View clinical trials related to Cognitive Dysfunction.
Filter by:This study evaluates the feasibility of an early occupational therapy (OT) protocol in critical adult patients requiring mechanical ventilation with Covid-19.
General objectives of the project Defining healthy ageing factors; Setting up content-related bases of the international excellence centre (SLO-ITA) in the field of health of elderly citizens; Raising awareness on the significance of healthy ageing, social inclusion and mobility of less privileged populations (the elderly); Reducing the costs of health care; Connecting the existing health care, social and private entities and improving their mutual coordination.
The purpose of this study is to determine whether a non-invasive brain stimulation technique, transcranial direct current stimulation (tDCS), combined with traditional cognitive therapy will improve cognitive function in patients with subacute stroke.
The prevalence of neurodegenerative diseases is expected to increase over the next years, in parallel with the aging of the world population. Therefore, it is important to identify new methods to prevent, delay or stop the neurodegenerative waterfall responsible for dementia conversion. To date, there is no fully proven pharmacological treatment for cognitive impairment and the available pharmacological treatments have limited efficacy because consist in symptomatic drugs with adverse side effects. On this point, non-pharmacological intervention may represent adjunctive therapy to medications in order to prevent or delay the onset of the cognitive deficits or dementia. Recently we evaluated the effectiveness of a computerized cognitive training (CoRe) in patients with early cognitive impairment. The main goal of the present protocol is to evaluate the efficacy of the home-based version of CoRe (Home CoRe). To this end, mild dementia or early cognitive impairment, and persons with Subjective Cognitive Impairment (SCI) are enrolled and randomly assigned to the experimental group (Home CoRe) or control group (CoRe). All patients are evaluated before (T0) and after (T1) treatment with an exhaustive neuropsychological assessment. Furthermore, follow-up visits are scheduled 6 months (T2) and 12 months (T3) after the end of the treatment.
The COgnitive and Physical Exercise to improve Outcomes after Surgery (COPE-iOS) study is testing the hypothesis that a pragmatic program combining computerized cognitive training and physical training throughout the perioperative period will improve long-term cognitive and disability outcomes in older surgical patients at high risk for decline. To accomplish these goals, the Investigators are randomizing 250 patients ≥60 years old undergoing elective major non-cardiac surgery with expected hospitalization ≥3 days to a pragmatic comprehensive training program (computerized cognitive training and supervised progressive physical exercise) or to active control (control computer game, stretching exercises) for 2-4 weeks prior to surgery and for 3 months after discharge. At baseline and after discharge, the Investigators will assess global cognition, activities of daily living, depression, endothelial and blood brain barrier function (blood biomarkers), and neuroimaging (anatomical and functional MRI). In this early stage trial, the Investigators will determine if certain subgroups benefit most, program aspects with greatest effect on outcomes, mechanistic associations with outcomes, and additional exploratory analyses.
Presently, few studies have evaluated the clinical impact of rTMS in Alzheimer's disease. Though some studies have demonstrated an improvement, there have been conflicting results, as others do not seem to demonstrate beneficial effects. Furthermore, it is the combined application of rTMS with cognitive training that could represent a real turning point in interventions aiming to slow down cognitive decline resulting from AD. Research has shown that the best way to promote the strengthening of a network is to stimulate the area while simultaneously activating the network (i.e. through cognitive training) which supports the specific function of interest. Recently, there have been new protocols from animal model research showing that "bursts" of repetitive stimulation at a high theta frequency induce synaptic plasticity in a much shorter time period than required by standard rTMS protocols. This type of rTMS stimulation, theta-burst stimulation (TBS), is therefore even more compelling as a therapeutic intervention given that it includes the benefits previously ascribed to other rTMS protocols, but requires less administration time. Furthermore, studies conducted using both types of stimulation suggest that TBS protocols are capable of producing long term effects on cortical excitability that exceed the efficacy of those using standard rTMS protocols. This project offers patients the possibility of accessing an innovative non-invasive, and non-pharmacological treatment. The goal is to evaluate the clinical efficacy TBS in patients diagnosed with mild cognitive decline (MCI) and AD, verifying if TBS in conjunction with cognitive training produces results better than those obtainable with only one of the two methodologies alone. Patients will be evaluated throughout the full scope of the treatment period, through clinical assessments and neuropsychological evaluations. We will examine neuroplastic changes by investigating the neural correlates underlying improvements using the multimodal imaging technique: TMS-EEG co-registration. A secondary objective will be to define the most effective stimulation protocol, verifying if TBS applied continuously (cTBS) or intermittently (iTBS) produces better behavioral outcomes. The results will be crucial to gain a better understanding of the mechanisms through which brain stimulation contributes to the promotion of neuroplasticity, and the efficacy of TBS combined with cognitive training.
Our study objective is to widely implement and evaluate a user-centered, scalable, electronic health record (EHR)-linked strategy for the routine detection of cognitive decline among diverse primary care settings. This strategy, called ToolboxDetect, will provide an efficient and sensitive cognitive screen that can be easily implemented in everyday clinical settings, and is responsive to patient, family, and caregiver concerns for potential symptoms of cognitive decline (CD) and cognitive impairment (CI).
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 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 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.
This is a prospective multicenter cohort study, which will determine the prevalence of preoperative cognitive impairment (CI) using the Modified Telephone Interview for Cognitive Status (TICS- M), Eight-items interview to Differentiate Aging and Dementia (AD8), Telephone Montreal Cognitive Assessment (T-MoCA), and a single cognitive question from the Centers for Disease Control and Prevention (CDC). We would determine the (1) the diagnostic accuracy (sensitivity, specificity, and area under the curve (AUC)) of the AD8, CDC single cognitive question, and T-MoCA against the TICS-M and (2) the correlation between CI and measures of postoperative delirium, sleep disturbances, functional disability, instrumental activities of daily living (IADL), depression, quality of health, frailty, and pain in older surgical patients. This study will target older patients from the pre-operative clinics at Toronto Western Hospital and Mount Sinai Hospital (MSH), Toronto. Research staff will identify eligible patients who are scheduled for elective non-cardiac surgery. Written informed consent to participate in the study will be obtained from all patients.
Cognitive deficit is common in patients who have undergone whole brain or partial brain radiotherapy. To counteract intellectual deterioration, the conventional strategies includes drug- based treatments such as donezepil and memantine, which have shown to only provide marginal improvement and, cognitive training regimens, both of which are usually administered at fixed dose/intensities often leading to sub-optimal responses. This study aims to address this clinically relevant problem by harnessing the CURATE.AI platform to identify N-of-1cognitive training profiles the can enhance learning trajectories through individualised calibration and training regimens. CURATE.AI is a phenotypic personalised medicine (PPM) platform that correlates a patient's phenotypic response (cognitive performance) to a certain input (training intensity) based exclusively on the patient's data. This PPM platform is independent of biological system or interventional agent and can be applied to any disorder treatment where dosing/intensity could be better personalised. CURATE.AI is expected to optimise/personalise cognitive training in post-brain radiotherapy patients by dynamically modulating the intensity of a digital cognitive test battery that measures executive processing, multitasking and perceptual learning tasks. In addition, this clinical feasibility trial aims to assess this cognitive test battery as a potential analogous or complementary diagnostic tool as compared to traditional cognitive evaluations performed by a clinician.