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Active clinical trials for "Parkinson Disease"

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The Measurement of Nocturnal Hypokinesia in Parkinson's Disease (PD) Patient Compared With Spouse...

Parkinson Disease

To quantitative measurement of nocturnal hypokinesia of Parkinson's disease patients compares with their spouses by using multisite accelerometers for 1 night at their home. To determine whether the nocturnal movement of Parkinson's disease patients less than normal elderly people or not.

Unknown status4 enrollment criteria

The Dutch Parkinson and Cognition Study

Parkinson Disease

Parkinson Disease (PD) is a heterogeneous, progressive neurodegenerative disorder which is characterized by a variety of motor and non-motor symptoms. The DUPARC study is a single-centre longitudinal cohort study aimed at deeply phenotyping newly diagnosed PD patients. The main aim is to investigate the relationship between cognitive impairment and both cholinergic and dopaminergic neurodegeneration in the early stages of the disease. In addition, gastrointestinal and visual system dysfunction in PD and their role in the underlying pathology are further explored in a longitudinal setup. Treatment-naïve participants will undergo extensive motor- and non-motor assessment, imaging, and microbiome assessment at time of diagnosis, and will be followed for at least 3 years.

Unknown status19 enrollment criteria

Parkinson's Disease Inflammatory Biomarker Profiling

Parkinson Disease

This study compares a comprehensive panel of immunological biomarkers between Parkinson's disease patients and healthy, environmentally matched participants. This unique study design provides the ability to control for differences in environment between study subjects. The goal of this study is to 1) identify a specific set of immunological markers that correlate with a clinical diagnosis of Parkinson's disease and 2) stratify patients by disease severity using these same biomarkers.

Unknown status27 enrollment criteria

The Fine Motor Dexterity Under Dual Task in Parkinson's Disease

Fine Motor Skill DysfunctionParkinson Disease

This study was planned to investigate the contribution of dual task interference on dexterity related ADL disability in patients with Parkinson's disease. We hypothesised that the dual task interference is an indicator of dexterity related ADL difficulties.

Unknown status6 enrollment criteria

Validation of DaTscan for Detection of Parkinson Disease Related Disorders

Parkinson DiseaseMovement Disorders

This investigator initiated trial is designed to measure the accuracy of diagnosis of Parkinson disease through the use of DaTscan. Currently, DaTscan is FDA approved to measure dopamine transporter densities in human tissue. This measurement can assist in distinguishing between Essential Tremor and Parkinsonian Syndromes (idiopathic Parkinson disease, Progressive Supranuclear Palsy, Multi Systems Atrophy, etc). This study will compare both clinical diagnosis of symptoms and the results of the scan to the pathological diagnosis received at time of death. Patients will be registered in the Parkinson Research Institute's brain donation program, receive a clinical diagnosis of Parkinson disease, have their brain scanned using DaTscan, and donate their tissue for research and autopsy purposes. The hypothesis of the study is that DaTscan will diagnosis Idiopathic Parkinson Disease as accurately as a clinician.

Unknown status6 enrollment criteria

Parkinson's Disease Registry

Parkinson Disease

The purpose of the Parkinson's disease Registry (PDR) is to develop a nation-wide database of persons with Parkinson's disease (PD) in Taiwan.

Unknown status2 enrollment criteria

A Longitudinal Study in 1st Degree Relatives of Parkinson's Disease (PD) Patients

Parkinson's Disease

This is a longitudinal study in healthy 1st degree relatives of patients with Parkinson's Disease (PD) carriers of a genetic mutation in genes that are known to increase the risk for PD. The purpose of this study is to explore the association between genetic mutations in the known genes and early preclinical symptoms such as motor, sensory, autonomic, behavioral and cognitive functions.

Unknown status4 enrollment criteria

Validation of the Hebrew Version of the Montreal Affective Voices.

Parkinson's DiseaseDepression

Today, no non-verbal auditory stimuli that assess mental processing are available in Israel. The goal of this study is to make available a validated set of auditory stimuli in Israel. We created a computerized Hebrew version of the Montreal Affective Voices (MAV). The MAV is a novel tool for assessing mental processing. The MAV consists of 90 nonverbal affect bursts corresponding to nine different emotions (such as anger, fear, happiness etc.) recorded by ten different actors. The uniqueness of these affective bursts is that they do not contain verbal context, but rather express affective moods using the vowel /a/ (as in "apple"). In this study, the investigators will verify the new Hebrew version of MAV in healthy control groups. Next, the investigators will compare the mental processing ability in young vs. old population, using the MAV test. In addition, the investigators will assess mental processing in two pathologic study groups (Parkinson's disease, major depressive disorder) using the MAV test. The investigators intend to use the MAV tool in future research in Parkinson's disease and depression.

Unknown status5 enrollment criteria

White Matter Pathology in Parkinson's Disease (PD)

White Matter LesionsPostural Instability Gait Disorders

The relationship between WM lesions (WM) and Postural Instability Gait Disorders (PIGD-PD)in Parkinson's disease patients is largely unknown. We hypothesize that sub-clinical WM pathology may be a major contributing factor to PIGD-PD. We will compare two groups of patients with Parkinson's disease (PD): those with PIGD and patients with dominant tremor (n=120)to assess the role of brain WM changes.

Unknown status9 enrollment criteria

Automatic Recognition of Freezing of Gait Episodes

Parkinson's Disease

The investigators hypothesize that mathematical algorithm can identify freezing episodes based on data obtained from accelerometer.

Unknown status2 enrollment criteria
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