Mci

The goal of this clinical trial is to develop a five-week virtual cognitive training intervention for people with Mild Cognitive Impairment (MCI) based off an existing eight-week intervention. The main question it aims to answer is: • Is five weeks of training as good as eight weeks in improving cognition, quality of life, daily functioning, and mood, and in reducing caregiver burden? Researchers will compare five weeks of cognitive training to eight weeks of training to see if the shorter version is as effective as the full training. Participants will complete all activities virtually: * Complete a screening visit with a study partner (typically a family member, roommate, or close friend) to determine eligibility to participate in the study * Complete some tests of memory and thinking and some questionnaires * Attend weekly two-hour group cognitive training sessions with a trained group leader, for five or eight weeks * Redo the questionnaires and tests of memory and thinking immediately after completing the training, and three months after completing the training

The goal of this clinical trial is to evaluate whether an AI-powered digital brain health coaching intervention can improve modifiable brain health risk factors in community-dwelling adults aged 40 and above in Singapore. The main question it aims to answer is: does the use of BLAZE, an AI-powered digital brain health coaching intervention, lead to a greater improvement in Brain Care Score (BCS) compared to usual care at 6 months? Researchers will compare participants receiving BLAZE to those receiving usual care (waitlist control) to see if BLAZE leads to greater improvements in brain health risk factors, behavioural outcomes, quality of life, and cost-effectiveness. Participants will: * Be randomly assigned to either receive BLAZE immediately for 12 months or be placed on a waitlist receiving usual care for the first 6 months before receiving BLAZE for a further 6 months * Complete a series of assessments at baseline, 6 months, and 12 months including the Brain Care Score, physical function tests, cognitive assessments, quality of life measures, and lifestyle behaviour questionnaires * If assigned to the intervention group, interact with BLAZE via a WhatsApp-based platform that delivers personalised brain health recommendations, behavioural nudges, educational content, and goal-setting support based on their individual Brain Care Score profile

This is a non randomized, open-label Phase I study in Chinese participants. The goal of this clinical trial is to evaluate the safety and tolerability of a radioactive imaging agent called \[18F\]Flortaucipir Injection, which is used during a PET scan. The study will also measure how the agent moves through the body (pharmacokinetics), where it goes (biodistribution), the amount of radiation exposure (radiation dosimetry), and how well it may help detect signs of disease (preliminary diagnostic efficacy).

This research study investigates the feasibility and efficacy of a personalized, closed-loop electroencephalogram-transcranial electrical stimulation (EEG-tES) intervention for individuals with mild cognitive impairment (MCI), addressing the inconsistent results of generic brain stimulation protocols. By integrating artificial intelligence (AI)-derived insights with real-time data, the study aims to customize transcranial electrical stimulation (tES) parameters, including electrode placement, intensity, and frequency to target the specific brain regions responsible for abnormal signaling in each participant. Over the intervention period paired with computerized cognitive training, the project will evaluate improvements in learning, memory, and functional connectivity, while simultaneously identifying clinical and physiological predictors to determine the viability of transitioning this low-cost, non-invasive technology into a remotely supervised, home-based therapy setting. The study duration will be a total of 6-8 weeks.

Osteoarthritis and mild cognitive impairment are common conditions that share underlying biological processes related to metabolism and inflammation. This study will examine whether a well-formulated ketogenic diet influences pain, physical function, and cognitive outcomes in adults with osteoarthritis and mild cognitive impairment. Participants will follow a supervised ketogenic dietary intervention, with assessments conducted before and after the intervention to evaluate changes in symptoms and related biological markers. The goal of this study is to better understand shared mechanisms between joint pain and cognitive health and to explore whether a ketogenic dietary approach may support symptom management in these populations.

How to ensure adherence to computerized cognitive training in unsupervised circumstances (e.g., at-home, self-administered) in older adults at risk for Alzheimer's disease (AD) or AD related dementia (AD/ADRD) is understudied. The objective of the R33 study is to test a novel facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement, with an ultimate goal of enhancing long-term adherence in unsupervised cognitive training in older adults at risk for AD/ADRD. Here, Effective engagement is defined as the extent to which someone is actively engaged and performing with significant attention and enjoyment while training, addressing a balance between adherence and cognitive gains/plasticity from the training. Based on previous work, the hypotheses include that (1) mental fatigue revealed in facial expressions will reflect a trainee's degree of effective engagement, which can be modified by modulating task novelty; (2) the proposed FPE will ensure the effective engagement in cognitive training by monitoring trainee facial expressions and modulating training in response, promoting the trainee's long-term adherence to the training and cognitive plasticity. A Stage II intervention efficacy study will be conducted to compare effective engagement and adherence in unsupervised cognitive training between training programs with vs. without FPE in older adults at risk for AD/ADRD. The proposed FPE may assist in monitoring and improving effective engagement and adherence in older adults with unsupervised cognitive training. In the current application, FPE in a cognitive training program called speed of processing training will be tested. However, such FPE may be embedded to any computerized cognitive training in future studies to help address adherence related issues.

