The neuroscience of human intelligence differences (original) (raw)

References

  1. Johnson, W., Carothers, A. & Deary, I. J. Sex differences in variability in general intelligence: a new look at the old question. Perspect. Psychol. Sci. 3, 518–531 (2008).
    Article PubMed Google Scholar
  2. Moffitt, T. E., Caspi, A., Harkness, A. R. & Silva, P. A. The natural history of change in intellectual performance: Who changes? How much? Is it meaningful? J. Child Psychol. Psychiatry 3, 455–506 (1993).
    Article Google Scholar
  3. Deary, I. J., Whalley, L. J., Lemmon, H., Crawford, J. R. & Starr, J. M. The stability of individual differences in mental ability from childhood to old age: follow-up of the 1932 Scottish Mental Survey. Intelligence 28, 49–55 (2000).
    Article Google Scholar
  4. Johnson, W., McGue, M. & Iacono, W. G. Genetic and environmental influences on academic achievement trajectories during adolescence. Dev. Psychol. 42, 513–542 (2006).
    Article Google Scholar
  5. Deary, I. J., Strand, S., Smith, P. & Fernandes, C. Intelligence and educational achievement. Intelligence 35, 13–21 (2007).
    Article Google Scholar
  6. Strenze, T. Intelligence and socioeconomic success: a meta-analytic review of longitudinal research. Intelligence 35, 401–426 (2007).
    Article Google Scholar
  7. Gottfredson, L. Why g matters: the complexity of everyday life. Intelligence 24, 79–132 (1997). A thorough documentation of the findings relating general intelligence to life outcomes, including a theoretical exposition of the reasons for the associations.
    Article Google Scholar
  8. Batty, G. D., Deary, I. J. & Gottfredson, L. S. Premorbid (early life) IQ and later mortality risk: systematic review. Ann. Epidemiol. 17, 278–288 (2007).
    Article PubMed Google Scholar
  9. Batty, G. D. et al. IQ in late adolescence/early adulthood and mortality by middle age: cohort study of one million Swedish men. Epidemiology 20, 100–109 (2009).
    Article PubMed Google Scholar
  10. Spearman, C. General intelligence, objectively determined and measured. Am. J. Psychol. 15, 201–293 (1904).
    Article Google Scholar
  11. Carroll, J. B. Human Cognitive Abilities: A Survey of Factor Analytic Studies. (Cambridge Univ. Press, Cambridge, 1993). A careful re-analysis of over 460 correlation matrices of cognitive ability tests, indicating a three-stratum hierarchical structure of intelligence with the g factor at the top.
    Book Google Scholar
  12. Deary, I. J. Looking Down on Human Intelligence: From Psychometrics to the Brain. (Oxford Univ. Press, Oxford, 2000).
    Book Google Scholar
  13. Deary, I. J., Johnson, W. & Houlihan, L. M. Genetic foundations of human intelligence. Hum. Genet. 126, 215–232 (2009). A detailed review of the quantitative and molecular genetic literature on intelligence, indicating that intelligence is heritable even though no robust association with a genetic variant has been found so far.
    Article PubMed Google Scholar
  14. McDaniel, M. A. Big-brained people are smarter: a meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence 33, 337–346 (2005). A meta-analysis of the relationship between structural MRI measures of full brain size and intelligence, showing a robust positive relationship.
    Article Google Scholar
  15. Galton, F. Heredity, talent, and character. Macmillan's Magazine 12, 157–166; 318–327 (1865).
    Google Scholar
  16. Plomin, R., DeFries, J. C., McClearn, G. E. & McGuffin, P. Behavioral Genetics 5th edn (Worth, New York, 2007).
    Google Scholar
  17. Johnson, W. et al. Genetic and environmental influences on the Verbal-Perceptual-Image Rotation (VPR) model of the structure of mental abilities in the Minnesota Study of Twins Reared Apart. Intelligence 35, 542–562 (2007).
