Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.

Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.

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<h4>Objective</h4>The purpose of this study is to explore the possibility of developing a biomarker that can discriminate early-stage Parkinson's disease from healthy brain function using electroencephalography (EEG) event-related potentials (ERPs) in combination with Brain Network...

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Bibliographic Details
Main Authors: Sharon Hassin-Baer, Oren S Cohen, Simon Israeli-Korn, Gilad Yahalom, Sandra Benizri, Daniel Sand, Gil Issachar, Amir B Geva, Revital Shani-Hershkovich, Ziv Peremen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0261947

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https://doi.org/10.1371/journal.pone.0261947

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