View clinical trials related to Mild Cognitive Impairment.
Filter by:This study will be a randomized control trial, which will be conducted on older adults with mild cognitive impairment. A specially designed Exergame balance training will be used for cognitive enhancement in patients with MCI. This training will determine the improvement in executive functioning, balance, speech and electrical activity of the brain.
The purpose of this research is to collect and compare electroencephalogram data from all stages of Alzheimer's disease from preclinical through severe dementia.
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech, can predict change in Preclinical Alzheimer's Clinical Composite with semantic processing (PACC5) between baseline and +12 month follow up across all four Arms, as measured by the coefficient of individual agreement (CIA) between the change in PACC5 and the corresponding regression model, trained on baseline speech data to predict it. Secondary objectives include (1) evaluating whether similar algorithms can predict change in PACC5 between baseline and +12 month follow up in the cognitively normal (CN) and MCI populations separately; (2) evaluating whether similar algorithms trained to regress against PACC5 scores at baseline, still regress significantly against PACC5 scores at +12 month follow-up, as measured by the coefficient of individual agreement (CIA) between the PACC5 composite at +12 months and the regression model, trained on baseline speech data to predict PACC5 scores at baseline; (3) evaluating whether similar algorithms can classify converters vs non-converters in the cognitively normal Arms (Arm 3 + 4), and fast vs slow decliners in the MCI Arms (Arm 1 + 2), as measured by the Area Under the Curve (AUC) of the receiver operating characteristic curve, sensitivity, specificity and Cohen's kappa of the corresponding binary classifiers. Secondary objectives include the objectives above, but using time points of +24 months and +36 months; and finally to evaluate whether the model performance for the objectives and outcomes above improved if the model has access to speech data at 1 week, 1 month, and 3 month timepoints.
The purpose of this study is to develop and test a physical activity-tracking smartphone app designed to facilitate physical activity in older adults with mild cognitive impairments or mild dementia. The app targets provides tips, messages, and strategies to overcome common barriers older adults face to being physically active. Participants will include older adults with memory or thinking problems or those diagnosed with mild cognitive impairment or mild forms of dementia who are smartphone users age 65 years or older and who are not meeting nationally recommended levels of physical activity. In the clinical trial phase of this study, 15 participant-study partner dyads will be oriented to the app and use it for a two-month period. Dyads will keep a diary to document their experiences and participants' activity patterns will also be tracked at the beginning and end of the study. After the two-month app trial is complete, dyads will return for a follow-up interview to discuss their experiences and provide suggestions for app improvements. Findings from this stage of the overall study will be combined with previous study phases to derive specifications for an optimized app for older people with mild cognitive impairments or mild dementia.
Transcranial Direct Current Stimulation is a non-invasive neuromodulatory technique that results in the clinical improvement of patients with Mild Cognitive Impairment, a prodromal condition for the onset of dementia. The responses to treatment depend on the characteristics of the patients and the parameters adjusted in the equipment, which makes the modeling of electric fields imperative to maximize the safety profile and therapeutic potential of the technique. The study of neurobiological predictors of response to non-invasive neurostimulation and genetic susceptibility can elucidate current effects according to the individual's profile. The objectives of this study are to observe the effects of Transcranial Direct Current Stimulation with optimized/customized parameters in patients with amnestic CCL, considering the subjects' genetic susceptibility to Alzheimer's Disease and neurobiological markers. This is a randomized, triple-blind, sham-controlled clinical trial. Neuropsychological tests and a sociodemographic and clinical questionnaire will be used to assess and characterize the subjects. Participants captured by the Laboratory of Studies in Aging and Neuroscience at the Federal University of Paraíba will be divided into 02 groups, each with 25 patients, totaling 50 volunteers: Active - participants who will receive real current; Sham - participants who will receive simulated stimulation. Participants entered through the eligibility criteria will be randomly allocated in a simple way, at a rate of 1:1. Payment parameters will be customized by Computational Modeling with the aid of the SimNIBS Program and Nuclear Magnetic Resonance. The electroencephalogram and evaluation of polymorphisms of the gene encoding Apolipoprotein E examined as predictors of response. Data will be processed from the Statistical Package for Social Sciences® (20.0) Software, applying the Student test for continuous variables or chi-square for categorical variables. Predictive analysis will be conducted from Machine Learning. It is expected to find improvements in the scores of memory and general cognition tests after the intervention protocol with tDCS with individualized dose in the group that will receive an intervention, compared to the simulated neurostimulation group. These obtained results optimize the practice, elucidating issues still present due to the different applications of the technique produced in the literature on the subject.