    Article Google Scholar
  18. Posthuma, D., de Geus, E. J. & Boomsma, D. I. Perceptual speed and IQ are associated through common genetic factors. Behav. Genet. 31, 593–602 (2001).
    Article CAS PubMed Google Scholar
  19. Posthuma, D. et al. Genetic correlations between brain volumes and the WAIS-III dimensions of verbal comprehension, working memory, perceptual organization, and processing speed. Twin Res. 6, 131–139 (2003).
    Article PubMed Google Scholar
  20. Rijsdijk, F. V., Vernon, P. A. & Boomsma, D. I. Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study. Behav. Genet. 32, 199–210 (2002).
    Article PubMed Google Scholar
  21. Finkel, D., Pedersen, N. L., McGue, M. & McClearn, G. E. Heritability of cognitive abilities in adult twins: comparison of Minnesota and Swedish data. Behav. Genet. 25, 421–431 (1995).
    Article CAS PubMed Google Scholar
  22. McCartney, K., Harris, M. J. & Bernieri, F. Growing up and growing apart: a developmental meta-analysis of twin studies. Psychol. Bull. 107, 226–237 (1990).
    Article CAS PubMed Google Scholar
  23. McGue, M., Bouchard, T. J., Iacono, W. G. & Lykken, D. T. in Nature, Nurture, and Psychology (eds Plomin, R. & McClearn, G. E.) 59–76 (American Psychological Association, Washington DC, 1993).
    Book Google Scholar
  24. Wilson, R. S. Synchronies in mental development: an epigenetic perspective. Science 202, 939–948 (1978).
    Article CAS PubMed Google Scholar
  25. Spinath, F., Ronald, A., Harlaar, N., Price, T. S. & Plomin, R. Phenotypic g early in life: on the etiology of general cognitive ability in a large population sample of twin children aged 2–4 years. Intelligence 31, 195–210 (2003).
    Article Google Scholar
  26. Edmonds, C. J. et al. Inspection time and cognitive abilities in twins aged 7 to 17 years: age-related changes, heritability, and genetic covariance. Intelligence 36, 210–225 (2008).
    Article Google Scholar
  27. Jacobs, N., van Os, J., Derom, C. & Thiery, E. Heritability of intelligence. Twin Res. Hum. Genet. 10, 11–14 (2007).
    Article Google Scholar
  28. Bartels, M., Rietveld, M. J. H., Van Baal, G. C. M. & Boomsma, D. I. Genetic and environmental influences on the development of intelligence. Behav. Genet. 32, 237–249 (2002).
    Article CAS PubMed Google Scholar
  29. Hulshoff Pol, H. E. et al. Genetic contributions to human brain morphology and intelligence. J. Neurosci. 26, 10235–10242 (2006).
    Article PubMed PubMed Central CAS Google Scholar
  30. Pennington, B. F. et al. A twin study of size variations in the human brain. J. Cogn. Neurosci. 12, 223–232 (2000).
    Article CAS PubMed Google Scholar
  31. Peper, J. S., Brouwer, R. M., Boomsma, D. I., Kahn, R. S. & Hulshoff Pol, H. E. Genetic influences on human brain structure: a review of brain imaging studies in twins. Hum. Brain Mapp. 28, 464–473 (2007).
    Article PubMed PubMed Central Google Scholar
  32. Posthuma, D. et al. The association between brain volume and intelligence is of genetic origin. Nature Neurosci. 5, 83–84 (2002). The first empirical demonstration, using a twin study design and structural MRI, that the correlation between brain size and intelligence is genetically mediated.
    Article CAS PubMed Google Scholar
  33. Thompson, P. M. et al. Genetic influences on brain structure. Nature Neurosci. 4, 1253–1258 (2001).
    Article CAS PubMed Google Scholar
  34. Anokhin, A. P., Muller, V., Lindenberger, U., Heath, A. C. & Meyers, E. Genetic influences on dynamic complexity of brain oscillations. Neurosci. Lett. 397, 93–98 (2006).
