Active clinical trials for "Alzheimer Disease"

Patients with mild cognitive impairment aged 50-80 years old were recruited in Shiyan City, Hubei Province, and divided into intervention group and placebo group. They were given yeast β-glucan capsules and starch capsules, respectively, for 6 months, in order to explore whether yeast β-glucan can improve cognitive function of patients with mild cognitive impairment by regulating gut microbiota and its metabolites.

The goal of this study is to learn about ADRD prevalence within the Samoan population. Participants will be administered a series of cognitive assessments to determine cognitive status and a population-based prevalence of Mild Cognitive Impairment (MCI) and ADRD. Blood samples will also be collected from the participants for genetic and plasma biomarker analysis.

To collect, preserve, and/or distribute annotated biospecimens and associated medical data to institutionally approved, investigator-directed biomedical research to discover and develop new treatments, diagnostics, and preventative methods for specific and complex conditions.

Alzheimer's disease dementia (AD) is a debilitating and prevalent neurodegenerative disease in older adults globally. Cognitive impairment, a hallmark of AD, is assessed through verbal tests that require high specialization, and while accepted as screening tools for AD, general practitioners seldom use them. AD can be diagnosed with expensive, invasive neuroimaging and blood tests, but these are usually conducted when cognitive functioning is already severely impaired. Thus, finding a novel, non-invasive tool to detect and differentiate mild cognitive impairment (MCI) and AD is a prime public health interest. Self-figure drawings (a projective tool in which individuals are asked to draw a picture of themselves), are easy to administer and have been shown to differentiate between healthy and cognitively impaired individuals, including AD. Convolutional Neural Network (CNN) (a type of deep neural network, applied to analyze visual imagery) has advanced to assess health conditions using art products. Therefore, the proposed study suggests utilizing CNN-based methods to develop and test an application tailored to differentiate between drawings of individuals with MCI, AD, and healthy controls (HC) using 4,000 self-figure drawings. This

The present project is an evolution of the previous RIN 2019 study aimed at validating and standardizing the Uniform Data Set (UDS) for dementia, a battery of tests exploring various cognitive domains (memory, language, praxis, executive functions) and involving partial tablet-based computerization for data collection. In the present study, a UDS-based instrument that can be used in remote examiner-assisted telematic administration will be validated. This will be followed by standardization of the same on a sample of healthy subjects.

CSF Alzheimer's disease (AD) biomarkers are the only one that reflect both Aβ and tau pathologies. There is increasing evidence for the presence of AD abnormalities in the retina of AD patients. Recent studies showed that they can be detected in living patients. Thus, retinal AD-linked abnormalities might be used as alternative diagnostic biomarkers for AD. FIREBALZ study aims at identifying and validating retinal biomarkers for the diagnosis of Alzheimer's disease. The study will include 160 patients in whom LP is indicated for assessment of CSF AD biomarkers according to French health authority (HAS) recommendations. Those patients will undergo a detailed neuro-ophtalmologic evaluation including retinal layers thickness evaluation (optical coherence tomography). Univariate and multivariate analyses will be performed to test diagnostic properties of retinal parameters as compared to current diagnostic criteria including CSF biomarkers and logistic regression models will be used.

The KBASE2 is the second phase of the KBASE project, which consists of roll-over participants from the first phase of the KBASE as well as newly enrolled participants with varying degrees of cognitive functions (e.g. individuals with normal cognition, mild cognitive impairment, or AD dementia). In addition to the aims of the first phase of the KBASE, the KBASE2 will focus on new data collection and integrative analysis of the rich structural, functional, and molecular neuroimaging data in relation to whole genome sequencing and other -omics. Network analysis of disruption in brain connectivity in relation to clinical status and AD biomarker profiles also will be conducted.

The Alzheimer's Prevention Registry (www.endALZnow.org) will collect contact and demographic information on individuals. The objective is to provide information the latest news and advances in Alzheimer's prevention research, and to inform enrollees about research studies in their community. Enrolled individuals will receive regular email communications. As research studies become available, individuals will be notified via email with information as to how proceed should they be interested. Registry enrollees are under no obligation to participate in a research study. Study opportunities may include surveys, healthy lifestyle interventions (e.g., diet, exercise), memory & thinking tests, brain scans, and investigational drug trials. To join the Registry, please visit www.endALZnow.org

A large series of recent studies have documented the frequency of the slowing of the action in brain diseases, especially vascular and neurodegenerative diseases. In stroke, the predictive value of action slowing at the acute phase for predicting post-stroke functional outcome remains poorly investigated. In neurodegenerative diseases, the diagnostic relevance of the slowing at the prodromal stage remains unknown and this diagnostic requires new tests. Finally, in terms of anatomical determinants, few studies have studied the determinants of action slowing. The objectives of this project are to Determine the diagnostic and prognostic value of action slowing assessed with new quick tests in patients with acute stroke (Neurovascular Unit) and cognitive neurodegenerative disorders (Alzheimer Disease (AD), Lewy Body disease (LBD), Fronto Temporal lobar degeneration (FTLD), Cortico Basal Degeneration (CBD) and Progressive Supra Nuclear Palsy (PSNP)) and to define the lesion determinants with VBM and VLSM

PLATA aims to develop an algorithm to identify vocal biomarkers of Alzheimer's dementia. Using data collected as part of routine care, speech patterns will be compared to known biomarkers of Alzheimer's disease, such as amyloid 1-42 and p-Tau in CSF (cerebrospinal fluid). If biomarkers of speech can be identified in Alzheimer's disease, it is possible that patients and research participants will no longer need to undergo need to undergo the intensive and invasive baseline biomarker methods currently used, such as lumbar punctures and PET scans.