Active clinical trials for "Parkinson Disease"

People sometimes report that their relatives who have been diagnosed with Parkinson's disease (PD) have a unique smell. A previous study has demonstrated that PD patients do have smell that is different from that of healthy people. Sniffer dogs have long been used to identify criminals, and recently been used to identify subject with cancer. The investigators hypothesized that sniffer dogs may be able to identify PD patients.

The goal of this study is to identify reliable markers of LRRK2 activity in human CSF.

The primary objective of the study is to evaluate the feasibility of eliciting continuous narrative speech in different neurodegenerative and psychiatric indications, using remote, self-administered speech tasks, as measured by the average length of speech elicitation for each speech task during the first week of self-assessment. Secondary objectives include (1) evaluating the reliability of speech tasks in the remote self-administered setting, as measured by the intra- and inter-subject variance; (2) accessing the adherence of speech tasks in this setting, as measured by the subject average fraction of days during the first week, where at least one task response is submitted; (3) evaluating the feasibility of using speech tasks in the setting of a telemedicine videoconference, as measured by the average length of speech elicited in each group; (4) evaluate whether a set of acoustic and linguistic patterns can detect each indication, compare to either a control group or all other indications, as measured by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and Cohen's kappa of the relevant binary classifier; (5) evaluating how the performance of such algorithms can be impacted by speaker and environment covariates, as measured by the Kendall rank correlation coefficient of the AUC of each classifier and each of age group, gender and speech-to-reverberation modulation energy ratio.

Based on a prospectively collected data analysis, a new tool, namely CoMDA (Cognition in Movement Disorders Assessment) is developed by merging each item of Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Frontal Assessment Battery (FAB). A machine learning, able to classify the cognitive profile and predict patients' at risk of dementia, is created.

The AETIONOMY project will generate a refined taxonomy and testable mechanisms underlying the derived stratification of patients.

HaGuide version 1.0 (Neuro-Omega Ltd.) is a software module add-on to the FDA cleared Neuro-Omega System (K123796). It was designed to facilitate the use of Neuro-Omega's system by automatically mapping visually the depth of STN landmarks intra-operatively. HaGuide algorithm computes and displays the STN entry and exit, as well as introduces a detection of a distinct DLOR-VMNR boundary. HaGuide visual display is added to the UI and it is supplementing and not replacing the previously cleared standard display (visual and audio) of the system.

Action slowing has been demonstrated in many diseases. Parkinson's disease (PD) and Huntington's disease (HD) are two neurodegenerative diseases affecting the basal ganglia, particularly the medial globus pallidus, and the clinical expression of these two diseases is characterized by a combination of motor and cognitive disorders, but with two opposing patterns of dysfunction. Action slowing has been demonstrated in both of these diseases and has been extensively studied in Parkinson's disease, suggesting a perceptive-cognitive origin. Far fewer studies have been conducted in Huntington's disease. However, all of these studies were performed with different methodologies in small cohorts and the value of the proposed study is to use a validated and standardized computerized mental chronometry paradigm, providing a better understanding of the mechanisms of action slowing in these two diseases and to more clearly define a disease-specific profile.

Impulse control disorders (ICD) are frequent in Parkinson's Disease. Neurobiological substrates of these symptoms are largely unknown. The investigators aim to explore mesocorticolimbic pathway in Parkinson's disease patients with impulse control disorders (ICD) using an MRI technique called tensor diffusion imaging (DTI). More precisely, the main purpose is to demonstrate that fractional anisotropy (FA) (data obtained with DTI) in the ventral tegmental area (VTA) is different between patients with ICD and patients without ICD. Secondary objectives are to demonstrate a difference in volume of VTA, in FA in others structures included in reward system (prefrontal cortex, nucleus accumbens, amygdala), and in number of fibers between VTA and the other structures of reward system between this two groups. Other objective is to measure and compare these same variables between Parkinson's patients and healthy controls. We hypothesized that a denervation of mesocorticolimbic pathway predisposes Parkinson's patients to ICD.

The objective of this study is to validate a diagnostic tool severity of these common non-motor manifestations, disturbing and little recognized as a self-questionnaire. This assessment tool used on different subgroups of patients (free from any treatment at an early stage of the disease and the stage of motor complications) will better understand the natural history of the non-motor fluctuations (FNM)

The way the immune system responds to certain PD-related proteins in PD donors compared to the way it responds in persons without or fewer PD related proteins is not well studied and this study aims to analyze the autoimmune response in each group. The study involves a one time visit involving brief questionnaires and a blood draw of 30 mL (approximately 2 tablespoons) to be collected.