    Article CAS PubMed PubMed Central Google Scholar
  35. Friedman, N. P. et al. Individual differences in executive function are almost entirely genetic in origin. J. Exp. Psychol. Gen. 137, 201–225 (2008).
    Article PubMed PubMed Central Google Scholar
  36. Miller, G. F. & Penke, L. The evolution of human intelligence and the coefficient of additive genetic variance in human brain size. Intelligence 35, 97–114 (2007).
    Article Google Scholar
  37. Shaw, P. et al. Intellectual ability and cortical development in children and adolescents. Nature 440, 676–679 (2006). A groundbreaking study showing that developmental plasticity in cortical thickness showed a stronger association with intelligence than cortical thickness per se.
    Article CAS PubMed Google Scholar
  38. Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L. & Toga, A. W. In vivo evidence for post-adolescence brain maturation in frontal and striatal regions. Nature Neurosci. 2, 859–861 (1999).
    Article CAS PubMed Google Scholar
  39. Giedd, J. N., Schmitt, J. E. & Neale, M. C. Structural brain magnetic imaging of pediatric twins. Hum. Brain Mapp. 28, 474–481 (2007).
    Article PubMed PubMed Central Google Scholar
  40. Lenroot, R. K. et al. Differences in genetic and environmental influences on the human cerebral cortex associated with development in childhood and adolescence. Hum. Brain Mapp. 30, 163–174 (2009).
    Article PubMed Google Scholar
  41. Chelly, J., Khelfaoui, M., Francis, F., Cherif, B. & Bienvenu, T. Genetics and pathophysiology of mental retardation. Eur. J. Hum. Genet. 14, 701–713 (2006).
    Article CAS PubMed Google Scholar
  42. Payton, A. The impact of genetic research on our understanding of normal cognitive ageing: 1995 to 2009. Neuropsychol. Rev. 19, 451–477 (2009).
    Article PubMed Google Scholar
  43. Wisdom, N. M., Callahan, J. L. & Hawkins, K. A. The effects of apolipoprotein E on non-impaired cognitive functioning: a meta-analysis. Neurobiol. Aging 12 Mar 2009 (doi: 10.1016/j.neurobiolaging.2009.02.003).
    Article CAS PubMed Google Scholar
  44. Bu, G. Apolipoprotein E and its receptors in Alzheimer's disease: pathways, pathogenesis and therapy. Nature Rev. Neurosci. 10, 333–344 (2009).
    Article CAS Google Scholar
  45. Barnett, J. H., Scoriels, L. & Munafo, M. R. Meta-analysis of the cognitive effects of the catechol-_O_-transferase gene Val158/108Met polymorphism. Biol. Psychiatry 64, 137–144 (2008).
    Article CAS PubMed Google Scholar
  46. Goldman, D., Weinberger, D. R., Malhotra, A. K. & Goldberg, T. E. The role of COMT Val158Met in cognition. Biol. Psychiatry 65, e1–2 (2009).
    Article PubMed Google Scholar
  47. Miyajima, F. et al. Brain-derived neurotrophic factor polymorphism Val66Met influences cognitive abilities in the elderly. Genes Brain Behav. 7, 411–417 (2007).
    Article PubMed CAS Google Scholar
  48. Need, A. C. et al. A genome-wide study of common SNPs and CNVs in cognitive performance in the CANTAB. Hum. Mol. Genet. 18, 4650–4661 (2009).
    Article CAS PubMed PubMed Central Google Scholar
  49. Penke, L., Denissen, J. J. A. & Miller, G. F. The evolutionary genetics of personality. Eur. J. Pers. 21, 549–587 (2007). A theoretical argument that intergenerationally accumulated rare variants (mutation load) underlie much of the genetic variance in intelligence.
