A cornerstone in PD research is the investigation of neurophysiological changes as potential biomarkers that could help in tracking disease progression and response to therapies. Electroencephalography (EEG) could provide a non-invasive and relatively cheap tool for identification of such biomarkers. In this study we will use high-density electroencephalograph (EEG) recording, in order to develop a platform of biomarkers that could be more sensitive and reliable to disease progression and response to therapeutic intervention than standard clinical measures.
Study Type
OBSERVATIONAL
Enrollment
100
Functional networks of brain activity in Idiopathic PD patients and healthy individuals measured using analysis of EEG Event Related Potential
The study outcome measure are functional networks of brain activity of PD patients and healthy individuals established based on an analysis of EEG data recorded while study subjects perform ERP tasks
Time frame: 2 WEEKS
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