IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4939-0808-0_25.html
   My bibliography  Save this book chapter

Brain Network Characteristics in Status Epilepticus

In: Optimization in Science and Engineering

Author

Listed:
  • Ioannis Vlachos

    (Louisiana Tech University, Center Biomedical Engineering and Rehabilitation Science)

  • Aaron Faith

    (Arizona State University, The Harrington Department of Bioengineering)

  • Steven Marsh

    (Barrow Neurological Institute, Laboratory for Translational Epilepsy Research)

  • Jamie White-James

    (Barrow Neurological Institute, Laboratory for Translational Epilepsy Research)

  • Kostantinos Tsakalis

    (Arizona State University, Department of Electrical Engineering)

  • David M. Treiman

    (Barrow Neurological Institute, Laboratory for Translational Epilepsy Research)

  • Leon D. Iasemidis

    (Louisiana Tech University, Center Biomedical Engineering and Rehabilitation Science)

Abstract

Status Epilepticus (SE) is the condition in which the epileptic brain is in a state of persistent seizure activity. SE is a major health concern with an estimated 42,000 deaths every year in the USA alone. We developed a novel methodology, based on information flow and graph theory, and applied to intracranial electroencephalographic (EEG) recordings from rats induced to SE in the Lithium-Pilocarpine animal model of epilepsy. We defined two measures of the transition of the brain network into and out of SE: the network density (ND) and the network node in–out degree correlation (NIODc). The measures correspond to familiar ones from graph theory with estimates of connectivity based on the Generalized Partial Directed Coherence (GPDC). We consistently observed an increase in the connectivity between brain sites and imbalance in the information flow from and to brain sites at the start of SE, with a progressive trend towards restoration of their baseline values by the end of SE and thereafter. These findings could contribute to the development of novel tools for monitoring and more efficient treatment of status epilepticus.

Suggested Citation

  • Ioannis Vlachos & Aaron Faith & Steven Marsh & Jamie White-James & Kostantinos Tsakalis & David M. Treiman & Leon D. Iasemidis, 2014. "Brain Network Characteristics in Status Epilepticus," Springer Books, in: Themistocles M. Rassias & Christodoulos A. Floudas & Sergiy Butenko (ed.), Optimization in Science and Engineering, edition 127, pages 543-552, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-0808-0_25
    DOI: 10.1007/978-1-4939-0808-0_25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-1-4939-0808-0_25. 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.springer.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.