View clinical trials related to Cognitive Dysfunction.
Filter by:This is a double-blind, randomized controlled trial designed to test the effects of cannabidiol (CBD) on validated biomarkers of Alzheimer's disease (AD) progression, and behavioral, neurocognitive, and clinical measures, with putative mechanisms of action.
Background: In recent years, the changes of cognitive function in mild cognitive impairment have attracted attention. Methods/design: We will follow up at 3. The primary outcome will be the measurement of cognitive function using neuropsychological assessment scales such as MOCA, MMSE, etc... Minor variables will be included plasma biomarkers (Aβ, Tau, GFAP, etc.), multimodal brain electrophysiology (P300, VP300, heart rate variability, etc.), and neuroimaging indicators (NODDI).
Androgen Deprivation Therapy (ADT) is associated with cognitive impairment and dementia in men with prostate cancer. Pre-clinical data suggest that ADT-induced hypogonadism leads to accumulation of beta-amyloid plaques in the hippocampus, a pathological hallmark of Alzheimer's Disease (AD). Neuroimaging Functional magnetic resonance imaging (fMRI) studies also demonstrate that ADT decreases metabolic activity in the parietal, occipital, and prefrontal cortices. Multiple prospective cohort and population-based clinical studies have been conducted to test the association between ADT and cognitive impairment and/or dementia. Plasma biomarkers have been developed to predict brain amyloidosis, a key pathological feature of AD and a risk factor for developing dementia due to AD. The advantage of a blood-based assay is the lower cost, invasiveness, and time compared to cerebrospinal fluid (CSF) and Positron Emission Tomography (PET)-based biomarkers.
Subjective cognitive decline-SCD is a subclinical cognitive impairment subjectively experienced without being detectable from a diagnostic and neuropsychological perspective. It can negatively impact on patient's frailty and quality of life and it may be prodromal to severe cognitive impairment. Currently, only a few screening tools focusing mainly on memory complaints exist. The aim of this study is to analyze if a new screening tool called MASCoD (Multidimensional Assessment of Subjective Cognitive Decline) can detect and monitor the SCD, predicting the risk of developing severe cognitive decline over time. Specifically, the investigators have the following aims: primary objectives: 1. To assess the construct validity and tune the clinical cutoffs of the new instrument through the correlation of MASCoD scores with neuropsychological evaluation and brain 18F-FDG-PET. 2. To assess the clinical validity (predictive capability) of the new instrument through a classification model (dependent variable: brain 18F-FDG-PET examination; independent variable: MASCoD; control variables: gender, age and neuropsychological evaluation). Secondary objective: To evaluate the suitability of MASCoD as tool for the monitoring of patients over time. Specifically, the investigators want to evaluate if the MASCoD score is able to assess the effects of a cognitive treatment and, in turn, to identify outpatients who most likely will benefit from it. After the multidimensional evaluation at T0, the participants will be randomly allocated into an experimental group and a wait list control group. Specifically, cognitive training will be offered by means of technological devices (Neurotablet). At T1, all outpatients (experimental group and wait list control group) will be evaluated through MASCoD and the extensive neuropsychological evaluation for the second time.
The purpose of this study is to develop and explore the effects of virtual reality based natural environment intervention programs on improving attention, emotion, and cognitive function of older people. The study has three stage. The first stage is to develop and verify the effects of virtual natural environment on attention recovery and emotional recovery of institutional elders. The second stage is to evaluate the attention recovery and emotional effects of different types of virtual natural environments on institutional elders. The third stage is to test effects of the virtual natural environment intervention program improved attention, cognitive function, anxiety and depression in the institutionalized elders compared with the control group.
