View clinical trials related to Mild Cognitive Impairment.
Filter by:As our population ages, more older adults face motor-cognitive declines, increasing their risk of falls and fear of falling. Exercise is an effective way to maintain cognitive function, as supported by recent studies. However, those with poor motor and cognitive abilities often struggle to visit rehabilitation centers, leading to high dropout rates and low adherence to unsupervised programs. A remote exercise program tailored for individuals with cognitive impairments is urgently needed to preserve cognitive function, promote independent living, and reduce related costs. Researchers aim to develop an in-home system for adults with mild cognitive issues or dementia, designed to improve balance and cognition while being remotely supervised through telemedicine.
Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disease. Before progressing to AD, individuals may experience mild cognitive impairment (MCI). While these individuals with MCI have an increased risk of progressing to AD, emerging studies reveal that obstructive sleep apnea (OSA) is a risk factor for both MCI an well as AD. Thus, it is worthwhile to identify clinical management or interventions that retard the conversion of subjects with comorbid MCI and OSA and AD. A randomized, double-blind, placebo-controlled study proposed herein aims to examine the effect of trazodone on reducing level sST2 and protein markers that are associated with neurodegeneration in the plasma of subjects with comorbid OSA and MCI. In this 1-year study, 124 study participants will undergo a series of neurocognitive assessments.
This study aims to validate the safety and impact of transdermal trigeminal electrical neuromodulation(Cefaly) on mild cognitive impairment patients with insomnia on brain functional and structural connectivity as well as sleep parameters evidenced by polysomnography and sleep surveys, with consideration for amyloid positivity and brain-derived neurotrophic factor .
The current proposal aims to assess if the combination of Speed of Processing (SoP) training with alpha tACS (α-tACS) is able to increase brain speed of processing as assessed by the Useful Field of View (UFOV) when comparing to SoP training plus sham α-tACS. Moreover, a second aim is to assess if those changes in speed of processing transfer to other cognitive domains, such as memory, language and executive functioning. Furthermore, the mechanisms underlying these interventions will be tested, namely to assess brain connectivity and coherence as assessed by EEG. To that purpose, the aim of the current proposal is to conduct a double-blind, parallel randomized trial assessing the effects of combining SoP with alpha endogenous tACS (either active or sham) in participants with Mild Cognitive impairment (MCI).
This is an open-label, biomarker-driven basket trial of baricitinib in people with subjective cognitive disorder, mild cognitive impairment, Alzheimer's disease (AD), Amyotrophic lateral sclerosis (ALS), or asymptomatic carriers of an ALS-related gene, such as a hexanucleotide expansion in the C9ORF72 gene, with evidence of abnormal inflammatory signaling in cerebrospinal fluid (CSF) at baseline. Each participant will be treated with baricitinib for 24 weeks; no placebo will be given. Participants will receive baricitinib 2 mg per day by mouth for the first 8 weeks and baricitinib 4 mg per day by mouth for the remaining 16 weeks. This proof of concept trial will ascertain whether baricitinib at 2 mg per day, 4 mg per day, or both reaches therapeutic levels in the CSF and suppresses inflammatory biomarkers associated with type I interferon signaling among the study participants.
This study is to elucidate the possible mechanisms of SSE by examining brain activation differences between SSE patterns and usual walking, as well as the relationship between brain activity and SSE performance, between cognitive function and SSE performance, and between physical performance and SSE performance in frail elders with MCI.
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.
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.