Development of a predictive model of impulse control disorder in parkinson's disease using clinical, neuropsichological, genetic and neurophysiological data as risk markers.

Abstract

Impulse control disorders (ICD) are a common complication of Parkinson’s disease (PD) treatment, particularly of dopamine agonist (DA) use. ICD in PD have been studied for two decades. Nonetheless, prospective evidence is still scarce and predictive models are lacking. This thesis consists of four works addressing these gaps. In the first work we evaluated the association between impulsivity and incident ICD. We did not confirm the suspected association although we found a significant association between impulsivity and ICD severity (p=0.001). The lack of association between impulsivity and ICD presence was confirmed longitudinally in the fourth work. The second work was a longitudinal prospective survival study to evaluate whether the association between depression and ICD was causal. We found that depressed PD patients had approximately double risk of developing ICD (p

Date of Award	4 Dec 2019
Original language	English
Supervisor	Jose Aguilera Avila (Tutor), Jaime Kulisevsky Bojarski (Director), Javier Pagonabarraga Mora (Director) & Frederic Vicenç Sampedro Santalo (Director)