Identification of focal epilepsy by diffusion tensor imaging using machine learning.

Journal: Acta neurologica Scandinavica
Published Date: Jun 1, 2021

Abstract

OBJECTIVE: The aim of this study was to evaluate the feasibility of machine learning based on diffusion tensor imaging (DTI) measures to distinguish patients with focal epilepsy versus healthy controls and antiseizure medication (ASM) responsiveness.

Authors

  • Dong Ah Lee
    Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.
  • Ho-Joon Lee
    Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Byung Joon Kim
    Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.
  • Bong Soo Park
    Department of Oral Anatomy, School of Dentistry, Pusan National University, Yangsan, Korea.
  • Sung Eun Kim
    Department of Pediatrics, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Kang Min Park
    Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea. Electronic address: smilepkm@hanmail.net.

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