View clinical trials related to Dementia With Lewy Bodies.
Filter by:Dementia is the major cause of disability and dependency among older adults worldwide affecting memory, cognitive abilities and behavior, interfering with one's ability to perform daily lives activities. Although age is the strongest known risk factor for the onset of dementia, it is not a natural or inevitable consequence of aging. Dementia not only affects older people, since up to 9% of the cases appear before 65 years. The impact of dementia is highly important in financial terms also in human costs to countries, societies and individuals. Dementia is an umbrella term for several diseases, being Alzheimer's disease (AD) the most common form, contributing to 60-70% of cases. Other major forms include Lewy bodies Dementias (LBDs) and frontotemporal dementia (FTD). The role of the gastrointestinal microbiota in human brain development and function is an area of increasing interest and research. A large number of studies suggest that the gut microbiota can influence the brain, cognition and behavior of the patients, and also modulate brain plasticity, modifying brain chemistry via various mechanisms like neural, immune and endocrine Within these last two years some studies have showed differences in the microbiota of the AD patients from healthy controls. In this sense, increasing number of studies, most of them in animal models, support the notion that probiotics have significant benefit in maintaining homeostasis of the Central Nervous System. And recent studies try to replicate this finding in AD patients with controversial results. The main objective of DEM-BIOTA project is to improve the knowledge of the relationship between microbiota and dementia. DEM-BIOTA will explore the microbiota differences between dementias: AD, LBDs, that includes: Parkinson disease dementia (PDD) and Lewy Body Dementia (LBD) and FTD-behavioral variant, also in Mild Cognitive Impairment (MCI) to study the progression; in our context (Mediterranean diet and lifestyle) and characterize them in relation to neurocognitive and neuropsychiatric symptoms as well as patient functionality (dependency level). Moreover, the capacity of a probiotic compound in reverting or improving neurocognitive and neuropsychiatric symptoms and patient functionality in a sample of AD patients will be also studied.
The goal of the Speech Accessibility Project at the University of Illinois Beckman Institute (https://speechaccessibilityproject.beckman.illinois.edu) is to collect, annotate, and curate a shared database of speech samples from people with atypical speech, and share this data set with researchers at other organizations. This two-year project plans to collect 1,200,000 speech samples from 2,000 people, each of whom will provide 600 samples. In Year 1, the initial focus will be people with Parkinson's. In Year 2, four more etiologies of interest will be recruited: Amyotrophic Lateral Sclerosis (ALS), Cerebral Palsy (CP), Down Syndrome (DS), and Stroke. UIUC will build an open-source software infrastructure to collect annotated speech samples and share these data in an appropriately secure fashion with researchers from our partner technology companies (and eventually, other organizations as well) so that they can use these data to improve their automatic speech recognition algorithms. This project promotes diversity, equity, and inclusion by helping technology companies to fully support all types of speech, and it is also more efficient and less burdensome for these specialized patient populations to have one centralized "collector" of speech samples.
Assistive Technologies (ATs) can help people living with dementia (PwD) maintain their everyday activity. Still, there is a gap between potential and supply. Involving future users can close the gap. But the value of participation from PwD is unclear. The study examined smartwatch interactions from people with dementia or with mild cognitive impairment. Participants received "regularly" (n=20) or "intensively" (n=20) intrusive audio-visual prompts on a customized smartwatch to perform everyday tasks. Participants' reactions were observed via cameras. Users' feedback was captured with questionnaires.
The purpose of this study is to determine whether neflamapimod can improve learning skills, problem solving skills, and memory loss in people diagnosed with DLB. More specifically, improvement in verbal learning, memory, and attention, as well as cognitive and functional performance will be measured.