    Article Google Scholar
  50. Penke, L., Denissen, J. J. A. & Miller, G. F. Evolution, genes, and inter-disciplinary personality research. Eur. J. Pers. 21, 639–665 (2007).
    Article Google Scholar
  51. Visscher, P. M. Sizing up human height variation. Nature Genet. 40, 489–490 (2008).
    Article CAS PubMed Google Scholar
  52. Galton, F. Head growth in students at the University of Cambridge. Nature 38, 14–15 (1888).
    Article Google Scholar
  53. Spitzka, E. A. A study of the brains of six eminent scientists belonging to the American Anthropometric Society: together with a description of the skull of Professor, E. D. Cope. Trans. Am. Philos. Soc. 21, 175–308 (1907).
    Article Google Scholar
  54. Rushton, J. P. & Ankney, C. D. Whole brain size and general mental ability: a review. Int. J. Neurosci. 119, 691–731 (2009).
    Article PubMed Google Scholar
  55. MacLullich, A. M. et al. Intracranial capacity and brain volumes are associated with cognition in healthy elderly men. Neurology 59, 169–174 (2002).
    Article CAS PubMed Google Scholar
  56. Witelson, S. F., Beresh, H. & Kigar, D. L. Intelligence and brain size in 100 post-mortem brains: sex, lateralization and age factors. Brain 129, 386–398 (2006).
    Article CAS PubMed Google Scholar
  57. Andreasen, N. C. et al. Intelligence and brain structure in normal individuals. Am. J. Psychiatry 150, 130–134 (1993).
    Article CAS PubMed Google Scholar
  58. Flashman, L. A., Andreasen, N. C., Flaum, M. & Swayze, V. W. Intelligence and regional brain volumes in normal controls. Intelligence 25, 149–160 (1997).
    Article Google Scholar
  59. Narr, K. L. et al. Relationships between IQ and regional cortical gray matter thickness in healthy adults. Cereb. Cortex 17, 2163–2171 (2007).
    Article PubMed Google Scholar
  60. Jung, R. E. & Haier, R. J. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: converging neuroimaging evidence. Behav. Brain Sci. 30, 135–154; discussion 154–187 (2007). A detailed review of structural neuroimaging correlates of intelligence supporting the conclusion that, in addition to frontal areas, a network of frontal and posterior brain areas are involved in general cognitive functions.
    Article PubMed Google Scholar
  61. Colom, R., Jung, R. E. & Haier, R. J. General intelligence and memory span: evidence for a common neuroanatomic framework. Cogn. Neuropsychol. 24, 867–878 (2007).
    Article PubMed Google Scholar
  62. Colom, R. et al. Gray matter correlates of fluid, crystallized, and spatial intelligence: testing the P-FIT model. Intelligence 37, 124–135 (2009).
    Article Google Scholar
  63. Haier, R. J. et al. Gray matter and intelligence factors: is there a neuro-g? Intelligence 37, 136–144 (2009).
    Article Google Scholar
  64. Karama, S. et al. Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds. Intelligence 37, 145–155 (2009).
    Article Google Scholar
  65. Choi, Y. Y. et al. Multiple bases of human intelligence revealed by cortical thickness and neural activation. J. Neurosci. 28, 10323–10329 (2008).
    Article CAS PubMed PubMed Central Google Scholar
  66. Luders, E., Narr, K. L., Thompson, P. M. & Toga, A. W. Neuroanatomical correlates of intelligence. Intelligence 37, 156–163 (2009).
    Article PubMed PubMed Central Google Scholar
  67. Nachev, P., Mah, Y. H. & Husain, M. Functional neuroanatomy: the locus of human intelligence. Curr. Biol. 19, R418–R420 (2009).
    Article CAS PubMed Google Scholar
  68. Luo, L. & O'Leary, D. D. M. Axon retraction and degeneration in development and disease. Annu. Rev. Neurosci. 28, 127–156 (2005).
