View clinical trials related to Alzheimer Disease, Early Onset.
Filter by:This is a randomized, double-blind, sham-controlled, adaptive-design pivotal study of sensory stimulation in subjects with mild to moderate Alzheimer's disease. Approximately 530 subjects will be randomized to 12 months of daily treatment with either Active or Sham Sensory Stimulation Systems. Efficacy will be measured using the Alzheimer's Disease Cooperative Study- Activities of Daily Living (ADCS-ADL) assessment and a combined statistical test (CST) of the ADCS-ADL and the Mini-Mental State Exam (MMSE).
Two devices will be tested in this research: 1. Mantis Photonics' hyperspectral camera for non-invasive retinal examination (i.e., a hardware medical device under investigation). 2. Blekinge CoGNIT cognitive ability test (i.e., an assessment).
The purpose of this study is to generate preliminary data on the benefit of computerized cognitive training and Tai Chi- Qi Gong training in participants with Early-Onset Alzheimer's Disease. It is hypothesized that participants in the experimental training condition will perform better on outcomes related to cognition, functioning, and mood at follow-up compared to participants assigned to the active control condition.
Data collection based on this study will allow us to collect neurophysiological and cognitive data collected from in-ear EEG recordings of the Autosomal dominant alzheimer's disease population in Colombia
The study was conducted with 44 patients who were diagnosed with mild-to-moderate Alzheimer's Disease. Participants were divided into 2 groups intervention group and the control group. The intervention group was administered 20 grams of black mulberry concentrate per day for 12 weeks and the control group received no intervention thorough the study. Cognitive functions, antioxidant capacity, and inflammation markers were evaluated at the baseline and at the end of the 12 weeks.
The DETECT-AD study (stands for "Digital Evaluations and Technologies Enabling Clinical Translation for Alzheimer's Disease") is a new study designed to improve clinical trials for early Alzheimer's disease. DETECT-AD uses specialized home-based digital devices (electronic scale, electronic pill box, under-the-mattress sleep sensor, motion activity sensors, wrist watch activity tracker, driving sensor, and computer software) to see if the devices will improve clinical trial assessments. This 36- month-long study will simulate a clinical trial to determine how well the home system detects clinically meaningful changes. Participants in DETECT will receive a brain scan to assess their risk for developing Alzheimer's Disease. After the scan, homes will be outfitted with the devices*. Participants will be asked to simply go about their daily routines while data is collected in the background by the digital devices. The scientists will see if there is a change in the digital assessments in four key areas of life activity: mobility (walking speed), cognition (computer use), sleep (sleep times), and socialization (time spent out of home). Participants will be asked to take a daily multivitamin as a study 'drug' to mimic clinical trial conditions. Using these methods, the DETECT study will produce outcome measures that reflect real-world everyday function. Establishing the superiority of these novel methods compared to conventional methods (for example, exams in a clinic) will provide a potential new pathway for speeding the development of muchneeded new treatments for Alzheimer's
The researchers plain to build a large-scale, longitudinal, prospective cohort characterized by TCM dampness syndrome. With the biobank of this cohort the investigators want to find the causality between TCM dampness syndrome and clinical chronic diseases and a new way to treat clinical disease.
The objective of this qualitative study is to create a better understanding of patients' mental model of health data engagement interfaces and tools (such as Dynamic Consent). The researchers will focus especially on those people who - plausibly - require adjusted communication particularities and interaction modalities due to a cognitive impairment stemming from a neurodegenerative disease. Taking into account the specific characteristics of patients with dementia, the goal of this study is to investigate how to communicate according to patients' personal skills and capabilities and identify both the proper support mechanisms for engagement 2.0 consent as well as feedback mechanisms (return of research results). Through a focus group & interview setup, this study will discern design requirements and propose design recommendations for the (future) development of health data engagement interfaces.
The objective of this project is to conduct research and a pilot study to demonstrate the potential clinical impact and technical feasibility of a socially-assistive robot, called Ryan Companionbot (hereafter Ryan), for life improvement and intervention of persons with early stage Alzheimer's disease (AD) and AD related dementia (ADRD). Earlier phases of this project demonstrated the feasibility and scalability of using emotion recognition technology based on cutting-edge natural language processing and artificial intelligence technologies to improve mood and lessen depression symptoms of persons with early stage AD/ADRD. In this phase, the investigators will utilize an aesthetically pleasing updated Ryan (V2.0) with emotion recognition and natural language processing for enhanced conversations to address the needs of the individuals with AD/ADRD and their healthcare providers as well as to test the effectiveness of Ryan by comparing participants pre- and post-treatment by analyzing several blood biomarkers related to AD/ADRD and depression. The investigators will recruit thirty participants from local senior living facilities based on their cognitive performance as assessed by the Saint Louis University Mental Status (SLUMS) score. SLUMS is commonly used as a simple screening/assessment test in senior living facilities. As part of the recruitment, the investigators will show prospective participants a video recording of a previous senior volunteer interacting with Ryan to give new recruits an idea of the socially assistive robot technology.
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).