Objective: To know whether EEG could be a neural indicator that distinguish between Drug-induced parkinsonism (DIP) and Parkinson’s disease (PD).

Background: DIP is the second most common cause of parkinsonism following PD. Despite the symptomatic resembleance between DIP and PD, DIP results from exposure to specific medications or substances, and thus, it is crucial to accurately differentiate these diseases.

Method: We performed quantitative EEG Analysis from 18 DIP patients, 43 de novo PD patients, and 12 healthy controls (HC). After exclusion, EEG data were analyzed, resulting in a final dataset of DIP (n=15), PD (n=41), and HC (n=12). EEG spectral power and inter-channel coherence were compared across the groups.

Results: Our results demonstrated significant differences in rsEEG patterns among DIP, PD, and HC groups. Specifically, increased theta band power was observed in DIP compared with PD patients, as well as in both PD and DIP patients compared with HC. DIP patients exhibited increased coherence in theta bands compared with both PD patients and HC, indicating altered functional connectivity. In addition, PD patients showed lower delta coherence compared with both DIP patients and HC.

Conclusion: The current study highlights substantial differences in EEG spectral power and inter-channel coherence, distinguishing DIP from PD. Our results suggest that rsEEG holds promise as a valuable tool in the differential diagnosis of DIP and PD, with significant clinical implications.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/quantitative-eeg-analysis-for-comparing-drug-induced-parkinsonism-and-parkinsons-disease/