Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.

Journal: Annals of neurology
Published Date:

Abstract

OBJECTIVE: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.

Authors

  • Patrick Myers
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Kristin M Gunnarsdottir
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Adam Li
    Department of Neurosurgery, University of Rochester Medical Center, Rochester, NY, USA.
  • Vlad Razskazovskiy
    Neurosurgery and Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • Jeff Craley
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
  • Alana Chandler
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Dale Wyeth
    Division of Epilepsy, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
  • Edmund Wyeth
    Division of Epilepsy, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
  • Kareem A Zaghloul
    Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
  • Sara K Inati
    Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
  • Jennifer L Hopp
    Department of Neurology, University of Maryland Medical Center, Baltimore, MD, USA.
  • Babitha Haridas
    Department of Neurology, Comprehensive Epilepsy Center, Johns Hopkins University, Baltimore, MD, USA.
  • Jorge González-Martínez
    Department of Neurosurgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Anto Bagić
    Department of Neurology, University of Pittsburgh Comprehensive Epilepsy Center (UPCEC), University of Pittsburgh Medical School, Pittsburgh, USA.
  • Joon-Yi Kang
    Department of Neurology, Comprehensive Epilepsy Center, Johns Hopkins University, Baltimore, MD, USA.
  • Michael R Sperling
    Department of Neurology, Thomas Jefferson University Hospital.
  • Niravkumar Barot
    Neurology Division, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Sridevi V Sarma
    Biomedical Engineering, Institute for Computational Medicine, Neuromedical Control Systems Group, The Johns Hopkins University, Rm. 315 Hackerman Hall, 3400 N. Charles St., Baltimore, MD, 21218, USA. sridevi.sarma@gmail.com.
  • Khalil S Husari
    Department of Neurology, Johns Hopkins University, Baltimore, MD, USA. Electronic address: khusari1@jhmi.edu.