M. Lerner, & Eisenberg, N. (Eds.), Handbook of child psychology: Social, emotional, and personality development (Vol. 3, 6th ed., pp. 858932). New York, NY: Wiley.Google Scholar
Schulz, K.M., Molenda-Figueira, H.A., & Sisk, C.L. (2009). Back to the future: The organizational-activational hypothesis adapted to puberty and adolescence. Hormones and Behavior, 55, 597604.CrossRefGoogle Scholar
Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28, 78106.Google Scholar
Uttal, D.H., Meadow, N.G., Tipton, E., Hand, L.L., Alden, A.R., Warren, C., & Newcombe, N.S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139, 352402.CrossRefGoogle ScholarPubMed
van Hemmen, J., Veltman, D.J., Hoekzema, E., Cohen-Kettenis, P.T., Dessens, A.B., & Bakker, J. (2016). Neural activation during mental rotation in complete androgen insensitivity syndrome: The influence of sex hormones and sex chromosomes. Cerebral Cortex, 26, 10361045.Google Scholar
Voyer, D., Voyer, S., & Bryden, M.P. (1995). Magnitude of sex differences in spatial abilities: A meta-analysis and consideration of critical variables. Psychological Bulletin, 117, 250270.CrossRefGoogle ScholarPubMed

Further reading

Fornito, A., Zalesky, A., & Breakspear, M. (2015). The connectomics of brain disorders. Nature Reviews Neuroscience, 16, 159172.CrossRefGoogle ScholarPubMed
Jbabdi, S., & Behrens, T.E. (2013). Long-range connectomics. Annals of the New York Academy of Sciences, 1305, 8393.Google Scholar
Sporns, O. (2010). Networks of the brain. Cambridge, MA: MIT Press.Google Scholar

References

Anderson, J.S., Druzgal, T.J., Froehlich, A., DuBray, M.B., Lange, N., Alexander, A.L., … & Lainhart, J.E. (2011). Decreased interhemispheric functional connectivity in autism. Cerebral Cortex, 21, 11341146.CrossRefGoogle ScholarPubMed
Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., … & Counsell, S.J. (2014). Rich-club organization of the newborn human brain. Proceedings of the National Academy of Sciences, 111, 74567461.CrossRefGoogle ScholarPubMed
Biswal, B.B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S.M., … & Milham, M.P. (2010). Toward discovery science of human brain function. Proceedings of the National Academy of Sciences, 107, 47344739.Google Scholar
Bullmore, E., & Sporns, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10, 186198.Google Scholar
Colonnese, M., & Khazipov, R. (2012). Spontaneous activity in developing sensory circuits: Implications for resting state fMRI. NeuroImage, 62, 22122221.Google Scholar
Doria, V., Beckmann, C.F., Arichi, T., Merchant, N., Groppo, M., Turkheimer, F.E., … & Edwards, A.D. (2010). Emergence of resting state networks in the preterm human brain. Proceedings of the National Academy of Sciences, 107, 2001520020.Google Scholar
Ecker, C., & Murphy, D. (2014). Neuroimaging in autism: From basic science to translational research. Nature Reviews Neurology, 10, 8291.Google Scholar
Hahamy, A., Behrmann, M., & Malach, R. (2015). The idiosyncratic brain: Distortion of spontaneous connectivity patterns in autism spectrum disorder. Nature Neuroscience, 18, 302309.CrossRefGoogle ScholarPubMed
Johansen-Berg, H., & Rushworth, M.F.S. (2009). Using diffusion imaging to study human connectional anatomy. Annual Review of Neuroscience, 32, 7594.Google Scholar
Kanazawa, H., Kawai, M., Kinai, T., Iwanaga, K., Mima, T., & Heike, T. (2014). Cortical muscle control of spontaneous movements in human neonates. European Journal of Neuroscience, 40, 25482553.Google Scholar
Kostovic, I., & Jovanov-Milosevic, N. (2006). The development of cerebral connections during the first 20–45 weeks’ gestation. Seminars in Fetal Neonatal Medicine, 11, 415422.CrossRefGoogle ScholarPubMed
Miller, J.A., Ding, S.-L., Sunkin, S.M., Smith, K.A., Ng, L., Szafer, A., … & Lein, E.S. (2014). Transcriptional landscape of the prenatal human brain. Nature, 508, 199206.Google Scholar
Müller, R.-A., Shih, P., Keehn, B., Deyoe, J.R., Leyden, K.M., & Shukla, D.K. (2011). Underconnected, but how? A survey of functional connectivity MRI studies in autism spectrum disorders. Cerebral Cortex, 21, 22332243.Google Scholar
Omidvarnia, A., Fransson, P., Metsäranta, M., & Vanhatalo, S. (2014). Functional bimodality in the brain networks of preterm and term human newborns. Cerebral Cortex, 24, 26572668.Google Scholar
Power, J.D., Fair, D.A., Schlaggar, B.L., & Petersen, S.E. (2010). The development of human functional brain networks. Neuron, 67, 735748.Google Scholar
Smith, S.M., Vidaurre, D., Beckmann, C.F., Glasser, M.F., Jenkinson, M., Miller, K.L., … & Van Essen, D.C. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences, 17, 666682.Google Scholar
Takahashi, E., Folkerth, R.D., Galaburda, A.L., & Grant, P.E. (2012). Emerging cerebral connectivity in the human fetal brain: An MR tractography study. Cerebral Cortex, 22, 455464.Google Scholar
Tomasi, D., & Volkow, N.D. (2012). Abnormal functional connectivity in children with attention-deficit/hyperactivity disorder. Biological Psychiatry, 71, 443450.CrossRefGoogle ScholarPubMed
Van den Heuvel, M.P., Kahn, R.S., Goñi, J., & Sporns, O. (2012). High-cost, high-capacity backbone for global brain communication. Proceedings of the National Academy of Sciences, 109, 1137211377.Google Scholar

