A pilot study of machine learning of resting-state EEG and depression in Parkinson’s disease

Introduction: Depression is a non-motor symptom of Parkinson’s disease (PD). PD-related depression is difficult to diagnose, and the neurophysiological basis is poorly understood. Depression can markedly affect cortical function, which suggests that scalp electroencephalography (EEG) may be able to...

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Bibliographic Details
Main Authors:	Arturo I. Espinoza, Patrick May, Md Fahim Anjum, Arun Singh, Rachel C. Cole, Nicholas Trapp, Soura Dasgupta, Nandakumar S. Narayanan
Format:	Article
Language:	English
Published:	Elsevier 2022-01-01
Series:	Clinical Parkinsonism & Related Disorders
Subjects:	Parkinson’s disease Depression Scalp electroencephalography (EEG) Machine learning algorithm Classification
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590112522000378

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http://www.sciencedirect.com/science/article/pii/S2590112522000378

A pilot study of machine learning of resting-state EEG and depression in Parkinson’s disease

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