Objective: To investigate neural correlates of positive and negative feedback processing during reward-related decision-making using the Balloon Analogue Risk task (BART) and event-related potentials (ERPs).

Background: Dopaminergic replacement treatment (DRT) can trigger impulse control disorder (ICD) in around the 30% of PD patients [1]. Worse cognitive performances in reward-decision making tasks have been associated with ICD in PD [2]. We showed that PD patients with ICD, in contrast to PD patients without ICD and healthy controls, do not change their risky behavior after a negative feedback during the BART [3].

Method: Twenty non-demented medicated PD patients (10 with and 10 without ICD) and 10 healthy controls, matched for age, sex and years of education, will perform the BART while 64-channels electroencephalogram will be recorded. ERPs will be time-locked to the onset of both positive-reward and negative-loss feedback. All participants will also complete a comprehensive neuropsychological battery and neuropsychiatric measures of depression, anxiety, apathy, and impulsivity will be recorded. The BART average (i.e., average number of pumps in the cashed balloons) and differential (i.e., the difference between the average number of pumps for trials immediately preceding and immediately following a balloon burst) scores (primary outcome) as well as neuropsychological and neuropsychiatric measures will be compared between groups by one-way ANOVAs followed by post hoc with Bonferroni’s correction. Mean amplitude of two components associated with feedback, namely feedback-related negativity (FRN) and P300, will be compared between and groups via mixed design ANOVAs. Neuropsychological and neuropsychiatric variables that differ between groups will be entered as covariates.

Results: Study recruitment is ongoing. Preliminary results will be presented at the meeting.

Conclusion: Understating brain processes associated with abnormal behavioral performance in PD with ICD may help to shed some light on neurobiological underpinnings of ICD in PD. If the ERP components will differ between groups, future studies should investigate them as a potential biomarkers of ICD development after DRT.

References: 1. Antonini A, Barone P, Bonuccelli U, Annoni K, Asgharnejad M, Stanzione P. ICARUS study: prevalence and clinical features of impulse control disorders in Parkinson’s disease. J Neurol Neurosurg Psychiatry (2017) 88:317–324. 2. Martini A, Dal Lago D, Edelstyn NMJ, Grange JA, Tamburin S. Impulse Control Disorder in Parkinson’s Disease: A Meta-Analysis of Cognitive, Affective, and Motivational Correlates. Front Neurol (2018) 9: 654. doi:10.3389/fneur.2018.00654 3. Martini A, Ellis SJ, Grange JA, Tamburin S, Dal Lago D, Vianello G, Edelstyn NMJ. Risky decision-making and affective features of impulse control disorders in Parkinson’s disease. J Neural Transm (2018) 125:131–143. doi:10.1007/s00702-017-1807-7

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MDS Abstracts - https://www.mdsabstracts.org/abstract/negative-and-positive-feedback-processing-in-parkinsons-disease-and-impulse-control-disorder-an-erp-study/