View clinical trials related to Nervous System Diseases.
Filter by:The goal of this clinical trial is to test a new digital therapeutic solution which combines a holistic, multidimensional rehabilitation program based on dance and music with an innovative motivational system (DANCEREX-DTx) in Chronic Neurological Disorders (Multiple Sclerosis and pre-Mild Cognitive Impairment - MCI/ MCI at risk of Alzheimer's Disease). The main questions it aims to answer are 1] efficacy of the digital therapeutic solution in terms of adherence, clinical/functional measures, quality of life and surrogate measures; 2] usability and acceptability of the system. Participants will be randomized (with an allocation ratio of 2:1:1) into the experimental group (DANCEREX - 12 sessions of multidimensional dance-based program integrated with an innovative motivational system), active comparator group (12 sessions of multidimensional dance-based program) and placebo group (12 sessions of educational program). Researchers will compare the experimental group to other two groups to see if a digital therapeutic solution integrating a multidimensional dance-based program and motivational system is effective in increasing adherence to rehabilitation treatment.
This project focuses on motor development, muscle growth and muscle activity. Using advanced, instrumented tests such as , the link between muscles and the movement characteristics will be studied. In addition, the evolution of these neuro-biomechanical determinants during the first year of life will be investigated. The examinations are planned for a group of high-risk infants (e.g. premature birth, cases of asphyxia, etc.) compared with a group of infants with typical development.
The aim of this study was to compare the discriminative power of commonly used scoring systems, namely the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) in the intensive care unit of a tertiary care hospital.
Functional seizures are common and harmful. They look like epileptic seizures but are not caused by the excess electrical discharges in the brain that arise in epilepsy. Our understanding of the mechanisms that give rise to functional seizures is limited, and for this reason the development of novel treatments for functional seizures is also limited. Recent research by our and other groups has shown that interoception may play an important role in the development of functional seizures. Interoception refers to the process by which the nervous system senses, interprets and integrates information from inside the body. Research has shown that altered interoception is linked to functional seizures. We have shown that patients with functional seizures have a reduced ability to accurately identify signals from within their bodies, such as their heartbeats. The worse their ability, the greater their seizure severity and higher their levels of other unwanted symptoms. In separate research other groups have shown that interoceptive training, that is actively training an individual to better recognise signals from their body, can reduce levels of anxiety and the levels of unwanted symptoms. In this study we therefore plan to explore the feasibility of interoceptive training in patients with functional seizures.
Research purpose 1. Combined with multi-omics data and advanced data mining methods, we explored the pathogenesis and potential application pathway of intestinal microbiome mediated by specific cardiovascular diseases (such as idiopathic ventricular tachycardia, stenosis after coronary artery stenting injury, etc.) and nervous system diseases (such as carotid atherosclerosis, moyamoya disease, etc.). 2. The secondary goal of this study is the construction of risk prediction model. Based on the pathogenesis identified by multi-omics association analysis, detailed dietary information and clinical information related to cardiovascular and nervous system diseases, the risk of cardiovascular and nervous system diseases was assessed and the disease risk model was constructed. 3. Based on the key genes and microorganisms excavated, disease-related machine learning models can be built, and models can be built to prevent and treat diseases. Research background Cardiovascular and nervous system diseases such as arrhythmias (atrial fibrillation, ventricular tachycardia, ventricular fibrillation, postoperative vascular stenosis injury, etc.), heart failure, atherosclerosis (coronary heart disease, stroke, peripheral vascular disease, carotid atherosclerosis, etc.), epilepsy, moyamoya disease, etc., are currently leading to the main diseases affecting the health and death of residents in China. Through the unremitting efforts of many scientists, the research on the association between intestinal flora and cardiovascular diseases (ventricular tachycardia/atrial fibrillation, carotid atherosclerosis, etc.) and nervous system diseases (Parkinson's disease, epilepsy, carotid atherosclerosis, etc.) has made breakthrough progress. However, the study of gut microbiota is still in its infancy, and it is not possible to deeply understand the complex regulatory processes between heart disease and nervous system diseases and gut microbiota, involving a large number of host genes, host metabolites, and associated bacteria and bacteria-related metabolites. Based on multi-omics data, the data integration method combined with machine learning analyzes the connection between cardiovascular and nervous system and gut microbes, helping to deepen the research on the mechanism related to heart disease and nervous system under the regulation of gut microbes and providing new ideas for the prevention and treatment of related diseases. This study will also promote the implementation of clinical interventions with precise flora and provide new ideas for the treatment of cardiovascular diseases and neurological diseases.
Introduction: Most cardiovascular diseases (CVD) can be prevented and controlled by adopting lifestyle changes, such as regular physical exercise and nutrition. Resveratrol and beverage extract promote beneficial health effects due to their nutritional properties. Objective: to analyze the effects of resveratrol supplementation and withdrawal extract on post-exercise recovery in coronary heart disease patients. Methods: men diagnosed with ischemic coronary artery disease will undergo four exercise protocols consisting of 30 minutes of aerobic exercise on an ergometric treadmill, with 5 minutes of warm-up, intensity of 30% of the heart rate reserve (HRR), followed by 25 minutes at intensity 60% of FCR and for a final 30 minutes of recovery in the supine position. Before each exercise protocol, all volunteers will consume: 500 mg of placebo (starch), or 500 mg of beetroot, or 500 mg of resveratrol and will also consume resveratrol and drink (500 mg each) 30 minutes before exercise. , the order of each supplementation will be done randomly. Cardiorespiratory parameters and heart rate variability (HRV) will be assessed at different times throughout the experimental procedure. To analyze the moments (rest versus recovery), the Bonferroni post-test will be used for parametric distribution or the Dunn post-test for non-parametric distribution. Statistical significance will be calculated at 5% for all analyses.
The goal of this clinical trial is to learn about the application of domestic PET/MR in major brain diseases. The main questions it aims to answer are: - Overcome the bottleneck of early accurate diagnosis and treatment in major brain diseases clinical practice. - Promote the clinical application of domestic PET/MR, enhance international competitiveness. Participants will have a PET/MR scan of the brain.
The study tests the effect of the ATNC MDD-V1 on Alzheimer patients' cognitive function. The ATNC MDD-V1 uses non-invasive stimulation of both magnetic and cognitive training.
The main goal of this project is to better understand the role of oxytocin and Interoception in FND. More specifically oxytocin's association with precision weighing, prediction errors and priors in the interoceptive domains will be investigated. To this end, several methods will be employed: analysis of interoceptive accuracy and sensibility (interoceptive tasks and questionnaires), biomarkers of oxytocin (peripheral, endogenous oxytocin), genetic oxytocin markers (such as allele-frequency in the oxytonergic receptor gene), epigenetics (methylation rates of genes related to oxytocin), neuroactivity (EEG).
Psychological distress (anxiety and depression) is common in and experienced differently by people living with long-term health conditions (LTCs). Being able to measure whether psychological distress is related to living with a LTC would allow researchers and clinicians to provide interventions specifically tailored to the challenges of living with a LTC and therefore provide the most appropriate support for these patients. Such a measure would also be useful in research to identify the presence of illness-related distress in different patient groups. This project will therefore create a new measure of illness-related distress that has applications for both research and clinical practice. This will involve the psychometric validation of the new illness-related distress measure to test how valid and reliable the measure is. The aim of the project is to provide initial validation of the Illness Related Distress Scale in a community sample, recruited through online platforms. The objective of the study is to gather initial validity and reliability data for the scale.