    Article CAS PubMed Google Scholar
  69. Gläscher, J. et al. Lesion mapping of cognitive abilities linked to intelligence. Neuron 61, 681–691 (2009). The first brain-wide lesion study on intelligence based on a large sample, which allowed stronger inferences on the necessity of brain regions for general cognitive functions than other structural neuroimaging studies.
    Article PubMed PubMed Central CAS Google Scholar
  70. Sporns, O., Chialvo, D., Kaiser, M. & Hilgetag, C. C. Organization, development and function of complex brain networks. Trends Cogn. Sci. 8, 418–425 (2004).
    Article PubMed Google Scholar
  71. Li, Y. et al. Brain anatomical network and intelligence. PLoS Comput. Biol. 5, e1000395 (2009).
    Article PubMed PubMed Central CAS Google Scholar
  72. Achard, S., Salvador, R., Whitcher, B., Suckling, J. & Bullmore, E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 26, 63–72 (2006).
    Article CAS PubMed PubMed Central Google Scholar
  73. Bullmore, E. & Sporns, O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Rev. Neurosci. 10, 186–198 (2009).
    Article CAS Google Scholar
  74. Frisoni, G. B., Galluzzi, S., Pantoni, L. & Filippi, M. The effect of white matter lesions on cognition in the elderly: small but detectable. Nature Clin. Pract. Neurol. 3, 620–627 (2007).
    Article Google Scholar
  75. Turken, A. et al. Cognitive processing speed and the structure of white matter pathways: convergent evidence from normal variation and lesion studies. Neuroimage 42, 1032–1044 (2008).
    Article PubMed Google Scholar
  76. Deary, I. J., Leaper, S. A., Murray, A. D., Staff, R. T. & Whalley, L. J. Cerebral white matter abnormalities and lifetime cognitive change: a 67 year follow up of the Scottish Mental Survey 1932. Psychol. Aging 18, 140–148 (2003).
    Article PubMed Google Scholar
  77. Jung, R. E. et al. Imaging intelligence with proton magnetic resonance spectroscopy. Intelligence 37, 192–198 (2009).
    Article PubMed PubMed Central Google Scholar
  78. Deary, I. J. et al. White matter integrity and cognition in childhood and old age. Neurology 66, 505–512 (2006).
    Article CAS PubMed Google Scholar
  79. Schmithorst, V. J., Wilke, M., Dardzinski, B. J. & Holland, S. K. Cognitive functions correlate with white matter architecture in a normal pediatric population: a diffusion tensor MRI study. Hum. Brain Mapp. 26, 139–147 (2005).
    Article PubMed PubMed Central Google Scholar
  80. Chiang, M. C. et al. Genetics of brain fiber architecture and intellectual performance. J. Neurosci. 29, 2212–2224 (2009).
    Article CAS PubMed PubMed Central Google Scholar
  81. Charlton, R. A., McIntyre, D. J., Howe, F. A., Morris, R. G. & Markus, H. S. The relationship between white matter brain metabolites and cognition in normal aging: the GENIE study. Brain Res. 1164, 108–116 (2007).
    Article CAS PubMed Google Scholar
  82. Yu, C. et al. White matter tract integrity and intelligence in patients with mental retardation and healthy adults. Neuroimage 40, 1533–1541 (2008).
    Article PubMed Google Scholar
  83. Neubauer, A. C. & Fink, A. Intelligence and neural efficiency. Neurosci. Biobehav. Rev. 33, 1004–1023 (2009). A detailed and critical review of the neural efficiency hypothesis of intelligence based on functional neuroimaging data.
    Article PubMed Google Scholar
  84. Haier, R. J. et al. Cortical glucose metabolic-rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence 12, 199–217 (1988).
    Article Google Scholar
  85. van den Heuvel, M. P., Stam, C. J., Kahn, R. S. & Hulshoff Pol, H. E. Efficiency of functional brain networks and intellectual performance. J. Neurosci. 29, 7619–7624 (2009).
