Active clinical trials for "Dementia"

The aim of this study is to retrospectively evaluate and describe the use of antipsychotics among participants enrolled in the Program of All-inclusive Care for the Elderly (PACE), a community-based practice setting.

This project aims to leverage existing data from a large observational prospective study on dementia, the Three-City study, to investigate the relationship between intakes of polyphenols and the risk to develop dementia in the 12 years following dietary assessment.

It is commonly admitted that social cognition impairment, like deficit in facial emotion recognition or misinterpretation of others' intentions (Theory of Mind), are associated with social behavior disorders. This kind of disorders are observed in Fronto-Temporal Dementia (FTD), Alzheimer's Dementia (AD) and Parkinson's Disease (PD), with severe deficits in FTD and lighter deficits in AD and PD. One explanation might be that patients apply inappropriate visual exploration strategies to decode emotions and intentions of others. This study aims to test this hypothesis and further to analyse whether different patterns emerge from these pathologies.

The purpose of the Daily Study of Caregiving Relationships and Health is to learn how caregiving relationships and social connectedness are associated with dementia caregivers' health, health behaviors, and diurnal patterns of salivary cortisol. This is a pilot study wherein the purpose is to test the feasibility and acceptability of study protocols.

This Doctor of Philosophy (PhD) project is part of a larger project on potentially modifiable risk factors for dementia in a life course perspective, with an overarching aim to improve prevention of dementia and thereby potentially relieve patient and caregiver distress and decrease societal load. The present PhD project will concentrate on confirming knowledge of HI as an independent risk factor for dementia and exploring potentially causative factors to explain this relationship.

Capturing the earliest stages of Dementia especially Alzheimer's Disease (AD) is a great challenge. Until now the NINCDS-ADRDA and the DSM criteria for AD were largely used as diagnostic standards in research. However, the research on AD progresses and some biomarkers have been recently suggested to improve the diagnostic criteria of AD, such as cerebrospinal fluid markers, neuroimaging with Positon Emission Tomography (PET) or Magnetic Resonance Imaging (MRI).

The overall purpose of this research is to learn how Parkinson's disease affects thinking and memory in everyday life. Participation will involve thinking tests, questionnaires and interviews about thinking and activities in everyday life.

The proposed study is designed to evaluate the performance of the COGNISION™ System as a tool to assist physicians in diagnosing Alzheimer's Disease (AD) in real-world clinical settings. The design of this study is guided by two overriding factors: 1) to optimize the performance of the event related potentials (ERP) classifiers, the subjects making up the training sets must be well characterized as to their clinical diagnosis, and 2) all ERP tests must be performed and reproduced in real-world clinical settings.

Late-life depression (LLD) and cognitive impairment (CI) are significant public health problems among older adults, and their co-occurrence markedly increases disease burden and dementia risk. This highlights the importance of identifying and treating CI in LDD; however, current lack of reliable prognostic information from clinical, neuroimaging, and genetic data impedes research on targeted prevention and treatment. Two critical ways to close current knowledge gaps in predicting cognitive diagnostic outcomes of LLD involve: 1) increasing the number of diagnostic cases available to existing studies, and 2) using those studies to identify clinical, imaging, and genetic predictors that will improve future diagnosis. We intend to do both in the current proposal. We plan to study the following SPECIFIC AIMS: Aim 1: Identify baseline clinical-behavioral predictors of cognitive diagnostic outcomes in LLD. Working hypothesis: During acute LLD, CN will be associated with more frequent EOD and higher negative life stress than PCI and AD; PCI will be associated with EOD and higher frailty than CN and AD; AD will be associated with LOD, greater appetite loss, lower anxiety, and greater memory impairment than CN and PCI. Aim 2: Use multimodal neuroimaging at baseline to identify patterns associated with cognitive diagnostic outcomes in individuals with LLD. Working Hypothesis: CN will be associated with greater white matter integrity compared with PCI and AD; PCI will be associated with lower white matter integrity and network abnormalities in anterior cingulate cortex compared with CN; AD will be associated with lower hippocampal volume compared with CN and PCI. Aim 3: (exploratory): Explore interrelationships among candidate genes, cognitive diagnostic outcomes, and proposed phenotypic components relevant to LLD. Exploratory Hypotheses: 1) COMT val158met polymorphism will be associated with CN; 2) 5-HTTPRL and APOE ε2 polymorphisms will be associated with frailty; 3) genetic variation (SNPs) in TPH2 and AGTR1 will be associated with risk factors of AD: LOD, episodic memory, hippocampal volume, and appetite loss.

Type 2 diabetes (T2D) predisposes individuals to neurodegeneration and dementia, including Alzheimer's Disease (AD); yet the link between metabolic and neurodegenerative disorders remains unknown. Here, the investigators will study a well-defined human population with increased prevalence and early onset of both T2D and AD, individuals of Mexican descent living in South Texas. The study will begin to explore the possibility that disruption of the structure of the bacterial community residing in the gut in type 2 diabetic individuals of Mexican descent living in South Texas is directly related to the increased prevalence of early onset AD in this population. In this study, the investigators will perform gene sequencing on DNA isolated from fecal samples to identify and compare the populations of bacteria living in individuals with T2D versus non-diabetic controls. The investigators will analyze the findings to determine if the community structure of the gut microbiome of individuals of Mexican descent with T2D is significantly altered compared to that of non-diabetics within the same population. The investigators' findings could lead to the identification of early indicators of dementia onset as well as novel therapies for treating metabolic and neurodegenerative diseases.