View clinical trials related to Cognitive Dysfunction.
Filter by:The main trial is a 2-group quasi-experimental trial of comparing the outcome indicators between joining and not joining the 10-week personal assistive robot (PARO) training program in residents with dementia or mild cognitive impairment (MCI). The study questions are as follows: Primary study questions: i. Can participation of the 10-week PARO training program reduce neuropsychiatric symptoms at week 10? ii. Can participation of the 10-week PARO training program reduce loneliness at week 10? Secondary study questions: iii. Can participation of PARO training session reduce pulse rate (as an indicator of stress and anxiety)? iv. Can participation of PARO training session improve oxygen saturation (as an indicator of stress and anxiety)? v. What are the participants' emotions and engagement in PARO training sessions? Auxiliary study questions: vi. Can participation of the 10-week PARO training program reduce neuropsychiatric symptoms at week 14? vii. Can participation of the 10-week PARO training program reduce loneliness at week 14? viii. Can participation of the 10-week PARO training program improve quality of life at week 10? ix. Can participation of the 10-week PARO training program improve quality of life at week 14? x. Can participation of the 10-week PARO training program improve sleep quality at week 10? xi. Can participation of the 10-week PARO training program improve sleep quality at week 14? xii. Can participation of the 10-week PARO training program improve cognitive functioning at week 10? xiii. Can participation of the 10-week PARO training program improve cognitive functioning at week 14? xiv. What are the feelings, satisfaction, and acceptance of PARO of the participants and PARO facilitators?
This research aims at analysing the profile of the elderly with cognitive impairment (IC) and inquiring about the mental illnesses that cause cognitive impairment of a population (elderly admitted to nursing homes with a high incidence).
The aim of this multicenter, cross-sectional, observational flash mob study is to investigate the prevalence of cognitive impairment in hospitalized elderly aged 65 years or older, and the recognition of cognitive impairment by healthcare professionals.
The aim of the study is the development and scientific substantiation of the effectiveness and safety of multimodal rehabilitation technology using innovative digital technologies, biofeedback (BFB), virtual reality (VR), neurointerface for the restoration of stato-locomotor disorders, neuromuscular control of upper limb movements and cognitive functions in patients with ischemic stroke (IS) in different recovery periods with rehabilitation risks control in outpatient clinic.
Using a randomized controlled trial (RCT) design, we will test feasibility and outcomes following an remotely delivered, nationwide 8-week prolonged nightly fasting (PNF) intervention compared to an health education control (HEC) in 50 obese, stressed mid-life adults to explore outcomes related to cognitive function, metabolism and associated lifestyle behaviors.
BACKGROUND: Simultaneous motor-cognitive training interventions are considered promising to prevent the decline in cognitive functioning in older adults with mild neurocognitive disorder (mNCD) and can be highly motivating when applied in form of exergames. OBJECTIVES: This study systematically explores the effectiveness of a newly developed exergame-based motor-cognitive training concept (called 'Brain-IT') targeted to improve cognitive functioning in older adults with mNCD. METHODS: A two-arm, parallel-group, single-blinded (i.e. outcome evaluator of pre- and post-measurements blinded to group allocation) randomized controlled trial with an allocation ration of 1 : 1 (i.e. intervention : control) including 34 - 40 older adults with mNCD will be conducted between May 2022 and December 2023. The control group will proceed with usual care as provided by the (memory) clinics where the patients are recruited while the intervention group will perform a twelve-week training intervention according to the newly developed 'Brain-IT' exergame-based training concept in addition to usual care. As a primary outcome, global cognitive functioning will be assessed using the Quick Mild Cognitive Impairment Screen (Qmci). As secondary outcomes, domain-specific cognitive functioning, brain structure and function, spatiotemporal parameters of gait, instrumental activities of daily living, psychosocial factors (e.g. quality of life, and levels of depression, anxiety, stress), and cardiac vagal modulation (heart rate variability at rest) will be assessed. Both, the pre- and the post-measurements will take place within two weeks prior to starting or after completing the intervention.
Cognitive impairment is one of the core early signs of dementia, and it is also a key stage for community-based dementia prevention. Accurate and convenient prediction of cognitive impairment can help the community to identify and manage the high-risk population of dementia. Previous studies had developed several dementia predicting models, but such models may be not suitable for cognitive impairment prediction. Based on the national representative follow-up data of Chinese Longitudinal Healthy Longevity Survey (CLHLS), this project aims to develop and validate a brief cognitive impairment prediction algorithm among the community-dwelling elderly, using machine learning methods (such as Logistic regression, Naïve Bayes model, Extreme Gradient Boosting Tree and so on). Finally, based on the constructed model, an easy-to-use online intelligent assessment tool for predicting cognitive impairment risk will be developed. The general practitioners, social workers and the elderly would be invited to use the tool and we will revise the tool according to their suggestions and comments. This project is expected to provide scientific basis and technical support for community-based dementia prevention, and will also be useful for the elderly to easily understand their cognitive health.
- Purpose of clinical trial; This clinical trial is designed to evaluate the effectiveness of 'NeuroAI' prediction accuracy compared to the amyloid PET test results by retrospectively collecting medical data of patients with mild cognitive impairment to evaluate the effectiveness of artificial intelligence-based brain image detection and diagnosis assistance software 'NeuroAI'. - Participants; Patient with mild cognitive impairment
This study aims to establish the Senior Driving Simulation Training (SDST) for Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI), and explore the effectiveness of Senior Driving Simulation Training (SDST) on the executive function, cognitive function and EEG.
The goal of this randomized controlled trial is to rigorously assess the efficacy of an 8-week social engagement OneClick intervention. A total of 120 older adults with and without mild cognitive impairment (60 per group) will be randomized after a baseline assessment to the social engagement OneClick intervention group or the waitlist control group. Participants assigned to the intervention group will receive the social engagement OneClick intervention for 8 weeks, and will complete a mid-assessment at week 4, and a post-assessment at week 8. Participants assigned to the waitlist control group will receive no intervention for the first 8 weeks and will complete assessments at week 4 and week 8. Subsequently, as an extension to this study, participants assigned to the waitlist control group will have an opportunity to participate in 8 weeks of social engagement OneClick intervention, with intervention effects assessed at week 4 and week 8.