IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v385y1997i6614d10.1038_385313a0.html
   My bibliography  Save this article

A tension-based theory of morphogenesis and compact wiring in the central nervous system

Author

Listed:
  • David C. Van Essen

    (Washington University School of Medicine)

Abstract

Many structural features of the mammalian central nervous system can be explained by a morphogenetic mechanism that involves mechanical tension along axons, dendrites and glial processes. In the cerebral cortex, for example, tension along axons in the white matter can explain how and why the cortex folds in a characteristic species-specific pattern. In the cerebellum, tension along parallel fibres can explain why the cortex is highly elongated but folded like an accordion. By keeping the aggregate length of axonal and dendritic wiring low, tension should contribute to the compactness of neural circuitry throughout the adult brain.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:nature:v:385:y:1997:i:6614:d:10.1038_385313a0
    DOI: 10.1038/385313a0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/385313a0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/385313a0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amanda Worker & Camilla Blain & Jozef Jarosz & K Ray Chaudhuri & Gareth J Barker & Steven C R Williams & Richard Brown & P Nigel Leigh & Andrew Simmons, 2014. "Cortical Thickness, Surface Area and Volume Measures in Parkinson's Disease, Multiple System Atrophy and Progressive Supranuclear Palsy," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-15, December.
    2. Cecilia L Friedrichs-Maeder & Alessandra Griffa & Juliane Schneider & Petra Susan Hüppi & Anita Truttmann & Patric Hagmann, 2017. "Exploring the role of white matter connectivity in cortex maturation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    3. 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).
    4. Michael B Kranz & Michelle W Voss & Gillian E Cooke & Sarah E Banducci & Agnieszka Z Burzynska & Arthur F Kramer, 2018. "The cortical structure of functional networks associated with age-related cognitive abilities in older adults," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-26, September.
    5. Claus C Hilgetag & Helen Barbas, 2006. "Role of Mechanical Factors in the Morphology of the Primate Cerebral Cortex," PLOS Computational Biology, Public Library of Science, vol. 2(3), pages 1-14, March.
    6. Julien Lefèvre & Jean-François Mangin, 2010. "A Reaction-Diffusion Model of Human Brain Development," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-10, April.
    7. Kara E. Garcia & Xiaojie Wang & Christopher D. Kroenke, 2021. "A model of tension-induced fiber growth predicts white matter organization during brain folding," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    8. Ashish Raj & Yu-hsien Chen, 2011. "The Wiring Economy Principle: Connectivity Determines Anatomy in the Human Brain," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-11, September.
    9. Deborah A Striegel & Monica K Hurdal, 2009. "Chemically Based Mathematical Model for Development of Cerebral Cortical Folding Patterns," PLOS Computational Biology, Public Library of Science, vol. 5(9), pages 1-6, September.
    10. Benjamin B. Sun & Stephanie J. Loomis & Fabrizio Pizzagalli & Natalia Shatokhina & Jodie N. Painter & Christopher N. Foley & Megan E. Jensen & Donald G. McLaren & Sai Spandana Chintapalli & Alyssa H. , 2022. "Genetic map of regional sulcal morphology in the human brain from UK biobank data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    11. David Samu & Anil K Seth & Thomas Nowotny, 2014. "Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-24, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:385:y:1997:i:6614:d:10.1038_385313a0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.