The neuroscience of human intelligence differences (original) (raw)
References
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). ArticlePubMed Google Scholar
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. Psychiatry3, 455–506 (1993). Article Google Scholar
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. Intelligence28, 49–55 (2000). Article Google Scholar
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
Deary, I. J., Strand, S., Smith, P. & Fernandes, C. Intelligence and educational achievement. Intelligence35, 13–21 (2007). Article Google Scholar
Strenze, T. Intelligence and socioeconomic success: a meta-analytic review of longitudinal research. Intelligence35, 401–426 (2007). Article Google Scholar
Gottfredson, L. Why g matters: the complexity of everyday life. Intelligence24, 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
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). ArticlePubMed Google Scholar
Batty, G. D. et al. IQ in late adolescence/early adulthood and mortality by middle age: cohort study of one million Swedish men. Epidemiology20, 100–109 (2009). ArticlePubMed Google Scholar
Spearman, C. General intelligence, objectively determined and measured. Am. J. Psychol.15, 201–293 (1904). Article Google Scholar
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 thegfactor at the top. Book Google Scholar
Deary, I. J. Looking Down on Human Intelligence: From Psychometrics to the Brain. (Oxford Univ. Press, Oxford, 2000). Book Google Scholar
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. ArticlePubMed Google Scholar
McDaniel, M. A. Big-brained people are smarter: a meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence33, 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
Galton, F. Heredity, talent, and character. Macmillan's Magazine12, 157–166; 318–327 (1865). Google Scholar
Plomin, R., DeFries, J. C., McClearn, G. E. & McGuffin, P. Behavioral Genetics 5th edn (Worth, New York, 2007). Google Scholar
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. Intelligence35, 542–562 (2007). Article Google Scholar
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). ArticleCASPubMed Google Scholar
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). ArticlePubMed Google Scholar
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). ArticlePubMed Google Scholar
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). ArticleCASPubMed Google Scholar
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). ArticleCASPubMed Google Scholar
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
Wilson, R. S. Synchronies in mental development: an epigenetic perspective. Science202, 939–948 (1978). ArticleCASPubMed Google Scholar
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. Intelligence31, 195–210 (2003). Article Google Scholar
Edmonds, C. J. et al. Inspection time and cognitive abilities in twins aged 7 to 17 years: age-related changes, heritability, and genetic covariance. Intelligence36, 210–225 (2008). Article Google Scholar
Jacobs, N., van Os, J., Derom, C. & Thiery, E. Heritability of intelligence. Twin Res. Hum. Genet.10, 11–14 (2007). Article Google Scholar
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). ArticleCASPubMed Google Scholar
Pennington, B. F. et al. A twin study of size variations in the human brain. J. Cogn. Neurosci.12, 223–232 (2000). ArticleCASPubMed Google Scholar
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). ArticlePubMedPubMed Central Google Scholar
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. ArticleCASPubMed Google Scholar
Thompson, P. M. et al. Genetic influences on brain structure. Nature Neurosci.4, 1253–1258 (2001). ArticleCASPubMed Google Scholar
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). ArticleCASPubMedPubMed Central Google Scholar
Friedman, N. P. et al. Individual differences in executive function are almost entirely genetic in origin. J. Exp. Psychol. Gen.137, 201–225 (2008). ArticlePubMedPubMed Central Google Scholar
Miller, G. F. & Penke, L. The evolution of human intelligence and the coefficient of additive genetic variance in human brain size. Intelligence35, 97–114 (2007). Article Google Scholar
Shaw, P. et al. Intellectual ability and cortical development in children and adolescents. Nature440, 676–679 (2006). A groundbreaking study showing that developmental plasticity in cortical thickness showed a stronger association with intelligence than cortical thicknessper se. ArticleCASPubMed Google Scholar
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). ArticleCASPubMed Google Scholar
Giedd, J. N., Schmitt, J. E. & Neale, M. C. Structural brain magnetic imaging of pediatric twins. Hum. Brain Mapp.28, 474–481 (2007). ArticlePubMedPubMed Central Google Scholar
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). ArticlePubMed Google Scholar
Chelly, J., Khelfaoui, M., Francis, F., Cherif, B. & Bienvenu, T. Genetics and pathophysiology of mental retardation. Eur. J. Hum. Genet.14, 701–713 (2006). ArticleCASPubMed Google Scholar
Payton, A. The impact of genetic research on our understanding of normal cognitive ageing: 1995 to 2009. Neuropsychol. Rev.19, 451–477 (2009). ArticlePubMed Google Scholar
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). ArticleCASPubMed Google Scholar
Bu, G. Apolipoprotein E and its receptors in Alzheimer's disease: pathways, pathogenesis and therapy. Nature Rev. Neurosci.10, 333–344 (2009). ArticleCAS Google Scholar
Barnett, J. H., Scoriels, L. & Munafo, M. R. Meta-analysis of the cognitive effects of the catechol-_O_-transferase gene Val158/108Met polymorphism. Biol. Psychiatry64, 137–144 (2008). ArticleCASPubMed Google Scholar
Goldman, D., Weinberger, D. R., Malhotra, A. K. & Goldberg, T. E. The role of COMT Val158Met in cognition. Biol. Psychiatry65, e1–2 (2009). ArticlePubMed Google Scholar
