Active clinical trials for "Parkinson Disease"

Most leading academic centers including Baylor College of Medicine (BCM) perform deep brain stimulation surgery in the awake patient using microelectrode recording to guide final electrode placement. Microelectrode recording is a means of analyzing the electrical activity of the brain, and assessing whether we have found the target for the deep brain stimulator electrode. However, no evidence exists that microelectrode recording improves patient outcomes. The use of microelectrode recording does extend the duration of surgery and there is evidence to suggest that microelectrode recording may increase the risk of bleeding in the brain during surgery.

This study reviews the outcome of deep brain stimulation treated patients in Helsinki and Uusimaa University Hospital between 2006 and 2014. The aim of the study is to investigate the outcome and possible side effects of deep brain stimulation treatment.

This is a study to see whether participation in the Edmond J. Safra Interdisciplinary Home Visit Program for Advanced Parkinson's (HVP) increases the rate of age-appropriate vaccinations in people with advanced Parkinson's Disease (PD) and related disorders. This study will evaluate the impact of the HVP on the rate of common illnesses such as flu and pneumonia in patients with advanced PD and related disorders over the course of one year. As there is currently no data available on the baseline rate of vaccinations in either homebound or less disabled PD populations, investigators will seek to establish the baseline rate of vaccinations, barriers to getting vaccinated, and baseline healthcare utilization in these populations by piloting (Phase 1) and then implementing (Phase 2) a survey via telephone interviews. Investigators will then test feasibility of offering influenza and pneumococcal vaccinations, as appropriate, to the homebound individuals in our HVP cohort (Phase 3), and will compare their pre- and post-intervention rates of both outpatient and acute healthcare utilization and self-reported illness.

Parkinson's disease (PD) is the most frequent neurodegenerative disorder after Alzheimer's disease. It is characterized by motor symptoms (rigidity, tremor, slowness of movements), and non-motor symptoms (neuropsychological, psychiatric, pain ...). Neuronal death initiates in the brainstem and extends progressively through the entire cortex. The processes leading to cell death are poorly understood. Pathological cells exhibit abnormal deposits, called Lewy bodies, which contain numerous proteins. A major constituent of these protein deposits is alpha-synuclein. It has recently been demonstrated, in the Laboratory of Molecular Biophysics of the CNRS (Scientific Research National Center) in Orleans, that α-synuclein interacts with Cytogaligin, a protein produced by the proapoptotic GALIG gene. Cytogaligin could thus be a factor regulating α-synuclein activity or aggregation. It is postulated that the level of expression of the GALIG gene is different in Parkinson's disease patients compared with control subjects.

Pain is a common symptom of Parkinson's disease (PD) but the physiology remains poorly understood. Recent work suggests that subthalamic nucleus deep brain stimulation (STN-DBS) could make a profit on the pain in PD. The investigator would drive a study with a follow up of PD patients before and after STN-DBS. The pain will be clinically explored by targeted questionnaires and electrophysiological through laser evoked potentials. The questionnaires are designed to quantify and characterize the pain in these patients. Laser evoked potentials will, through repetitive stimulation, study both the functional status of the afferent nociceptive pathways, their habituation to repetitive nociceptive stimuli, and so better understand any abnormalities of the central processing of nociceptive information.

This pilot study looked to see if a new brace would change the way people with Parkinson's Disease positioned their bodies. It also gathered information on the experience of wearing the brace.

Parkinson's disease (PD) is a chronic and progressive neurological movement disorder, meaning that symptoms continue and worsen over time. Nearly 10 million people worldwide are living with Parkinson's disease. Finding cost-effective non-invasive monitoring techniques for detecting motor symptoms caused by Parkinson's disease are potentially of significant value for improving care. Of the PD symptoms, the motor symptoms are the most common and detectable signs that can be assessed unobtrusively for both diagnosis and for evaluating the effectiveness of the treatments. The goal of our study is to find methods for identifying and classifying the motor symptoms caused by Parkinson's disease. Focus of the study is on long-term motion tracking measurements conducted at home during normal everyday life. Both accelerometers connected to arm and leg and mobile phone inbuilt sensors carried in the belt are utilized in the study. The research has two main objectives / hypotheses: Can the motor symptoms related to different levels of Parkinson's disease be identified using motion tracking sensors? The first objective includes extracting and screening the motion differences of patients in early stages of the diseases in comparison with the patients in developed stages (patients having hypokinesia, dyskinesia and state changes) of the diseases and their differences with healthy control elderly adults using advanced signal and data analytics. Data from questionnaires and walking test conducted in the hospital environment are utilized as comparison points. Goal is to test the hypothesis that the amount of motor symptoms can be detected and the three groups can be reliably separated using sensor data. Can the time when the Parkinson medicine is taken be detected from the movement signals? A sample of 50 volunteer PD patients with early stage of the disease (no dyskinesia and state changes), plus 50 volunteer PD patients in the later stage of the disease (having dyskinesia and state changes), plus 50 volunteers who do not have Parkinson's disease will be recruited for the research. Study starts with a telephone screening and visit to the hospital. Background characteristics and stage of the Parkinson's disease is evaluated in the hospital using a UPDRS questionnaires (Unified Parkinson's Disease Rating Scale; Finnish version) and a standardized 20-step walking test. Before the walking test, accelerometer sensors are attached to the shank and on the nondominant wrist. In addition, the participant wears a smart mobile phone with embedded accelerometer and gyroscope sensors. Based on the questionnaires and walking test study physiotherapist classifies the participant into one of the three study groups. The major part of the study involves a 3-day motion screening in a free-living setting in which the subjects are wearing the abovementioned sensors for as long duration as they comfortably can and are willing. This 3-day study starts immediately after completion of the 20-step walking test in the hospital. During the 3-day study, subjects are free to live their lives without any additional tests. Subjects mark down the time when they take their Parkinson medication.

Multi-center, retrospective observational cohort study in 4 tertiary referral centers in Cairo over the period from 2004 to 2016. Study population. including all patients with idiopathic Parkinson disease attending. Patients were diagnosed in accordance to the United Kingdom - Parkinson Disease Society Brain Bank criteria.

The freezing of gait (FOG) is one of the disabling symptoms in Parkinson's disease. The diagnosis and assessment of the FOG may be diffucult, but it is absolutely necessary. The aim of this study was to develop a Türkish version of the freezing of gait questionnaire (FOG-Q) and assess the validity and reliability of this Türkish version. The researchers firstly communicated with the developers of the FOG-Q. The permission for Turkish version was received by Giladi. Then, the FOG-Q will be adapted into Türkish using forward-backward translation by three native Türkish-speaking forward translators and one native English-speaking backward translator. The internal reliability of the FOG-Q Türkish version will be assessed using Cronbach's alpha, and item analyses will be conducted by examining the effect on Cronbach's alpha of excluding each of the six FOG-Q items individually. The test-retest reliability will be assessed using intraclass correlation coefficient (ICC). Convergent validity will be evaluated by means of Spearman rank correlation coefficient (rs). In this section will be determined the correlation between the FOG-Q scores and scores of the UPDRS motor section , Berg Balance Scale, Timed up and go test, Falls Efficacy Scale and Hoehn and Yahr stages.

This study is a pilot study, mainly to explore the potential application value of specific pattern movement after video-based quantitative methods in the early recognition and assessment of Parkinson's disease. According to UPDRS III, a series of motion indicators related to the characteristics of the disease were determined and quantitatively analysed. Motor function scores were given by the senior physicians and the AI video analysis team separately to evaluate the accuracy of the scores of AI video analysis compared with that of senior specialists' team of movement disorders.