Active clinical trials for "Parkinson Disease"

This project will evaluate the utility of diffusion tensor imaging (DTI) as an adjunctive method to improve early diagnosis of Parkinson's disease (PD). Two populations will be evaluated in this study: 1) Individuals with uncertain PD diagnosis who receive a DaTscan, and 2) individuals with well characterized PD and healthy controls, drawn from the fully enrolled Parkinson's Progression Markers Initiative (PPMI) PD and control cohorts.

The purpose of this study is to determine the potential for a Parkinson's Disease (PD) -specific breath signature as a non-invasive screening tool for identifying PD patients with inflammation, tracking the progression of disease, and responsiveness to various therapeutic interventions, in particular anti-inflammatory or immunomodulatory therapies. Neurological disorders include any disorder involving the brain or the nervous system, for example memory disorders, stroke, movement disorders and many other conditions. The study will lay the foundation for future studies in which breath fingerprinting could be used as a screening technique. Investigators will also be looking at how the breath fingerprint correlates with inflammatory proteins in the blood.

Parkinson's Disease (PD) is a chronic, progressive, degenerative movement disorder characterized by motor and non-motor findings, and the incidence increases with age.There are different methods for the evaluation of articular cartilage in PD. The aim of this study is to examine the effect of cartilage thickness evaluated by US on disease stage, motor functions, balance and fall risks in individuals with Parkinson's Disease.

The aim of this study is to evaluate the impact of pharmaceutical care on the number of drug-related problems, clinical outcomes and quality of life of patients with Parkinson's disease.

Parkinson's disease (PD) leads to multifactorial disabilities with consequent social restrictions, especially in the COVID-19 era. Continuity of care, especially rehabilitation measures, is critical to improve or maintain an adequate QoL for patients. The Parkinson Disease Telerehabilitation Program (PDTR) is an individualized home rehabilitation program using open-source platforms (OSp). The main purpose of this pilot study is to investigate the feasibility of TR in patients with PD by using free OS platforms (PDTR PROGRAM). The target of this study was to have at least 90% of participants completing the program. To complete the program every single patient had to complete at least 80% of the prescribed TR sessions.

The aim of this study is to investigate whether researchers can improve sleep quality in patients with deep brain stimulators by delivering targeted stimulation patterns during specific stages of sleep.

The motor impairment produced by Parkinson's disease (PD) is a significant and debilitating part of the condition. Current methods to evaluate this impairment rely on subjective examinations. The investigators seek to develop an objective assessment of motor deficits by monitoring the participants natural interactions with a keyboard (on a computer or smart device). This approach provides a window to how the brain behaves during typical daily use of these devices, i.e. writing a report, sending an email or any other task performed on a digital device and thus has the potential to be used easily and regularly. (Importantly, the data gathered are non-sensitive and based only on timing information). PD participants will be recruited during outpatient visits to PD clinics throughout the Madrid metropolitan region. General entry criteria will be those patients who are scheduled to begin dopaminergic therapy, and own a home computer or laptop. The study will not impact on participants' standard clinical management other than by asking the participants to type for 15 minutes at each of the clinic visits, and installing the investigators proprietary software on their home computer. This software will collect keystroke data alone. (None of the actual information about what is being typed will be collected.) The keystroke data collected will be analyzed and compared with standard clinical metrics of therapeutic response, as well as the in-clinic typing data.

Parkinson's disease (PD) is associated with problems of gait such as veering, difficulty turning, an inability to perceive doorways or obstacles, and negotiate uneven terrain. Gait problems, especially veering, may be exacerbated by visuospatial dysfunction which predispose to falls, freezing and festination of gait. Visuospatial dysfunction is common in PD and likely involves peripheral features (e.g. contrast sensitivity) as well as central cognitive mechanisms (e.g. attention). Central neuro-degeneration in PD, PD dementia, and dementia with Lewy Bodies may influence visual function, as impaired visual sampling has been reported in these conditions. Visual sampling is measured via saccadic (fast eye movement) activity, as saccades are the mechanisms through which people orientate and explore the environment. The use of objective devices to reliably measure saccades is important to detect disease related eye movement changes. Emerging visuomotor research has measured visual sampling in PD using devices such as electrooculography and infra-red eye tracking, revealing reduced amplitude, speed and frequency of saccades during various tasks. Despite recent increases in visuomotor research it remains unclear how PD influences visual sampling of the environment during gait and the influence of attentional and cognitive deficits. Recent work demonstrated that people with PD sample their environment less frequently than controls, despite a slower gait. Saccadic timing was unchanged in response to environmental cues. Despite this, environmental visual cues (transverse lines on the floor) have been shown to increase the number of fixations made during gait. However the mechanisms of this response remain unclear. Cognition is likely of importance, with response potentially influenced by attentional control. This observational study aims to examine the influence of cognition on visuomotor control during gait in PD. This aim will be achieved by observation of visual sampling under several environmental challenges (straight walk, doorways, turns, visual cue) and a dual task.

Freezing of gait (FOG) is among the most disabling motor features of Parkinson disease (PD) and is present in other forms of parkinsonism as well. FOG is a brief (usually lasting <30 seconds) episode of absence or a greatly reduced forward movement of the feet despite intention to walk. It typically occurs when patients initiate gait (so-called "start hesitation") and when attempting to turn. It is a leading cause of falls and often results in a wheelchair-dependent state. FOG greatly interferes with activities of daily living, causes social isolation and poor quality of life. FOG is one of the least understood features of PD. It possibly may develop independent of the other motor features of the disease, and be caused by specific pathological changes in the brain. Previous studies on FOG have shown conflicting information and have not lead to clear understanding of the pathophysiology. One key reason for this is that there appears to be multiple subtypes which have rarely been taken into account. The purpose of this study is to show that different types of FOG exist and to see if there is a connection to cognitive differences or gait patterns.

Background: Long-term management of Parkinson's disease (PD) does not reach its full potential due to lack of knowledge about disease progression. The Real-PD study aim to evaluate the feasibility and compliance of usage of wearable sensors in PD patients in real life. Moreover, an explorative analysis concerning activity level, medication intake and mood will be done. Methods: Overall, 1000 PD patients and 250 physiotherapist will be enrolled in this observational study. Dutch PD patients will be recruited across the country and an assessment will be performed using a short version of the Parkinson's Progression Markers Initiative (PPMI) protocol. Moreover, participants will wear a set of medical devices (Pebble Smartwatch, fall detector) and they will use a smartphone with The Fox Insight App (Android app), 24/7, during 13 weeks. Primary measures of interest are: 1) physical activity, falls and tremor, measured by the axial accelerometers embedded in the Pebble watch and fall detector; and 2) medication intake and mood reports measured by patients' self-report in the Android app. To measure motor impact, an assessment will be performed by physiotherapists who are all certified to perform the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Discussion: Management of PD patients is complex and appears to be a challenging task for health care professionals. The main reason is the lack of knowledge in the disease pattern. This issue could be solved by a long term follow-up of patients' during their everyday life, and wearable medical devices can act as a way to collect data about every day life activities. Therefore, the Real-PD study will be a first contribution in increasing the lack of knowledge in disease progression, developing a new medical decision system and improving PD patients' care.