View clinical trials related to Mild Cognitive Impairment.
Filter by:Individuals diagnosed with mild cognitive impairment (MCI) are at a high risk of developing dementia and are an important target population for interventions that may reduce the risk of cognitive decline. A diagnosis of MCI or dementia also has an important impact on caregivers, who show increased levels of stress, anxiety, and depression. Mindfulness meditation is a promising behavioural intervention that may have important benefits both for older adults with MCI and for caregivers. Previous research suggests that meditation may improve psychological wellbeing, reduce stress, and even improve cognitive function. Technology-based mindfulness meditation platforms may be a much-needed solution for promoting the adoption of mindfulness in these populations. The current study is a pilot randomized control trial of a mindfulness meditation intervention delivered via the Muse platform in two study populations: a) older adults diagnosed with MCI, and b) family caregivers of persons with MCI or neurodegenerative disorders. Muse is a mobile application for meditation that provides real-time feedback about the user's state of mindfulness during meditation via a headband containing electroencephalographic sensors (EEG) that the user wears while meditating. It is thought that this neurofeedback can promote learning and lead to faster improvements in meditation ability and, consequently, greater benefits from meditation practice. This aim of this pilot study is to establish the acceptability of the Muse platform as an intervention in the two study populations, to determine the feasibility of the randomized control trial designed to evaluate the effectiveness of a 6 week intervention with the Muse platform, and to evaluate the effect of neurofeedback on meditation. Participants will be randomly allocated to meditation with neurofeedback (NFB) or meditation without neurofeedback (no-NFB) and will complete daily meditation sessions for 6 weeks. An assessment visit before and after the intervention will evaluate participants' psychological well-being using questionnaires; their visual working memory, attention, and visual perception using behavioural tests; and their mindfulness ability using questionnaires and a behavioural measure. EEG will also be recorded using the Muse headband to examine changes in electrophysiological markers during cognitive tests and at rest.
Mild Cognitive Impairment (MCI), diagnosed with Montreal Cognitive assessment test (MoCA) define a condition that is insufficient to meet the threshold for a diagnosis of dementia, and it is an increasing health problem. It has been related to age and comorbilities, but the linkage between MCI and number of previous anesthesia is still unclear.
This is an administrative supplement to an existing project "Using fMRI-guided TMS to increase central executive function in older adults: NCT02767323" This award allows extending our existing fMRI-TMS paradigm to patients with a prodromal form of Alzheimer's Disease (AD) known as amnestic Mild Cognitive Impairment (MCI), and investigate the role of brain health factors in mediating the TMS-related memory performance benefits associated with communication between a network of frontoparietal brain regions in these populations. The focus on focal neurostimulation at only a single site represents a fundamental gap in the approach of memory-based neurostimulation therapies. Neurostimulation affects multiple sites within a cortical network, but these global effects have not been used as targets for stimulation because of limited knowledge about what influence these localized sites have on global changes in brain state. To address this problem, multimodal neuroimaging tools and network modeling approaches developed though the parent U01 project will be used, to demonstrate how focal neurostimulation improves the efficacy of TMS for enhancing memory function. These goals will be addressed in the Administrative Supplement under our two specific aims. First, network-guided TMS will be applied to optimize memory success based in the frontoparietal network (FPN) in a new group of MCI patients. A new form of TMS targeting that involves modeling of the global network to understand how the controllability of a stimulation site evokes changes in widespread brain networks will be tested. Second, structural and functional factors affecting the efficacy of individualized network-guided TMS will be identified to ameliorate deficits in MCI. By creating a multimodal model of neural deficits related to MCI, network-guided TMS will be adjusted to demonstrate how the MCI brain might compensate for these neural deficits. The parent U01 project has made foundational advances towards these goals, as we have demonstrated the ability of to selectively enhance and reduce working memory performance in healthy older adults. In the current Administrative Supplement this paradigm will be extended to a group of MCI participants in order to test the hypothesis that excitatory rTMS to the working memory network can provide positive outcomes for patients with pre-clinical AD. The proposed work will provide an important tool for studying the stability and controllability of network connectivity of memory states in the aging brain, as well as new information on the effectiveness of brain stimulation technologies as a therapeutic approach for cognitive decline.