    Article CAS PubMed PubMed Central Google Scholar
  86. Song, M. et al. Brain spontaneous functional connectivity and intelligence. Neuroimage 41, 1168–1176 (2008).
    Article PubMed Google Scholar
  87. Haier, R. J., Jung, R. E., Yeo, R. A., Head, K. & Alkire, M. T. The neuroanatomy of general intelligence: sex matters. Neuroimage 25, 320–327 (2005).
    Article PubMed Google Scholar
  88. Schmithorst, V. J. Developmental sex differences in the relation of neuroanatomical connectivity to intelligence. Intelligence 37, 164–173 (2009).
    Article PubMed PubMed Central Google Scholar
  89. Neubauer, A. C., Grabner, R. H., Fink, A. & Neuper, C. Intelligence and neural efficiency: further evidence of the influence of task content and sex on the brain–IQ relationship. Brain Res. Cogn. Brain Res. 25, 217–225 (2005).
    Article PubMed Google Scholar
  90. Johnson, W. & Bouchard, T. J. Sex differences in mental abilities: g masks the dimensions on which they lie. Intelligence 35, 23–39 (2007).
    Article Google Scholar
  91. Chen, X., Sachdev, P. S., Wen, W. & Ansteyc, K. J. Sex differences in regional gray matter in healthy individuals aged 44–48 years: a voxel-based morphometric study. Neuroimage 36, 691–699 (2007).
    Article PubMed Google Scholar
  92. de Courten-Myers, G. M. The human cerebral cortex: gender differences in structure and function. J. Neuropathol. Exp. Neurol. 58, 217–226 (1999).
    Article CAS PubMed Google Scholar
  93. Luders, E. et al. Gender differences in cortical complexity. Nature Neurosci. 7, 799–800 (2004).
    Article CAS PubMed Google Scholar
  94. Dykiert, D., Gale, C. G. & Deary, I. J. Are apparent sex differences in mean IQ scores created in part by sample restriction and increased male variance? Intelligence 37, 42–47 (2009).
    Article Google Scholar
  95. Penke, L. in The Evolution of Personality and Individual Differences (eds Buss, D. M. & Hawley, P. H.)(Oxford Univ. Press, New York, in the press).
  96. Johnson, W. & Bouchard, T. J. Sex differences in mental ability: a proposed means to link them to brain structure and function. Intelligence 35, 197–209 (2007).
    Article Google Scholar
  97. Johnson, W., Jung, R. E., Colom, R. & Haier, R. J. Cognitive abilities independent of IQ correlate with regional brain structure. Intelligence 36, 18–28 (2008).
    Article Google Scholar
  98. Park, D. C. & Reuter-Lorenz, P. The adaptive brain: aging and neurocognitive scaffolding. Annu. Rev. Psychol. 60, 173–196 (2009).
    Article PubMed PubMed Central Google Scholar
  99. Cabeza, R. Hemispheric asymmetry reduction in older adults: the HAROLD model. Psychol. Aging 17, 85–100 (2002).
    Article PubMed Google Scholar
  100. Lohman, D. in Handbook of Intelligence (ed. Sternberg, R. J.) 285–340 (Cambridge Univ. Press, New York, 2000).
    Book Google Scholar
  101. Iaria, G., Petrides, M., Dagher, A., Pike, B. & Bohbot, V. D. Cognitive strategies dependent on the hippocampus and caudate nucleus in human navigation: variability and change with practice. J. Neurosci. 23, 5945–5952 (2003).
    Article CAS PubMed PubMed Central Google Scholar
  102. Rypma, B., Berger, J. S., Genova, H. M., Rebbechi, D. & D'Esposito, M. Dissociating age-related changes in cognitive strategy and neural efficiency using event-related fMRI. Cortex 41, 582–594 (2005).