Alzheimer's disease and related dementias (AD/ADRD) greatly affect memory and daily activities in older adults. Mild Cognitive Impairment (MCI) is an early stage of dementia, affecting about 17% of older adults. People with MCI often show problems with gait and balance, which doubles their risk of falling compared to cognitively healthy peers. Falls can cause injuries, increase sedentary behavior, and reduce physical activity. This decline in activity can also speed up the progression from MCI to dementia. Exercise can help older adults make healthy lifestyle changes; however, most of the existing exercise programs focus mainly on physical movement rather than cognitive function. Therefore, the investigators developed a new program that uses computer vision and a cloud-based system to provide more scalable, engaging, and personalized cognitive-motor training for OAwMCI. The purpose of this study is to investigate the short- and long-term effects of a novel CogXergaming training (CXT) paradigm for improving the cognitive-motor function, physical activity, falls efficacy, and quality of life.

The goal of this proposed research is to collect pilot data to test the hypothesis that treatment with a novel form of closed-loop digital meditation (MediTrain) will lead to a greater magnitude of gains in cognitive abilities in patients with mild cognitive impairment (MCI), compared to OA without cognitive impairment, and will lead to improvements in quantitative measures of sleep.

The goals of the proposed research are to first determine the minimal and/or optimal dose of a digital intervention required for cognitive enhancement, and then to examine the impact of several potential moderators of treatment effects (i.e., cognitive decline, AD polygenic hazard score, cardiovascular risk, and race/ethnicity). This knowledge gained from his high-impact study with transform the field of cognitive interventions, paving the way for a precision medicine model for cognitive enhancing interventions that improve quality of life for older adults and individuals with cognitive deficits at risk of developing dementia.

The study aims to investigate the effects of DPP-4 Is+ metformin versus SGLT2 Is + metformin on the risk of cognitive decline and depression in patients with T2DM.

The aging population in Europe is leading to an increase in neurodegenerative diseases, such as Alzheimer's disease (AD), which is expected to affect 152 million people worldwide by 2050. In Italy, there are approximately 1.2 million cases of dementia, with 600,000 attributed to AD. Given the limited effectiveness of current pharmacological treatments, there is a growing need for early, non-pharmacological interventions to slow disease progression and improve the quality of life for patients and caregivers. The Neurocognitive Assessment Platform 4 Alzheimer (NAP4A) study aims to create a digital platform for the early detection of amnestic mild cognitive impairment (MCIa), considered an intermediate stage between normal aging and dementia. The platform uses non-invasive biometric tools, including EEG, blood flow sensors, and eye-tracking devices, to collect neurophysiological and behavioral data. The study will involve 100 participants aged 55 to 80, divided into two groups: one with individuals diagnosed with MCIa and a control group of healthy participants. Over 12 months, regular assessments will be conducted to identify markers that predict the progression from MCIa to AD. The goal is to develop advanced diagnostic tools that support early and targeted interventions.

Objective: The purpose of this study is to assess the psychometric qualities of the Montreal Cognitive Assessment (MoCA) version 8.x in Greek, including the MoCA-MIS. We intend to examine the tool's reliability (internal consistency, test-retest reliability) and validity (construct validity, concurrent validity, and known-group validity). Aim: The findings will support the tool's application for early cognitive impairment identification in clinical and research settings.

The study aims to use 'omics' sciences, employing the most advanced technologies currently available, in order to identify pathogenic genomic variants, proteins and/or altered molecular pathways in neurodegenerative diseases and to obtain a new and more complete characterisation of subjects affected by the neurodegenerative diseases under study. Thanks to the integration of genomic, gene expression (transcriptomic and epigenomic), protein and metabolic data and clinical data, the study also aims to identify new markers for the diagnosis, prognosis, also in terms of response to therapy, and monitoring of neurodegenerative diseases. The study involves the enrolment of at least 1.200 individuals with neurodegenerative disease.

The proposed research will use closed-loop transcranial magnetic stimulation (TMS) based on individualized brain networks to establish parameters that can reliably control brain states. This will be tested in healthy aging and mild cognitive impairment (MCI) cohorts. The investigators will study network activation and neural oscillatory mechanisms underlying the network that regulates working memory and then target this network using closed-loop TMS to the Prefrontal Cortex. Investigators will measure the impact of TMS on working memory performance and task-based neural activity. The project will use brain stimulation and network modeling techniques to enhance working memory in healthy older adults and MCI and will demonstrate the value of closed-loop, network-guided TMS for future clinical applications.

