Synchronism and nonliner dynamics in seizure prediction

Information

  • Research Project
  • 7448058
  • ApplicationId
    7448058
  • Core Project Number
    R01NS046602
  • Full Project Number
    3R01NS046602-03S1
  • Serial Number
    46602
  • FOA Number
    PA-02-11
  • Sub Project Id
  • Project Start Date
    8/1/2004 - 20 years ago
  • Project End Date
    6/30/2008 - 16 years ago
  • Program Officer Name
    STEWART, RANDALL R
  • Budget Start Date
    7/1/2007 - 17 years ago
  • Budget End Date
    6/30/2008 - 16 years ago
  • Fiscal Year
    2007
  • Support Year
    3
  • Suffix
    S1
  • Award Notice Date
    6/16/2007 - 17 years ago

Synchronism and nonliner dynamics in seizure prediction

Seizure prediction and blockage of seizures is a top research priority in epilepsy, a disease affecting about 1% of the US population. Due to the extreme complexity of brain dynamics, its analysis requires sophisticated methodologies and algorithms from applied mathematics, physics, and engineering. Much emphasis has been placed on techniques from nonlinear dynamics, including application of synchronization and dynamical invariants techniques. In this proposal, we will perform a systematic assessment of these techniques for the task of seizure detection and prediction on long time series. First, we look for optimal synchronization measures, examining phase synchronization, generalized synchronization, and unstable periodic orbit analysis, and assessing each for its sensitivity and specificity for prediction or detection of epileptic seizures. We will test these strategies as well Lyapunov exponents on multi-day, continuous ECoG recordings from several patients, with each recording containing several seizures.

IC Name
NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
  • Activity
    R01
  • Administering IC
    NS
  • Application Type
    3
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    45900
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    853
  • Ed Inst. Type
  • Funding ICs
    NINDS:45900\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    FLINT HILLS SCIENTIFIC, LLC
  • Organization Department
  • Organization DUNS
  • Organization City
    LAWRENCE
  • Organization State
    KS
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    66049
  • Organization District
    UNITED STATES