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Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron

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  • Bruton, Oliver J.

Abstract

The construct of general intelligence (g) is one of psychology’s most replicated and predictively useful constructs. Although research indicates that g is a highly heritable trait, deeply rooted in brain physiology, to date neither a strong biological correlate nor a comprehensive explanatory model involving neuronal mechanisms have been established. In this article I aim to do so by hypothesising that the von Economo neuron (VEN), a unique nerve cell thus far implicated in social cognition and interoception, may in fact represent a central biological constituent of g. After presenting supportive evidence from neuroscience, psychiatry/neurology, clinical gerontology, and comparative psychology, an integrated reductionist framework is outlined, which reaches from the level of cognitive theory to the level of single neurons. Based thereon, it is concluded that the VENs might contribute to individual differences in g by rapidly inducing the coherence of neuronal oscillations within a functionally invariant parieto-frontal network underlying higher-order cognition, thereby facilitating mental efficiency.

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  • Bruton, Oliver J., 2021. "Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron," Intelligence, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:intell:v:86:y:2021:i:c:s0160289621000246
    DOI: 10.1016/j.intell.2021.101540
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    as
    1. Karpinski, Ruth I. & Kinase Kolb, Audrey M. & Tetreault, Nicole A. & Borowski, Thomas B., 2018. "High intelligence: A risk factor for psychological and physiological overexcitabilities," Intelligence, Elsevier, vol. 66(C), pages 8-23.
    2. Gągol, A. & Magnuski, M. & Kroczek, B. & Kałamała, P. & Ociepka, M. & Santarnecchi, E. & Chuderski, A., 2018. "Delta-gamma coupling as a potential neurophysiological mechanism of fluid intelligence," Intelligence, Elsevier, vol. 66(C), pages 54-63.
    3. Cox, S.R. & Ritchie, S.J. & Fawns-Ritchie, C. & Tucker-Drob, E.M. & Deary, I.J., 2019. "Structural brain imaging correlates of general intelligence in UK Biobank," Intelligence, Elsevier, vol. 76(C), pages 1-1.
    4. Min Wang & Nao J. Gamo & Yang Yang & Lu E. Jin & Xiao-Jing Wang & Mark Laubach & James A. Mazer & Daeyeol Lee & Amy F. T. Arnsten, 2011. "Neuronal basis of age-related working memory decline," Nature, Nature, vol. 476(7359), pages 210-213, August.
    5. Gignac, Gilles E. & Bates, Timothy C., 2017. "Brain volume and intelligence: The moderating role of intelligence measurement quality," Intelligence, Elsevier, vol. 64(C), pages 18-29.
    6. David C. Van Essen, 1997. "A tension-based theory of morphogenesis and compact wiring in the central nervous system," Nature, Nature, vol. 385(6614), pages 313-318, January.
    7. Michael C Gao & Ursula Bellugi & Li Dai & Debra L Mills & Eric M Sobel & Kenneth Lange & Julie R Korenberg, 2010. "Intelligence in Williams Syndrome Is Related to STX1A, Which Encodes a Component of the Presynaptic SNARE Complex," PLOS ONE, Public Library of Science, vol. 5(4), pages 1-8, April.
    8. Cox, S.R. & Ritchie, S.J. & Fawns-Ritchie, C. & Tucker-Drob, E.M. & Deary, I.J., 2019. "Structural brain imaging correlates of general intelligence in UK Biobank," Intelligence, Elsevier, vol. 76(C).
    9. Caemmerer, Jacqueline M. & Keith, Timothy Z. & Reynolds, Matthew R., 2020. "Beyond individual intelligence tests: Application of Cattell-Horn-Carroll Theory," Intelligence, Elsevier, vol. 79(C).
    10. Santarnecchi, Emiliano & Emmendorfer, Alexandra & Pascual-Leone, Alvaro, 2017. "Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study," Intelligence, Elsevier, vol. 63(C), pages 9-28.
    11. Paul T E Cusack, 2020. "The Human Brain," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24261-24266, October.
    12. Shi Gu & Fabio Pasqualetti & Matthew Cieslak & Qawi K. Telesford & Alfred B. Yu & Ari E. Kahn & John D. Medaglia & Jean M. Vettel & Michael B. Miller & Scott T. Grafton & Danielle S. Bassett, 2015. "Controllability of structural brain networks," Nature Communications, Nature, vol. 6(1), pages 1-10, December.
    13. Pahor, Anja & Jaušovec, Norbert, 2017. "Multifaceted pattern of neural efficiency in working memory capacity," Intelligence, Elsevier, vol. 65(C), pages 23-34.
    14. Harrington, Karra D. & Dang, Christa & Lim, Yen Ying & Ames, David & Laws, Simon M. & Pietrzak, Robert H. & Rainey-Smith, Stephanie & Robertson, Joanne & Rowe, Christopher C. & Salvado, Olivier & Vill, 2018. "The effect of preclinical Alzheimer's disease on age-related changes in intelligence in cognitively normal older adults," Intelligence, Elsevier, vol. 70(C), pages 22-29.
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