Active clinical trials for "Dementia"

This study evaluates the association between testosterone levels and risk of dementia and adverse mental health outcomes (e.g. depression and anxiety). It is not known whether low testosterone levels may be associated with an increased risk of dementia. Learning about the association between testosterone levels and risk of dementia may help determine the long-term effects of androgen deprivation therapy and may help improve quality of life.

Transcranial Direct Current Stimulation is a non-invasive neuromodulatory technique that results in the clinical improvement of patients with Mild Cognitive Impairment, a prodromal condition for the onset of dementia. The responses to treatment depend on the characteristics of the patients and the parameters adjusted in the equipment, which makes the modeling of electric fields imperative to maximize the safety profile and therapeutic potential of the technique. The study of neurobiological predictors of response to non-invasive neurostimulation and genetic susceptibility can elucidate current effects according to the individual's profile. The objectives of this study are to observe the effects of Transcranial Direct Current Stimulation with optimized/customized parameters in patients with amnestic CCL, considering the subjects' genetic susceptibility to Alzheimer's Disease and neurobiological markers. This is a randomized, triple-blind, sham-controlled clinical trial. Neuropsychological tests and a sociodemographic and clinical questionnaire will be used to assess and characterize the subjects. Participants captured by the Laboratory of Studies in Aging and Neuroscience at the Federal University of Paraíba will be divided into 02 groups, each with 25 patients, totaling 50 volunteers: Active - participants who will receive real current; Sham - participants who will receive simulated stimulation. Participants entered through the eligibility criteria will be randomly allocated in a simple way, at a rate of 1:1. Payment parameters will be customized by Computational Modeling with the aid of the SimNIBS Program and Nuclear Magnetic Resonance. The electroencephalogram and evaluation of polymorphisms of the gene encoding Apolipoprotein E examined as predictors of response. Data will be processed from the Statistical Package for Social Sciences® (20.0) Software, applying the Student test for continuous variables or chi-square for categorical variables. Predictive analysis will be conducted from Machine Learning. It is expected to find improvements in the scores of memory and general cognition tests after the intervention protocol with tDCS with individualized dose in the group that will receive an intervention, compared to the simulated neurostimulation group. These obtained results optimize the practice, elucidating issues still present due to the different applications of the technique produced in the literature on the subject.

Electrical activity in the brain known as "gamma" brainwaves help connect and process information throughout the brain. These gamma waves are diminished in Alzheimer's disease. New research in Alzheimer's disease mouse models shows that exposure to light flickering at the rate of 40 flashes per second or 40Hz increased gamma brainwaves and led to clearing of beta amyloid plaques in the brain, a key abnormality in Alzheimer's disease. This project will test the ability of a novel iPad App (AlzLife https://www.alz.life/) that delivers light therapy at 40 Hz combined with cognitive therapy to improve cognition, function, and quality of life in Alzheimer's disease.

Alzheimer's disease (AD) and Vascular dementia (VaD) have become common diseases in the elderly. The burden of dementia is rising in China, with major medical, social and economic impacts. To address this important public health problem, cohort study on elderly cognitive disorders should be carry out. The methods of early prevention, early diagnosis and early treatment the cognitive disorders in elderly should be found to reduce the burden of the social and economic issue due to dementia. At present, the international corresponding guidelines have taken gene and brain imaging biomarkers as important indicators of dementia pathogenesis research, accurate diagnosis and targeted intervention. Based on the above understanding, the study carry out the population cohort study based on accurate diagnosis and construct the high standard information and sample bank. The study will establish the standard and quality system of geriatric cognitive disorders cohort study (unified standards and norms). The study will integrate the standard biological samples stratified acquisition function module (homogeneity and precision) of elderly cognitive disorders, and complete the construction of biological samples bank and clinical diagnosis and treatment information database. The study will apply and develop brain structural and pathological imaging technology to support precision diagnosis of senile cognitive disorders. The study will evaluate whether peripheral nerve degeneration can predict central nervous system degeneration based on the large cohort of elderly study. In addition, The study will make an effective supplement the sample bank construction of Shanghai Mental Health Center.

This study will adopt a newly developed computer-based cognitive rehabilitation program targeting the encoding stage of memory. The aims of the study are: To test the feasibility of conducting a newly developed computer-based cognitive rehabilitation program for healthy older adults, people with MCI and mild dementia. To test the effectiveness of the newly developed program in improving cognitive function and enabling maintenance of occupational performance in healthy older adults, people with MCI or mild dementia. Using an iPad application, study participants will learn a memory encoding strategy to support completion of their daily activities. By implementing memory encoding strategies during the mild stages of cognitive decline, the project aims to prolong independence in functional performance. It is anticipated that adoption of the same memory strategies will enable maintain performance as they may experience ongoing cognitive decline.

Obstructive sleep apnea (OSA), which causes abnormal pauses in breathing during sleep, is common in patients with vascular cognitive impairment (VCI) and Alzheimer's disease (AD), and exacerbates the cognitive deficits seen in these conditions. OSA is typically treated with continuous positive airway pressure (CPAP), which has been shown to improve cognition in VCI and slow cognitive decline in AD. Despite the need to identify OSA in patients with VCI/AD, these patients often do not undergo testing for OSA. One major barrier is that in-laboratory polysomnography (iPSG), the current standard for diagnosing OSA, is inconvenient for patients with VCI/AD who may be reliant on others for care or require familiar sleep environments. A convenient and cheaper alternative to iPSG is home sleep apnea testing (HSAT), which has been validated against iPSG to diagnose OSA and has proven feasible for use in VCI/AD. Our primary objective is to determine whether the use of HSAT is superior to iPSG in terms of the proportion of patients who complete sleep testing by 6 months post-randomization. We will also investigate cost-effectiveness, patient satisfaction, proportion of patients treated with CPAP, changes in cognition, mood, sleep-related and functional outcomes between HSAT and iPSG at 6 months.

This study will examine which impact lockdown strategies intending to prevent the spread of COVID-19 had on people with cognitive impairment and dementia. Comprehensive data from two large health studies in Norway, conducted before and after the COVID-19 outbreak, will be linked with health register data on the use of health care services and medication. Further, it will be conducted a survey addressing questions on social isolation and use of communicative technology, from March 2020 to January 2021. The knowledge gained from this study can improve the health care system's ability to respond more adequately to pandemics and other unforeseen events, so that the negative consequences for older adults with dementia and cognitive impairment can be reduced.

The research database contains demographic and family history information, longitudinal information on the clinical symptoms, neuropsychological profile and treatments, stored biological samples, and brain images of patients with Parkinson's disease and related disorders receiving care at the Parkinson's disease and Movement Disorders Center and the Hospital of the University of Pennsylvania.

Biomarkers are important for early and precise diagnosis of dementia. However, the causes of dementia in different age are different. We designed an age stratified dementia cohort and tried to explore biomarkers of different groups of dementia, incorporating neuropsychology, multi-model neuroimaging, metabolics and proteomics based fluid biomarkers as well as genetic biomarkers. Autopsy after clinical follow up help to verify the biomarkers.

This study aims to develop a new measure which can accurately assess social connection for people with dementia living in long-term care homes. The Social Connection in Long-term Care home residents (SONNET) study will use interviews and focus groups with people affected by dementia and long-term care residents to establish what aspects of social connection are important for people living in care homes. These findings and a review of other studies and measures will be used to develop a new measure or measures of social connection which will then be tested in a study based in care homes in Canada and the UK.