View clinical trials related to Mild Cognitive Impairment.
Filter by:Every three seconds someone in the world develops dementia. There are over 50 million people worldwide living with dementia and by 2030 this figure is expected to reach 82 million. Besides time-consuming patient investigations with low discriminative power for dementia risk, current treatment options focus on late symptom management. By screening brain connectivity and dementia risk estimation in people affected by mild cognitive impairment, the European Union (EU) funded AI-Mind project will open the door to extending the 'dementia-free' period by offering proper diagnosis and early intervention. AI-Mind will develop two artificial intelligence-based digital tools that will identify dysfunctional brain networks and assess dementia risk. Personalised patient reports will be generated, potentially opening new windows for intervention possibilities.
This study aims to develop, evaluate, and commercialize an in-home supportive technology that is designed to alleviate anxiety, burden, and loneliness in spousal and familial caregivers of individuals with Alzheimer's disease, other dementias, or mild cognitive impairment in Spanish language homes.
This study aims to develop, evaluate, and commercialize an in-home supportive technology that is designed to alleviate anxiety, burden, and loneliness in spousal and familial caregivers of individuals with Alzheimer's disease, other dementias, or mild cognitive impairment in rural homes.
This study aims to develop, evaluate, and commercialize an in-home supportive technology that is designed to alleviate anxiety, burden, and loneliness in spousal and familial caregivers of individuals with Alzheimer's disease, other dementias, or mild cognitive impairment by integrating wearable devices (e.g., Apple Watches).
Age-related cognitive impairment is a wide phenomenon. Mild cognitive impairment is a transitional stage between Dementia and normal cognition.Mild cognitive impairment (MCI) is a syndrome that has been recognized in older adults and it has become a topic of a major focus on clinical care and research. In people with this condition, there are cognitive deficits and these have adverse effects on activities of daily living . These patients cannot recognize their impairment. Mild cognitive impairment is a risk factor for dementia.
The Shared Decision Making about Medication Use for People with Multiple Health Problems study will assess the feasibility and acceptability of a deprescribing educational intervention in primary care for patients with mild cognitive impairment or dementia and/or multiple chronic conditions (MCC), the patients' care partners, clinicians, and medical assistants. The intervention consists of the following strategies: 1) a patient/caregiver component focused on education and activation about deprescribing, and 2) a clinician component focused on increasing clinician awareness about options and processes for deprescribing in the MCI/dementia and/or MCC population. Clinicians will each be asked to participate in a single, 15-minute educational session on deprescribing, and medical residents will receive a 45-minute lecture. Patients, caregivers, clinicians, and medical assistants will participate in a single one-on-one debriefing interview.
Alzheimer's disease (AD) clinically characterized by the cognitive impairment and lowering of various functional abilities lead to staggering costs and suffering, which are particularly related to the social impacts of caring for increasingly disabled individuals. Some of these changes can be almost undetectable in the early stages of the disease, worsening over time often and at a varying rate of progression in different people. The traditional clinical scales or questionnaires such as ADCS (Alzheimer's Disease Cooperative Study) - ADL (Activities of Daily Living) for detecting such functional disabilities are typically blunt and rely on direct observation or caregiver recall. Digital technologies, particularly those based on the use of smart phones, wearable and/or home-based monitoring devices, here defined as 'Remote Measurement Technologies' (RMTs), provide an opportunity to change radically the way in which functional assessment is undertaken in AD, RMTs have potential to obtain better measurements of behavioral and biological parameters associated with individual Activities of Daily Living (ADL) when compared to the current subjective scales or questionnaires. Divergence from normative ADL profiles could objectively indicate the presence of incipient functional impairment at the very early stages of AD. Therefore, the main hypothesis of this study is that RMTs should allow the detection of impairments in functional components of ADLs that occur below the detection threshold of clinical scale or questionnaires.
This study is designed to assess the feasibility that individualized reminiscence-based virtual music therapy sessions can enhance autobiographical memory, mood, and cognition in patients with mild cognitive impairment (MCI) or mild dementia due to Alzheimer's Disease (AD). 60 patients with MCI or mild dementia due to AD will receive two 30 minutes reminiscence-targeted virtual music therapy interventions per week for 8 weeks (a total of 16 sessions). Participants' (or supported by the study partner) self-reported and measurable outcomes including cognitive, anxiety, quality of life, and autobiographical memory will be assessed before and after the 8-week course of treatment. Blood-oxygenation level-dependent (BOLD) in functional magnetic resonance imaging (fMRI) will also be also measured before and after the 8-week course of treatment.
Dementia caused by Alzheimer's disease affects approximately 5.6 million adults over age 65, with costs expected to rise from $307 billion to $1.5 trillion over the next 30 years. Behavioral interventions have shown promise for mitigating neurodegeneration and cognitive impairments. Sleep is a modifiable health behavior that is critical for cognition and deteriorates with advancing age and Alzheimer's disease. Thus, it is a priority to examine whether improving sleep modifies Alzheimer's disease pathophysiology and cognitive function. Extant research suggests that deeper, more consolidated sleep is positively associated with memory and executive functions and networks that underlie these processes. Preliminary studies confirm that time-in-bed restriction interventions increase sleep efficiency and non-rapid eye movement slow-wave activity (SWA) and suggest that increases in SWA are associated with improved cognitive function. SWA reflects synaptic downscaling predominantly among prefrontal connections. Downscaling of prefrontal connections with the hippocampus during sleep may help to preserve the long-range connections that support memory and cognitive function. In pre-clinical Alzheimer's disease, hyperactivation of the hippocampus is thought to be excitotoxic and is shown to leave neurons vulnerable to further amyloid deposition. Synaptic downscaling through SWA may mitigate the progression of Alzheimer's disease through these pathways. The proposed study will behaviorally increase sleep depth (SWA) through four weeks of time-in-bed restriction in older adults characterized on amyloid deposition and multiple factors associated with Alzheimer's disease risk. This study will examine whether behaviorally enhanced SWA reduces hippocampal hyperactivation, leading to improved task-related prefrontal-hippocampal connectivity, plasma amyloid levels, and cognitive function. This research addresses whether a simple, feasible, and scalable behavioral sleep intervention improves functional neuroimaging indices of excitotoxicity, Alzheimer's pathophysiology, and cognitive performance.
The KBASE2 is the second phase of the KBASE project, which consists of roll-over participants from the first phase of the KBASE as well as newly enrolled participants with varying degrees of cognitive functions (e.g. individuals with normal cognition, mild cognitive impairment, or AD dementia). In addition to the aims of the first phase of the KBASE, the KBASE2 will focus on new data collection and integrative analysis of the rich structural, functional, and molecular neuroimaging data in relation to whole genome sequencing and other -omics. Network analysis of disruption in brain connectivity in relation to clinical status and AD biomarker profiles also will be conducted.