View clinical trials related to Parkinson Disease.
Filter by:This study was planned to investigate the use and results of virtual reality applications with specially prepared software for the rehabilitation of freezing phenomenon, which increases the falling anxiety of individuals with Parkinson's disease and causes social isolation. Individuals over the age of 50 who have been diagnosed with idiopathic Parkinson's disease by a specialist neurologist will be included in the study; Individuals evaluated in terms of balance, functional mobility, freezing phenomenon, participation, and cognitive status will be randomly divided into two groups receiving conventional treatment and additional virtual reality. After the preliminary evaluation, they will receive 8 weeks of treatment 4 days a week and will be evaluated after the treatment and 3 months after the treatment. In addition to the improvements that will emerge as a result of the treatments within the scope of the study, it is expected that the virtual reality application created with crowd simulation will provide more effective results in improving the parameters. Knowing the effects of exercises in crowds, which cannot be performed in the clinic, in the treatment of Parkinson's disease patients, whose freezing and freezing-related symptoms are aggravated, especially in crowded environments, will make significant contributions to the field.
Lewy Body Dementia (LBD) is the second most common form of degenerative dementia, affecting at least 2.4 million US adults, and the overwhelming majority of persons living with LBD (PLBD) are cared for by family caregivers. LBD caregiver strain: 1) exceeds that of non-LBD dementia caregivers; 2) worsens caregiver physical and mental health; and 3) increases the risk of PLBD hospitalization and institutionalization. LBD progression is complicated by combined motor, cognitive, and neuropsychiatric decline, and is punctuated by falls, infections, dehydration, and neuropsychiatric symptoms leading to acute healthcare utilization. Although family caregivers are uniquely positioned to identify and manage these challenges, which may avert emergency department visits and reduce morbidity, many caregivers lack the knowledge, skills, confidence, resources, and support to do so. The study team aims to 1) quantify the impact of PERSEVERE on caregiver knowledge, attitudes, mastery, and strain; 2) identify the intervention and mentor factors determining implementation fidelity; and 3) test the effects of PERSEVERE on PLBD quality of life and healthcare utilization. This will be accomplished in an NIH Behavioral Model Stage II national, randomized, attention-controlled, 12-week trial of PERSEVERE in 502 LBD caregivers in partnership with the Lewy Body Dementia Association, Parkinson's Foundation, and LBD Caregiver Advisors. The study team will match intervention arm caregivers with a trained peer mentor who will coach them through a modular, theory-based curriculum on LBD knowledge and social support. Attention-control participants will receive weekly, curated links to educational materials. The study team will identify immediate and delayed intervention effects, including mediators of strain at 12 weeks, and caregiver strain and PLBD outcomes at nine months. Implementation fidelity and PLBD healthcare utilization will be tracked biweekly. Qualitative methods will explore the intervention- and mentor-specific factors predicting fidelity, mentee outcomes, and retention. Remote recruitment, mentoring, and community engagement strategies will maximize accessibility and inclusion of underrepresented caregiver groups. Results will illuminate the extent to which leveraging prior LBD caregivers as expert interventionists can improve current caregiver outcomes, and in turn, PLBD outcomes. These results will inform future adaptation and dissemination of this model for other conditions.
Participants will be allocated to FMT group or placebo group at a 1:1 ratio. For interventional group, patients will be given six FMT capsules twice a week for 24 weeks. Placebo capsules are identical in appearance and smell but contain milk powder. During visitpoints, participants complete specific scales to assess improvement in constipation, emotion and quality of life. Besides, fecal samples are collected for metagenomics and metabolomics sequencing and blood samples are tested peripheral concentration of levodopa.
This is a phase 1，randomized, double-blind, placebo-controlled, SAD study to evaluate the safety, tolerability and pharmacokinetics of oral LPM526000133 Fumarate Capsules (LY03017) in healthy adult subjects.
