View clinical trials related to Cognitive Dysfunction.
Filter by:The DaRe2 approach (healthcare Data for pragmatic clinical Research in the NHS - primary 2 secondary) is designed to operationalise efficient, nationwide, primary care approaches for randomised trials embedded within the UK National Health Service (NHS), providing automated screening, targeted patient enrolment and 'no-visit' follow-up through innovations in big data and technology solutions. DaRe2THINK will be the first exemplar of this system, and is appropriately focused on the intersection of key national priorities for healthcare; atrial fibrillation (a heart rhythm condition that will double in prevalence in the next few decades) and the impact this condition has on stroke, thromboembolic events, cognitive impairment and vascular dementia. The trial will test the hypothesis that direct oral anticoagulants (DOACs), now commonly used in older patients with atrial fibrillation (AF), are effective and cost-effective at reducing major adverse clinical events in younger patients at low or intermediate risk of stroke, and can reduce the high rate of cognitive decline. The health technology innovations noted above will allow the investigators to answer this important clinical question, as well as demonstrate the capacity and potential of this system for future, large-scale healthcare-embedded clinical trials for patient benefit.
Improving the anesthesiology management for surgical correction of spinal deformations with introducing the diagnostic methods and treatment strategy of acute pain, preventing the evolution of chronic pain. Development and implementation in clinical practice perioperative intensive care protocols for surgical correction of spinal deformities.
The incidence of AD dementia is increasing due to the aging population, putting a heavy burden on our society and economics. Exploring the mechanisms underlying SCD due to preclinical AD has scientific and clinical significance. However, it is challenging to construct and validate the preclinical diagnosis model of AD with fused multimodel information across culture/race. From the cooperation during the past five years, we have established cohorts by synchronized assessment, achieved consensus on SCD features extraction and made a breakthrough in the application of multiple parameter MRI with German collaborators. Therefore, in this project, SCD with and without amyloid pathology will be compared by clinical and cognitive data, genetics, blood and MRI biomarkers between the German and Chinese. Key features will be extracted and specific characteristics of SCD due to preclinical AD as well as risk factors for conversion between two countries will be clarified. Then the diagnosis model of preclinical AD in SCD will be established across culture/race based on radiogenomics, which will improve the current diagnostic system of AD. Through this project, the value of SCD in the etiologic, anatomical and quantitative diagnosis of preclinical AD will be identified to improve sensitivity and specificity of preclinical AD diagnosis in clinical practice.
Although one of the most evidence-based treatment protocols is based on exercise strategies in patients with Fibromyalgia Syndrome, fear and avoidance of physical activity; named 'Kinesiophobia' may hinder the patients from the exercises. Cognitive dysfunctions are seen frequently in Fibromyalgia Syndrome. The aim of this study, to assess the relationship between kinesiophobia and cognitive functions, disease severity, quality of life, physical activity level, pain intensity, and anxiety/depression level in Fibromyalgia patients. Additionally, the investigators aimed to compare the kinesiophobia level and cognitive functions between patients with Fibromyalgia Syndrome and control subjects.
After a stroke, individuals present with motor and/or cognitive impairments. These impairments limit activity, restrict participation and affect quality of life. Therefore, rehabilitation programs are provided from the earliest days. However, an important proportion of patients do not achieve the recommended amount of rehabilitation therapy (even in institutional systems). In fact, patients do not always have access to healthcare systems. Moreover, hospital resources and healthcare systems are often limited (especially in poor countries) which has led to the development of new cost-effective rehabilitation methods such as self-rehabilitation and tele-rehabilitation. This study aims : 1. to develop and validate relevant self-assessments tools in virtual reality 2. to propose auto-adaptative virtual reality-based therapies based on the link between motor and cognitive functions.
This research aims to evaluate the effect of cognitive stimulation (CS) on the functioning of the prefrontal cortex (PFC), seeking an analysis of both cerebral hemodynamics in neuroplasticity and aspects related to the initiation of neurodegenerative processes. The intervention presents an individual format and the participants are elderly without or with neurocognitive disorders (NCD). Concretely, to assess the effects of individual CS on global cognition, and mood, as well as to analyze neuronal activity with oxygenation, volume and blood flow in the brain, evaluating the impact of cognitive stimulation on brain hemodynamics. Participants in the intervention group receive two 45 min-session of CS per week for 12 weeks in addition to their treatment as usual. Participants in the control group will maintain their treatment as usual.
This study intends to determine if smart watches and mobile phone application prompts can complement physical activity as a preventive intervention by motivating participants to exercise, so as to improve their physical and cognitive outcomes. The investigators hypothesize that technology will help increase engagement in physical activity for the intervention group relative to the control group and subsequently improve cognitive and physical outcomes.
Postural and balance disorders are common in neurological disorders. They are often associated with reduced mobility and fear of falling, which strongly limit independent activities of daily living (ADL), compromise the quality of life and reduce social participation. Here the investigators apply an existing software solution to: 1) obtain biomarkers of gait deficits in 5 neurological conditions, 2) develop an automatic procedure supporting clinicians in the early identification of patients at high risk of falling as to tailor rehabilitation treatment; 3) longitudinally assess these patients to test the efficacy of rehabilitation. High-density electroencephalography (EEG), and inertial sensors located at lower limbs and at upper body levels will be used to extract the most appropriate indexes during motor tasks. The ultimate goal is to develop cost-effective treatment procedures to prevent recurrent falls and fall-related injuries and favour the reintegration of the patient into everyday activities. The first hypothesis of this study is that clinical professionals (e.g., medical doctors and rehabilitative staff) would strongly benefit from the possibility to rely on quantitative, reliable and reproducible information about patients motor deficits. This piece of information can be nowadays readily available through miniaturized wearable technology and its information content can be effectively conveyed thanks to ad hoc software solution, like the A.r.i.s.e. software. The second hypothesis of the present study is that early identification of patients at high risk of dependence and the subsequent application of personalized treatment would allow for cost-effective treatment procedures to favor the autonomy into everyday activities. The results of this project could represent a valuable support in the clinical reasoning and decision-making process.
Cognitive decline is the impairment of memory, execution, or language. Early detection of the individuals who manifest cognitive decline and provide appropriate interventions may help reduce the burden of their caregivers and the medical expenses of the health-care system. Many studies have found that dual-task training combining cognitive training and exercise can improve cognitive function in older adults. However, it is yet not clear the appropriate frequency of the effective dual-task training for elderly with cognitive decline. Thus, this study aims to compare the intervention effects of high frequency sequential and low frequency dual-task training for elderly with cognitive decline.
Taiwan is already an aging society due to the rapid increase of the aging population. To cope with this situation, it is necessary to make preparations for the care of the elderly. World Health Organization (WHO) proposed aging health strategy in recent years, and the community participation is the most important for the elderly. The courses provided by the community empowering are important to promote the healthy life of the elderly. However, at this stage, there are relatively few courses related to cognitive functions, life-style activities and aging education. It is needed to add more courses related to multi-domain.