    Article PubMed Google Scholar
  103. Koten, J. W. et al. Genetic contribution to variation in cognitive function: an fMRI study in twins. Science 323, 1737–1740 (2009). An empirical demonstration of heritable individual differences in fMRI activation patterns underlying distinct cognitive strategies to solve a working memory task in remembering exposure to digits.
    Article CAS PubMed Google Scholar
  104. Manolio, T. A. et al. Finding the missing heritability of complex diseases. Nature 461, 747–753 (2009).
    Article CAS PubMed PubMed Central Google Scholar
  105. Boring, E. G. Intelligence as the tests test it. New Republic 35, 35–37 (1923).
    Google Scholar
  106. Gottfredson, L. S. Mainstream science on intelligence: an editorial with 52 signatories, history, and bibliography. Intelligence 24, 13–23 (1997).
    Article Google Scholar
  107. Johnson, W. & Bouchard, T. J. The structure of human intelligence: it is verbal, perceptual, and image rotation (VPR) not fluid and crystallized. Intelligence 33, 393–416 (2005).
    Article Google Scholar
  108. Visser, B. A., Ashton, M. C. & Vernon, P. A. Beyond g: putting multiple intelligence theory to the test. Intelligence 34, 487–502 (2006).
    Article Google Scholar
  109. Horn, J. L. in Intelligence: Measurement, Theory, and Public Policy (ed. Linn, R. L.) 29–73 (Univ. Illinois Press, Urbana, 1989).
    Google Scholar
  110. Johnson, W., te Nijenhuis, J. & Bouchard, T. J. Still just one g: consistent results from five test batteries. Intelligence 32, 81–95 (2008). An empirical demonstration that g is not dependent on specific cognitive test batteries as long as there is sufficient variety in the tests.
    Article Google Scholar
  111. Gould, S. J. The Mismeasure of Man (Penguin, Harmondsworth, 1981).
    Google Scholar
  112. Bartholomew, D. J., Deary, I. J. & Lawn, M. A new lease of life for Thomson's bonds model of intelligence. Psychol. Rev. 116, 567–579 (2009).
    Article PubMed Google Scholar
  113. van der Maas, H. L. J. et al. A dynamical model of general intelligence: the positive manifold of intelligence by mutualism. Psychol. Rev. 113, 842–861 (2006).
    Article PubMed Google Scholar
  114. Bouchard, T. J. Genetic influence on human intelligence (Spearman's g): how much? Ann. Hum. Biol. 36, 527–544 (2009).
    Article PubMed Google Scholar
  115. Bouchard, T. J. & McGue, M. Familial studies of intelligence: a review. Science 212, 1055–1059 (1981).
    Article PubMed Google Scholar
  116. Turkheimer, E., Haley, A., Waldron, M., D'Onofrio, B. M. & Gottesman, I. I. Socioeconomic status modifies heritability of IQ in young children. Psychol. Sci. 14, 623–628 (2003).
    Article PubMed Google Scholar
  117. van den Oord, E. J. & Rowe, D. C. An examination of genotype-environment interactions for academic achievement in a US national longitudinal survey. Intelligence 25, 205–228 (1998).
    Article Google Scholar
  118. Deary, I. J. et al. Intergenerational social mobility and mid-life status attainment: influences of childhood intelligence, childhood social factors, and education. Intelligence 33, 455–472 (2005).
    Article Google Scholar
  119. Johnson, W. Genetic and environmental influences on behavior: capturing all the interplay. Psychol. Rev. 114, 423–440 (2007).
    Article PubMed Google Scholar
  120. Salthouse, T. A. Localizing age-related individual differences in a hierarchical structure. Intelligence 32, 541–561 (2004).
    Article Google Scholar
  121. Petrill, A. A. et al. The genetic and environmental relationship between general and specific cognitive abilities in twins age 80 and older. Psychol. Sci. 9, 183–189 (1998).
    Article Google Scholar

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