View clinical trials related to Multiple System Atrophy.
Filter by:Synaptic loss has been implicated in various neurodegenerative conditions, yet its understanding in multiple system atrophy (MSA) remains limited. The aim of this study was to examine spatial synaptic density alterations in MSA patients and evaluate the potential of [18F]SynVesT-1 PET as an imaging biomarker for MSA in both diagnosis and monitoring disease severity.
The goal of this retrospective observational study is to describe the efficacy of focused ultrasound ventral-intermediate nucleus thalamotomy in patients with atypical parkinsonism. - Is this treatment efficacious in patients with multiple system atrophy? - Is this treatment efficacious in patients with diffuse Lewy Body Dementia? Data will be collected from patients charts.
The study is a multi-center, observational study to evaluate the feasibility of α-synuclein-related biomarkers and imaging data in the disease diagnosis and prognosis evaluation in Synucleinopathies and healthy subjects.
The aim of the study is to evaluate the effects on motor and cognitive performance of transcranial alternating current stimulation (tACS) compared to transcranial direct current stimulation (tDCS) and placebo stimulation (sham) in patients with neurodegenerative ataxia to identify a possible rehabilitation protocol.
Talisman is global clinical study (20058N) in Multiple System Atrophy (MSA) patients. It will be conducted in two regions (China and the European Union [EU]). There will be common study objectives between China and EU regions (including prospective assessments for MSA disease progression during routine clinical visits for MSA), and this will allow for data (on common objectives) to be presented overall and stratified by region. There will also be study objectives specific to each region: 1) the clinical assessment for MSA (Unified MSA Rating Scale [UMSARS]) has not been validated using standardised methods in China, and so the psychometric properties of the Chinese version of the UMSARS will be examined in Chinese patients in this study; 2) there will be retrospective assessments and prospective protocol-mandated assessments (of Magnetic Resonance Imaging [MRI] and bloods biomarkers) and study visits for EU patients. Because some study objectives are the same for China and the EU (i.e., prospective assessments during routine clinical visits for MSA), and other objectives are specific to each region, there will be one regional protocol for China and one regional protocol for the EU; each describing the study assessments relevant to each region.
The aim of the project is to develop the first alpha-synuclein (a-syn)-specific PET tracer. The research phase will exploit ACI's proprietary MorphomerTM library and extensively optimized screening workflow. Promising PET-tracer candidates will be tested for their ability in detecting a-syn pathology in patients with a range of Parkinsonian conditions with different a-syn levels and distributions, comprising hereditary forms of PD and other synucleinopathies.
Treatment of sleep disturbances is mainly attempted through drug administration. However, certain drugs are associated with unwanted side effects or residual effects upon awakening (e.g. sleepiness, ataxia) which can increase the risks of falls and fractures. In addition, there can be systemic consequences of long-term use. An alternative method of manipulating sleep is by stimulating the brain to influence the electroencephalogram (EEG). To date, there have been mixed results from stimulating superficial areas of the brain and, as far as we know, there has been no systematic attempt to influence deep brain activity. Many patients suffering from movement disorders, such as Parkinson's Disease (PD) and Multiple Systems Atrophy (MSA), also have disrupted sleep. Currently, at stages where drug treatment no longer offers adequate control of their motor symptoms, these patients are implanted with a deep brain stimulation system. This involves depth electrodes which deliver constant pulse stimulation to the targeted area. A similar system is used in patients with severe epilepsy, as well as some patients with chronic pain. The aim of this feasibility study is to investigate whether we can improve sleep quality in patients with deep brain stimulators by delivering targeted stimulation patterns during specific stages of sleep. We will only use stimulation frequencies that have been proven to be safe for patients and frequently used for clinical treatment of their disorder. We will examine the structure and quality of sleep as well as how alert patients are when they wake up, while also monitoring physiological markers such as heart rate and blood pressure. Upon awakening, we will ask the patients to provide their subjective opinion of their sleep and complete some simple tests to see how alert they are compared to baseline condition which would be either stimulation at the standard clinical setting or no stimulation. We hope that our study will open new ways of optimising sleep without the use of drugs, in patients who are implanted with depth electrodes. We also believe that our findings will broaden the understanding of how the activity of deep brain areas influences sleep and alertness.
Diagnosing Parkinson's disease (PD) depends on the clinical history of the patient and the patient's response to specific treatments such as levodopa. Unfortunately, a definitive diagnosis of PD is still limited to post-mortem evaluation of brain tissues. Furthermore, diagnosis of idiopathic PD is even more challenging because symptoms of PD overlap with symptoms of other conditions such as essential tremor (ET) or Parkinsonian syndromes (PSs) such as progressive supranuclear palsy (PSP), multiple system atrophy (MSA), corticobasal degeneration (CBD), or vascular Parkinsonism (VaP). Based on the principle that PD and PSs affect brain areas involved in eye movement control, this trial will utilize a platform that records complex eye movements and use a proprietary algorithm to characterize PSs. Preliminary data demonstrate that by monitoring oculomotor alterations, the process can assign PD-specific oculomotor patterns, which have the potential to serve as a diagnostic tool for PD. This study will evaluate capabilities of the process and its ability to differentiate PD from other PSs with statistical significance. The specific aims of this proposal are: To optimize the detection and analysis algorithms, and then to evaluate the process against neurological diagnoses of PD patients in a clinical study.
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 Synuclein-One Study will be evaluating α-synuclein in patients with Parkinson's disease, Multiple System Atrophy, Dementia with Lewy bodies and Pure Autonomic Failure. Using a simple diagnostic test will improve clinical accuracy in diagnosing, earlier diagnosis, and distinguish between neurodegenerative diseases.