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Can I read Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease on EtoBox?
Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease by V.J. Geraedts; M. Koch; M.F. Contarino; H.A.M. Middelkoop; H. Wang; J.J. van Hilten; T.H.W. Bäck; M.R. Tannemaat is a Neuroscience article available to read on EtoBox.
What is Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease about?
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. Methods A fully automated ML pipeline was applied to 112 PD patients, taking EEG time-series as input and predicted class-labels as output. The most extreme cognitive scores were selected for class differentiation, i.e. best vs. worst cognitive performance (n = 20 per group). 16,674 features were extracted per patient; feature-selection was performed using a Boruta algorithm. A random forest classifier was modelled; 10-fold cross-validation with Bayesian optimization was performed to ensure generalizability. The predicted class-probabilities of the entire cohort were compared to actual cognitive performance. Results Both groups were differentiated with a mean accuracy of 0.92; using only occipital peak frequency yielded an accuracy of 0.67. Class-probabilities and actual cognitive performance were negatively linearly correlated (β = −0.23 (95% confidence interval (−0.29, −0.18))). Conclusions Particularly high accuracies were achieved u
Who reads Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- V.J. Geraedts; M. Koch; M.F. Contarino; H.A.M. Middelkoop; H. Wang; J.J. van Hilten; T.H.W. Bäck; M.R. Tannemaat
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Neuroscience (Life Sciences)