View clinical trials related to Cognitive Dysfunction.
Filter by: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.
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 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.
Post-stroke cognitive impairment(PSCI) is one of the most important factors causing disabilities after stroke. Recent study found that gut microbiota plays a key role in neurological diseases. Two recent small sample studies reported gut dysbiosis in PSCI patients. In order to further verify the relationship between PSCI and gut microbiota and the predictive value of gut microbiota and serum markers for cognitive impairment and poor prognosis after ischemic stroke. The study intended to collect stool specimens of patients with acute ischemic stroke and assess their cognitive psychological state, and to establish a prospective multi-center follow-up cohort to explore the correlation between the dynamic changes of intestinal flora in patients with stroke and PSCI and poor prognosis of stroke.
The objective of the study is to determine the safety, feasibility, and efficacy of senolytics in older adults with amnestic mild cognitive impairment (MCI) or early-stage AD (Clinical Dementia Rating (CDR)=0.5 or 1) who are tau PET positive
The purpose of this study is to identify genetic factors that contribute to or cause dementia (loss of memory) and related disorders across all ages and ethnic groups. This includes a number of neurological diseases such as early and late-onset Alzheimer disease, mild cognitive impairment, and other dementias.