Further reading

Eichler, E.E., Flint, J., Gibson, G., Kong, A., Leal, S.M., Moore, J.H., & Nadeau, J.H. (2010). Missing heritability and strategies for finding the underlying causes of complex disease. Nature Reviews Genetics, 11, 446450.Google Scholar
Ellegren, H. (2000a). Heterogeneous mutation processes in human microsatellite DNA sequences. Nature Genetics, 24, 400402.Google Scholar
Ellegren, H. (2000b). Microsatellite mutations in the germline: Implications for evolutionary inference. Trends in Genetics, 16, 551558.Google Scholar
Manolio, T.A., Collins, F.S., Cox, N.J., Goldstein, D.B., Hindorff, L.A., Hunter, D.J., … & Visscher, P.M. (2009). Finding the missing heritability of complex diseases. Nature, 461, 747753.Google Scholar
Rice, C., Beekman, D., Liu, L., & Erives, A. (2015). The nature, extent, and consequences of cryptic genetic variation in the opa repeats of Notch in Drosophila. G3∙Genes|Genomes| Genetics, 5, 24052419.Google Scholar

References

Alberi, L., Liu, S., Wang, Y., Badie, R., Smith-Hicks, C., Wu, J., … & Gaiano, N. (2011). Activity-induced Notch signaling in neurons requires Arc/Arg3.1 and is essential for synaptic plasticity in hippocampal networks. Neuron, 69, 437444.Google Scholar
Ananda, G., Walsh, E., Jacob, K.D., Krasilnikova, M., Eckert, K.A., Chiaromonte, F., & Makova, K.D. (2013). Distinct mutational behaviors differentiate short tandem repeats from microsatellites in the human genome. Genome Biology and Evolution, 5, 606620.CrossRefGoogle ScholarPubMed
Birney, E., Stamatoyannopoulos, J.A., Dutta, A., Guigó, R., Gingeras, T.R., Margulies, E.H., … & de Jong, P.J. (2007). Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature, 2007 799816.Google Scholar
Brittain, A., Stroebele, E., & Erives, A. (2014). Microsatellite repeat instability fuels evolution of embryonic enhancers in Hawaiian Drosophila. PLoS ONE, 9, e101177.CrossRefGoogle ScholarPubMed
Crocker, J., & Erives, A. (2013). A Schnurri/Mad/Medea complex attenuates the dorsal-twist gradient readout at vnd. Developmental Biology, 378, 6472.Google Scholar
Crocker, J., Potter, N., & Erives, A. (2010). Dynamic evolution of precise regulatory encodings creates the clustered site signature of enhancers. Nature Communications, 1, 99.Google Scholar
Crocker, J., Tamori, Y., & Erives, A. (2008). Evolution acts on enhancer organization to fine-tune gradient threshold readouts. PLoS Biology, 6, e263.Google Scholar
de Bivort, B.L., Guo, H.F., & Zhong, Y. (2009). Notch signaling is required for activity-dependent synaptic plasticity at the Drosophila neuromuscular junction. Journal of Neurogenetics, 23, 395404.Google Scholar
Ge, X., Hannan, F., Xie, Z., Feng, C., Tully, T., Zhou, H., … & Zhong, Y. (2004). Notch signaling in Drosophila long-term memory formation. Proceedings of the National Academy of Sciences, 101, 1017210176.Google Scholar
Kang, K., Lee, D., Hong, S., Park, S.G., & Song, M.R. (2013). The E3 ligase Mind bomb-1 (Mib1) modulates Delta-Notch signaling to control neurogenesis and gliogenesis in the developing spinal cord. Journal of Biological Chemistry, 288, 25802592.Google Scholar
Legendre, M., Pochet, N., Pak, T., & Verstrepen, K.J. (2007). Sequence-based estimation of minisatellite and microsatellite repeat variability. Genome Research, 17, 17871796.CrossRefGoogle ScholarPubMed
Morrison, S.J., Perez, S.E., Qiao, Z., Verdi, J.M., Hicks, C., Weinmaster, G., & Anderson, D.J. (2000). Transient Notch activation initiates an irreversible switch from neurogenesis to gliogenesis by neural crest stem cells. Cell, 101, 499510.CrossRefGoogle ScholarPubMed
Sargin, D., Botly, L.C., Higgs, G., Marsolais, A., Frankland, P.W., Egan, S.E., & Josselyn, S.A. (2013). Disrupting Jagged1-Notch signaling impairs spatial memory formation in adult mice. Neurobiology of Learning and Memory, 103C, 3949.Google Scholar
Song, Q., Sun, K., Shuai, Y., Lin, R., You, W., Wang, L., & Zhong, Y. (2009). Suppressor of Hairless is required for long-term memory formation in Drosophila. Journal of Neurogenetics, 23, 405411.Google Scholar
Taylor, M.K., Yeager, K., & Morrison, S.J. (2007). Physiological Notch signaling promotes gliogenesis in the developing peripheral and central nervous systems. Development, 134, 24352447.Google Scholar
Wheeler, S.R., Stagg, S.B., & Crews, S.T. (2008). Multiple Notch signaling events control Drosophila CNS midline neurogenesis, gliogenesis and neuronal identity. Development, 135, 30713079.CrossRefGoogle ScholarPubMed