Miyajima, F. et al. Brain-derived neurotrophic factor polymorphism Val66Met influences cognitive abilities in the elderly. Genes Brain Behav.7, 411–417 (2007). ArticlePubMedCAS Google Scholar
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). ArticleCASPubMedPubMed Central Google Scholar
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
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
Galton, F. Head growth in students at the University of Cambridge. Nature38, 14–15 (1888). Article Google Scholar
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
Rushton, J. P. & Ankney, C. D. Whole brain size and general mental ability: a review. Int. J. Neurosci.119, 691–731 (2009). ArticlePubMed Google Scholar
MacLullich, A. M. et al. Intracranial capacity and brain volumes are associated with cognition in healthy elderly men. Neurology59, 169–174 (2002). ArticleCASPubMed Google Scholar
Witelson, S. F., Beresh, H. & Kigar, D. L. Intelligence and brain size in 100 post-mortem brains: sex, lateralization and age factors. Brain129, 386–398 (2006). ArticleCASPubMed Google Scholar
Andreasen, N. C. et al. Intelligence and brain structure in normal individuals. Am. J. Psychiatry150, 130–134 (1993). ArticleCASPubMed Google Scholar
Flashman, L. A., Andreasen, N. C., Flaum, M. & Swayze, V. W. Intelligence and regional brain volumes in normal controls. Intelligence25, 149–160 (1997). Article Google Scholar
Narr, K. L. et al. Relationships between IQ and regional cortical gray matter thickness in healthy adults. Cereb. Cortex17, 2163–2171 (2007). ArticlePubMed Google Scholar
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. ArticlePubMed Google Scholar
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). ArticlePubMed Google Scholar
Colom, R. et al. Gray matter correlates of fluid, crystallized, and spatial intelligence: testing the P-FIT model. Intelligence37, 124–135 (2009). Article Google Scholar
Haier, R. J. et al. Gray matter and intelligence factors: is there a neuro-g? Intelligence37, 136–144 (2009). Article Google Scholar
Karama, S. et al. Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds. Intelligence37, 145–155 (2009). Article Google Scholar
Choi, Y. Y. et al. Multiple bases of human intelligence revealed by cortical thickness and neural activation. J. Neurosci.28, 10323–10329 (2008). ArticleCASPubMedPubMed Central Google Scholar
Luders, E., Narr, K. L., Thompson, P. M. & Toga, A. W. Neuroanatomical correlates of intelligence. Intelligence37, 156–163 (2009). ArticlePubMedPubMed Central Google Scholar
Nachev, P., Mah, Y. H. & Husain, M. Functional neuroanatomy: the locus of human intelligence. Curr. Biol.19, R418–R420 (2009). ArticleCASPubMed Google Scholar
Luo, L. & O'Leary, D. D. M. Axon retraction and degeneration in development and disease. Annu. Rev. Neurosci.28, 127–156 (2005). ArticleCASPubMed Google Scholar
Gläscher, J. et al. Lesion mapping of cognitive abilities linked to intelligence. Neuron61, 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. ArticlePubMedPubMed CentralCAS Google Scholar
Sporns, O., Chialvo, D., Kaiser, M. & Hilgetag, C. C. Organization, development and function of complex brain networks. Trends Cogn. Sci.8, 418–425 (2004). ArticlePubMed Google Scholar
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). ArticleCASPubMedPubMed Central Google Scholar
Bullmore, E. & Sporns, O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Rev. Neurosci.10, 186–198 (2009). ArticleCAS Google Scholar
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
Turken, A. et al. Cognitive processing speed and the structure of white matter pathways: convergent evidence from normal variation and lesion studies. Neuroimage42, 1032–1044 (2008). ArticlePubMed Google Scholar
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. Aging18, 140–148 (2003). ArticlePubMed Google Scholar
Deary, I. J. et al. White matter integrity and cognition in childhood and old age. Neurology66, 505–512 (2006). ArticleCASPubMed Google Scholar
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). ArticlePubMedPubMed Central Google Scholar
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). ArticleCASPubMed Google Scholar
Yu, C. et al. White matter tract integrity and intelligence in patients with mental retardation and healthy adults. Neuroimage40, 1533–1541 (2008). ArticlePubMed Google Scholar
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. ArticlePubMed Google Scholar
Haier, R. J. et al. Cortical glucose metabolic-rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence12, 199–217 (1988). Article Google Scholar
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). ArticleCASPubMedPubMed Central Google Scholar
Song, M. et al. Brain spontaneous functional connectivity and intelligence. Neuroimage41, 1168–1176 (2008). ArticlePubMed Google Scholar
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K. & Alkire, M. T. The neuroanatomy of general intelligence: sex matters. Neuroimage25, 320–327 (2005). ArticlePubMed Google Scholar
Schmithorst, V. J. Developmental sex differences in the relation of neuroanatomical connectivity to intelligence. Intelligence37, 164–173 (2009). ArticlePubMedPubMed Central Google Scholar
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). ArticlePubMed Google Scholar
Johnson, W. & Bouchard, T. J. Sex differences in mental abilities: g masks the dimensions on which they lie. Intelligence35, 23–39 (2007). Article Google Scholar
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. Neuroimage36, 691–699 (2007). ArticlePubMed Google Scholar
de Courten-Myers, G. M. The human cerebral cortex: gender differences in structure and function. J. Neuropathol. Exp. Neurol.58, 217–226 (1999). ArticleCASPubMed Google Scholar
Luders, E. et al. Gender differences in cortical complexity. Nature Neurosci.7, 799–800 (2004). ArticleCASPubMed Google Scholar
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? Intelligence37, 42–47 (2009). Article Google Scholar
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).