This pilot study aims to evaluate the feasibility and acceptability of nocturnal translational vestibular stimulations (VS) applied by a rocking bed (Somnomat Casa) for two months in patients with Parkinson's Disease.
The proposed system (haptic module and insole device) for daily in-community use that detects the occurrence of freezing of gait (FOG) in people with Parkinson's disease (PD). and triggers external cueing stimuli to unfreeze the individual. The purpose of the overall Phase II study is to: (1) Develop a production ready system, (2) Develop a companion mobile app for the proposed system and refine previously developed FOG detection algorithms, and (3) Validate the proper operation of the system and demonstrate its efficacy through lab and in-community testing. This study will focus on validating the system and demonstrating efficacy through in-community testing.
Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive and widely used neuromodulation technology. Small sample studies have shown that rTMS treatment can significantly improve the symptoms of Parkinson's disease(PD) and delay the progression of the disease. In order to further explore the effectiveness of rTMS in the treatment of PD and lay the foundation for its clinical promotion, our research team plans to conduct a randomized double-blind controlled study of rTMS in the treatment of PD in multiple centers across the country.
In clinical practice, it is sometimes difficult to establish whether a patient's tremor is due to Parkinson's disease or essential tremor. The distinction is crucial as the health implications differ significantly between the two conditions. Therefore, the present study aims to develop a diagnostic method based on machine learning techniques to help differentiate whether a patient's tremor is due to one condition or the other. To achieve this, 110 patients with tremor, correctly diagnosed with either Parkinson's disease or essential tremor, will participate. They will undergo two diagnostic tests (tapping test and Archimedean spiral) to capture data that can be processed using machine learning techniques.
Given the expansion of indications for genetic testing and our understanding of conditions for which the results change medical management, it is imperative to consider novel ways to deliver care beyond the traditional genetic counseling visit, which are both amenable to large-scale implementation and sustainable. The investigators propose an entirely new approach for the implementation of genomic medicine, supported by the leadership of Penn Medicine, investigating the use of non-geneticist clinician and patient nudges in the delivery of genomic medicine through a pragmatic randomized clinical trial, addressing NHGRI priorities. Our application is highly conceptually and technically innovative, building upon expertise and infrastructure already in place. Innovative qualities of our proposal include: 1) Cutting edge EHR infrastructure already built to support genomic medicine (e.g., partnering with multiple commercial genetic testing laboratories for direct test ordering and results reporting in the EHR); 2) Automated EHR-based direct ordering or referring by specialist clinicians (i.e., use of replicable modules that enable specialist clinicians to order genetic testing through Epic Smartsets, including all needed components, such as populated gene lists, smartphrases, genetic testing, informational websites and acknowledgement e-forms for patient signature); 3) EHR algorithms for accurate patient identification (i.e., electronic phenotype algorithms to identify eligible patients, none of which currently have phenotype algorithms present in PheKB; 4) Behavioral economics-informed implementation science methods: This trial will be the first to evaluate implementation strategies informed by behavioral economics, directed at clinicians and/or patients, for increasing the use of genetic testing; further it will be the first study in this area to test two forms of defaults as a potential local adaptation to facilitate implementation (ordering vs. referring); and 5) Dissemination: In addition to standard dissemination modalities,PheKB95, GitHub and Epic Community Library, the investigators propose to disseminate via AnVIL (NHGRI's Genomic Data Science Analysis, Visualization, and Informatics Lab-Space). Our results will represent an entirely new paradigm for the provision of genomic medicine for patients in whom the results of genetic testing change medical management.
This is a randomized controlled study, including dysphagic patients with Parkinson's syndrome who were received in the department of rehabilitation medicine. All patients are randomly allocated to the observation group or the control group. Both groups are provided with comprehensive rehabilitation. Besides, the observation group additionally undergoes the stellate ganglion block. At admission and after 10-day treatment, Functional Oral Intake Scale, Drooling amount, depression are assessed.