Further reading

Coakley, J. (2011). Youth sports: What counts as “positive development?” Journal of Sport & Social Issues, 35, 306324.Google Scholar
Côté, J., & Lidor, R. (Eds.) (2013). Condition of children’s talent development in sport. Morgantown, WV: Fitness Information Technology.Google Scholar
Holt, N.L. (Ed.) (2007). Positive youth development through sport. New York, NY: Routledge.Google Scholar
Larson, R.W. (2000). Toward a psychology of positive youth development. American Psychologist, 55, 170183.CrossRefGoogle Scholar
Malina, R.M., Bouchard, C., & Bar-Or, O. (2004). Growth, maturation, and physical activity. Champaign, IL: Human Kinetics.CrossRefGoogle Scholar

References

Bass, B.M. (1985). Leadership and performance beyond expectations. New York, NY: Free Press.Google Scholar
Beauchamp, M.R., Barling, J., & Morton, K.L. (2011). Transformational teaching and adolescent self-determined motivation, self-efficacy, and intentions to engage in leisure time physical activity: A randomized controlled pilot trial. Applied Psychology: Health and Well-Being, 3, 127150.Google Scholar
Côté, J. (1999). The influence of the family in the development of talent in sport. The Sport Psychologist, 13, 395417.Google Scholar
Côté, J., Bruner, M.W., Erickson, K., Strachan, L., & Fraser-Thomas, J. (2010). Athlete development and coaching. In Lyle, J. and Cushion, C. (Eds.), Sport coaching: Professionalism and practice (pp. 6379). Oxford, UK: Elsevier.Google Scholar
Côté, J., & Gilbert, W. (2009). An integrative definition of coaching effectiveness and expertise. International Journal of Sports Science and Coaching, 4, 307323.Google Scholar
Côté, J., & Hancock, D.J. (2014). Evidence-based policies for youth sport programmes. International Journal of Sport Policy and Politics, 8, 5165.Google Scholar
Côté, J., Erickson, K., & Abernethy, B. (2013). Play and practice during childhood. In Côté, J., & Lidor, R. (Eds.), Conditions of children’s talent development in sport (pp. 920). Morgantown, WV: Fitness Information Technology.Google Scholar
Dumith, S.C., Gigante, D.P., Domingues, M.R., & Kohl, H.W. (2011). Physical activity change during adolescence: A systematic review and a pooled analysis. International Journal of Epidemiology, 40, 685698.Google Scholar
Evans, M.B., Eys, M.A., & Bruner, M.W. (2012). Seeing the “we” in “me” sports: The need to consider individual sport team environments. Canadian Psychology, 53, 301308.Google Scholar
Fraser-Thomas, J.L., Côté, J., & Deakin, J. (2005). Youth sport programs: An avenue to foster positive youth development. Physical Education & Sport Pedagogy, 10, 1940.CrossRefGoogle Scholar
Fredricks, J.A., & Eccles, J.S. (2006). Is extracurricular participation associated with beneficial outcomes? Concurrent and longitudinal relations. Developmental Psychology, 42, 698713.Google Scholar
Hassmen, P., Koivula, N., & Uutela, A. (2000). Physical exercise and psychological well-being: A population study in Finland. Preventative Medicine, 30, 1725.Google Scholar
Janssen, I., & LeBlanc, A.G. (2010). Systematic review of the health benefits of physical activity and fitness in school aged children and youth. International Journal of Behavioral Nutrition & Physical Activity, 7, 116.Google Scholar
Lerner, R.M. (2004). Liberty: Thriving and civic engagement among American youth. Thousand Oaks, CA: Sage.Google Scholar
Malina, R.M. (2014). Top 10 research questions related to growth and maturation of relevance to physical activity, performance, and fitness. Research Quarterly for Exercise and Sport, 85, 157173.Google Scholar
Shapiro, D.R., & Martin, J.J. (2014). The relationships among sport self-perceptions and social well-being in athletes with physical disabilities. Disability and Health Journal, 7, 4248.Google Scholar
Taverno Ross, S.E., Dowda, M., Beets, M.W., & Pate, R.R. (2013). Physical activity behavior and related characteristics of highly active eighth-grade girls. Journal of Adolescent Health, 52, 745751.Google Scholar
Tremblay, M.S., Warburton, D.E., Janssen, I., Paterson, D.H., Latimer, A.E., Rhodes, R.E., … & Duggan, M. (2011). New Canadian physical activity guidelines. Applied Physiology, Nutrition, and Metabolism, 36, 3646.Google Scholar
Tremblay, M.S., Gray, C.E., Akinroye, K., Harrington, D.M., Katzmarzyk, P.T., Lambert, E.V., … & Tomkinson, G. (2014). Physical activity of children: A global matrix of grades comparing 15 countries. Journal of Physical Activity and Health, 11, S113135.Google Scholar
Vella, S.A., Oades, L.G., & Crowe, T.P. (2013). A pilot test of transformational leadership training for sports coaches: Impact on the developmental experiences of adolescent athletes. International Journal of Sports Science and Coaching, 8, 513530.Google Scholar
Zarrett, N., Lerner, R.M., Carrano, J., Fay, K., Peltz, J.S., & Li, Y. (2008). Variations in adolescent engagement in sports and its influence on positive youth development. In Holt, N.L. (Ed.), Positive youth development through sport (pp. 923). New York, NY: Routledge.Google Scholar

