View clinical trials related to Alzheimer Disease.
Filter by:Alzheimer's Disease (AD) is the most common form of dementia and may contribute to 60-70 % of all cases. An early, accurate diagnosis of AD will become increasingly important with disease-modifying therapies. Different types of fluid and neuroimaging biomarkers are available for the early detection of AD. However, implementation of routine use of these biomarkers in clinical settings is held back due to the risk of overdiagnosis, increased cost and invasiveness of the assessment method. Therefore, novel biomarkers are needed beyond the amyloid and tau pathologies for the early diagnosis of AD. Neuropsychological paper and pencil tests can detect AD and discriminate between different clinical stages. Since medial temporal lobe structures, including the hippocampus and entorhinal cortex (EC), are involved in spatial navigation and degenerate in the earliest stages of AD, spatial navigation can be considered as an early cognitive biomarker of the disease. Nonetheless, the measurement of spatial navigation needs further improvement since the current paper and pencil tests lack ecological validity. Therefore, the test environment should be set up in immersive Virtual Reality (iVR). Dr. Andrea Castegnaro (Space and Memory Lab of University College of London) developed the Allocentric Spatial Update Task (ALLO task), which is an iVR task measuring egocentric and allocentric spatial abilities. Therefore, the main objective of this study is to evaluate whether allocentric and egocentric spatial navigation, measured by the ALLO iVR task can be considered a cognitive biomarker for the early detection of AD. In addition, the investigators want to report on the neuronal correlates of both spatial navigation strategies. Through the Department of Neurology of the University Hospital of Ghent, which has a large cognitive disorders clinic, patients with mild cognitive impairment and mild Alzheimer's dementia will be recruited. Participants will undergo standard clinical assessment, including a neuropsychological examination, Magnetic Resonance Imaging, a 18F-fluorodeoxyglucose PET and a Lumbar Puncture. In addition, participants will also be asked to undergo Tau PET imaging, Amyloid PET imaging and complete the ALLO iVR task. Healthy controls will also be recruited and have to undergo the same investigations, except for the amyloid PET and lumbar puncture.
Previous studies have shown that repetitive transcranial magnetic stimulation (rTMS) can improve cognitive function in Alzheimer's disease (AD), but studies on the improvement of sleep disorders in AD are limited. The aim of this study was to evaluate the effects of rTMS on sleep and cognition in patients with mild-to-moderate Alzheimer's disease (AD).
This is an open label study to treat dominantly inherited Alzheimer's disease (DIAD) mutation carrier participants from the DIAN-TU-001 gantenerumab Open Label Extension (OLE) period with lecanemab to determine the effects of amyloid removal on age of onset and clinical progression compared to external controls, if amyloid plaque as measured by amyloid PET can be fully removed in DIAD, and the effects of amyloid removal on biomarkers of disease progression.
Inflammation could provide a new focus for therapeutic intervention. In this study, we will measure blood and cerebrospinal fluid (CSF) inflammation biomarkers and compare them to measurements of brain glial activation obtained by positron emission tomography (PET). In addition, we will determine the effect of low-dose interleukin-2 (IL-2) immunotherapy, given over 22 weeks, on these inflammation biomarkers.
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive dysfunction and behavioral impairment. It is currently the most common type of dementia in the old age. At present, the clinical treatment of Alzheimer's disease is expensive and has side effects, so it is very important to explore new methods of treatment for AD. Investigators designed a prospective, randomized, double-blinded and placebo-controlled trial to investigate the effect of transcranial alternating current stimulation (tACS) on cognitive function in AD patients and to assess the biological effectiveness of the treatment.
