View clinical trials related to Cognitive Dysfunction.
Filter by:Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disease. Before progressing to AD, individuals may experience mild cognitive impairment (MCI). While these individuals with MCI have an increased risk of progressing to AD, emerging studies reveal that obstructive sleep apnea (OSA) is a risk factor for both MCI an well as AD. Thus, it is worthwhile to identify clinical management or interventions that retard the conversion of subjects with comorbid MCI and OSA and AD. A randomized, double-blind, placebo-controlled study proposed herein aims to examine the effect of trazodone on reducing level sST2 and protein markers that are associated with neurodegeneration in the plasma of subjects with comorbid OSA and MCI. In this 1-year study, 124 study participants will undergo a series of neurocognitive assessments.
The purpose of this study is to investigate neurocognitive mechanisms underlying response to intervention aimed at enhancing, and remediating weaknesses in, numerical skills in children, including those with mathematical learning disabilities (MLD).
This study aims to validate the safety and impact of transdermal trigeminal electrical neuromodulation(Cefaly) on mild cognitive impairment patients with insomnia on brain functional and structural connectivity as well as sleep parameters evidenced by polysomnography and sleep surveys, with consideration for amyloid positivity and brain-derived neurotrophic factor .
The purpose of this study is to test the feasibility of a telehealth Dyadic Life Review (DLR), adapted from individual Life Review Therapy, with caregivers of older adults with advanced cancer, including those with Mild Cognitive Impairment (MCI). The study will enroll 20 dyads of caregivers and older patients with advanced cancer and 20 dyads of caregivers and patients with advanced cancer and Mild Cognitive Impairment (MCI).
The current proposal aims to assess if the combination of Speed of Processing (SoP) training with alpha tACS (α-tACS) is able to increase brain speed of processing as assessed by the Useful Field of View (UFOV) when comparing to SoP training plus sham α-tACS. Moreover, a second aim is to assess if those changes in speed of processing transfer to other cognitive domains, such as memory, language and executive functioning. Furthermore, the mechanisms underlying these interventions will be tested, namely to assess brain connectivity and coherence as assessed by EEG. To that purpose, the aim of the current proposal is to conduct a double-blind, parallel randomized trial assessing the effects of combining SoP with alpha endogenous tACS (either active or sham) in participants with Mild Cognitive impairment (MCI).
The investigators will conduct a randomized, double-blinded, sham-controlled trial of approximately 60 patients with minor stroke and post-stroke mild cognitive impairment (psMCI). Participants will be individually randomized on enrollment using a random number generator to treatment with anodal tDCS + computerized cognitive treatment (CCT) versus sham + CCT (approximately 30 patients in each arm). Clinical evaluation including assessment of cognition will be performed pre- and post-intervention by individuals on the study team blinded to the participant's intervention. Participants will also undergo functional neuroimaging with magnetoencephalography (MEG) pre- and post-intervention (1, 3, and 6 months post-stroke to evaluate for initial and longer-term effects of treatment on cerebral activation patterns and functional connectivity). Neuroimaging and clinical outcomes will be assessed to determine the effect of tDCS versus sham + CCT on psMCI.
Global dementia prevalence is rising. Alzheimer's disease (AD), the most common cause, has devastating effects on people's quality of life. AD has a preclinical (pre-AD) period of 10-20 years when brain pathology silently progresses before any cognitive symptoms appear. Current tests for pre-AD are invasive, costly and unsuitable for screening at population level. Similar to screening for pre-diabetes and carcinoma in situ, it is important to detect AD at the preclinical stage in order to offer early interventions before the pathology progresses to the irrerversible degenerative stage. In the study, research will develop a new scalable test (TAS Test) by combining two innovative ideas: hand-movement tests to detect pre-AD >10 years before cognitive symptoms begin; and computer vision so people can "self-test" online using home computers. This unique approach builds on recent discoveries that hand-movement patterns change in pre-AD. The research team will use exquisitely precise computer vision methods to automatically analyse movement data from thousands of participants, and combine this with machine learning of overall motor-cognitive performance. The project team has access to 3 well-phenotyped cohorts, >10,000 existing participants and a cutting-edge assay for a blood AD biomarker, ptau181. The research team will develop a TAS Test algorithm to classify hand-movement and cognitive test data for pre-AD risk (p-taua181 levels) and determine TAS Test's precision to prospectively predict 5-year risks of cognitive decline and AD.
This is an open-label, biomarker-driven basket trial of baricitinib in people with subjective cognitive disorder, mild cognitive impairment, Alzheimer's disease (AD), Amyotrophic lateral sclerosis (ALS), or asymptomatic carriers of an ALS-related gene, such as a hexanucleotide expansion in the C9ORF72 gene, with evidence of abnormal inflammatory signaling in cerebrospinal fluid (CSF) at baseline. Each participant will be treated with baricitinib for 24 weeks; no placebo will be given. Participants will receive baricitinib 2 mg per day by mouth for the first 8 weeks and baricitinib 4 mg per day by mouth for the remaining 16 weeks. This proof of concept trial will ascertain whether baricitinib at 2 mg per day, 4 mg per day, or both reaches therapeutic levels in the CSF and suppresses inflammatory biomarkers associated with type I interferon signaling among the study participants.
This study aims to develop and validate a sensitive and non-invasive eye-tracking software application.
The objective of this study is to demonstrate the impact of a socially assistive robot system on reducing apathy among cognitively impaired older adults residing in long term care facilities. Earlier phases of this project demonstrated the feasibility and acceptability of the robotic system. First, investigators will improve the social robotic interaction architecture through additional software development, enhance its versatility, and make it easy for non-experts to run. Second, 188 participants will be randomized to either usual activity programs at the long term care facility, or the usual activity programs plus the robotic activities. Researchers will examine the effect on apathy and also plan on examining underlying individual and facility factors that influence the impact of the robotic activities.