Further reading

Brooks, P.J., & Kempe, V. (2012). Language development. Chichester, UK: British Psychology Society & Wiley.Google Scholar
de Villiers, J. (2007). The interface of language and theory of mind. Lingua, 117, 18581878.Google Scholar
MacWhinney, B., & Bates, E. (1989). The cross-linguistic study of sentence processing. Cambridge, UK: Cambridge University Press.Google Scholar
Stumper, B., Bannard, C., Lieven, E.V.M., & Tomasello, M. (2011). “Frequent frames” in German child-directed speech: A limited cue to grammatical categories. Cognitive Science, 35, 11901205.Google Scholar

References

Ambridge, B., & Lieven, E.V.M. (2011). Child language acquisition: Contrasting theoretical perspectives. Cambridge, UK: Cambridge University Press.Google Scholar
Baldwin, D.A. (1993). Early referential understanding: Infants’ ability to recognize referential acts for what they are. Developmental Psychology, 29, 832843.Google Scholar
Bannard, C., & Matthews, D. (2008). Stored word sequences in language learning: The effect of familiarity on children’s repetition of four-word combinations. Psychological Science, 19, 241248.CrossRefGoogle ScholarPubMed
Chan, A., Lieven, E.V.M., & Tomasello, M. (2009). Children’s understanding of the agent–patient relations in the transitive construction: Cross-linguistic comparisons between Cantonese, German and English. Cognitive Linguistics, 20, 267300.Google Scholar
Eimas, P.D., Siqueland, E.R., Jusczyk, P.W., & Vigorito, J. (1971). Speech perception in infants. Science, 171, 303306.Google Scholar
Fodor, J. (1983). Modularity of mind: An essay on faculty psychology. Cambridge, MA: MIT Press.Google Scholar
Grassmann, S., Stracke, M., & Tomasello, M. (2009). Two-year-olds exclude novel objects as potential referents of novel words based on pragmatics. Cognition, 112, 488493.Google Scholar
Holt, L.L., & Lotto, A.J. (2010). Speech perception as categorization. Attention, Perception & Psychophysics, 72, 12181227.Google Scholar
Imai, M., & Gentner, D. (1997). A cross-linguistic study of early word meaning: Universal ontology and linguistic influence. Cognition, 62, 169200.Google Scholar
Karmiloff-Smith, A. (1992). Beyond modularity: A developmental perspective on cognitive science. Cambridge, MA: MIT Press.Google Scholar
Kirkham, N.Z., Slemmer, J.A., & Johnson, S.P. (2002). Visual statistical learning in infancy: Evidence of a domain-general learning mechanism. Cognition, 83, B35B42.Google Scholar
Matthews, D., Lieven, E.V.M., Theakston, A.L., & Tomasello, M. (2006). The effect of perceptual availability and prior discourse on young children’s use or referring expressions. Applied Psycholinguistics, 27, 403422.Google Scholar
Moll, H., & Tomasello, M. (2007). How 14- and 18-month-olds know what others have experienced. Developmental Psychology, 43, 309317.Google Scholar
Monaghan, P., Chater, N., & Christiansen, M.H. (2005). The differential contribution of phonological and distributional cues in grammatical categorisation. Cognition, 96, 143182.CrossRefGoogle ScholarPubMed
Saffran, J.R., Aslin, R.N., & Newport, E.L. (1996). Statistical learning by 8-month-old infants. Science, 274, 19261928.Google Scholar
Samuelson, L.K., Smith, L.B., Perry, L.K., & Spencer, J.P. (2011). Grounding word learning in space. PLoS ONE, 6, e28095.Google Scholar
Schick, B., de Villiers, P., de Villiers, J., & Hoffmeister, R. (2007). Language and theory of mind: A study of deaf children. Child Development, 78, 376396.Google Scholar
Tomasello, M. (2000). Do young children have adult syntactic competence? Cognition, 74, 209253.Google Scholar
Waxman, S.R., & Braun, I.E. (2005). Consistent (but not variable) names as invitations to form object categories: New evidence from 12-month-old infants. Cognition, 95, B59B68.Google Scholar

Further reading

Doom, J.R., & Georgieff, M.K. (2014). Striking while the iron is hot: Understanding the biological and neurodevelopmental effects of iron deficiency to optimize intervention in early childhood. Current Pediatric Reports, 2, 291298.Google Scholar
Rosales, F.J., Reznick, J.S., & Zeisel, S.H. (2009). Understanding the role of nutrition in the brain and behavioral development of toddlers and preschool children: Identifying and addressing methodological barriers. Nutritional Neuroscience, 12, 190202.Google Scholar
Zeisel, S.H. (2006). Genetic polymorphisms in methyl-group metabolism and epigenetics: Lessons from humans and mouse models. Brain Research, 1237, 511.Google Scholar

