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  • Print publication year: 2018
  • Online publication date: January 2018

Chapter 11 - A View from the Brain

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The Nature of Human Intelligence
  • Online ISBN: 9781316817049
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Barbey, A. K., Colom, R., Paul, E. J., & Grafman, J. (2014). Architecture of fluid intelligence and working memory revealed by lesion mapping. Brain Struct Funct, 219(2), 485494.
Barbey, A. K., Colom, R., Solomon, J., Krueger, F., Forbes, C., & Grafman, J. (2012). An integrative architecture for general intelligence and executive function revealed by lesion mapping. Brain, 135(Pt 4), 11541164. doi:10.1093/brain/aws021
Basten, U., Hilger, K., & Fiebach, C. J. (2015). Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence. Intelligence, 51(0), 1027. doi:
Benyamin, B., Pourcain, B., Davis, O. S., Davies, G., Hansell, N. K., Brion, M. J., ... Visscher, P. M. (2014). Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry, 19(2), 253258. doi:10.1038/mp.2012.184
Bouchard, T. J. (1999). IQ and human intelligence. Science, 284(5416), 922923.
Bouchard, T. J. (2009). Genetic influence on human intelligence (Spearman’s g): How much? Annals of Human Biology, 36(5), 527544.
Bouchard, T. J., McGue, M., Hur, Y. M., & Horn, J. M. (1998). A genetic and environmental analysis of the California psychological inventory using adult twins reared apart and together. European Journal of Personality, 12(5), 307320.
Cahill, L., Haier, R. J., Fallon, J., Alkire, M. T., Tang, C., Keator, D., ... McGaugh, J. L. (1996). Amygdala activity at encoding correlated with long-term, free recall of emotional information. Proc Natl Acad Sci U S A, 93(15), 80168021.
Cahill, L., Haier, R. J., White, N. S., Fallon, J., Kilpatrick, L., Lawrence, C., ... Alkire, M. T. (2001). Sex-related difference in amygdala activity during emotionally influenced memory storage. Neurobiol Learn Mem, 75(1), 19.
Chiang, M. C., Barysheva, M., McMahon, K. L., de Zubicaray, G. I., Johnson, K., Montgomery, G. W., ... Thompson, P. M. (2012). Gene network effects on brain microstructure and intellectual performance identified in 472 twins. J Neurosci, 32(25), 87328745. doi:10.1523/JNEUROSCI.5993-11.2012
Chiang, M. C., Barysheva, M., Shattuck, D. W., Lee, A. D., Madsen, S. K., Avedissian, C., ... Thompson, P. M. (2009). Genetics of brain fiber architecture and intellectual performance. Journal of Neuroscience, 29(7), 22122224. doi:Doi 10.1523/Jneurosci.4184-08.2009
Colom, R., Jung, R. E., & Haier, R. J. (2006a). Distributed brain sites for the g-factor of intelligence. Neuroimage, 31(3), 13591365.
Colom, R., Jung, R. E., & Haier, R. J. (2006b). Finding the g-factor in brain structure using the method of correlated vectors. Intelligence, 34(6), 561570.
Davies, G., Armstrong, N., Bis, J. C., Bressler, J., Chouraki, V., Giddaluru, S., ... Deary, I. J. (2015). Genetic contributions to variation in general cognitive function: A meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry, 20(2), 183192. doi:10.1038/mp.2014.188
Deary, I. J., Penke, L., & Johnson, W. (2010). The neuroscience of human intelligence differences. Nature Reviews Neuroscience, 11(3), 201211. doi:Doi 10.1038/Nrn2793
Desrivieres, S., Lourdusamy, A., Tao, C., Toro, R., Jia, T., Loth, E., ... Consortium, I. (2015). Single nucleotide polymorphism in the neuroplastin locus associates with cortical thickness and intellectual ability in adolescents. Mol Psychiatry, 20(2), 263274. doi:10.1038/mp.2013.197
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., ... Constable, R. T. (2015). Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity. Nat Neurosci, 18(11), 16641671. doi:10.1038/nn.4135
Gardner, H. (1987). The theory of multiple intelligences. Annals of Dyslexia, 37, 1935.
