Active clinical trials for "Cognition Disorders"

Insomnia is a common sleep disorder. In recent years, the incidence of insomnia is increasing worldwide. Studies point out that insomnia plays an important role in the pathogenesis of cognitive impairment. Although sleep and cognitive scales are the main methods to detect sleep quality and cognitive changes, there are problems such as strong subjectivity and poor repetition. There is an urgent need to use non-invasive and objective detection methods to assess the potential mechanisms of cognitive impairment caused by sleep disorders. Previous studies have shown that different brain states may show different neurovascular coupling (NVC) characteristics. However, after prolonged sleep deprivation, the evoked hemodynamics response was attenuated despite an increased electroencephalogram (EEG) signal response, suggesting that sustained neural activity may reduce vascular compliance. It is suggested that sleep disorder may lead to NVC disorder. However, whether sleep disorders regulate the mechanism of cognitive impairment in the brain through NVC disorders has not been demonstrated in vivo. Currently, functional magnetic resonance imaging (fMRI) can be used to study brain function and blood flow changes non-invasively. In our previous research, we combined cerebral blood flow (CBF) with mean amplitude of low-frequency fluctuation (mALFF), mean regional homogeneity (mReHo) and degree-centrality (DC), the early warning effect of fMRI features based on neurovascular uncoupling on early cognitive impairment was confirmed, providing a basis for further selection of functional imaging indicators. In conclusion, the present study proposes the scientific hypothesis that neurovascular decoupling-based MRI features are more appropriate for exploring the neural mechanisms underlying sleep disorders-induced brain cognitive impairment. The aim of this study is to establish an early warning and monitoring system for early non-invasive diagnosis and intervention of sleep-related cognitive impairment.

This observational cohort study is designed to validate the CogCheck application as a risk prediction tool for postoperative delirium in patients undergoing cardiac surgery.

The Neurocognitive Study for the Aging (NEUROAGE) was initially funded by the Cyprus Innovation Foundation and has received subsequent funding by the European Union Regional Development Fund. The project focuses on the understanding of the effects of age on neurocognitive abilities such as attention, memory, language, categorization, and executive functioning. In addition, specific arms of the project investigate the effects of a theory-driven hierarchical training program, the Categorization Program, to improve cognitive abilities in adults with Mild Cognitive Impairment (MCI) and of a group intervention program focusing on cognitive and psychosocial abilities. Over 1000 adults ages 40 and older have been recruited in the NEUROAGE project thus far. The grant was awarded to the University of Cyprus, with Professor Fofi Constantinidou as the PI.

The purpose of this international, multi-centre observational study is to describe perioperative cognitive changes (pre-existing neurocognitive disorder [NCD], postoperative delirium [POD] and Postoperative Cognitive Dysfunction [POCD]) up to five years after elective surgery in a mixed cohort. Measurements and definitions of cognitive outcomes will be based on current consensus and used for further harmonization in future clinical studies on perioperative cognitive trajectories. This is a feasibility approach to identify an effective screening procedure and estimate loss to follow up rates for the planning of future intervention studies. Data from this trial may also serve to facilitate and implement time effective cognitive screening and risk stratification concerning postoperative cognitive decline in the anaesthesiological preoperative assessment.

This is a basic neuroscience study of modulating brain oscillations involved in cognitive control. We will record brain signals and stimulate specific regions of the brain in human participants who are undergoing monitoring for epilepsy surgery. It is not a clinical trial for treating any disease.

Mild cognitive impairment (MCI) is defined by lower performance in one or more cognitive domains with preservation of independence in functional abilities. Sixteen percent of community-dwelling older people (over 65 years) live with MCI. They are both cognitively and physically vulnerable. From a cognitive perspective, they are susceptible to converting to the dementia stage at an annual rate of 10%. From a physical perspective, the proportion of slow gait or neurological gait abnormalities can reach 46% in the population with MCI. Falls in turn increase the risk of accelerated cognitive decline and the risk of institutionalization. In the absence of a curative treatment for dementia, it is essential to have an effective and personalized prevention strategy by identifying the predictive factors for falls in this at-risk population with MCI. The research goals of this project are 1) to identify specific predictors for falls in clinic attendees with MCI in preparation for a definitive, fully powered study across France, and 2) to demonstrate the feasibility of a pragmatic fall risk assessment in MCs, whatever its setting and location. We aim to prospectively follow-up people diagnosed with MCI and aged above 65 years old in four MCs in France (three in the North (one community-based MC), and one in the Centre) for one year.

This study investigates the potential of cranial electrotherapy stimulation to mitigate anxiety induced cognitive deficits

Many post COVID-19 patients suffer from cognitive deficits, even after 1 year after hospitalization. These complaints have a huge impact on psychological well-being and quality of life. In rehabilitation programs in the Netherlands, most interventions are based on physical therapy or learning how to cope with fatigue and low levels of energy. In former studies computerized training of cognition in other populations has been proven to be effective. Knowledge on the effect of computerized training on attention and working memory in patients suffering from COVID-19 is urgently needed, and may contribute to more evidence-based rehabilitation programs for these patients. Therefore the effectiveness of computerized training of attention and working memory in post COVID-19 patients with cognitive complaints will be studied in this study.

Approximately 50 participants enrolled in the LEARN study (NCT02488720) will be enrolled in the LEARN-Tau study. The study designed to evaluate the imaging characteristics of 18F-AV-1451 in participants enrolled in the LEARN study and to expand the safety database of 18F-AV-1451. The study will run in parallel to the LEARN study. In this study, participants will undergo up to four (4) 18F-AV-1451 PET scans over a 4.5 year period. Imaging visits will occur at the throughout the participant's participation in the LEARN study (corresponding to LEARN Visit 1, between Visit 4 and 6, Visit 8, and Visit 11). The LEARN-Tau study will (1) look at change in the amount of tau protein in the brain over time, measured by the 18F-AV-1451 PET scan, (2) see if tau protein in the brain of older individuals is associated with memory problems and (3) evaluate the safety of 18F-AV-1451 and any side effects that might be associated with it. Site investigators, participants, and study partners will not be informed of the results of the 18F-AV-1451 PET scan results as they relate to the study; however, any findings that may be of potential medical concern will be provided for appropriate follow-up.

This study concerns patients who survived intensive care, after a minimum stay of 7 days and presenting cognitive disorders (with a score ≤ 26 on the MoCA test) during the post-intensive care follow-up consultation one month after ICU discharge. The objective of this prospective open-label randomized study is to assess the impact of cognitive stimulation on recovery from cognitive impairment after a critical illness.