This project aims to understand the feasibility, acceptability and real-world evidence of a novel UK-based remote brain health clinic for patients with mild cognitive impairment (MCI). A timely and accurate diagnosis of dementia is a priority in the UK and MCI is indicative of future risk of cognitive decline. An accurate etiological diagnosis of MCI (MCI-subtyping - distinguishing those who are likely to go on to develop dementia and those who are not) is vital for treatment planning. Whilst the assessment of molecular biological markers (biomarkers) for etiological diagnosis of MCI and Alzheimer's disease (AD) is increasingly recommended and employed internationally, the uptake is low in UK memory clinics. The Brain Health Clinic (BHC) has been specifically designed as a state-of-the-art diagnostic centre for those with MCI. Procedures will include a range of clinical and biomarker assessments, with molecular biomarkers based on lumbar puncture and cerebrospinal fluid (CSF) analysis. Additionally, the clinic will employ remote neuropsychiatric assessments using digital and telephonic methods. This allows for regular contact, whilst adhering to changes in clinical practice and national guidance due to the COVID-19 pandemic. Our overarching objectives are to first establish the acceptability and feasibility of the remote Brain Health Clinic and its novel clinical and biomarker assessment programme. Then secondly establish the impact of care under the Brain Health Clinic on i) care management decisions (e.g. follow-up and treatment planning); ii) time to etiological diagnosis of MCI (MCI-subtyping); and iii) time to diagnosis of dementia and severity of dementia at the time of diagnosis.
Study the therapeutic effect and potential neural mechanisms of cerebellar iTBS mode transcranial magnetic stimulation on Alzheimer's disease patients through MRI and EEG.
The goal of this clinical trial is to learn about and describe how pianistic training influences the development of Alzheimer's disease. The key question is: Can pianistic practice influence the development of Alzheimer's disease? Participants will receive piano lessons for 4 weeks (20 sessions) and we will evaluate the evolution of the different parameters described by the tests carried out.
The goal of this clinical trial is to learn whether a new smell test works as well as the standard clinical smell test, if there is a link between sense of smell and variations in the retina, and if these results could be used as a way to identify early stages of Alzheimer's disease. The main questions it aims to answer are: - Whether the test is as effective and reliable as the standard test - Whether there is a link between the results of the smell test and the structure of the back of the eye Participants will: - complete a short questionnaire - have pictures of the inside of their eyes taken - perform two smell tests
Given the expansion of indications for genetic testing and our understanding of conditions for which the results change medical management, it is imperative to consider novel ways to deliver care beyond the traditional genetic counseling visit, which are both amenable to large-scale implementation and sustainable. The investigators propose an entirely new approach for the implementation of genomic medicine, supported by the leadership of Penn Medicine, investigating the use of non-geneticist clinician and patient nudges in the delivery of genomic medicine through a pragmatic randomized clinical trial, addressing NHGRI priorities. Our application is highly conceptually and technically innovative, building upon expertise and infrastructure already in place. Innovative qualities of our proposal include: 1) Cutting edge EHR infrastructure already built to support genomic medicine (e.g., partnering with multiple commercial genetic testing laboratories for direct test ordering and results reporting in the EHR); 2) Automated EHR-based direct ordering or referring by specialist clinicians (i.e., use of replicable modules that enable specialist clinicians to order genetic testing through Epic Smartsets, including all needed components, such as populated gene lists, smartphrases, genetic testing, informational websites and acknowledgement e-forms for patient signature); 3) EHR algorithms for accurate patient identification (i.e., electronic phenotype algorithms to identify eligible patients, none of which currently have phenotype algorithms present in PheKB; 4) Behavioral economics-informed implementation science methods: This trial will be the first to evaluate implementation strategies informed by behavioral economics, directed at clinicians and/or patients, for increasing the use of genetic testing; further it will be the first study in this area to test two forms of defaults as a potential local adaptation to facilitate implementation (ordering vs. referring); and 5) Dissemination: In addition to standard dissemination modalities,PheKB95, GitHub and Epic Community Library, the investigators propose to disseminate via AnVIL (NHGRI's Genomic Data Science Analysis, Visualization, and Informatics Lab-Space). Our results will represent an entirely new paradigm for the provision of genomic medicine for patients in whom the results of genetic testing change medical management.