View clinical trials related to Cognitive Dysfunction.
Filter by:Olfactory identification deficits occur in patients with Alzheimer's disease (AD), are associated with disease severity, predict conversion from mild cognitive impairment (MCI) to AD and are associated with healthy elderly subjects developing MCI. Odor (olfactory) identification deficits may reflect degeneration of cholinergic inputs to the olfactory bulb and other olfactory brain regions. Acetylcholinesterase inhibitors (ACheI) like donepezil show modest effects in improving cognition but can be associated with adverse effects and increased burden and costs because of the need for prolonged, often lifelong, treatment. Converging findings on odor identification test performance (UPSIT, scratch and sniff 40-item test) from four pilot studies, including two of our own, suggest that acute change in the UPSIT in response to an anticholinergic challenge (atropine nasal spray), incremental change over 8 weeks, and even the baseline UPSIT score by itself, may predict cognitive improvement with ACheI treatment in MCI and AD. If change in odor identification deficits can help to identify which patients should receive ACheI treatment, this simple inexpensive approach will advance the goal of improving personalized treatment, improve selection and monitoring of patients for ACheI treatment, reduce needless ACheI exposure with risk of side effects, and decrease health care costs.
The purpose of this study is to improve our understanding of potential changes in size, shape and activity in some brain areas that can occur in women receiving different types of Breast Cancer therapy, and how these changes are related to the development of mild cognitive impairment as the result of these treatments.
1. Exploration of repetitive transcranial magnetic stimulation（rTMS）on working memory and cognitive impairment symptoms of schizophrenia treatment and mechanism. 2. Analysis of high-frequency repetitive transcranial magnetic stimulation stimulation to the improvement of negative symptoms and psychotic symptoms.
The goal of this study is to create new retinal imaging processing software useful for the development of novel retinal biomarkers of cognitive impairment associated with Alzheimer's disease (AD).
The objective of this study is to assess the effectiveness of an intervention to address both executive function and processing speed changes that contribute to poor driving performance in adults with Mild Cognitive Impairment (MCI). Our hypotheses are that the study intervention will improve performance on a driving simulator and will improve (i) executive function, specifically attention and planning, (ii) useful field of view, (iii) mood, (iv) quality of life, and (v) reported motor vehicle crashes and driving infractions.
The purpose of this study is to qualify the biomarker risk algorithm for prognosis of the risk of developing Mild Cognitive Impairment due to Alzheimer's Disease (MCI-AD), and also to evaluate the efficacy of pioglitazone compared with placebo to delay the onset of MCI-AD in cognitively-normal participants who are at high-risk for developing MCI within 5 years.
The hypothesis tested if the diffusion properties in the base line, such as mean diffusivity or kurtosis, can differentiate two subtypes of MCI and predict the clinical outcome in Patients. The hypothesis further supports the correlation of the measured diffusion properties and the disease severity. We therefore proposed to investigate the potential value of diffusion properties as a possible tool to monitor the disease progression. The disease related changes in neural connectivity will be investigated. 1. The diffusion MRI could provide an improved diagnosis of Alzheimer's Disease and Mild cognitive Impairment. Explanation: The deposition of the macromolecules such as beta amyloid in the brain and the associated neuron death of the patient could lead to observable changes in tissue microenvironment. The related changes would lead to alterations in either the amplitude or distribution of water diffusion. In turn it could be detected in diffusion tensor and kurtosis. 2. aMCI is a preclinical state of AD and dMCI is from a different etiology, which can be differentially diagnosis by MRI. Diffusion Imaging could help to predict the clinical outcome Explanation
Vascular risk factors may account for up to 80% of the memory and thinking problems experienced by our aging population today, by far in excess of that caused by Alzheimer's disease. By doing this study, we hope to learn how vascular risk factors cause memory and thinking changes in the elderly, and whether we can prevent memory and thinking changes by reducing these risk factors. Successful completion of project aims will allow an integrated understanding of mild cognitive impairment caused by vascular risks (MCI-CVD) with the potential for tremendous impact on one of the major healthcare crises facing the nation today. The study will enroll 80 participants with memory and thinking problems (mild cognitive impairment; MCI) and are at risk for stroke and further difficulties with memory and thinking that may eventually lead to disability and a diagnosis of dementia. Each participant will be randomized into one of two groups (40 in each group) and followed over 36 months. One group will be followed to allow us to understand the natural history of memory and thinking impairment, while the other group will receive intensive education and assistance with vascular risk factor (CVD) control.
Currently it is unknown how the human brain reorganizes its network organization to generate conscious experience and cognitive activity after a period of unconsciousness. Therefore, the purpose of this study is to assess how cognitive activity is reconstructed after general anesthesia. The investigators hypothesize that the brain's transition from unconsciousness to consciousness and full cognition is a complex process that occurs over an extended period of time. Specifically, the investigators hypothesize the following order of cognitive reconstitution: responsiveness to command, attention, complex scanning and visual tracking, working memory, and executive function. Volunteers will be healthy participants who are anesthetized with commonly used anesthetic drugs as well as a non-anesthetized group to control for circadian influences. A total of 60 subjects will be recruited for this study. All subjects (male and female) will perform basic tests for cognition on a laptop computer at 30-minute intervals during this study. The testing battery to be administered was assembled to assess multiple cognitive functions in order to determine whether and how cognitive processes return to baseline function. Electroencephalogram (measuring brain electrical activity) data will be monitored and recorded during both anesthesia and cognitive testing, for subsequent analysis. This study is significant because it could lead to a better understanding of the neural correlates of human consciousness, as well as normal and abnormal conscious state transitions (including barriers to such transitions).
The proposed project will evaluate the role of neuroimaging biomarkers of brain aging (i.e., neurodegenerative and vascular brain changes) and mild cognitive impairment in the patterns of treatment response to memantine combined with escitalopram compared to escitalopram and placebo.