Inattentiveness and impulsivity in healthy adults and individuals with attention deficit hyperactivity disorder (ADHD) diminish these individuals' quality of life. Cortical hypometabolism has been hypothesized to contribute to inattentiveness in ADHD. Transcranial photobiomodulation (tPBM) is a safe and non-invasive modality for activation of the prefrontal cortex. tPBM in healthy adults has been shown to augment brain oxygenation, cognition, and mood. The cognition-enhancing effect of tPBM on sustained attention in adults with ADHD remains unstudied. The investigators will evaluate whether tPBM administration to adults with and without ADHD can improve their attention. Each participant will be screened for eighteen criteria based on the Diagnostic and Statistical Manual (DSM-IV, text revised), using the validated instrument Adult ADHD Self-Report Scale (ASRS-v1.1). Blinded participants will be randomized into (I) Active-tPBM or (II) Sham-tPBM groups. After undergoing an 8-minute administration of Sham or 1064 nm tPBM to the lateral and medial right prefrontal cortex, each participant will complete a 14-minute, computer-based Conner's continuous performance task-3 (CPT-3). The investigators will examine whether adults with and without ADHD who receive Active-tPBM improve in measures of inattention, impulsivity, sustained attention, or vigilance compared to the Sham-tPBM group. Cognitive assessments of attention like the CPT-3 may evaluate the efficacy of tPBM to increase cortical metabolism in healthy adults and individuals with conditions like ADHD. The investigators anticipate their investigation will be a starting point for more sophisticated studies that focus on the implications of tPBM on cognition.
The goal of this clinical trial is to learn about how genetics and the response to stress predicts cognitive decline in individuals with mild cognitive impairment. The main question[s] it aims to answer are: - Does the hormone response to acute stress predict the degree of cognitive impairment following acute stress? - Do genes associated with the risk for Alzheimer's disease influence the relationship between stress hormone response to stress and cognitive impairment following stress? - Do cognitive impairment following acute stress and genes associated with the risk for Alzheimer's disease predict cognitive decline and change in biomarkers for Alzheimer's disease 2 years later? Participants will have 3 in-person study visits. The first 2 will occur at baseline and the 3rd visit will occur 2 years later. During the visits, participants will provide blood and saliva samples, undergo a 10-minute social stress procedure, complete questionnaires, and take tests of memory and other thinking skills. Someone who knows the participant (a "study partner") will be asked questions about the participant's daily functioning at the first and 3rd study visits.
Alzheimer's disease dementia (AD) is a debilitating and prevalent neurodegenerative disease in older adults globally. Cognitive impairment, a hallmark of AD, is assessed through verbal tests that require high specialization, and while accepted as screening tools for AD, general practitioners seldom use them. AD can be diagnosed with expensive, invasive neuroimaging and blood tests, but these are usually conducted when cognitive functioning is already severely impaired. Thus, finding a novel, non-invasive tool to detect and differentiate mild cognitive impairment (MCI) and AD is a prime public health interest. Self-figure drawings (a projective tool in which individuals are asked to draw a picture of themselves), are easy to administer and have been shown to differentiate between healthy and cognitively impaired individuals, including AD. Convolutional Neural Network (CNN) (a type of deep neural network, applied to analyze visual imagery) has advanced to assess health conditions using art products. Therefore, the proposed study suggests utilizing CNN-based methods to develop and test an application tailored to differentiate between drawings of individuals with MCI, AD, and healthy controls (HC) using 4,000 self-figure drawings. This
The goal of this clinical trial is to evaluate the effect of catheter ablation of persistent atrial fibrillation on cognitive function in patients with mild cognitive impairment. Participants will be randomized into antiarrhythmic drugs alone or atrial fibrillation ablation + antiarrhythmic drugs.
A large series of recent studies have documented the frequency of the slowing of the action in brain diseases, especially vascular and neurodegenerative diseases. In stroke, the predictive value of action slowing at the acute phase for predicting post-stroke functional outcome remains poorly investigated. In neurodegenerative diseases, the diagnostic relevance of the slowing at the prodromal stage remains unknown and this diagnostic requires new tests. Finally, in terms of anatomical determinants, few studies have studied the determinants of action slowing. The objectives of this project are to Determine the diagnostic and prognostic value of action slowing assessed with new quick tests in patients with acute stroke (Neurovascular Unit) and cognitive neurodegenerative disorders (Alzheimer Disease (AD), Lewy Body disease (LBD), Fronto Temporal lobar degeneration (FTLD), Cortico Basal Degeneration (CBD) and Progressive Supra Nuclear Palsy (PSNP)) and to define the lesion determinants with VBM and VLSM