Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.
<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...
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 |
Similar Items
-
Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, brain network analytics and machine-learning
by: Sharon Hassin-Baer, et al.
Published: (2022-01-01) -
Automated Stage Discrimination of Parkinson’s Disease
by: Vered Aharonson, et al.
Published: (2020-09-01) -
Subthalamic nucleus deep brain stimulation does not improve visuo-motor impairment in Parkinson's disease.
by: Simon D Israeli-Korn, et al.
Published: (2013-01-01) -
Management of advanced Parkinson’s disease in Israel: Clinicians viewpoint and action items
by: Tanya Gurevich, et al.
Published: (2022-10-01) -
Deep Brain Stimulation Can Differentiate Subregions of the Human Subthalamic Nucleus Area by EEG Biomarkers
by: Daniel Sand, et al.
Published: (2021-10-01)