Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology.

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

Abstract

INTRODUCTION: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack of standardized evaluation guidelines hinder the consistent evaluation of automatic machine learning localization models.

Authors

  • Valentina Hrtonova
    First Department of Neurology, Faculty of Medicine, Masaryk University, Pekarska 53, 602 00 Brno, Czech Republic; Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic; Department of Neurology, Duke University School of Medicine, 2424 Erwin Rd, Durham, NC 27705, the United States of America.
  • Petr Nejedly
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Vojtech Travnicek
    Institute of Scientific Instruments of the CAS, v. v. i., Královopolská 147, 612 00 Brno, Czech Republic; International Clinical Research Center, St. Anne's University Hospital, Pekařská 53, 602 00 Brno, Czech Republic.
  • Jan Cimbalnik
  • Barbora Matouskova
    First Department of Neurology, Faculty of Medicine, Masaryk University, Pekarska 53, 602 00 Brno, Czech Republic; Institute of Scientific Instruments of the CAS, v. v. i., Kralovopolska 147, 612 00 Brno, Czech Republic; Department of Neurology, Duke University School of Medicine, 2424 Erwin Rd, Durham, NC 27705, the United States of America.
  • Martin Pail
    Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic.
  • Laure Peter-Derex
    Center for Sleep Medicine and Respiratory Diseases, Lyon University Hospital, Lyon 1 University, 103 Grande Rue de la Croix-Rousse, 69004 Lyon, France; Lyon Neuroscience Research Center, CH Le Vinatier - Bâtiment 462 - Neurocampus, 95 Bd Pinel, 69500 Lyon, France.
  • Christophe Grova
    Multimodal Functional Imaging Lab, Department of Physics and Concordia School of Health, Concordia University and Biomedical Engineering Department, McGill University, Montreal Neurological Hospital, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6.
  • Jean Gotman
    Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada.
  • Josef Halamek
  • Pavel Jurak
  • Milan Brazdil
    Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic.
  • Petr Klimes
  • Birgit Frauscher
    Montreal Neurological Hospital, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Quebec, Canada; Department of Neurology, Duke University Medical School and Department of Biomedical Engineering, Pratt School of Engineering, 2424 Erwin Road, Durham, NC, 27705, USA. Electronic address: birgit.frauscher@duke.edu.