IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v11y2008i5p539-551.html
   My bibliography  Save this article

Normal basilar artery structure and biaxial mechanical behaviour

Author

Listed:
  • B.K. Wicker
  • H.P. Hutchens
  • Q. Wu
  • A.T. Yeh
  • J.D. Humphrey

Abstract

Much is known about cerebral vasospasm, a devastating sequela to ruptured intracranial aneurysms, yet underlying mechanisms remain unclear and clinical treatments have proven unsatisfactory. We have hypothesised that biochemical stimuli associated with the formation of extravascular blood clots dominate early maladaptive responses, leading to marked structural and functional changes in affected cerebral arteries. Before a precise picture of vasospasm can be obtained, however, we must understand better the structure and mechanical behaviour of normal cerebral arteries. Basilar arteries from rabbits were tested mechanically under biaxial loading conditions with and without active tone, segments were imaged using intravital nonlinear optical microscopy to quantify transmural orientations of fibrillar collagen, and passive mechanical data were fit with a four-fiber family stress–stretch relation. This constitutive model predicted well the overall mechanical behaviour and mean collagen fiber distributions, and thereby has promise to contribute to analyses of the biochemomechanics of cerebral vasospasm and similar cerebral pathologies. It is now time, therefore, to focus on mechanisms of vasospasm via mathematical models that incorporate growth and remodelling in terms of changes in the cross-linking and distributions of adventitial and medial collagen, primary contributors to the structural integrity of the arterial wall.

Suggested Citation

  • B.K. Wicker & H.P. Hutchens & Q. Wu & A.T. Yeh & J.D. Humphrey, 2008. "Normal basilar artery structure and biaxial mechanical behaviour," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(5), pages 539-551.
  • Handle: RePEc:taf:gcmbxx:v:11:y:2008:i:5:p:539-551
    DOI: 10.1080/10255840801949793
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840801949793
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255840801949793?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. Alireza Karimi & Seyed Mohammadali Rahmati & Reza Razaghi, 2017. "A combination of experimental measurement, constitutive damage model, and diffusion tensor imaging to characterize the mechanical properties of the human brain," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(12), pages 1350-1363, September.
    2. Colleen M. Witzenburg & Victor H. Barocas, 2016. "A nonlinear anisotropic inverse method for computational dissection of inhomogeneous planar tissues," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(15), pages 1630-1646, November.
    3. Dimitrios P. Sokolis, 2014. "Identification and characterisation of regional variations in the material properties of ureter according to microstructure," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(15), pages 1653-1670, November.

    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:taf:gcmbxx:v:11:y:2008:i:5:p:539-551. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    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.