Active clinical trials for "Cognitive Dysfunction"

Dementia, especially dementia caused by Alzheimer's disease, is considered one of the most severe health problems of our time. It is currently known that the disease begins many years before clinical symptoms appear. The sooner the patient is diagnosed, the sooner the patient will be in a position to prevent further deterioration. A recent orientation is the analysis of language in relation to the description of images with a high and varied semantic and emotional content. It can be studied that changes in the description of an image check if these changes are associated with the evolution of a person with probable impairment both in memory and cognitive as well as emotional, psychiatric, behavioral and even in their interaction with environmental factors especially those associated with socialization and loneliness. The present study has the objective of validating a digital method for detection and follow-up of patients with mild cognitive impairment (MCI) or dementia in a memory clinic setting.

The purpose of this study is to explore the mechanism of cognitive impairment in patients with asymptomatic intracranial atherosclerotic stenosis(ICAS),and to examine the natural history and the pathogenesis of asymptomatic ICAS.

UDDGait™ is a multidisciplinary research project with the overreaching goal of providing an aid for early identification of cognitive impairment and risk of dementia development, thereby providing a basis for adequate symptom relieving and health promoting interventions. A new concept is investigated for this purpose: a "dual-task-test", which implies the combination of a well-established mobility test (Timed Up-and-Go, TUG) with a simultaneous verbal task (i.e. TUG dual-task, TUGdt). This type of test has been judged as a potential aid for early identification of dementia disease. More research is needed to further examine the test's validity, reliability and predictive capacity. The overall aim is to investigate if TUGdt is useful as an aid for prediction of dementia disease. To ensure the results, the aim is also to evaluate the test's measurement properties and to generate normative reference values of healthy control persons.

This research study aims to examine biomarkers of Alzheimer's disease as early as possible which could potentially be a screening tool for the general population. This observational study will take place at the Memory and Aging Program at Butler Hospital. The study will enroll up to 200 cognitively healthy subjects aged 50 to 80 years with ongoing recruitment and enrollment for 2 years, and subject participation lasting approximately 4 years. Disclosure of AD risk assessments will be an optional procedure. Two PET imaging sub-studies will also be optional.

The purpose of this study is to investigate how we can detect Alzheimer's disease early by using an online memory test and a simple blood test. These new methods for early diagnosis could allow people to begin treatment sooner, with the potential to improve the lives of millions of people.

Validate speech analysis AI models: To contrast the accuracy of acceXible's platform as a screening tool in the detection of people with cognitive impairment and mild dementia. To evaluate the correlation between automatically analyzed linguistic variables and a combination of standard measures of cognition. To assess short-term variability in language ability among older adults, and to assess which aspects of language vary during the study period.

This study plans to establish a large bank of blood, cerebral spinal fluid (CSF), imaging, and clinical data. These data and samples will be used for future research into the causes of Alzheimer's disease (AD), Down Syndrome (DS) and other diseases that cause thinking and memory problems. This future research will also study how treatments for these diseases work. This research may help develop new treatments for some diseases of the nervous system and help understand these diseases better.

Diabetes( mainly type II diabetes )lead to the central nervous system (CNS) function impairment, especially the mild cognitive impairment that increased the risk of progression to dementia.The primary objectives are defined according to a hierarchical design: i) to tailor and apply multi-parametric, functional MRI techniques to identify cerebral abnormalities (cerebral biomarkers) in type 2 diabetes mellitus and prodromal diabetes mellitus ; ii) to assess whether these cerebral biomarkers are associated with cognitive decrements;iii) to follow up with the putative prediabetic condition patients to verify whether they can transform into diabetes.

This study evaluates the use of an EEG device using Event Related Potentials to help diagnose Alzheimer's Disease in the outpatient clinical setting.

This study leverages a modernized digital version of a well-known cognitive screening tool to examine pre and post operative cognitive function after surgery in adults age 65 years or more. Machine learning algorithms will be applied to the hospital wide standard of care cognitive metric to identify risk for post-operative cognitive complications.