Older adults at risk for dementia show a variety of cognitive deficits, which can be ameliorated by different cognitive training (CT) exercises. The best combination of CT exercises is unknown. The aim is to discover the most efficacious combination of CT exercises as compared to cognitive stimulation (which will serve as a stringent, active control) to modify the functional trajectories of older adults' with MCI, who are at high risk for dementia. The primary objective of the U01 phase was to design and pilot-test an adaptive, randomized clinical trial (RCT) of cognitive training (CT) combinations aimed to enhance performance of instrumental activities of daily living (IADL) among persons with mild cognitive impairment (MCI). In the R01 phase, the objective is to identify the best combination of CT exercises to delay dementia onset among persons with MCI. The longitudinal endpoint goal is reducing incident dementia. The primary aim of the study is to determine which CT combination has the best probability to delay dementia by producing the largest IADL improvements. The study further aims to explore neuroimaging and novel blood-based biomarkers.
The study investigates the incidence of remote ischemic conditioning in mild cognitive impairment and dementia patients
The composite effect of reduced balance, cognition, gait abnormalities/gait disturbances, and physical activity in older adults with mild cognitive impairments (MCI) leads to fear of falling and reduced participation in daily activities, which results in reduced cardiovascular fitness and deconditioning. Although many conventional balance and strength training programs have been implemented for older adults with MCI; these adults do not receive adequate practice dosage to make significant improvements, most likely due to lack of adherence to therapy and/or inadequate incorporation of all domains of the ICF model (body functions and structures, activities and participation) and lack of targeting cognitive-motor interference (deterioration of motor and/or cognitive function when both tasks are performed together). The use of alternative therapies such as dance and virtual reality (VR) has been found to be relatively enjoyable for older adults due to increased motivation, which led to the added improvement of physical and cognitive functioning. The overall aims of this pilot is to test the feasibility of VR-based dance therapy paradigm for older adults with MCI as well as its effect on enhancing balance, gait, and cognition, and physical fitness. Investigators also hope that the net effect of improvement in these domains of health outcomes will result in pre and post reduction of fall risk and improved quality of life of older adults with MCI. The study investigates the effectiveness of a VR (Kinect)-based dance therapy in older adults with MCI by demonstrating its feasibility and compliance rate and also determine the efficacy of the VR-based dance therapy in improving health outcomes such as motor and cognitive functions, thereby reducing cognitive-motor interference. The study will also aim to determine the effectiveness of the VR-based dance paradigm in improving cardiovascular fitness and physical activity (PA) in older adults with MCI
The specific aims of this studyare to examine the 1) feasibility; 2) acceptability; and 3) preliminary efficacy of a tailored music intervention in home-dwelling older adults with dementia suffering from sleep disruption. Sixty dyads (older adults with dementia and their caregivers) will be randomized to receive the tailored music intervention immediately or following a four week delay.
A Study to Evaluate NYX-458 in Subjects With Mild Cognitive Impairment or Mild Dementia Associated With Parkinson's Disease or Prodromal or Manifest Lewy Body Dementia
The STRENGTH project is a randomized controlled trial to assess the effects of a 6 months multimodal intervention consisted of adapted Tango dancing together with music therapy, engagement in social activities, cognitive intervention and psycho-education on functional, biological, cognitive outcomes and psycho-social aspects in 300 subjects with mild cognitive impairment.
This goal of this study is to explore the effects of transcranial alternating current stimulation(tACS) combined with computerized cognitive training(CCT) on improving cognition for patients with mild cognitive impairment(MCI). The study will recruit 195 patients with MCI. Participants will undergo baseline cognitve assessment, EEG and structural and functional MRI. Participants will be randomized to active tACS+CCT group, sham tACS+CCT group and active tACS+sham CCT group. At the end of the intervention, 3-month, 6-month and 12-month follow-up, all subjects will repeat the baseline assessments.