References

Barker, D.J.P. (1997). Maternal nutrition, fetal nutrition, and disease in later life. Nutrition, 13, 807813.Google Scholar
Bernstein, P.S., Sharifzadeh, M., Liu, A., Ermakov, I., Nelson, K., Sheng, X., … & Gellermann, W. (2013). Blue-light reflectance imaging of macular pigment in infants and children. Investigative Ophthalmology and Visual Science, 54, 40344040.Google Scholar
Cheatham, C.L. (2014). Mechanisms and correlates of a healthy brain: A commentary. Monographs of the Society for Research in Child Development, 79, 153165.Google Scholar
Cheatham, C.L., Colombo, J., & Carlson, S.E. (2006). n-3 Fatty acids and cognitive and visual acuity development: Methodologic and conceptual considerations. American Journal of Clinical Nutrition, 83, 1458S1466S.Google Scholar
Cheatham, C.L., Sesma, H.W., & Georgieff, M.K. (2010). The development of declarative memory in infants born preterm. London, UK: Elsevier.Google Scholar
Georgieff, M.K. (2008). The role of iron in neurodevelopment: Fetal iron deficiency and the developing hippocampus. Biochemical Society Transactions, 36, 12671271.Google Scholar
Ghosh, S., Vaid, K., Mohan, M., & Maheshwari, M.C. (1979). Effect of degree of duration of protein energy malnutrition on peripheral nerves in children. Journal of Neurology, Neurosurgery, and Psychiatry, 42, 760763.CrossRefGoogle ScholarPubMed
Greene, L.S. (1994). A retrospective view of iodine deficiency, brain development, and behavior from studies in Ecuador. In Stanbury, J.B. (Ed.), The damaged brain of iodine deficiency (pp. 173185). Philadelphia, PA: Cognizant Communications.Google Scholar
Johnson, E.J. (2004). A biological role of lutein. Food Reviews International, 20, 116.Google Scholar
Laus, M.F., Vales, L.D., Costa, T.M., & Almeida, S.S. (2011). Early postnatal protein–calorie malnutrition and cognition: A review of human and animal studies. International Journal of Environmental Research and Public Health, 8, 590612.Google Scholar
Levitsky, D.A., & Strupp, B.J. (1995). Malnutrition and the brain: Changing concepts, changing concerns. Journal of Nutrition, 125, 2212S2220S.CrossRefGoogle ScholarPubMed
Lozoff, B., & Georgieff, M.K. (2006). Iron deficiency and brain development. Seminars in Pediatric Neurology, 13, 158165.Google Scholar
McNamara, R.K., Able, J., Jandacek, R., Rider, T., Tso, P., Eliassen, J.C., … & Adler, C.M. (2010). Docosahexaenoic acid supplementation increases prefrontal cortex activation during sustained attention in healthy boys: A placebo-controlled, dose-ranging, functional magnetic resonance imaging study. American Journal of Clinical Nutrition, 91, 10601067.Google Scholar
Ravelli, G.-P., Stein, Z.A., & Susser, M.W. (1976). Obesity in young men after famine exposure in utero and early infancy. New England Journal of Medicine, 295, 349353.Google Scholar
Shaw, G.M., Carmichael, S.L., Yang, W., Selvin, S., & Schaffer, D.M. (2004). Periconceptional dietary intake of choline and betaine and neural tube defects in offspring. American Journal of Epidemiology, 160, 102109.Google Scholar
Sheppard, K.W., & Cheatham, C.L. (2013). Omega-6 to omega-3 fatty acid ratio and higher-order cognitive functions in 7- to 9-year-olds: A cross-sectional study. American Journal of Clinical Nutrition, 98, 659667.Google Scholar
Sheppard, K.W., & Cheatham, C.L. (2017). Executive functions and the omega-6 to omega-3 fatty acid ratio: A cross-sectional study. American Journal of Clinical Nutrition, 105, 32–41.Google Scholar
Thompson, J., Biggs, B.A., & Pasricha, S.R. (2013). Effects of daily iron supplementation in 2- to 5-year-old children: Systematic review and meta-analysis. Pediatrics, 131, 739753.Google Scholar

Further reading

Brogan, E., Cragg, L., Gilmore, C., Marlow, N., Simms, V., & Johnson, S. (2014). Inattention in very preterm children: Implications for screening and detection. Archives of Disease in Childhood, 99, 834839.Google Scholar
Jaekel, J., Eryigit-Madzwamuse, S., & Wolke, D. (2016). Preterm toddlers inhibitory control abilities predict attention regulation and academic achievement at age 8 years. Journal of Pediatrics, 169, 87–92.e1.Google Scholar
Montagna, A., & Nosarti, C. (2016). Socio-emotional development following very preterm birth: Pathways to psychopathology. Frontiers in Psychology, 7, 80.Google Scholar
Nosarti, C., Murray, R.M., & Hack, M. (Eds.) (2010). Neurodevelopmental outcomes of preterm birth: From childhood to adult life. Cambridge, UK: Cambridge University Press.Google Scholar
Treyvaud, K., Ure, A., Doyle, L.W., Lee, K.J., Rogers, C.E., Kidokoro, H., … & Anderson, P.J. (2013). Psychiatric outcomes at age seven for very preterm children: Rates and predictors. Journal of Child Psychology and Psychiatry, 54, 772779.Google Scholar