Johnson, W. & Bouchard, T. J. Sex differences in mental ability: a proposed means to link them to brain structure and function. Intelligence35, 197–209 (2007). Article Google Scholar
Johnson, W., Jung, R. E., Colom, R. & Haier, R. J. Cognitive abilities independent of IQ correlate with regional brain structure. Intelligence36, 18–28 (2008). Article Google Scholar
Park, D. C. & Reuter-Lorenz, P. The adaptive brain: aging and neurocognitive scaffolding. Annu. Rev. Psychol.60, 173–196 (2009). ArticlePubMedPubMed Central Google Scholar
Cabeza, R. Hemispheric asymmetry reduction in older adults: the HAROLD model. Psychol. Aging17, 85–100 (2002). ArticlePubMed Google Scholar
Lohman, D. in Handbook of Intelligence (ed. Sternberg, R. J.) 285–340 (Cambridge Univ. Press, New York, 2000). Book Google Scholar
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). ArticleCASPubMedPubMed Central Google Scholar
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. Cortex41, 582–594 (2005). ArticlePubMed Google Scholar
Koten, J. W. et al. Genetic contribution to variation in cognitive function: an fMRI study in twins. Science323, 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. ArticleCASPubMed Google Scholar
Boring, E. G. Intelligence as the tests test it. New Republic35, 35–37 (1923). Google Scholar
Gottfredson, L. S. Mainstream science on intelligence: an editorial with 52 signatories, history, and bibliography. Intelligence24, 13–23 (1997). Article Google Scholar
Johnson, W. & Bouchard, T. J. The structure of human intelligence: it is verbal, perceptual, and image rotation (VPR) not fluid and crystallized. Intelligence33, 393–416 (2005). Article Google Scholar
Visser, B. A., Ashton, M. C. & Vernon, P. A. Beyond g: putting multiple intelligence theory to the test. Intelligence34, 487–502 (2006). Article Google Scholar
Horn, J. L. in Intelligence: Measurement, Theory, and Public Policy (ed. Linn, R. L.) 29–73 (Univ. Illinois Press, Urbana, 1989). Google Scholar
Johnson, W., te Nijenhuis, J. & Bouchard, T. J. Still just one g: consistent results from five test batteries. Intelligence32, 81–95 (2008). An empirical demonstration thatgis not dependent on specific cognitive test batteries as long as there is sufficient variety in the tests. Article Google Scholar
Gould, S. J. The Mismeasure of Man (Penguin, Harmondsworth, 1981). Google Scholar
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). ArticlePubMed Google Scholar
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). ArticlePubMed Google Scholar
Bouchard, T. J. Genetic influence on human intelligence (Spearman's g): how much? Ann. Hum. Biol.36, 527–544 (2009). ArticlePubMed Google Scholar
Bouchard, T. J. & McGue, M. Familial studies of intelligence: a review. Science212, 1055–1059 (1981). ArticlePubMed Google Scholar
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). ArticlePubMed Google Scholar
van den Oord, E. J. & Rowe, D. C. An examination of genotype-environment interactions for academic achievement in a US national longitudinal survey. Intelligence25, 205–228 (1998). Article Google Scholar
Deary, I. J. et al. Intergenerational social mobility and mid-life status attainment: influences of childhood intelligence, childhood social factors, and education. Intelligence33, 455–472 (2005). Article Google Scholar
Johnson, W. Genetic and environmental influences on behavior: capturing all the interplay. Psychol. Rev.114, 423–440 (2007). ArticlePubMed Google Scholar
Salthouse, T. A. Localizing age-related individual differences in a hierarchical structure. Intelligence32, 541–561 (2004). Article Google Scholar
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