Active clinical trials for "Alzheimer Disease"

The most common form of dementia is Alzheimer's disease, with 900,000 people affected in France in 2015 and a forecast of 1.3 million in 2020. As a consequence of their advanced age, dementia patients often suffer from pain, mainly musculoskeletal or neuropathic pain. However, the exact prevalence of pain in dementia is underestimated. Indeed, several studies indicate that people suffering from dementia report less pain. This phenomenon is all the more true as the stage of dementia is advanced. In addition, people with dementia receive less pain medication than people without cognitive impairment in similarly painful conditions. Hetero-evaluation alone also seems insufficient, with the result that pain is under-treated compared to patients without cognitive impairment. Better pain screening is a major challenge and self-assessment tools should be favoured as a first line of treatment, even for patients with cognitive impairment. suffering from dementia. The investigators propose in this work to evaluate the variation of vegetative parameters that accompany a painful stimulus. These variations can be recorded at the cardiac, vascular, pupillary or skin conductance level.

The SNIFF 3-Week Aptar Device study will involve using a device to administer insulin or placebo through each participant's nose or intra-nasally. Insulin is a hormone that is produced in the body. It works by lowering levels of glucose (sugar) in the blood. This study is measuring how much insulin the device delivers. In addition, this study will look at the effects of insulin or placebo administered intra-nasally using an intranasal delivery device on memory, blood, and cerebrospinal fluid (CSF).

The most significant impact of this project is to propose for the first time a novel generative adversarial network (GAN), as one kind of deep learning architecture, to automatically generate synthetic PET images reflecting tau deposition, from brain DTI images. If successful, this framework will become the most state-of-the-art approach to simulate the stereotypical pattern of intracerebral tau accumulation and distribution in vivo. Synthetic tau-PET images via DTI, possessing overwhelming superiority in radiation-free, non-invasiveness and cost-effectiveness, will potentially serve as one of alternative modalities of PET in detecting tau-load and probably outperform PET on accessibility, generalizability, and availability in future, making it much more attractive in clinical application. A big conceptual shift may occur preferring a fire-new tau-PET simulated via DTI. The DTI data-driven deep learning framework to be created in this project will constitute an accurate, robust, clinically applicable and explainable tool to efficiently categorize the subjects into tau-burden positive and tau-burden negative cases, which will undoubtedly contribute to both clinical and research activities.

Alzheimer's disease (AD) is the most common cause of cognitive impairment, and its diagnosis requires a comprehensive analysis of the results of medical history, neuropsychological evaluation, imaging and laboratory tests. Among them, it has been widely recognized that amyloid PET imaging is used in the early diagnosis of AD, tau protein PET imaging is used in the assessment of the progression of AD, and the glucose metabolism PET imaging is used in the assessment of nerve damage. MRI can provide structure, blood perfusion, neural network connection damage and other information through multi-sequence scans. With the help of the PET/MR multi-modal imaging platform and multi-probe imaging technology, it can provide more sensitive and accurate imaging information for early diagnosis and disease assessment of AD, and provide a basis for clinical treatment decision-making.

This study is a phase 2a randomized double-blind, placebo-controlled, study, in mild-to-moderate Alzheimer's disease, of the oral investigational drug MW150, a p38alphaMAPK kinase inhibitor. The primary goals of this study are to investigate the safety and tolerability, and drug movements in the body. The secondary goals of the study are to investigate the effects of the drug on cognitive performance, activities of daily living, and behavior, and the biological effects of the drug on blood biomarkers.

The Multidisciplinary Expert System for the Assessment & Management of Complex Brain Disorders (MES-CoBraD) is an interdisciplinary project combining Real-World Data (RWD) from multiple clinical and consumer sources through comprehensive, cost-efficient, and fast protocols towards improving diagnostic accuracy and therapeutic outcomes in people with Complex Brain Disorders (CoBraD), as reflected in Neurocognitive (Dementia), Sleep, and Seizure (Epilepsy) disorders and their interdependence. It brings together internationally recognized experts in medicine, engineering, computer science, social health science, law, and marketing and communication from across Europe, and combines clinical information and scientific research in CoBraD with technical innovation in secure data-sharing platforms, artificial intelligence algorithms, and expert systems of precision and personalized care, with a primary focus on improving the quality of life of patients, their caregivers, and the society at large. It leverages RWD from diverse CoBraD populations across cultural, socioeconomic, educational, and health system backgrounds, with special attention on including vulnerable populations and minorities in an equitable manner and engaging key stakeholders to maximize project impact.

