View clinical trials related to Cognitive Performance.
Filter by:Cognitive performance is negatively related to an impaired glucose metabolism, possibly due to impairments in brain vascular function. Supported by the statement from the American Heart and Stroke Association that a healthy lifestyle is one of the most effective strategies to protect against cognitive decline, the investigators now hypothesise that healthy lifestyle intervention-induced changes in glucose metabolism cause beneficial effects on brain vascular function thereby improving cognitive performance. The primary objective of this intervention study is thus to evaluate in sedentary older men and women the effect of a 16-week aerobic-based exercise program on cerebral blood flow, as quantified by the non-invasive gold standard magnetic resonance imaging (MRI) perfusion method Arterial Spin Labeling (ASL). Cerebral blood flow is a robust and sensitive physiological marker of brain vascular function. Secondary objectives are to examine effects on glucose metabolism using the homeostatic model assessment for insulin resistance (HOMA-ir) and cognitive performance as assessed with a neurophysiological test battery.
The growing consumer-grade molecular and digital wellness market is generating unprecedented volumes of information to support decision-making around individual health. Current trends suggest the demand for personalized health information, tools, and services will continue to rise in the next decade. What is missing is a reliable, individualized way to turn this data into action. Dialogue around consumer health often ignores the disconnect between measurements and goals. For example, monitoring one's weight is not the same as losing weight, and counting steps is not the same as lowering blood pressure. If individuals are to benefit from data, they must be able to relate changes in their personal data to targeted changes in actions and outcomes. There is a great need and opportunity to adapt the tools and capabilities of modern computer science, statistics, and clinical trial design to the needs of individual patients and consumers. The team at the Institute for Next Generation Healthcare (INGH) has created a smartphone-based app ("N1 app") and study platform that together allow individuals to design, implement, and analyze methodologically sound, statistically robust studies of their personal health data. The focus of the platform will be the creation of single-participant randomized crossover studies, known as n-of-1 trials. The platform employs informatics-based intelligence that automates study design and analysis while simultaneously maintaining high standards of statistical rigor and reproducibility. These novel methods and tools are designed to empower individuals to make rational, data-driven choices about their own health, maximizing the benefit all will receive from new and existing sources of personal health data.