Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.

Journal: PloS one
Published Date: Jan 7, 2022

Abstract

OBJECTIVE: The purpose of this study is to explore the possibility of developing a biomarker that can discriminate early-stage Parkinson's disease from healthy brain function using electroencephalography (EEG) event-related potentials (ERPs) in combination with Brain Network Analytics (BNA) technology and machine learning (ML) algorithms.

Authors

  • Sharon Hassin-Baer
    Movement Disorders Institute and Department of Neurology, Chaim Sheba Medical Center, Tel Hashomer, Ramat-Gan, Israel.
  • Oren S Cohen
    Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Simon Israeli-Korn
    Movement Disorders Institute and Department of Neurology, Chaim Sheba Medical Center, Tel Hashomer, Ramat-Gan, Israel.
  • Gilad Yahalom
    Department of Neurology and Movement Disorders Clinic, Shaare Zedek Medical Center, Jerusalem, Israel.
  • Sandra Benizri
    Movement Disorders Unit, Functional Neurosurgery Center, Assuta Ramat Ha Hayal Hospital, Tel Aviv, Israel.
  • Daniel Sand
    elminda Ltd., Herzliya, Israel.
  • Gil Issachar
    Biomedical Engineering Department, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
  • Amir B Geva
    ElmindA Ltd.Herzliya, Israel; Electrical and Computer Engineering, Ben-Gurion University of the NegevBeersheba, Israel.
  • Revital Shani-Hershkovich
    The Institute for Sleep Medecine, Ichilov, Tel-Aviv, Israel.
  • Ziv Peremen
    elminda Ltd., Herzliya, Israel.

Keywords

External Resources

Popular Topics
Recent Journals