Glascher, J., Rudrauf, D., Colom, R., Paul, L. K., Tranel, D., Damasio, H., & Adolphs, R. (2010). Distributed neural system for general intelligence revealed by lesion mapping. Proceedings of the National Academy of Sciences of the United States of America, 107(10), 47054709. doi:D10.1073/Pnas.0910397107
Gottfredson, L. S. (1997). Why g matters: The complexity of everyday life. Intelligence, 24(1), 79132.
Haier, R. J. (2009). Neuro-intelligence, neuro-metrics and the next phase of brain imaging studies. Intelligence, 37(2), 121123.
Haier, R. J. (2014). Increased intelligence is a myth (so far). Front Syst Neurosci, 8, 34. doi:10.3389/fnsys.2014.00034
Haier, R. J. (2017). The neuroscience of intelligence. Cambridge: Cambridge University Press.
Haier, R. J., & Benbow, C. P. (1995). Sex differences and lateralization in temporal lobe glucose metabolism during mathematical reasoning. Developmental Neuropsychology, 11(4), 405414.
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2004). Structural brain variation and general intelligence. Neuroimage, 23(1), 425433.
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2005). The neuroanatomy of general intelligence: sex matters. Neuroimage, 25(1), 320327.
Haier, R. J., Robinson, D. L., Braden, W., & Williams, D. (1983). Electrical potentials of the cerebral cortex and psychometric intelligence. Personality & Individual Differences, 4(6), 591599.
Haier, R. J., Rosenthal, D., & Wender, P. H. (1978). MMPI assessment of psychopathology in the adopted-away offspring of schizophrenics. Arch Gen Psychiatry, 35(2), 171175.
Haier, R. J., Siegel, B., Tang, C., Abel, L., & Buchsbaum, M. S. (1992). Intelligence and changes in regional cerebral glucose metabolic-rate following learning. Intelligence, 16(3–4), 415426.
Haier, R. J., Siegel, B. V., Jr., MacLachlan, A., Soderling, E., Lottenberg, S., & Buchsbaum, M. S. (1992). Regional glucose metabolic changes after learning a complex visuospatial/motor task: A positron emission tomographic study. Brain Res, 570(1–2), 134143.
Haier, R. J., Siegel, B. V., Nuechterlein, K. H., Hazlett, E., Wu, J. C., Paek, J., ... Buchsbaum, M. S. (1988). Cortical glucose metabolic-rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence, 12(2), 199217.
Haier, R. J., White, N. S., & Alkire, M. T. (2003). Individual differences in general intelligence correlate with brain function during nonreasoning tasks. Intelligence, 31(5), 429441.
Hunt, E. B. (2011). Human intelligence. Cambridge; New York: Cambridge University Press.
Jensen, A. R. (1969). How much can we boost IQ and scholastic achievement. Harvard Educational Review, 39(1), 1123.
Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.
Jung, R. E., & Haier, R. J. (2007). The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30(02), 135154.
Mansour, C. S., Haier, R. J., & Buchsbaum, M. S. (1996). Gender comparisons of cerebral glucose metabolic rate in healthy adults during a cognitive task. Personality & Individual Differences, 20(2), 183191.
Naghavi, H. R., & Nyberg, L. (2005). Common fronto-parietal activity in attention, memory, and consciousness: Shared demands on integration? Consciousness and Cognition, 14(2), 390425.
Neubauer, A. C., & Fink, A. (2003). Fluid intelligence and neural efficiency: effects of task complexity and sex. Personality and Individual Differences, 35(4), 811827.
Neubauer, A. C., & Fink, A. (2009a). Intelligence and neural efficiency. Neuroscience and Biobehavioral Reviews, 33(7), 10041023.
Neubauer, A. C., & Fink, A. (2009b). Intelligence and neural efficiency: Measures of brain activation versus measures of functional connectivity in the brain. Intelligence, 37(2), 223229.
