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Intellectual ability and cortical development in children and adolescents

Author

Listed:
  • P. Shaw

    (National Institute of Mental Health)

  • D. Greenstein

    (National Institute of Mental Health)

  • J. Lerch

    (McGill University)

  • L. Clasen

    (National Institute of Mental Health)

  • R. Lenroot

    (National Institute of Mental Health)

  • N. Gogtay

    (National Institute of Mental Health)

  • A. Evans

    (McGill University)

  • J. Rapoport

    (National Institute of Mental Health)

  • J. Giedd

    (National Institute of Mental Health)

Abstract

Bright prospects Here's a subject guaranteed to cause controversy: the relationship between intelligence, measured by IQ tests, and physical brain development in children and adolescents. A study that followed 307 typically developing subjects from childhood to adolescence (roughly between the ages of 6 and 19 years) now suggests that ‘brainy’ children are not cleverer by virtue of having more or less grey matter at any one age. Rather, intelligence is related to various aspects of the continuing process of cortical maturation. Specifically, the trajectory of change in the thickness of the cerebral cortex, not cortical thickness itself, relates to intelligence. More intelligent children demonstrate a particularly plastic cortex, with an initial accelerated and prolonged phase of cortical increase, which yields to equally vigorous cortical thinning by early adolescence.

Suggested Citation

  • P. Shaw & D. Greenstein & J. Lerch & L. Clasen & R. Lenroot & N. Gogtay & A. Evans & J. Rapoport & J. Giedd, 2006. "Intellectual ability and cortical development in children and adolescents," Nature, Nature, vol. 440(7084), pages 676-679, March.
    • Handle: RePEc:nat:nature:v:440:y:2006:i:7084:d:10.1038_nature04513
    DOI: 10.1038/nature04513
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    Cited by:

    1. Román, Francisco J. & Morillo, Daniel & Estrada, Eduardo & Escorial, Sergio & Karama, Sherif & Colom, Roberto, 2018. "Brain-intelligence relationships across childhood and adolescence: A latent-variable approach," Intelligence, Elsevier, vol. 68(C), pages 21-29.
    2. de Souza, Erick Almeida & Silva, Stéphanie Andrade & Vieira, Bruno Hebling & Salmon, Carlos Ernesto Garrido, 2023. "fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance," Intelligence, Elsevier, vol. 97(C).
    3. Sobia Jamil & Syed Imran Zaman & Yasanur Kayikci & Sharfuddin Ahmed Khan, 2023. "The Role of Green Recruitment on Organizational Sustainability Performance: A Study within the Context of Green Human Resource Management," Sustainability, MDPI, vol. 15(21), pages 1-31, November.
    4. Runye Shi & Shitong Xiang & Tianye Jia & Trevor W. Robbins & Jujiao Kang & Tobias Banaschewski & Gareth J. Barker & Arun L. W. Bokde & Sylvane Desrivières & Herta Flor & Antoine Grigis & Hugh Garavan , 2024. "Investigating grey matter volumetric trajectories through the lifespan at the individual level," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. T. Tony Cai & Weidong Liu, 2016. "Large-Scale Multiple Testing of Correlations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 229-240, March.
    6. van der Linden, Dimitri & Dunkel, Curtis S. & Madison, Guy, 2017. "Sex differences in brain size and general intelligence (g)," Intelligence, Elsevier, vol. 63(C), pages 78-88.
    7. Cui, Can & Wu, Teresa & Hu, Mengqi & Weir, Jeffery D. & Li, Xiwang, 2016. "Short-term building energy model recommendation system: A meta-learning approach," Applied Energy, Elsevier, vol. 172(C), pages 251-263.
    8. Xinyuan Liang & Lianglong Sun & Xuhong Liao & Tianyuan Lei & Mingrui Xia & Dingna Duan & Zilong Zeng & Qiongling Li & Zhilei Xu & Weiwei Men & Yanpei Wang & Shuping Tan & Jia-Hong Gao & Shaozheng Qin , 2024. "Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    9. Drakulich, Stefan & Sitartchouk, Arseni & Olafson, Emily & Sarhani, Reda & Thiffault, Anne-Charlotte & Chakravarty, Mallar & Evans, Alan C. & Karama, Sherif, 2022. "General cognitive ability and pericortical contrast," Intelligence, Elsevier, vol. 91(C).
    10. Kocevar, Gabriel & Suprano, Ilaria & Stamile, Claudio & Hannoun, Salem & Fourneret, Pierre & Revol, Olivier & Nusbaum, Fanny & Sappey-Marinier, Dominique, 2019. "Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis," Intelligence, Elsevier, vol. 72(C), pages 67-75.
    11. Cai, T. Tony & Zhang, Anru, 2016. "Inference for high-dimensional differential correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 107-126.
    12. Girault, Jessica B. & Langworthy, Benjamin W. & Goldman, Barbara D. & Stephens, Rebecca L. & Cornea, Emil & Steven Reznick, J. & Fine, Jason & Gilmore, John H., 2018. "The predictive value of developmental assessments at 1 and 2 for intelligence quotients at 6," Intelligence, Elsevier, vol. 68(C), pages 58-65.
    13. Yufik, Yan M., 2013. "Understanding, consciousness and thermodynamics of cognition," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 44-59.
    14. Thomas A. Arcury & Haiying Chen & Sara A. Quandt & Jennifer W. Talton & Kim A. Anderson & Richard P. Scott & Phillip Summers & Paul J. Laurienti, 2023. "Pesticide Exposure among Latinx Children in Rural Farmworker and Urban Non-Farmworker Communities: Associations with Locality and Season," IJERPH, MDPI, vol. 20(9), pages 1-23, April.

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