View clinical trials related to Cognitive Dysfunction.
Filter by:This study evaluates the efficacy of Real-World Strategy Training (RWST) compared to a psycho-education workshop for improving everyday life performance in older adults with subjective cognitive decline (SCD). Participants will be randomly assigned to receive one of these approaches. Additionally, this study will provide insight into the benefits of the program while people are not able to meet in person during a pandemic.
Cognitive dysfunction is the impairment of mental process of perception. memory and information processing which allow the human to acquire knowledge and plan for the future. The etiology of Post operative cognitive dysfunction (POCD) is unclear and seems to be multifactorial involving a combination of patient, surgical, anesthetic and environmental factors. The definition of day surgery in Great Britain and Ireland is clear; the patient is admitted and discharged on the same day.
There is accumulating evidence suggesting that Aloe vera and Crocus (saffron) may have a positive impact on conditions involving cognitive deficits, such as Mild Cognitive Impairment (MCI) and AD. More specifically, aloe vera gel contains powerful antioxidants, which belong to a large family of substances known as polyphenols. Aloe has also been proven to possess cholinergic and cognitive enhancing capabilities. Crocus is deeper studied and it shows promising results in neuroprotection against AD through various suggested mechanisms, such as the enhancement of amyloid-beta clearance in the brain and the inhibition of neurofibrillary tangles formation. For this reason, it would be interesting to study the effects of combination of Aloe Vera and Crocus . The aim of the study is to evaluate the beneficial effect of Aloe Vera and Crocus (saffron) in comparison with Aloe (simple)on patients diagnosed with mild cognitive impairment MCI. Study Type: Interventional Study Design: Allocation: Randomized Intervention Model: Parallel Assignment Masking: Double Blind (Subject, Investigator) Primary Purpose: Prevention
The hypothesis is that the differential extent of microstructural damages in the affected brain regions can be specific to the disease of interest and could reflect the clinical severity. Therefore, the investigator propose that whole brain parcellation of diffusion MRI can be used to improve diagnosis and prediction of clinical outcomes in Parkinson's Disease. 1. A regression model between clinical severity and two year clinical outcomes and diffusion properties from multiple parcellated regions will be developed. 2. Blind validation will be performed.
Disturbed sleep is stressful to persons living with dementia (PLwD) and their caregivers. It contributes to earlier placement of the PLwD in nursing homes and increase the risk for many psychological and cognitive health issues and poor quality of life for both the PLwD and the caregivers. Given the potential harmful side effects of medications, non-medication alternatives, such as Cognitive Behavioral Therapy for Insomnia (CBTi), may be safer to improve disturbed sleep in this population. CBTi which includes stimulus control, sleep compression, relaxation, sleep hygiene, and cognitive restructuring, is effective and has durable and sustained effects on sleep outcomes over the long-term. CBTi has improved sleep disturbances in PLwD and their caregivers, separately. Since disturbed sleep in the PLwD-caregiver dyad is bidirectional and interdependent, targeting the pair as a unit for intervention has the potential to lead to improved sleep and health outcomes for both persons. There is no current published research on CBTi when the PLwD and their caregivers receive the intervention at the same time; as a result, the researchers will examine the 1) feasibility; 2) acceptability; and 3) preliminary efficacy of 4-week CBTi intervention for community-dwelling PLwD and their caregivers who are both experiencing sleep disturbances. Forty PLwD-caregiver dyads will receive CBTi via videoconferencing sessions. Preliminary efficacy of the intervention will be assessed using objective (actigraphy) and subjective sleep quality measures. In addition, semi-structured interviews will be conducted to examine the acceptability and satisfaction with the intervention.
This is a prospective controlled clinical trial to determine the effects of a 12-week Memory Boot Camp (MBC) program on cognitive function in older adults with symptoms of Mild Cognitive Impairment.
The aim of the intervention proposed in the present study is to assess the effect of a cognitive stimulation (CS) intervention program in an individual and long-term format, for non-institutionalized elderly people with neurocognitive disorders and in a situation of social vulnerability. Specifically, to test the effectiveness of CS on the global cognitive state, on mood state, on quality of life and on functional state. The program will be composed by 50 sessions, including three of assessment sessions (pre, intra and post-intervention). Each session will have a duration of 45 minutes with a weekly frequency. Control group participants will maintain their treatment as usual.
Evaluate the efficacy of memantine on improving the cognitive impairment in patient with epilepsy
The patients with type 2 diabetes mellitus (T2DM) is expected to rise to 439 million in 2030, accounting for 7.7% the population in the world. There are nearly 10 million T2DM patients with mild cognitive impairment (MCI) among people over 65 years old , accounting for about 8% of the people over 65 years old in China. The medical cost for patients with T2DM/MCI is 2.5 to 4 times higher than those without T2DM. And T2DM will increase the risk of cognitive impairment, and lead to various complications which will bring serious social and medical economic burden.
Investigators aim to collaborate with the division of neurology, ophthalmology and dermatology at the Kaohsiung Medical University, and make a new phototherapy for participants suffering from dementia, sleep disorder, mild cognitive dysfunction by using IoT and data science on big health and environmental data.