The overarching goal of this project is to use [C-11]UCB-J to obtain spatial information on neuronal synapse abundance and inform Alzheimer's disease (AD) progression. The investigators propose to collect longitudinal amyloid, tau, and Synaptic vesicle glycoprotein 2A (SV2A) positron emission tomography (PET) in participants in the Wisconsin Alzheimer's Disease Research Center (ADRC) and Wisconsin Registry for Alzheimer's Prevention (WRAP) across the clinical stages of AD, including cognitively unimpaired biomarker negative, unimpaired biomarker positive, mild cognitive impairment (MCI), and dementia due to AD.

There is a compelling need for a noninvasive imaging approach to measure S1P1 in both preclinical models of diseases and humans. PET measures of S1P1 expression is critical for elucidating the pathophysiological roles of S1P1 in neuroinflammation and neurodegeneration. The relevance of S1P1 in clinical disease has become readily apparent with the FDA approval of the S1P1 modulator FTY720 (fingolimod) for treating relapsing-remitting MS (RR-MS). MS is a chronic autoimmune, inflammatory disease caused by lymphocytic infiltration that leads to demyelinating neurodegenerative disease. The primary objective of the initial IND study is to determine the safety of the [11C]-CS1P1 for PET imaging of S1P1 expression. The investigators will first complete whole-body PET dosimetry studies in healthy adult normal volunteers to calculate the actual radiation dose of each human organ and determine the allowable dose for a human subject when receiving a single dose for a PET scan. Second, complete imaging of the brain and lymph nodes of the neck in a wide range of ages of healthy adult normal control participants, both male and females to characterize [11C]-CS1P1 uptake in the brain and radiolabeled metabolite will be completed. Finally, a comparison of the normal control participants to patients with multiple sclerosis (MS) will be completed.

Electrical activity in the brain known as "gamma" brainwaves help connect and process information throughout the brain. These gamma waves are diminished in Alzheimer's disease. New research in Alzheimer's disease mouse models shows that exposure to light flickering at the rate of 40 flashes per second or 40Hz increased gamma brainwaves and led to clearing of beta amyloid plaques in the brain, a key abnormality in Alzheimer's disease. This project will test the ability of a novel iPad App (AlzLife https://www.alz.life/) that delivers light therapy at 40 Hz combined with cognitive therapy to improve cognition, function, and quality of life in Alzheimer's disease.

Alzheimer's disease (AD) and Vascular dementia (VaD) have become common diseases in the elderly. The burden of dementia is rising in China, with major medical, social and economic impacts. To address this important public health problem, cohort study on elderly cognitive disorders should be carry out. The methods of early prevention, early diagnosis and early treatment the cognitive disorders in elderly should be found to reduce the burden of the social and economic issue due to dementia. At present, the international corresponding guidelines have taken gene and brain imaging biomarkers as important indicators of dementia pathogenesis research, accurate diagnosis and targeted intervention. Based on the above understanding, the study carry out the population cohort study based on accurate diagnosis and construct the high standard information and sample bank. The study will establish the standard and quality system of geriatric cognitive disorders cohort study (unified standards and norms). The study will integrate the standard biological samples stratified acquisition function module (homogeneity and precision) of elderly cognitive disorders, and complete the construction of biological samples bank and clinical diagnosis and treatment information database. The study will apply and develop brain structural and pathological imaging technology to support precision diagnosis of senile cognitive disorders. The study will evaluate whether peripheral nerve degeneration can predict central nervous system degeneration based on the large cohort of elderly study. In addition, The study will make an effective supplement the sample bank construction of Shanghai Mental Health Center.