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Intelligence, hormones, sex, brain size, and biochemistry: It all needs to have equal causal standing before integration is possible

Published online by Cambridge University Press:  26 July 2007

Helmuth Nyborg
Helmuth Nyborg
Affiliation:
Department of Psychology, University of Aarhus, DK-8362 Horning, Denmark. helmuthnyborg@msn.comwww.helmuthnyborg.dk
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Abstract

Recent brain imaging points to differences in brain structure that relate to intelligence, but how do we model their causal relationship within a coherent framework that circumvents classic dualist traps? A bottom-level nonlinear, dynamic, multifactor, multiplicative, multidimensional, molecular (ND4M) trait-covariance time-space model may accomplish this better than traditional approaches.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 30 , Issue 2 , April 2007 , pp. 164 - 165
Copyright
Copyright © Cambridge University Press 2007

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References

Allen, J. S, Damasio, H., Grabowski, T. J., Bruss, J. & Zhang, W. (2003) Sexual dimorphism and asymmetries in the gray-white composition of the human cerebrum. NeuroImage 18:880–94.CrossRefGoogle ScholarPubMed
Gur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P. & Gur, R. E. (1999) Sex differences in brain grey and white matter in healthy young adults: Correlations with cognitive performance. Journal of Neuroscience 19(10):4065–72.Google Scholar
Haier, R. J., Chueh, D., Touchette, P., Lott, I., Buchsbaum, M. S., Macmillan, D., Sandman, C., Lacasse, L. & Sosa, E. (1995) Brain size and cerebral glucose metabolic rate in nonspecific mental retardation and Down syndrome. Intelligence 20(2):191–210.Google Scholar
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K. & Alkire, M. T. (2004) Structural brain variation and general intelligence. NeuroImage 23(1):425–33.Google Scholar
Jackson, D. N. & Rushton, J. P. (2006) Males have greater g: Sex differences in general mental ability from 100,000 17- to 18-year-olds on the Scholastic Assessment Test. Intelligence 34:479–86.Google Scholar
Jensen, A. R. (1998) The g factor: The science of mental ability. Praeger.Google Scholar
Kimura, D. & Hampson, E. (1994) Cognitive pattern in men and women is influenced by fluctuations in sex hormones. Current Directions in Psychological Science 3:57–61.CrossRefGoogle Scholar
Lynn, R. (1999) Sex difference in intelligence and brain size: A developmental theory. Intelligence 27:1–12.Google Scholar
Nyborg, H. (1983) Spatial ability in men and women: Review and new theory. Advances in Human Research and Therapy 5:39–140.Google Scholar
Nyborg, H. (1994) Hormones, sex, and society: The science of physicology. Praeger.Google Scholar
Nyborg, H. (1997) Molecular man in a molecular world: Applied physicology. Psyche and Logos 18:457–74.Google Scholar
Nyborg, H. (2003) Sex differences in g. In: The scientific study of general intelligence: Tribute to Arthur R. Jensen, ed. Nyborg, H., pp. 187–222. Pergamon Press.Google Scholar
Nyborg, H. (2005) Sex-related differences in general intelligence g, brain size, and social status. Personality and Individual Differences 39(3):497–509.Google Scholar
Pennington, B. F., Filipek, P. A., Lefly, D., Chhabildas, N., Kennedy, D. N., Simon, J. H., Filley, C. M., Galaburda, A. & DeFries, J. C. (2000) A twin MRI study of size variations in human brain. Journal of Cognitive Neuroscience 12(1):223–32.Google Scholar
Spearman, C. (1904) General intelligence, objectively determined and measured. American Journal of Psychology 15:201–93.Google Scholar
Toga, A. W. & Thompson, P. M. (2005) Genetics of brain structure and intelligence. Annual Review of Neuroscience 28:1–23.Google Scholar