References

Anderson, P.J. (2014). Neuropsychological outcomes of children born very preterm. Seminars in Fetal & Neonatal Medicine, 19, 9096.Google Scholar
Ball, G., Boardman, J.P., Aljabar, P., Pandit, A., Arichi, T., Merchant, N., … & Counsell, S.J. (2013). The influence of preterm birth on the developing thalamocortical connectome. Cortex, 49, 17111721.Google Scholar
Ball, G., Pazderova, L., Chew, A., Tusor, N., Merchant, N., Arichi, T., … & Counsell, S.J. (2015). Thalamocortical connectivity predicts cognition in children born preterm. Cerebral Cortex, 25, 43104318.Google Scholar
Beauchamp, M.H., Thompson, D.K., Howard, K., Doyle, L.W., Egan, G.F., Inder, T.E., & Anderson, P.J. (2008). Preterm infant hippocampal volumes correlate with later working memory deficits. Brain, 131, 29862994.Google Scholar
Boardman, J.P., Craven, C., Valappil, S., Counsell, S.J., Dyet, L.E., Rueckert, D., … & Edwards, A.D. (2010). A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm. NeuroImage, 52, 409414.Google Scholar
Counsell, S.J., Edwards, A.D., Chew, A.T., Anjari, M., Dyet, L.E., Srinivasan, L., … & Cowan, F.M. (2008). Specific relations between neurodevelopmental abilities and white matter microstructure in children born preterm. Brain, 131, 32013208.Google Scholar
De Kieviet, J.F., Van Elburg, R.M., Lafeber, H.N., & Oosterlaan, J. (2012). Attention problems of very preterm children compared with age-matched term controls at school-age. Journal of Pediatrics, 161, 824829.Google Scholar
Diamond, A. (2005). Attention-deficit disorder (attention-deficit/ hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit/hyperactivity disorder (with hyperactivity). Development and Psychopathology, 17, 807825.Google Scholar
Ducharme, S., Hudziak, J.J., Botteron, K.N., Albaugh, M.D., Nguyen, T.V., Karama, S., & Evans, A.C. (2012). Decreased regional cortical thickness and thinning rate are associated with inattention symptoms in healthy children. Journal of the American Academy of Child and Adolescent Psychiatry, 51, 1827.Google Scholar
Eyler, L.T., Pierce, K., & Courchesne, E. (2012). A failure of left temporal cortex to specialize for language is an early emerging and fundamental property of autism. Brain, 135, 949960.Google Scholar
Goldenberg, R.L., Culhane, J.F., Iams, J.D., & Romero, R. (2008). Epidemiology and causes of preterm birth. Lancet, 371, 7584.Google Scholar
Gray, P.H., Edwards, D.M., O’Callaghan, M.J., & Gibbons, K. (2015). Screening for autism spectrum disorder in very preterm infants during early childhood. Early Human Development, 91, 271276.Google Scholar
Johnson, S., & Marlow, N. (2011). Preterm birth and childhood psychiatric disorders. Pediatric Research, 69, 2228.Google Scholar
Luyster, R.J., Kuban, K.C.K., O’Shea, T.M., Paneth, N., Allred, E.N., & Levitone, A. (2011). The Modified Checklist for Autism in Toddlers in extremely low gestational age newborns: Individual items associated with motor, cognitive, vision and hearing limitations. Paediatric and Perinatal Epidemiology, 25, 366376.Google Scholar
Moore, T., Johnson, S., Hennessy, E., & Marlow, N. (2012). Screening for autism in extremely preterm infants: Problems in interpretation. Developmental Medicine and Child Neurology, 54, 514520.Google Scholar
Murray, A.L., Scratch, S.E., Thompson, D.K., Inder, T.E., Doyle, L.W., Anderson, J.F.I., & Anderson, P.J. (2014). Neonatal brain pathology predicts adverse attention and processing speed outcomes in very preterm and/or very low birth weight children. Neuropsychology, 28, 552562.Google Scholar
Nam, K.W., Castellanos, N., Simmons, A., Froudist-Walsh, S., Allin, M.P., Walshe, M., … & Nosarti, C. (2015) Alterations in cortical thickness development in preterm-born individuals: Implications for high-order cognitive functions. NeuroImage, 115, 64–75.Google Scholar
Omizzolo, C., Scratch, S.E., Stargatt, R., Kidokoro, H., Thompson, D.K., Lee, K.J., … & Anderson, P.J. (2014). Neonatal brain abnormalities and memory and learning outcomes at 7 years in children born very preterm. Memory, 22, 605615.Google Scholar
Oskoui, M., Coutinho, F., Dykeman, J., Jetté, N., & Pringsheim, T. (2013). An update on the prevalence of cerebral palsy: A systematic review and meta-analysis. Developmental Medicine & Child Neurology, 55, 509519.CrossRefGoogle ScholarPubMed
Piek, J.P., Dawson, L., Smith, L.M., & Gasson, N. (2008). The role of early fine and gross motor development on later motor and cognitive ability. Human Movement Science, 27, 668681.Google Scholar
Pierce, K. (2011). Early functional brain development in autism and the promise of sleep fMRI. Brain Research, 1380, 162174.Google Scholar
Shaw, P., Malek, M., Watson, B., Sharp, W., Evans, A., & Greenstein, D. (2012). Development of cortical surface area and gyrification in attention-deficit/hyperactivity disorder. Biological Psychiatry, 72, 191197.Google Scholar
Van Hus, J.W., Potharst, E.S., Jeukens-Visser, M., Kok, J.H., & Van Wassenaer-Leemhuis, A.G. (2014). Motor impairment in very preterm-born children: Links with other developmental deficits at 5 years of age. Developmental Medicine and Child Neurology, 56, 587594.Google Scholar
Volpe, J.J. (2009). Brain injury in premature infants: A complex amalgam of destructive and developmental disturbances. Lancet Neurology, 8, 110124.Google Scholar
Wood, N.S., Costeloe, K., Gibson, A.T., Hennessy, E.M., Marlow, N., & Wilkinson, A.R. (2005). The EPICure study: Associations and antecedents of neurological and developmental disability at 30 months of age following extremely preterm birth. Archives of Disease in Childhood. Fetal and Neonatal Edition, 90, F134F140.Google Scholar
Woodward, L.J., Edgin, J.O., Thompson, D., & Inder, T.E. (2005). Object working memory deficits predicted by early brain injury and development in the preterm infant. Brain, 128, 25782587.CrossRefGoogle ScholarPubMed
Zwicker, J.G. (2014). Motor impairment in very preterm infants: Implications for clinical practice and research. Developmental Medicine & Child Neurology, 56, 514515.Google Scholar
Zwicker, J.G., Missiuna, C., Harris, S.R., & Boyd, L.A. (2012). Developmental coordination disorder: a review and update. European Journal of Paediatric Neurology, 16, 573581.Google Scholar