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., ... Benjamin, D. J. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533(7604), 539542. doi:10.1038/nature17671
Penke, L., Maniega, S. M., Bastin, M. E., Hernandez, M. C. V., Murray, C., Royle, N. A., ... Deary, I. J. (2012). Brain white matter tract integrity as a neural foundation for general intelligence. Molecular Psychiatry, 17(10), 10261030. doi:Doi 10.1038/Mp.2012.66
Plomin, R., & Deary, I. J. (2015). Genetics and intelligence differences: Five special findings. Mol Psychiatry, 20(1), 98108. doi:10.1038/mp.2014.105
Plomin, R., Haworth, C. M. A., Meaburn, E. L., Price, T. S., Davis, O. S. P., & Control, W. T. C. (2013). Common DNA markers can account for more than half of the genetic influence on cognitive abilities. Psychological Science, 24(4), 562568.
Posthuma, D., Baare, W. F. C., Pol, H. E. H., Kahn, R. S., Boomsma, D. I., & De Geus, E. J. C. (2003). Genetic correlations between brain volumes and the WAIS-III dimensions of verbal comprehension, working memory, perceptual organization, and processing speed. Twin Research, 6(2), 131139.
Posthuma, D., De Geus, E. J., Baare, W. F., Hulshoff Pol, H. E., Kahn, R. S., & Boomsma, D. I. (2002). The association between brain volume and intelligence is of genetic origin. Nat Neurosci, 5(2), 8384.
Posthuma, D., De Geus, E., & Boomsma, D. (2003). Genetic contributions to anatomical, behavioral, and neurophysiological indices of cognition. In Plomin, R., DeFries, J., Craig, I. W., & McGuffin, P. (Eds.), Behavioral genetics in the postgenomic era (pp. 141161). Washington, DC: American Psychological Association.
Rietveld, C. A., Esko, T., Davies, G., Pers, T. H., Turley, P., Benyamin, B., ... Koellinger, P. D. (2014). Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A, 111(38), 1379013794. doi:10.1073/pnas.1404623111
Robinson, D. L., Haier, R. J., Braden, W., & Krengel, M. (1984). Psychometric intelligence and visual evoked potentials: A replication. Personality & Individual Differences, 5(4), 487489.
Santarnecchi, E., Galli, G., Polizzotto, N. R., Rossi, A., & Rossi, S. (2014). Efficiency of weak brain connections support general cognitive functioning. Hum Brain Mapp, 35(9), 45664582. doi:10.1002/hbm.22495
Shehzad, Z., Kelly, C., Reiss, P. T., Cameron Craddock, R., Emerson, J. W., McMahon, K., ... Milham, M. P. (2014). A multivariate distance-based analytic framework for connectome-wide association studies. Neuroimage, 93 Pt 1, 7494. doi:10.1016/j.neuroimage.2014.02.024
Song, M., Liu, Y., Zhou, Y., Wang, K., Yu, C., & Jiang, T. (2009). Default network and intelligence difference. Conf Proc IEEE Eng Med Biol Soc, 2009, 22122215. doi:10.1109/IEMBS.2009.5334874
Spearman, C. (1904). General intelligence objectively determined and measured. American Journal of Psychology, 15, 201293.
Sternberg, R. J. (1999). Successful intelligence: Finding a balance. Trends Cogn Sci, 3(11), 436442.
Sternberg, R. J. (2000). Practical intelligence in everyday life. Cambridge; New York: Cambridge University Press.
Vakhtin, A. A., Ryman, S. G., Flores, R. A., & Jung, R. E. (2014). Functional brain networks contributing to the Parieto-Frontal Integration Theory of Intelligence. Neuroimage, 103, 349354. doi:10.1016/j.neuroimage.2014.09.055
Van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Pol, H. E. H. (2009). Efficiency of functional brain networks and intellectual performance. Journal of Neuroscience, 29(23), 76197624. doi:10.1523/Jneurosci.1443-09.2009