IDEAS home Printed from https://ideas.repec.org/a/bpj/mcmeap/v9y2003i4p367-385n5.html
   My bibliography  Save this article

Significant FMRI Neurologic Synchrony Using Monte Carlo Methods

Author

Listed:
  • Rowe Daniel B.

    (Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI 53226 dbrowe@mcw.edu)

Abstract

It is well known that regions of the brain exhibit functional synchrony. A well established method is the average cross correlation termed the COSLOF index which has proved useful as a noninvasive quantitative marker of hippocampal synchrony for the preclinical stage of Alzheimer's disease. This paper presents the COMDET, an alternative index of functional synchrony, and compares it to the COSLOF with their statistical underpinnings. Logarithmic functions of these two statistics are presented with their asymptotic chi squared distributions. These two statistics are empirically compared under five correlation structures. It is found that the COMDET performs better than the COSLOF except under very specific cases. Critical values of the COMDET and COSLOF as well as their logarithmic functions are presented which are determined via Monte Carlo simulation.

Suggested Citation

  • Rowe Daniel B., 2003. "Significant FMRI Neurologic Synchrony Using Monte Carlo Methods," Monte Carlo Methods and Applications, De Gruyter, vol. 9(4), pages 367-385, December.
    • Handle: RePEc:bpj:mcmeap:v:9:y:2003:i:4:p:367-385:n:5
    DOI: 10.1515/156939603322601978
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/156939603322601978
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/156939603322601978?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:bpj:mcmeap:v:9:y:2003:i:4:p:367-385:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.