Localizing seizure onset zones in surgical epilepsy with neurostimulation deep learning.

Journal: Journal of neurosurgery
PMID: 36152321

Abstract

OBJECTIVE: In drug-resistant temporal lobe epilepsy, automated tools for seizure onset zone (SOZ) localization that use brief interictal recordings could supplement presurgical evaluations and improve care. Thus, the authors sought to localize SOZs by training a multichannel convolutional neural network on stereoelectroencephalography (SEEG) cortico-cortical evoked potentials.

Authors

  • Graham W Johnson
    1Departments of Biomedical Engineering.
  • Leon Y Cai
    1Departments of Biomedical Engineering.
  • Derek J Doss
    1Departments of Biomedical Engineering.
  • Jasmine W Jiang
    7Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville.
  • Aarushi S Negi
    9Departments of Neurological Surgery.
  • Saramati Narasimhan
    1Departments of Biomedical Engineering.
  • Danika L Paulo
    9Departments of Neurological Surgery.
  • Hernán F J González
    1Departments of Biomedical Engineering.
  • Shawniqua Williams Roberson
    1Departments of Biomedical Engineering.
  • Sarah K Bick
    9Departments of Neurological Surgery.
  • Catie E Chang
    2Electrical and Computer Engineering.
  • 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.
  • Mark T Wallace
    Vanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, 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.

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