Deep learning on brief interictal intracranial recordings can accurately characterize seizure onset zones.

Journal: Epilepsia
Published Date:

Abstract

OBJECTIVE: Epilepsy is a debilitating disorder affecting more than 50 million people worldwide, and one third of patients continue to have seizures despite maximal medical management. If patients' seizures localize to a discrete brain region, termed a seizure onset zone, resection may be curative. Localization is often confirmed with stereotactic electroencephalography; however, this may require patients to stay in the hospital for weeks to capture spontaneous seizures. Automated localization of seizure onset zones could therefore improve presurgical evaluation and decrease morbidity.

Authors

  • Sameer Sundrani
    Modeling and Simulation/Clinical Pharmacology, Genentech, South San Francisco, CA.
  • Graham W Johnson
    1Departments of Biomedical Engineering.
  • Derek J Doss
    1Departments of Biomedical Engineering.
  • Ghassan S Makhoul
    Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
  • Bruno Hidalgo Monroy Lerma
    Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
  • Anas Reda
    Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
  • Addison C Cavender
    Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Emily Liao
    Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Baxter P Rogers
    Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Shawniqua Williams Roberson
    1Departments of Biomedical Engineering.
  • Sarah K Bick
    9Departments of Neurological Surgery.
  • Victoria L Morgan
    Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
  • Dario J Englot
    Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.

Keywords

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