Cognitive Stimulation Therapy (CST) is an evidence-based non-pharmacological group therapy shown to benefit people with mild to moderate dementia. Despite increasing availability of CST worldwide, access remains limited in the United States. This pilot pragmatic trial will embed CST referral into the standard care protocol of health care settings that serve people living with dementia in the state of Connecticut, and evaluate online delivery of CST known as virtual CST (V-CST), and assess the acceptability of V-CST to people living with dementia. The study design is a two-armed randomized embedded pragmatic clinical trial (ePCT). The trial aims to determine if cognitive decline is experienced less commonly among V-CST participants than control group members based on three widely used measures of cognition, the Montreal Cognitive Assessment (MoCA), St. Louis University Memory Screen (SLUMS), and Mini Mental State Exam (MMSE). The study population will be persons with mild to moderate dementia identified by clinicians in standard care. From this population, subject participants will be randomized to intervention and control groups. Patients randomly assigned to the intervention group will be referred by their clinical providers to participate in V-CST, and those who accept the referral will participate in the intervention.
This study will enroll participants with idiopathic REM sleep behavior disorder (RBD) and healthy controls for the purpose of preparing for a clinical trial of neuroprotective treatments against synucleinopathies.
This a study to improve diagnosis of dementia with Lewy bodies with RT-QuIC in different biospecimens.
The Care Ecosystem is an accessible, remotely delivered team-based dementia care model, designed to add value for patients, providers and payers in complex organizational and reimbursement structures. Care is delivered via the phone and web by unlicensed Care Team Navigators, who are trained and supervised by a team of dementia specialists with nursing, social work, and pharmacy expertise. The evidence base to date suggests that the Care Ecosystem improves outcomes important to people with dementia, caregivers, and payers when delivered in a controlled research environment, including reduced emergency department visits, higher quality of life for patients, lower caregiver depression, and reduced potentially inappropriate medication use (Possin et al., 2019; Liu et al., 2022). The investigators propose a rapid pragmatic trial in 6 health systems currently offering the Care Ecosystem program in geographically and culturally diverse populations. The investigators will leverage technology, delivering care via the phone and web and using electronic health records to monitor quality improvements and evaluate outcomes while maximizing external validity. The investigators will evaluate the effectiveness of the Care Ecosystem on outcomes important to patients, caregivers, healthcare providers, and health systems during the pandemic. By evaluating the real-world effectiveness in diverse health systems that are already providing this model of care, this project will bridge the science-practice gap in dementia care during an unprecedented time of heightened strain on family caregivers, healthcare providers and health systems.
The primary objective of this study is to determine whether treatment with pimavanserin or quetiapine is associated with a greater improvement in psychosis when used in a routine clinical setting to treat hallucinations and/or delusions due to Parkinson's disease (PD) or dementia with Lewy bodies (DLB) - collectively referred to as Lewy body disease (LBD).
Dementia is associated with a variety of neurovascular and neurometabolic abnormalities. Traditional imaging techniques used to investigate such abnormalities, such as Positron Emission Tomography and functional Magnetic Resonance Imaging, are not always well tolerated, have expensive start up and running costs, and are limited with regards to the types of experiments that can be performed as they can be highly sensitive to movement, are noisy, and have physical restrictions. Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique which uses light in the near-infrared spectrum to detect relative changes in concentration of oxygenated and deoxygenated haemoglobin, and the oxidation state of Cytochrome C Oxidase. As such, NIRS can provide measures of brain oxygenation and metabolism. NIRS is less sensitive to movement, is well tolerated and has few contraindications. It is thus a promising candidate for use in clinics or in peoples' homes for monitoring dementia. In the present study, the investigators aim to use both dual-wavelength and broadband NIRS in a range of dementia subtypes, including Alzheimer's Disease and Dementia with Lewy Bodies, and severities, including Mild Cognitive Impairment, to identify how brain oxygenation and metabolism is altered in dementia and across various clinical subgroups. The investigators also aim to determine the relationship between brain oxygenation and metabolism in dementia, and use machine learning approaches to identify optical biomarkers for dementia.