View clinical trials related to Alzheimer Disease.
Filter by:Neuroinflammation is a significant component of Alzheimer disease (AD). Our group recently demonstrated that regulatory T cells (Tregs) have a compromised phenotype and reduced suppressive function in AD patients, skewing the immune system toward a proinflammatory status and potentially contributing to disease progression. Low dose interleukin-2 (IL-2) is now viewed as a promising immunoregulatory drug with the capacity to selectively expand and restore functional Tregs. This study is a phase II, randomized, double-blind, placebo-controlled study to assess low dose IL-2 therapy in AD patients. Up to 40 Alzheimer's disease patients in the mild- to moderate clinical dementia stages (MMSE scores: 12-26) will be randomized to five-day-courses of subcutaneous IL-2 or placebo for a total of 6 months. We will evaluate the safety and tolerability of IL-2 treatment and the possible effects of IL-2 treatment on peripheral and central inflammation. The expected time participants will be in the study is 30 weeks.
Deep transcranial magnetic stimulation (dTMS) is a brain stimulation technique that involves generating a brief magnetic field in a coil that is placed on the scalp. The magnetic field passes through the skull and induces a weak electrical current in the brain that briefly activates neural circuits at the stimulation site. The Brainsway dTMS H7-Coil is able to target an area of the brain that has been shown in studies to be linked to greater resilience to cognitive decline. In this study, the investigators will combine dTMS with cognitive training in older adults with subjective cognitive decline (SCD) and examine the effect of this treatment on memory, other cognitive abilities, and mood. In addition, the investigators will examine the combined effects of dTMS and cognitive training on brain activity as measured using electroencephalography (EEG). Approximately 30 older adults from ages 55 to 70 with SCD and a positive family history of Alzheimer's disease will be enrolled in this study.
This study aims to testify multi-domain effects of computerized cognitive training in patients with mild cognitive impairment and mild Alzheimer's disease through multi-dimensional evaluation.
The investigators will evaluate the theory that Alzheimer's disease-related memory impairment derives from the inefficient orchestration of rhythmic activity at the level of large-scale cortical networks. The results as expected to elucidate AD-related pathophysiology and set groundwork for the development of drug-free interventions for improving memory in AD and related dementias.
Insomnia is a highly common, chronic disorder that is distressful for the patient but also for caregivers and can give rise to a heavy burden on the healthcare team. Sleeping aids like benzodiazepines and other sedatives (e.g., zolpidem, zopiclone) have been widely used to help treat insomnia. However, sleeping aids are also known to cause adverse drug reactions such as drowsiness and dizziness, that increases the risk of falls, driving impairment, visual impairment, cognitive impairment, and upon discontinuation may cause paradoxical rebound insomnia, delirium, and nightmares all of which exacerbate the initial insomnia. All of the negative aspects of sleeping aid use are exaggerated for older, frail adults. Some patients experience an early (young-age) onset dementia with a substantial component of insomnia. Due to the many risks associated with traditional sleeping aids they are often inappropriate in adults living with cognitive impairment and/or frailty. Lemborexant comes from a new class of medications for insomnia. Lemborexant is a dual orexin receptor antagonist that blocks the binding of wake-promoting neuropeptides orexin A and orexin B to their receptors orexin 1 receptor (OX1R) and orexin 2 receptor (OX2R), which is thought to suppress wake drive. Unlike other traditional sleeping aids, lemborexant has not shown to be significantly associated with driving impairment, rebound insomnia, or dependence/withdrawal symptoms. Also, in clinical trials it only rarely causes the types of adverse events associated with benzodiazepines and other traditional sedatives and is less often associated with discontinuations due to adverse events. While lemborexant is available on the Canadian market it is unclear how this medication will be tolerated by patients living with an early onset dementia. Understanding the effectiveness and tolerability of lemborexant will be helpful in an N of 1 trial to understand the details of effect and effectiveness in individual patients.
The goal of this clinical trial is to learn about the application of domestic PET/MR in major brain diseases. The main questions it aims to answer are: - Overcome the bottleneck of early accurate diagnosis and treatment in major brain diseases clinical practice. - Promote the clinical application of domestic PET/MR, enhance international competitiveness. Participants will have a PET/MR scan of the brain.
The purpose of this research is to see how effective the Personalized obstructive sleep apnea (OSA) Treatment Adherence Model called PRAISE is in helping the patient stick to the physician recommended OSA treatment plan Positive Airway Pressure (PAP).
The study tests the effect of the ATNC MDD-V1 on Alzheimer patients' cognitive function. The ATNC MDD-V1 uses non-invasive stimulation of both magnetic and cognitive training.
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.
Alzheimer's disease (AD) is the most common dementia and has been one of the most expensive diseases with the highest lethality. With the rapid increase of the aging population, more and more burdens will be posed on society and economics. The manifestations of AD are the progressive loss of memory, language and visuospatial function, executive and daily living abilities, and so forth. The Pathophysiological changes of AD occur 10-20 years before the clinical symptoms, while there is still a lack of effective strategy for early diagnosis. Mild cognitive impairment (MCI) is considered to be a transitional state between healthy aging and the clinical diagnosis of dementia and has received increasing attention as a separate diagnostic entity. To make the diagnosis, doctors ought to compressively consider the multimodal medical information including clinical symptoms, neuroimages, neuropsychological tests, laboratory examinations, etc. Multimodal deep learning has risen to this challenge， which could integrate the various modalities of biological information and capture the relationships among them contributing to higher accuracy and efficiency. It has been widely applied in imaging, tumor pathology, genomics, etc. Recently, the studies on AD based on deep learning still mainly focused on multimodal neuroimaging, while multimodal medical information requires comprehensive integration and intellectual analysis. Moreover, studies reveal that some imperceptible symptoms in MCI and the early stage of AD may also play an effective role in diagnosis and assessment, such as gait disorder, facial expression identification dysfunction, and speech and language impairment. However, doctors could hardly detect the slight and complex changes, which could rely on the full mining of the video and audio information by multimodal deep learning. In conclusion, we aim to explore the features of gait disorder, facial expression identification dysfunction, and speech and language impairment in MCI and AD, and analyze their diagnostic efficiency. We would identify the different degrees of dependency on multimodal medical information in diagnosis and finally build an optimal multimodal diagnostic method utilizing the most convenient and economical information. Besides, based on follow-up observations on the changes in multimodal medical information with the progress of AD and MCI, we expect to establish an effective and convenient diagnostic strategy.