Memory mistakes are one of the most detrimental symptoms in Alzheimer's Disease (AD). In this study the investigators will measure the long-term efficacy of memory strategies in patients with AD. First, the efficacy of the strategies will be evaluated in the laboratory by analyzing the behavioral response and the brain activity of the patients. During the first visit, patients will be taught the memory strategies and asked to repeat them at home for 4 weeks. During this period of time, patients will perform several memory tasks while their performance and brain activity will be measured using portable devices. Monitoring brain activity and behavioral responses to memory tasks will provide insightful information on the efficacy of the strategies and allow the investigation of how patients can maintain the strategies over time. The research will examine if improving memory through the use of cognitive strategies, can positively affect other domains of daily life.
The primary objective of the study is to evaluate the feasibility of eliciting continuous narrative speech in different neurodegenerative and psychiatric indications, using remote, self-administered speech tasks, as measured by the average length of speech elicitation for each speech task during the first week of self-assessment. Secondary objectives include (1) evaluating the reliability of speech tasks in the remote self-administered setting, as measured by the intra- and inter-subject variance; (2) accessing the adherence of speech tasks in this setting, as measured by the subject average fraction of days during the first week, where at least one task response is submitted; (3) evaluating the feasibility of using speech tasks in the setting of a telemedicine videoconference, as measured by the average length of speech elicited in each group; (4) evaluate whether a set of acoustic and linguistic patterns can detect each indication, compare to either a control group or all other indications, as measured by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and Cohen's kappa of the relevant binary classifier; (5) evaluating how the performance of such algorithms can be impacted by speaker and environment covariates, as measured by the Kendall rank correlation coefficient of the AUC of each classifier and each of age group, gender and speech-to-reverberation modulation energy ratio.
Studies have determined that compared to cognitively intact older adults (CIOA), older adults with mild cognitive impairment (OAwMCI) exhibit more pronounced balance and gait impairments which lead to an increased risk of falls and mobility decline. Such impairments are evident during dual-tasking (i.e., simultaneous performance of cognitive and motor task) and OAwMCI have demonstrated an increased cognitive-motor interference (deteriorated performance of either or both cognitive/motor task). Furthermore, our preliminary laboratory findings indicate that compared to CIOA, OAwMCI in response to large-magnitude treadmill perturbations exhibits poor reactive responses (first line of defense against balance loss) and are unable to modulate their responses as the magnitude of perturbation increases. Despite that conventional exercise methods offer beneficial effects; they comprise of self-initiated task-specific exercises and may not focus on training reactive responses. Additionally, due to the presence of subtle balance and gait deficits, clinical measures used may not be sensitive enough to determine the risk of fall post-training. Furthermore, these training methods incorporate multiple sessions due to which adherence to exercise training is difficult with only a fraction of the older adults benefiting from it. Therefore, it is essential to incorporate a task-specific strategy that promotes factors associated with falling like balance control, muscular responses, coordination of limbs, and cognition through which OAwMCI may acquire maximum benefits to prevent a balance loss. One feasible method, which harnesses technology that can be used to deliver balance disturbances either while standing or walking in a consistent and controlled manner, is via a custom-based motorized treadmill. The scientific rigor from preliminary studies has reported a successful reduction of falls through a single session exposing CIOA to multiple treadmill-induced perturbations during gait and has shown significant improvement in reactive responses. For that reason, this stage 1 pilot study will examine the feasibility, applicability, and tolerability of a combined cognitive, and perturbation training on biomechanical determinants associated with falls and promote physical activity: kinematic variables, muscular responses, and cognitive function.
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on archival spoken or written language samples, as measured by the area under the curve (AUC) of the receiver operating characteristic curve of the binary classifier distinguishing between amyloid positive and amyloid negative arms. Secondary objectives include (1) evaluating how many years before diagnosis of Mild Cognitive Impairment (MCI) such algorithms work, as measured on binary classifier performance of the classifiers trained to classify MCI vs cognitively normal (CN) arms using archival material from the following time bins before MCI diagnosis: 0-5 years, 5-10 years, 10-15 years, 15-20 years, 20-25 years; (2) evaluating at what age such algorithms can detect later amyloid positivity, as measured on binary classifier performance of the classifiers trained to classify amyloid positive vs amyloid negative arms using archival material from the following age bins: younger than 50, 50-55, 55-60, 65-70, 70-75 years old.
The overall (cross-sectional) objective of this study is to detect and describe the profile of AD-related blood biomarkers in a population with SCD (including individuals with MCI) with the ultimate goal of investigating their capacity to predict underlying AD pathology. Longitudinally, the β-AARC_BBRC2021 study fundamentally aims at assessing the ability of AD-related blood-based biomarkers to predict disease progression in the Alzheimer's continuum. To achieve these cross-sectional and longitudinal objectives, an exhaustive set of clinical, risk factors, cognitive, mental health and neuroimaging data will be collected, as well as blood and CSF samples, from which AD-related fluid biomarkers will be determined. As a secondary objective, we will investigate the efficacy and accuracy of the Altoida NMI as a novel digital biomarker for identifying patients with SCD or MCI that have underlying AD pathology (cross-sectionally) and to test the capacity of the Altoida NMI to track disease progression in these popoulations (longitudinally).