The overall objective is to obtain an assessment of the pharmacokinetics of \[18F\]3F4AP in healthy volunteers and subjects with demyelinating diseases such as mild cognitive impairment (MCI), Alzheimer's Disease (AD), Multiple Sclerosis (MS), Spinal Cord Injury (SCI) and Spinal radiculopathy (SR).

The goal of this clinical trial is to assess the degree of improvement in cognitive functions, including memory, attention, thinking, executive and language functions in diagnosed patients MCI and AD taking dimethyl fumarate 480 mg daily compared to patients taking placebo. Participant will be 55 to 90 years old, both genders. The main question it aims to answer is: Changing the degree of cognitive improvement based on the RBANS score among patients diagnosed with MCI and AD after completing dimethyl fumarate therapy test group compared to the placebo group.

SCD and MCI are very heterogeneous conditions, which can be prodromal to different types of dementia. The application of data driven clustering methods on neuroimaging and inflammatory data aims at identifying the features characterizing subgroups of subjects at high risk of developing overt dementia. This approach promises to develop tailored early interventions for subjects with profiles of cognitive decline correlating with high risk of progression. To this end in this project, we propose to examine in these subjects both brain structure and cerebral blood flow (CBF) through MR T1-weighted and pCASL (pseudo-continuous arterial spin labeling) imaging and the neuroinflammatory status. The latter will be done by measuring the populations of innate and adaptive immune cells, the chemokines that are required to attract these cells to their potential sites of action in the CNS, and the cytokines by means they exert their function. The analyses performed in aged subjects with MCI and in SCD, will allow identifying common mechanisms predisposing to an increased susceptibility to progression to overt cognitive decline.

The goal of this clinical trial is to learn about the effects of social isolation and social interaction on the risk of dementia progression and brain function in SCD 1. To explore the association between social isolation and lonely SCD populations and the occurrence and progression of MCI and AD through cross-sectional studies, cohort studies and randomized controlled trials of SCD; 2. To clarify the correlation between different carrier states, resting brain function connectivity characteristics, and dual-task walking ability of APOEε4 allele and the progression of SCD to MCI and AD during the cognitive progress of people with SCD affected by social isolation; 3. Establish a predictive model of cognitive decline from SCD to MCI and AD, and apply it to the SCD population to carry out individualized interventions; 4. Confirm the protective effect of social interaction on cognitive level and brain function in SCD patients.

The primary purpose of this study is to attempt to replicate and extend promising pilot findings regarding the cognitive benefits of in-home neuro-exergaming with iPACES (interactive Physical and Cognitive Exercise System v3) for persons with mild cognitive impairment (MCI), to evaluate effects for persons with Parkinson's Disease (PD). Participants will include persons with PD, and potentially, also their co-residing partner, who will exercise at home or accessible location, 3-5 times per week for at least 6 months, with follow-up one month after the main intervention. All participation is "remote" (completed at home, or location of choice), utilizing either one's own equipment ("bring-your-own-devices" BYODs: pedaler, phone/tablet, smart-watch) or some equipment which may be supplied by the grant-funded study and shipped directly to the home; all study measures are completed remotely (e.g., via phone app, website, biometric device, videoconference, email, snail mail, etc.).

Mild cognitive impairment (MCI) and neurocognitive disorder such as Alzheimer's disease (AD) and Vascular dementia (VaD) have become common diseases in the elderly. The burden of dementia is rising in China, with major medical, social and economic impacts. To address this important public health problem, cohort study on elderly cognitive disorders should be carry out. The methods of early prevention, early diagnosis and early treatment the cognitive disorders in elderly should be found to reduce the burden of the social and economic issue due to dementia. At present, the international corresponding guidelines have taken gene and brain imaging biomarkers as important indicators of dementia pathogenesis research, accurate diagnosis and targeted intervention. The study will construct a prospective cohort to establish database that provide not only comprehensive epidemiological data on the MCI and neurocognitive disorder in ageing people, but also complete the construction of biological samples bank and clinical diagnosis and treatment information database. Using the database, the study will identify the conversion rates from MCI to dementia and risk factors for the progression from MCI to dementia or AD. The study will also apply and develop brain structural and pathological imaging technology to support precision diagnosis of senile cognitive disorders. The study have goals to identify and validate imaging and blood/CSF biomarkers for the early detection and tracking of cognitive disorders.