Further reading

Hinde, R.A. (1974). Biological bases of human social behaviour. New York, NY: McGraw-Hill.Google Scholar
Maestripieri, D. (Ed.) (2003). Primate psychology. Cambridge, MA: Harvard University Press.Google Scholar

References

Bardi, M., & Huffman, M.A. (2006). Maternal behavior and maternal stress are associated with infant behavioral development in macaques. Developmental Psychobiology, 48, 19.Google Scholar
Bowlby, J. (1969). Attachment and loss (Vol. I, Attachment). New York, NY, Basic Books.Google Scholar
Coyne, S.P., & Maestripieri, D. (2016). Effects of genes and early experience on the development of primate behavior and stress reactivity (pp. 161–184). In Sale, A. (Ed.), Environmental experience and plasticity of the developing brain. Hoboken, NJ: Wiley-Blackwell.Google Scholar
Fairbanks, L.A., & McGuire, M.T. (1987). Mother–infant relationships in vervet monkeys: Response to new adult males. International Journal of Primatology, 8, 351366.Google Scholar
Fairbanks, L.A., & McGuire, M.T. (1988). Long-term effects of early mothering behavior on responsiveness to the environment in vervet monkeys. Developmental Psychobiology, 21, 711724.Google Scholar
Ginsberg, S.D., Hof, P.R., McKinney, W.T., & Morrison, J.H. (1993). The noradrenergic innervation density of the monkey paraventricular nucleus is not altered by early social deprivation. Neuroscience Letters, 158, 130134.Google Scholar
Harlow, H.F. (1974). Learning to love. New York, NY: Jason Aronson.Google Scholar
Hinde, R.A., & Atkinson, S. (1970). Assessing the roles of social partners in maintaining mutual proximity, as exemplified by mother–infant relations in rhesus monkeys. Animal Behaviour, 18, 169176.Google Scholar
Hinde, R.A., & Spencer-Booth, Y. (1967). The behaviour of socially living rhesus monkeys in their first two and a half years. Animal Behaviour, 15, 169196.Google Scholar
Kraemer, G.W. (1992). A psychobiological theory of attachment. Behavioral and Brain Sciences, 15, 493541.Google Scholar
Laudenslager, M.L., & Boccia, M.L. (1996). Some observations on psychosocial stressors, immunity, and individual differences in nonhuman primates. American Journal of Primatology, 39, 205221.Google Scholar
Maestripieri, D. (2003). Attachment. In Maestripieri, D. (Ed.), Primate psychology (pp. 108143). Cambridge, MA: Harvard University Press.Google Scholar
Maestripieri, D., Lindell, S.G., & Higley, J.D. (2007). Intergenerational transmission of maternal behavior in rhesus macaques and its underlying mechanisms. Developmental Psychobiology, 49, 165171.Google Scholar
Maestripieri, D., McCormack, K., Lindell, S.G., Higley, J.D., & Sanchez, M.M. (2006). Influence of parenting style on the offspring’s behaviour and CSF monoamine metabolite levels in crossfostered and noncrossfostered female rhesus macaques. Behavioural Brain Research, 175, 9095.Google Scholar
Mandalaywala, T.M., Parker, K.J., & Maestripieri, D. (2014). Early experience affects the strength of vigilance for threat in rhesus monkey infants. Psychological Science, 25, 18931902.Google Scholar
Parker, K.J., & Maestripieri, D. (2011). Identifying key features of early stressful experiences that produce stress vulnerability and resilience in primates. Neuroscience & Biobehavioral Reviews, 35, 14661483.Google Scholar
Schino, G., Speranza, L., & Troisi, A. (2001). Early maternal rejection and later social anxiety in juvenile and adult Japanese macaques. Developmental Psychobiology, 38, 186190.Google Scholar
Simpson, M.J.A. (1985). Effects of early experience on the behaviour of yearling rhesus monkeys (Macaca mulatta) in the presence of a strange object: Classification and correlation approaches. Primates, 26, 5772.Google Scholar
Simpson, M.J.A., & Datta, S.B. (1990). Predicting infant enterprise from early relationships in rhesus macaques. Behaviour, 116, 4262.Google Scholar
Suomi, S.J. (1995). Influence of attachment theory on ethological studies of biobehavioral development in nonhuman primates. In Goldberg, S., Muir, R., & Kerr, J. (Eds.), Attachment theory: Social, developmental, and clinical perspectives (pp. 185201). Hillsdale, NJ: Analytic Press.Google Scholar

Further reading

Fergus, S., & Zimmerman, M.A. (2005). Adolescent resilience: A framework for understanding healthy development in the face of risk. Annual Review of Public Health, 26, 399419.Google Scholar
Masten, A.S. (2001). Ordinary magic: Resilience processes in development. American Psychologist, 56, 227238.Google Scholar
McLanahan, S. (2004). Diverging destinies: How children are faring under the second demographic transition. Demography, 41, 607627.Google Scholar
Wolfe, B., Evans, W., & Seeman, T.E. (Eds.) (2012). The biological consequences of socioeconomic inequalities. New York, NY: Russell Sage Foundation.Google Scholar

