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Preoperative Electroencephalography-Based Machine Learning Predicts Cognitive Deterioration After Subthalamic Deep

Victor J Geraedts1,2, Milan Koch3, Roy Kuiper1,4

  • 1Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.

Movement Disorders : Official Journal of the Movement Disorder Society
|June 3, 2021
PubMed
Summary

Quantitative electroencephalography (EEG) can predict cognitive decline in Parkinson's disease (PD) patients undergoing subthalamic deep brain stimulation (STN DBS). This machine learning model identifies neurophysiological biomarkers for improved patient screening and outcomes.

Keywords:
Parkinson's diseasecognitiondeep brain stimulationmachine learningpredictionquantitative EEGsubthalamic nucleus

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Informatics

Background:

  • Subthalamic deep brain stimulation (STN DBS) is a treatment for Parkinson's disease (PD) motor complications.
  • Predicting postoperative cognitive deterioration is challenging due to alpha-synucleinopathy.
  • Quantitative electroencephalography (qEEG) may offer biomarkers for cognitive decline in PD.

Purpose of the Study:

  • Develop an automated machine learning model using preoperative EEG data.
  • Predict cognitive deterioration one year after STN DBS in Parkinson's disease patients.

Main Methods:

  • Included 60 DBS candidates, with 42 having usable preoperative EEGs.
  • Extracted 16,674 EEG features, using Boruta algorithm for feature selection.
  • Employed a random forest classifier with cross-validation and Bayesian optimization.

Main Results:

  • The model achieved 88% accuracy in differentiating cognitive decline.
  • Positive and negative predictive values were 91.4% and 85.0%, respectively.
  • High probability of cognitive stability indicated a very limited risk of decline.

Conclusions:

  • Preoperative EEGs accurately predict cognitive deterioration post-STN DBS.
  • Cortical neurophysiological alterations serve as biomarkers for cognitive decline risk.
  • EEG biomarkers can enhance screening for STN DBS candidates.