Activation patterns of interictal epileptiform discharges in relation to sleep and seizures: An artificial intelligence driven data analysis.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
PMID: 34030056

Abstract

OBJECTIVE: To quantify effects of sleep and seizures on the rate of interictal epileptiform discharges (IED) and to classify patients with epilepsy based on IED activation patterns.

Authors

  • Franz Fürbass
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Johannes Koren
    Department of Neurology, Clinic Hietzing, Vienna, Austria; Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, Vienna, Austria.
  • Manfred Hartmann
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Georg Brandmayr
    Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria; Institute of Artificial Intelligence & Decision Support, Medical University Vienna, Vienna, Austria.
  • Sebastian Hafner
    Department of Neurology, Clinic Hietzing, Vienna, Austria.
  • Christoph Baumgartner
    Department of Neurology, Clinic Hietzing, Vienna, Austria; Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, Vienna, Austria; Medical Faculty, Sigmund Freud University, Vienna, Austria.

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