IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v19y2016i15p1618-1629.html
   My bibliography  Save this article

Biofidelic white matter heterogeneity decreases computational model predictions of white matter strains during rapid head rotations

Author

Listed:
  • Matthew R. Maltese
  • Susan S. Margulies

Abstract

The finite element (FE) brain model is used increasingly as a design tool for developing technology to mitigate traumatic brain injury. We developed an ultra high-definition FE brain model (>4 million elements) from CT and MRI scans of a 2-month-old pre-adolescent piglet brain, and simulated rapid head rotations. Strain distributions in the thalamus, coronal radiata, corpus callosum, cerebral cortex gray matter, brainstem and cerebellum were evaluated to determine the influence of employing homogeneous brain moduli, or distinct experimentally derived gray and white matter property representations, where some white matter regions are stiffer and others less stiff than gray matter. We find that constitutive heterogeneity significantly lowers white matter deformations in all regions compared with homogeneous properties, and should be incorporated in FE model injury prediction.

Suggested Citation

  • Matthew R. Maltese & Susan S. Margulies, 2016. "Biofidelic white matter heterogeneity decreases computational model predictions of white matter strains during rapid head rotations," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(15), pages 1618-1629, November.
    • Handle: RePEc:taf:gcmbxx:v:19:y:2016:i:15:p:1618-1629
    DOI: 10.1080/10255842.2016.1176153
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2016.1176153
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2016.1176153?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.

    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:19:y:2016:i:15:p:1618-1629. 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.