View clinical trials related to Cognitive Dysfunction.
Filter by:Efficient and user-friendly paradigms to detect cognitive impairment, including dementia are needed in primary care. The TabCAT Brain Health Assessment accurately detects cognitive impairment via an appealing tablet interface with automated scoring and EMR integration. This study will evaluate the effectiveness of the paradigm on detection rates and other brain health outcomes via a pragmatic cluster randomized trial in 26 Kaiser Southern California primary care clinics.
Early cognitive assessment of critically-ill acute respiratory distress syndrome (ARDS) patients with delirium using a multidimensional electrophysiological evaluation battery (mEEG) to identify and characterize the neural correlates of cognitive dysfunctions associated with delirium (vigilance, attention, semantic and lexical processing, self-processing), and to develop a prognostic evaluation of neurocognitive and psychological disorders using an innovative non-behavioral approach.
Obstructive sleep apnea (OSA) is recurrent episodes of partial or complete obstruction of the upper airway during sleep that causes intermittent hypoxia and sleep fragmentation and leads to cardiometabolic and neurocognitive sequelae. Chronic intermittent hypoxia, sleep fragmentation of OSA, and insufficient sleep have been significantly associated with higher risks of neurocognitive impairment, including mild cognitive impairment (MCI) and Alzheimer's disease. Thus, sleep and circadian function might be modifiable neurocognitive impairment factors. The significance of the study is to understand the relationships of MCI with sleep apnea and sleep-related symptoms, which helps pave the groundwork for further research.
Age-related hearing loss (ARHL), like neurodegenerative diseases, appears insidiously with age. As major public health issues, they are nonetheless under-diagnosed because the presence of one can hinder the objectification of the other. The CogAudio project aims to detect early and in an ambulatory mode in a memory centre a speech perception disorder in noise thanks to the VRB test in patients weakened by cognitive disorders.
This study will test the feasibility and effectiveness of an innovative model of care for cognitively impaired patients with heart failure. This program aims to improve cognition, reduce dementia risk and cardiovascular events, and will be supported by innovative digital technology for wide scale rollout and implementation. Findings from this research will transform the way healthcare is delivered to cognitively impaired patients with heart disease who have a very high risk of developing dementia.
This is a prospective, randomized, open label, parallel,6-month study to explore and evaluate the therapeutic effects of Henagliflozin on the cognitive function, olfactory function, and odor-induced brain activation in T2DM patients with mild cognitive impairment (MCI).
Patients with mild cognitive impairment aged 50-80 years old were recruited in Shiyan City, Hubei Province, and divided into intervention group and placebo group. They were given yeast β-glucan capsules and starch capsules, respectively, for 6 months, in order to explore whether yeast β-glucan can improve cognitive function of patients with mild cognitive impairment by regulating gut microbiota and its metabolites.
The goal of this observational study is to compare the perioperative EEG characteristics and the incidence of short-term cognitive dysfunction in patients with postoperative delirium and non-postoperative delirium after elderly (> 65 years old) patients undergoing major gastrointestinal surgery under general anesthesia. The main question it aims to answer are: • The correlation between postoperative cognitive dysfunction and postoperative EEG features was evaluated.• To analyze the correlation between EEG characteristics and clinical risk factors of delirium after major abdominal gastrointestinal surgery under general anesthesia in elderly patients.Participants will collect EEG before and after operation and collect the incidence of postoperative cognitive function to explore the mechanism of postoperative delirium and predict postoperative cognitive dysfunction.
Alzheimer's disease (AD) is the most common dementia and has been one of the most expensive diseases with the highest lethality. With the rapid increase of the aging population, more and more burdens will be posed on society and economics. The manifestations of AD are the progressive loss of memory, language and visuospatial function, executive and daily living abilities, and so forth. The Pathophysiological changes of AD occur 10-20 years before the clinical symptoms, while there is still a lack of effective strategy for early diagnosis. Mild cognitive impairment (MCI) is considered to be a transitional state between healthy aging and the clinical diagnosis of dementia and has received increasing attention as a separate diagnostic entity. To make the diagnosis, doctors ought to compressively consider the multimodal medical information including clinical symptoms, neuroimages, neuropsychological tests, laboratory examinations, etc. Multimodal deep learning has risen to this challenge， which could integrate the various modalities of biological information and capture the relationships among them contributing to higher accuracy and efficiency. It has been widely applied in imaging, tumor pathology, genomics, etc. Recently, the studies on AD based on deep learning still mainly focused on multimodal neuroimaging, while multimodal medical information requires comprehensive integration and intellectual analysis. Moreover, studies reveal that some imperceptible symptoms in MCI and the early stage of AD may also play an effective role in diagnosis and assessment, such as gait disorder, facial expression identification dysfunction, and speech and language impairment. However, doctors could hardly detect the slight and complex changes, which could rely on the full mining of the video and audio information by multimodal deep learning. In conclusion, we aim to explore the features of gait disorder, facial expression identification dysfunction, and speech and language impairment in MCI and AD, and analyze their diagnostic efficiency. We would identify the different degrees of dependency on multimodal medical information in diagnosis and finally build an optimal multimodal diagnostic method utilizing the most convenient and economical information. Besides, based on follow-up observations on the changes in multimodal medical information with the progress of AD and MCI, we expect to establish an effective and convenient diagnostic strategy.
The goal of this clinical trial is to compare the effect of receiving the technology-based training along with the conventional therapy to the conventional therapy alone on executive functions among people with traumatic brain injury with mild to moderate cognitive deficit. It aims to answer: - If there is significant improvement in executive function skills among people with traumatic brain injury receiving technology-based training along with conventional therapy when compared to people with traumatic brain injury receiving conventional therapy alone. - To see if the demographic variable has any effect on the cognitive improvement Participants will in the intervention group will be given 45 minutes of extra training session using technology along with their usual rehabilitation session. And Participants in the control group will be receiving the usual rehabilitation sessions. Researchers will compare the changes in the outcome measures between the intervention and control group to see if the technology-based training along with conventional therapy had significant effect on executive skills among people with traumatic brain injury.