• DocumentCode
    3862009
  • Title

    Synchronization and information flow in EEGs of epileptic patients

  • Author

    M. Paulus;V. Komarek;T. Prochazka;Z. Hrncir;K. Sterbova

  • Volume
    20
  • Issue
    5
  • fYear
    2001
  • Firstpage
    65
  • Lastpage
    71
  • Abstract
    An information-theoretic approach suitable for studying synchronization phenomena in experimental time series has been applied in analysis of EEG recordings of epileptic patients. Transient phenomena leading to seizures have been characterized by increased synchronization (local and between areas) and asymmetry in information flow (the area of the epileptogenic focus drives and synchronizes adjacent areas). Although the results should be regarded as preliminary, they suggest that the method has a promising potential for localization of epileptic foci and anticipation of approaching seizures.
  • Keywords
    "Electroencephalography","Epilepsy","Entropy","Brain","Chaos","Random variables","Mutual information","Stochastic processes","Neurons","Neurophysiology"
  • Journal_Title
    IEEE Engineering in Medicine and Biology Magazine
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.956821
  • Filename
    956821