Objective: To assess the role of slow wave activity during slow wave sleep (SWS-SWA) as a marker of levodopa induced dyskinesia (LID) development in Parkinson’s disease (PD) patients.

Background: A reduced amount of SWS-SWA has been observed in PD patients presenting LID. In these patients, also the physiological SWS-SWA mediated downscaling process seems to be impaired. We hypothesize that SWS-SWA alteration could help in determining the appearance of dyskinetic symptoms.

Method: 12 PD patients with LID, who underwent a PSG before LID’s appearance were included. NREM sleep epochs were extracted and SWS-SWA power was calculated. A linear regression model was built in order to assess if the values of the response variable (months to the emergence of LID) could be predicted based on the values of the predictor variable (SWS-SWA power).

Results: We observed a significant positive correlation between SWS-SWA power over central regions and time to the appearance of LID. The linear regression model established that the amount of SWS-SWA power over these regions could statistically predict the time to the emergence of LID.

Conclusion: Our findings suggest a key role of SWS-SWA in the development of LID and, if confirmed, could pave the way to the study of possible sleep targeted therapies able to protect PD patients from the development of this treatment-related complication.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/slow-wave-activity-as-a-marker-of-levodopa-induced-dyskinesia/