Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography.

Journal: Neuropsychobiology
PMID: 36657428

Abstract

INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia diseases to appropriately deal with the dementia problems under world-wide rapid increasing of patients with dementia. In this sense, electroencephalography (EEG) has been utilized as a promising examination to screen and assist in diagnosing dementia, with advantages of sensitiveness to neural functions, inexpensiveness, and high availability. Moreover, the algorithm-based deep learning can expand EEG applicability, yielding accurate and automatic classification easily applied even in general hospitals without any research specialist.

Authors

  • Masahiro Hata
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Yusuke Watanabe
    From the Departments of Diagnostic and Interventional Radiology (D.U., A.Y., S.L.W., H. Tatekawa, H. Takita, T.H., A.S., Y.M.), Neurosurgery (T. Ichinose, H.A., Y.W., T.G.), and Medical Statistics (D.K.), Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; and Department of Radiology, Osaka City University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan (Y.K., T. Ichida).
  • Takumi Tanaka
    Institute for Advanced Co-creation studies, Osaka University, Osaka, Japan.
  • Kimihisa Awata
    Institute for Advanced Co-creation studies, Osaka University, Osaka, Japan.
  • Yuki Miyazaki
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Ryohei Fukuma
    Department of Neurosurgery, Osaka University Graduate School of Medicine.
  • Daiki Taomoto
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Yuto Satake
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Takashi Suehiro
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Hideki Kanemoto
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Kenji Yoshiyama
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Masao Iwase
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Shunichiro Ikeda
    Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
  • Keiichiro Nishida
    Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
  • Yoshiteru Takekita
    Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
  • Masafumi Yoshimura
    Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
  • Ryouhei Ishii
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Hiroaki Kazui
    Department of Neuropsychiatry, Kochi Medical School, Kochi University, Kochi, Japan.
  • Tatsuya Harada
    Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan. harada@mi.t.u-tokyo.ac.jp.
  • Haruhiko Kishima
    Department of Neurosurgery, Osaka University Graduate School of Medicine.
  • Manabu Ikeda
    Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Takufumi Yanagisawa
    Department of Neurosurgery, Osaka University Graduate School of Medicine.

Keywords

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