Mapping and mining interictal pathological gamma (30-100Hz) oscillations with clinical intracranial EEG in patients with epilepsy

  • Authors:

  • Otis Smart;Douglas Maus;Eric Marsh;Dennis Dlugos;Brian Litt;Kimford Meador

  • Affiliations:

  • Intelligent Control Systems Laboratory, Georgia Institute of Technology, Atlanta, GA 30332, USA and Department of Neurosurgery, Emory University, Atlanta, GA 30322, USA;Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA;Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA;Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA;Departments of Neurology and Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA;Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

Localizing an epileptic network is essential for guiding neurosurgery and antiepileptic medical devices as well as elucidating mechanisms that may explain seizure-generation and epilepsy. There is increasing evidence that pathological oscillations may be specific to diseased networks in patients with epilepsy and that these oscillations may be a key biomarker for generating and indentifying epileptic networks. We present a semi-automated method that detects, maps, and mines pathological gamma (30-100Hz) oscillations (PGOs) in human epileptic brain to possibly localize epileptic networks. We apply the method to standard clinical iEEG (