Support vector machines predict postoperative memory outcomes in temporal lobe epilepsies.

Journal: Epilepsia open
Published Date:

Abstract

OBJECTIVE: We aimed to predict the side of epilepsy as well as the pre- and postoperative verbal and nonverbal memory performance in a cohort of left and right temporal lobe epilepsy (TLE) patients based on hippocampal activations during three different memory fMRI tasks (verbal, nonverbal and combined verbal and nonverbal) using support vector machines (SVM).

Authors

  • Silke Ethofer
    Neurosurgical Clinic, Department of Neurosurgery and Neurotechnology, Eberhard Karls University, Tuebingen, Germany.
  • Michael Erb
    Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany.
  • Monika Milian
    Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany.
  • Sabine Rona
    Neurosurgical Clinic, Department of Neurosurgery and Neurotechnology, Eberhard Karls University, Tuebingen, Germany.
  • Holger Lerche
    Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.
  • Jürgen Honegger
    Neurosurgical Clinic, Department of Neurosurgery and Neurotechnology, Eberhard Karls University, Tuebingen, Germany.
  • Thomas Ethofer
    Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany.

Keywords

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