View clinical trials related to Alzheimer Disease.
Filter by:The purpose of the study is to investigate the efficacy of cortical gamma oscillation on visual sensory processing and cognitive function in Alzheimer's Disease (AD) patients by combining a therapeutic sensory stimulation device capable of evoking 40-Hz gamma oscillation via non-invasive visual and auditory stimulation with pre-established markers of cortical network activity, i.e., electroencephalography (EEG) and event-related potentials (ERP), to evaluate the applicability of the 40-Hz multimodel sensory stimulation as a novel therapeutic approach for treatment of AD patients.
This study will examine the overall capacity of people with Alzheimer's disease learning fall-resistant skills from perturbation training.
This study aims to validate the safety and impact of transdermal trigeminal electrical neuromodulation(Cefaly) on mild cognitive impairment patients with insomnia on brain functional and structural connectivity as well as sleep parameters evidenced by polysomnography and sleep surveys, with consideration for amyloid positivity and brain-derived neurotrophic factor .
Cognitive disorders include such things as memory disorders, mild cognitive impairment, and Alzheimer's disease (AD). The purpose of the study is to learn more about whether a dietary citicoline supplement will improve sleep and cognition. Sleep disturbances currently afflict approximately 25-44% of those with AD, resulting in decreased quality of life for those with AD and their caregivers and are a major driver of institutionalization. Previous studies have tested this dietary supplement in Alzheimer's disease and shown that citicoline may improve cognitive decline. The research team would like to see if citicoline will also improve sleep. The citicoline that will be provided is made by Kyowa Hakko Pharma Chemical Company. This dietary supplement has been tested for Alzheimer's disease and found to be well tolerated. Citicoline has previously been used safely in other Alzheimer's disease populations at the same dosage.
Global dementia prevalence is rising. Alzheimer's disease (AD), the most common cause, has devastating effects on people's quality of life. AD has a preclinical (pre-AD) period of 10-20 years when brain pathology silently progresses before any cognitive symptoms appear. Current tests for pre-AD are invasive, costly and unsuitable for screening at population level. Similar to screening for pre-diabetes and carcinoma in situ, it is important to detect AD at the preclinical stage in order to offer early interventions before the pathology progresses to the irrerversible degenerative stage. In the study, research will develop a new scalable test (TAS Test) by combining two innovative ideas: hand-movement tests to detect pre-AD >10 years before cognitive symptoms begin; and computer vision so people can "self-test" online using home computers. This unique approach builds on recent discoveries that hand-movement patterns change in pre-AD. The research team will use exquisitely precise computer vision methods to automatically analyse movement data from thousands of participants, and combine this with machine learning of overall motor-cognitive performance. The project team has access to 3 well-phenotyped cohorts, >10,000 existing participants and a cutting-edge assay for a blood AD biomarker, ptau181. The research team will develop a TAS Test algorithm to classify hand-movement and cognitive test data for pre-AD risk (p-taua181 levels) and determine TAS Test's precision to prospectively predict 5-year risks of cognitive decline and AD.
This is an open-label, biomarker-driven basket trial of baricitinib in people with subjective cognitive disorder, mild cognitive impairment, Alzheimer's disease (AD), Amyotrophic lateral sclerosis (ALS), or asymptomatic carriers of an ALS-related gene, such as a hexanucleotide expansion in the C9ORF72 gene, with evidence of abnormal inflammatory signaling in cerebrospinal fluid (CSF) at baseline. Each participant will be treated with baricitinib for 24 weeks; no placebo will be given. Participants will receive baricitinib 2 mg per day by mouth for the first 8 weeks and baricitinib 4 mg per day by mouth for the remaining 16 weeks. This proof of concept trial will ascertain whether baricitinib at 2 mg per day, 4 mg per day, or both reaches therapeutic levels in the CSF and suppresses inflammatory biomarkers associated with type I interferon signaling among the study participants.
Alzheimer's disease (AD) may currently be diagnosed using molecular biomarkers in cerebrospinal fluid (CSF) and/or positron emission tomography (PET). These diagnostic procedures are highly accurate, but the high cost and low availability hamper their feasibility. Recently, ultrasensitive blood tests predicting Alzheimer pathologies in the brain have been developed. These tests have a reliable ability to differentiate AD from other neurodegenerative disorders and identify AD across the clinical continuum with high sensitivity and specificity in research cohorts with a high prevalence of AD. This project will assess the predictive value of these tests in a general practice population. The hypothesis is that the actual blood panel will have high positive predictive value for a diagnosis of Alzheimer's disease in the primary health care setting.
The objective of this study is to demonstrate the impact of a socially assistive robot system on reducing apathy among cognitively impaired older adults residing in long term care facilities. Earlier phases of this project demonstrated the feasibility and acceptability of the robotic system. First, investigators will improve the social robotic interaction architecture through additional software development, enhance its versatility, and make it easy for non-experts to run. Second, 188 participants will be randomized to either usual activity programs at the long term care facility, or the usual activity programs plus the robotic activities. Researchers will examine the effect on apathy and also plan on examining underlying individual and facility factors that influence the impact of the robotic activities.
This study aims to develop and validate a sensitive and non-invasive eye-tracking software application. This study will obtain participant responses to brief cognitive tests designed to evaluate several key functions known to be affected by Alzheimer's Disease and non-invasive eye movement measurements in response to visually presented stimuli during specifically designed eye-tracking tests. The study data will be used to develop machine learning algorithms and validate a software application intended to track the progressive component of Alzheimer's Disease and associated cognitive changes.
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.