Impulse Control Disorders in Parkinson’s Disease: Crossroads between Neurology, Psychiatry and Neuroscience

Bugalho, Paulo; Oliveira‐Maia, Albino J.

doi:10.1155/2013/826742

Cited by 12 publications

(11 citation statements)

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“…Impulse control disorders (ICDs) occur in approximately 15% of the PD population. ICDs encompass a spectrum of behavioural disorders characterised by the inability to resist an inappropriate drive that often has harmful consequences 1. ICDs commonly take the form of pathological gambling, compulsive buying, hypersexuality or binge eating.…”

Section: Introductionmentioning

confidence: 99%

Impulsivity in Parkinson’s disease is associated with altered subthalamic but not globus pallidus internus activity

Rossi

Shute

Opri

et al. 2017

J Neurol Neurosurg Psychiatry

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Section: Introductionmentioning

confidence: 99%

Impulsivity in Parkinson’s disease is associated with altered subthalamic but not globus pallidus internus activity

Rossi

Shute

Opri

et al. 2017

J Neurol Neurosurg Psychiatry

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“…A class of people suffers from an inability to resist an inappropriate hedonic drive, eventually resulting in performance of unfavorable actions with harmful consequences. This inability is termed as impulse control disorder (ICD), and is displayed in around 14% of ON medication PD (PD-ON) patients who are mostly treated with DA agonists [ 14 ]. ICDs include pathological gambling, compulsive shopping, binge eating, punding, overuse of dopaminergic medication, and over-engaging in meaningless hobby-like activities.…”

Section: Introductionmentioning

confidence: 99%

“…In-vivo neurochemical analysis in rats performing a serial reaction time task revealed that dysfunction in neuromodulators such as DA and serotonin (5HT) in the fronto-striatal circuitry is associated with impulsivity [ 8 ]. Specifically receptors such as DA D2, and 5HT 1,2,6 are shown to significantly contribute to the impulse control disorder [ 14 , 17 , 18 ]. Computational modelling can be used for a better understanding of the contribution of the above mentioned structures and neurochemicals to impulsive decision making, as is described below.…”

Section: Introductionmentioning

confidence: 99%

“…Some models account for these differences in reward / punishment learning between the PD-ON and PD-OFF patients by invoking differential learning rates for positive and negative feedback learning [ 20 ]. According to one model, ICD is an effect of automaticity of the stimulus-response relationship that becomes insensitive to the outcome; thus ICD is thought to be a form of habitual action [ 14 ]. Another model that belongs to the actor-critic family of BG models localizes the critic module (which evaluates the rewards associated with an action) to ventral striatum, and the actor module (which provides an executable plan for performing actions) to dorsal striatum.…”

Section: Introductionmentioning

confidence: 99%

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Identifying the Basal Ganglia Network Model Markers for Medication-Induced Impulsivity in Parkinson's Disease Patients

et al. 2015

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Impulsivity, i.e. irresistibility in the execution of actions, may be prominent in Parkinson's disease (PD) patients who are treated with dopamine precursors or dopamine receptor agonists. In this study, we combine clinical investigations with computational modeling to explore whether impulsivity in PD patients on medication may arise as a result of abnormalities in risk, reward and punishment learning. In order to empirically assess learning outcomes involving risk, reward and punishment, four subject groups were examined: healthy controls, ON medication PD patients with impulse control disorder (PD-ON ICD) or without ICD (PD-ON non-ICD), and OFF medication PD patients (PD-OFF). A neural network model of the Basal Ganglia (BG) that has the capacity to predict the dysfunction of both the dopaminergic (DA) and the serotonergic (5HT) neuromodulator systems was developed and used to facilitate the interpretation of experimental results. In the model, the BG action selection dynamics were mimicked using a utility function based decision making framework, with DA controlling reward prediction and 5HT controlling punishment and risk predictions. The striatal model included three pools of Medium Spiny Neurons (MSNs), with D1 receptor (R) alone, D2R alone and co-expressing D1R-D2R. Empirical studies showed that reward optimality was increased in PD-ON ICD patients while punishment optimality was increased in PD-OFF patients. Empirical studies also revealed that PD-ON ICD subjects had lower reaction times (RT) compared to that of the PD-ON non-ICD patients. Computational modeling suggested that PD-OFF patients have higher punishment sensitivity, while healthy controls showed comparatively higher risk sensitivity. A significant decrease in sensitivity to punishment and risk was crucial for explaining behavioral changes observed in PD-ON ICD patients. Our results highlight the power of computational modelling for identifying neuronal circuitry implicated in learning, and its impairment in PD. The results presented here not only show that computational modelling can be used as a valuable tool for understanding and interpreting clinical data, but they also show that computational modeling has the potential to become an invaluable tool to predict the onset of behavioral changes during disease progression.

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“…A further kind of behavioral symptoms in PD, the impulse control disorders (ICDs), have been addressed by Bugalho and Oliveira-Maia in the present issue [30]. ICDs are characterized by an inappropriate drive to conduct repetitive behaviours that are usually socially inadequate or result in harmful consequences.…”

mentioning

confidence: 97%

Towards a Deeper Comprehension of Relationships among Cognitive, Behavioral and Psychiatric Symptoms in Parkinson’s Disease

Trojano

Santangelo

Conson

et al. 2013

Behavioural Neurology

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Parkinson's Disease (PD) is nowadays considered as a complex clinical condition in which motor symptoms coexist with several non-motor symptoms. A growing body of literature has addressed non-motor symptoms in PD [1], that are progressively being recognized as a potential source of distress for patients and their families, even greater than that imposed by the well-known motor impairments [2][3][4].The aim of this special issue was to gather together studies providing new findings about a specific subset of non-motor symptoms in PD: cognitive, behavioural and psychological disturbances, that are likely those with the highest impact on patient's daily life [5,6]. Within this framework we collected papers addressing neuropsychological defects (particularly frontal dysfunctions and dysexecutive syndromes) and neuropsychiatric disorders (such as hallucinations, depression and apathy, compulsive behavior), and highlighting the possible relationships of these symptoms with pharmacological treatment, and, above all, with each other.In the present issue a review by Friedman et al.[7] addressed occurrence of psychosis and hallucinations in PD. Psychotic symptoms are common in drug treated PD patients: visual hallucinations (VH) have been reported to occur in about 30%, whereas delusions, typically paranoid in nature, occur in about 5%. These

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Impulse Control Disorders in Parkinson’s Disease: Crossroads between Neurology, Psychiatry and Neuroscience

Cited by 12 publications

References 100 publications

Impulsivity in Parkinson’s disease is associated with altered subthalamic but not globus pallidus internus activity

Impulsivity in Parkinson’s disease is associated with altered subthalamic but not globus pallidus internus activity

Identifying the Basal Ganglia Network Model Markers for Medication-Induced Impulsivity in Parkinson's Disease Patients

Towards a Deeper Comprehension of Relationships among Cognitive, Behavioral and Psychiatric Symptoms in Parkinson’s Disease

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