View clinical trials related to Cognitive Impairment.
Filter by:Researchers at the University of North Carolina at Greensboro conduct a single-arm intervention trial to investigate the efficacy of a music-based group exercise program for community-dwelling older adults. Up to forty participants will be recruited to participate in a music-based light-to-moderate intensity group exercise program for 20 weeks (30 - 40 min/day, up to 6 days/week), which is designed for older adults with or without functional limitations to exercise with chairs for the improvement of aerobic capacity, upper and lower body strength, and balance control at a gradually increasing pace. During the exercise sessions, participants will be trained to move in time with music playlists in synchronous tempos. Primary outcomes are cognitive performance, mobility, and health-related quality of life measured before and after the intervention. Secondary outcomes are adherence to the exercise program as a potential mediator of the treatment.
The investigators will examine mental/cognitive as well as cognitive functions (executive functions, attention functions, processing speed, learning and memory) in 200 patients with chronic pain and 36 healthy controls. Mental fatigue will be measured with questionnaires and cognitive fatigue and cognitive functions with neuropsychological tests. As studies on patients with mild traumatic brain injury has shown that fatigue is associated with altered communication (connectivity) in the brain's attention-related networks, brain connectivity will be measure in 24 patients (women only) and 22 healthy female controls using functional magnetic resonance imaging (fMRI) technology. During the fMRI examination, participants will also perform a 20-minute vigilance task in a scanner. Studies have also shown that inflammatory biomarkers may be related to chronic pain, but inflammatory biomarkers has not been studied in relation to objective measures regarding cognition, fatigue and connectivity changes. Therefore, the patients and controls performing fMRI will also be examined with immunological biomarkers. In addition to this, a further 14 patients and 14 controls carrying out the neuropsychological testing alone will also be examined for immunological biomarkers. The main objectives are: 1. Do patients with chronic pain show more pronounced self-rated mental fatigue and cognitive fatigue compared to healthy controls and are fatigue measures related to cognitive functions such as process speed and attention functions? 2. What is the relationship between cognitive impairments, mental fatigue, or fatigability and 1. the duration of pain 2. generalization of pain and are they affected by covariates, such as sleep disorders and degree of depression/anxiety? 3. Is there an association between immunological biomarkers and cognitive functions/mental fatigue/cognitive fatigability? 4. Does the connectivity in the brain of patients with chronic pain differ from healthy controls at rest as well as during activity while performing a vigilance task? 5. Is there an association between connectivity in the brain and 1. immunological biomarkers 2. fatigability and 3. results on neuropsychological tests?
This multicentre study, with a randomised controlled repeated measures experimental design, will be conducted in several Portuguese institutions, which provide care and supportive services for older adults diagnosed with mild or moderate Alzheimer's disease (AD), with an aim to assess the effect of individual cognitive stimulation (CS) on memory and executive functioning. Participants in the intervention group will attend 24 individual CS sessions, twice weekly for 12 weeks. Participants in the control group will complete their usual routines without any activity restrictions.
OptiCogs Online is a complex multicomponent intervention comprising of cognitive, physical activity and educational components.
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.
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.
This multicentre study will be conduct in several Portuguese institutions, which provide care and supporting services for older adults, with aim to assess the impact of COVID-19 pandemic on the cognitive, emotional and social status of their beneficiaries. Initially, data on global cognitive function, executive function, mood, anxiety, loneliness, and quality of life will be collected. Secondly, a semi-structured interview will be carried out to realize and understand what were the major difficulties experienced by the older adult during the pandemic period.
The objective of the study is to evaluate the effectiveness of cognitive training in people with atrial fibrillation and cognitive decline over 12-week cognitive training. Moreover, the investigators will explore whether the training effect can be maintained.
The present study aimed to investigate the effects of a Virtual Reality cognitive training intervention (VRCTI) on cognitive function changes measured with a cognitive test battery and improvement of quality of life in older adults with cognitive impairment in long-term care facilities. Weekly 1-hour sessions were implemented over 8 weeks targeting sustained and selective attention, memory, cognitive functions, and rule deduction. The passive control group received usual care.
In the United States, more than a million people sustain a mild traumatic brain injury (mTBI) every year. Although many recover fully, emerging literature suggests a high number of individuals report chronic, and functionally disabling, cognitive difficulties. Among Veterans, a nationwide survey found that more than 75% of 55,000 Veterans with a history of mTBI reported persistent moderate to severe levels of forgetfulness and poor concentration. Reduced cognitive functioning following mTBI contributes to significant functional impairment, including underemployment, relationship difficulties, and reduced community integration for years post injury. Despite the significant individual and societal impact, evidence to guide interventions and treatment for this population remains limited. Even more limited are validated telehealth options for these symptoms, a critical means by which access to care can be improved, especially during the COVID-19 pandemic. The proposed pilot study will address this gap by evaluating the feasibility, acceptability, and preliminary effectiveness of a brief (5-session) cognitive rehabilitation intervention that was developed for individuals with mTBI and that will be administered over video-based telehealth technology. The development of this intervention was supported by a grant from the Department of Defense, with critical elements identified through surveys completed by clinicians and veterans with a history of mTBI, and also the clinical expertise of the team.