References

Alexander, K., Entwisle, D., & Olson, L. (2014). The long shadow: Family background, disadvantaged urban youth, and the transition to adulthood. New York, NY: Russell Sage Foundation.Google Scholar
Browning, C.R., Cagney, K.A., & Boettner, B. (2016). Neighborhood, place and the life course. In Shanahan, M.J., Mortimer, J.T., & Johnson, M.K. (Eds.), Handbook of the life course (2nd vol., pp. 597620). New York, NY: Springer.Google Scholar
Conger, R.D., & Dogan, S.J. (2007). Social class and socialization in families. In Grusec, J.E. & Hastings, P.D. (Eds.), Handbook of socialization theory and research (pp. 433460). New York, NY: Guilford Press.Google Scholar
Duncan, G.J., & Magnuson, K. (2011). The long reach of early childhood poverty. Pathways, Winter, 2227.Google Scholar
Elder, G.H., Jr. (1974). Children of the great depression: Social change in life experience. Chicago, IL: University of Chicago Press.Google Scholar
Elder, G.H., Jr., Johnson, M.K., & Crosnoe, R. (2003). The emergence and development of life course theory. In Mortimer, J.T. & Shanahan, M.J. (Eds.), Handbook of the life course (pp. 319). New York, NY: Springer.Google Scholar
Elliott, D.S., Menard, S., Rankin, B., Elliott, A., Huizinga, D., & Wilson, W.J. (2006). Good kids from bad neighborhoods: Successful development in social context. New York, NY: Cambridge University Press.Google Scholar
Ermisch, J., Jantti, M., & Smeeding, T. (Eds.) (2012). From parents to children: The intergenerational transmission of advantage. New York, NY: Russell Sage Foundation.Google Scholar
Evans, G.W., Brooks-Gunn, J., & Klebanov, P.K. (2011). Stressing out the poor: Chronic physiological stress and the income–achievement gap. Pathways, Winter, 1621.Google Scholar
Felitti, V.J., & Anda, A. (2010). The relationship of adverse childhood experiences to adult medical disease, psychiatric disorders, and sexual behavior: Implications for healthcare. In Lanius, R.A., Vermetten, E., & Pain, C. (Eds.), The impact of early life trauma on health and disease: The hidden epidemic (pp. 7787). New York, NY: Cambridge University Press.Google Scholar
Guang, G., & Stearns, E. (2002). The social influences of genetic potential for intellectual development. Social Forces, 80, 881910.Google Scholar
Heckman, J.J., Humphries, J.E., & Kautz, T. (Eds.) (2014). The myth of achievement tests: The GED and the role of character in American life. Chicago, IL: University of Chicago Press.Google Scholar
Kariya, T., & Rosenbaum, J.E. (2003). Stratified incentives and life course behaviors. In Mortimer, J.T. & Shanahan, M.J. (Eds.), Handbook of the life course (pp. 5178). New York, NY: Springer.Google Scholar
Kohn, M.L., & Schooler, C. (1983). Work and personality: An inquiry into the impact of social stratification. Norwood, NJ: Ablex.Google Scholar
Lareau, A. (2011). Unequal childhoods: Class, race, and family life (2nd ed. with an update a decade later). Berkeley, CA: University of California Press.Google Scholar
Luby, J., Belden, A., Botteron, K., Marrus, N., Harris, M.P., Babb, C., … & Barch, D. (2013). The effects of poverty on childhood brain development: The mediating effect of caregiving and stressful life events. JAMA Pediatrics, 167, 11351142.Google Scholar
Massey, D.S. (2004). Segregation and stratification: A biosocial perspective. Du Bios Review, 1, 725.Google Scholar
Mortimer, J.T. (2003). Working and growing up in America. Cambridge, MA: Harvard University Press.Google Scholar
National Institute of Child Health and Human Development Early Child Care Research Network ( 2005). Duration and developmental timing of poverty and children’s cognitive and social development from birth through third grade. Child Development, 76, 795810.Google Scholar
Reynolds, A.J., Temple, J.A., Ou, S.-R., Arteaga, I.A., & White, A.B. (2011). School-based early childhood education and age-28 well-being: Effects by timing, dosage and subgroups. Science, 333, 360364.Google Scholar
Shanahan, M.J., & Hofer, S.M. (2011). Molecular genetics, aging, and well-being: Sensitive period, accumulation, and pathway models. In Binstock, R.H. & George, L.K. (Eds.), Handbook of aging and the social sciences (7th ed., pp. 135147). Amsterdam, NL: Elsevier.Google Scholar
Shanahan, M.J., Vaisey, S., Erickson, L.D., & Smolen, A. (2008). Environmental contingencies and genetic propensities: Social capital, educational continuation, and dopamine receptor gene DRD2. American Journal of Sociology, 114, S260S286.Google Scholar
Shonkoff, J.P., & Garner, A.S. (2012). The lifelong effects of childhood adversity and toxic stress. Pediatrics, 129, e232e246.Google Scholar
Staff, J., Mont’Alvao, A., & Mortimer, J.T. (2015). Children at work. In Bornstein, M.H., Leventhal, T., & Lerner, R. (Eds.), Handbook of child psychology and developmental science (Vol. 4, Ecological settings and processes, 7th ed., pp. 130). New York, NY: Wiley.Google Scholar
Ungar, M., Ghazinour, M., & Richter, J. (2013). Annual research review: What is resilience within the social ecology of human development? Journal of Child Psychology and Psychiatry, 54, 348353.Google Scholar