Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson's Disease.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
PMID: 33743299

Abstract

OBJECTIVE: A downside of Deep Brain Stimulation (DBS) for Parkinson's Disease (PD) is that cognitive function may deteriorate postoperatively. Electroencephalography (EEG) was explored as biomarker of cognition using a Machine Learning (ML) pipeline.

Authors

  • V J Geraedts
    Leiden University Medical Centre, Department of Neurology, the Netherlands; Leiden University Medical Centre, Department of Epidemiology, the Netherlands. Electronic address: v.j.geraedts@lumc.nl.
  • M Koch
    Leiden Institute of Advanced Computer Science, the Netherlands.
  • M F Contarino
    Leiden University Medical Centre, Department of Neurology, the Netherlands; Haga Teaching Hospital, Department of Neurology, the Netherlands.
  • H A M Middelkoop
    Leiden University Medical Centre, Department of Neurology, the Netherlands.
  • H Wang
    Department of Mechanical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA.
  • J J van Hilten
    Leiden University Medical Centre, Department of Neurology, the Netherlands.
  • T H W Bäck
    Leiden Institute of Advanced Computer Science, the Netherlands.
  • M R Tannemaat
    Leiden University Medical Centre, Department of Neurology, the Netherlands.

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