View clinical trials related to Cognitive Disorder.
Filter by: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.
Cognitive disorders are common after intensive care. Currently, their diagnosis is based on clinical tests. The investigators plan to study the relationship between different neurological blood biomarkers (cytokines, S100β protein, neuron specific enolase, total Tau protein and neurofilament light chain) and the occurrence of cognitive disorders during the three months following intensive care discharge.
Insomnia is a common sleep disorder. In recent years, the incidence of insomnia is increasing worldwide. Studies point out that insomnia plays an important role in the pathogenesis of cognitive impairment. Although sleep and cognitive scales are the main methods to detect sleep quality and cognitive changes, there are problems such as strong subjectivity and poor repetition. There is an urgent need to use non-invasive and objective detection methods to assess the potential mechanisms of cognitive impairment caused by sleep disorders. Previous studies have shown that different brain states may show different neurovascular coupling (NVC) characteristics. However, after prolonged sleep deprivation, the evoked hemodynamics response was attenuated despite an increased electroencephalogram (EEG) signal response, suggesting that sustained neural activity may reduce vascular compliance. It is suggested that sleep disorder may lead to NVC disorder. However, whether sleep disorders regulate the mechanism of cognitive impairment in the brain through NVC disorders has not been demonstrated in vivo. Currently, functional magnetic resonance imaging (fMRI) can be used to study brain function and blood flow changes non-invasively. In our previous research, we combined cerebral blood flow (CBF) with mean amplitude of low-frequency fluctuation (mALFF), mean regional homogeneity (mReHo) and degree-centrality (DC), the early warning effect of fMRI features based on neurovascular uncoupling on early cognitive impairment was confirmed, providing a basis for further selection of functional imaging indicators. In conclusion, the present study proposes the scientific hypothesis that neurovascular decoupling-based MRI features are more appropriate for exploring the neural mechanisms underlying sleep disorders-induced brain cognitive impairment. The aim of this study is to establish an early warning and monitoring system for early non-invasive diagnosis and intervention of sleep-related cognitive impairment.
Background: Creatine transporter deficiency (CTD) is a genetic disorder that mainly affects the brain in males. CTD causes intellectual disability that can be mild to severe. People with CTD may have seizures and behavioral issues. They may have slow growth and tire easily. CTD may sometimes be confused with autism or other disorders. Better diagnostics are needed. The study team in an NIH study noted that the faces of children with CTD can look similar. For this natural history study, an expert will examine photos of children with CTD. Any shared traits found might help to diagnose CTD. Objective: To look for shared facial features of children with CTD. Eligibility: Males aged 2 to 40 years old with CTD who were in study 17-CH-0020. Design: Some participants in study 17-CH-0020 had pictures taken of their faces. The NIH study team wants to share these photos with a colleague in Canada. This person is an expert at evaluating how genetic disorders affect people s bodies. Participant data collected during the study may also be sent to this expert. This data may include diagnostic images and results from lab tests. Some children did not have their pictures taken during study 17-CH-0020. Parents are asked to take pictures of these children and send them to the study team. These photos can be sent to a secure portal. The photos can also be taken in-person during a clinic visit. The photos may be printed in clinical study journals. But this is not required. Parents will be asked to sign a separate consent before the photos are published.
This study aims to determine the feasibility of a randomized-controlled trial of digital cognitive behavioural therapy for insomnia (CBT-I) for sleep and cognitive performance in older adults with MCI and insomnia symptoms (50-80 years). The trial will be completed online, and participants will be recruited from the community across Australia.
NEUROCOVID is a prospective multicenter study comparing the proportion of patients with SARS-CoV-2 viral RNA at the level of the olfactory clefts in a group of cases compared to a group of controls as well as the correlations between the virological and cellular abnormalities observed in the olfactory mucosa and the severity of the clinical neurological profile
Brain 18F-FDG PET (positron emission tomography) is recognised as having a good negative predictive value in the search for a neurodegenerative origin of cognitive disorders. Indeed, a ratio of 0.1 on the occurrence of worsening cognitive disorders has been reported in case of normal brain FDG PET. However, the risk of developing objective cognitive disorders in patients with no cognitive complaints is estimated at 8% per year and the risk of developing dementia in patients with mild cognitive disorders at 22% per year. Cerebral 18F-FDG PET is a prognostic factor for the occurrence of unusual clinical manifestations (MCI) or the conversion of MCI to Alzheimer's disease, but we do not really know the impact on the longer term occurrence of cognitive impairment in patients with normal cerebral 18F-FDG PET. Only a longitudinal study will allow us to really know the true negative predictive value of a normal 18F-FDG PET scan and the factors associated with a risk of dementia in these subjects. This will allow us to better understand the prognostic impact of a normal brain 18F-FDG PET scan and to identify a sub-population that remains at risk, including in the case of normal brain 18F-FDG PET.
Nonamnestic mild cognitive impairment (naMCI) is a prodromal state characterized by deficits in executive functioning, a collection of higher-order abilities involved in organization, planning, inhibition, and complex reasoning. Research shows that individuals with naMCI have an increased risk of developing non-Alzheimer's dementia such as frontotemporal dementia and dementia with Lewy bodies, which pose substantial personal and societal costs. Accordingly, interventions that can successfully slow down or reverse the course of naMCI are needed. Goal Management Training (GMT) is a cognitive rehabilitation platform that has been studied extensively, applied clinically, and manualized into kits for clinicians (Levine et al., 2000; Levine et al., 2007; Levine et al., 2011; Stamenova & Levine, 2019). The purpose of GMT is to train individuals to periodically "STOP" what they are doing, attend to task goals, evaluate their performance, and monitor or check outcomes as they proceed. Recently, an online version of GMT has been developed and validated in order to circumvent barriers to attending in-person sessions. The purpose of the current study is to determine if the online version of GMT is effective at improving self-reported executive dysfunction in individuals diagnosed with naMCI against a control group that is receiving treatment-as-usual from their care provider. It is hypothesized that, compared to the control group, individuals receiving GMT will report a decrease in executive function deficits.
This study seeks to evaluate the efficacy and safety of NA-83 in subjects with mild cognitive impairment due to Alzheimer's Disease
This research investigates obesity and associated psychiatric symptoms and disorders in a wide range of perspectives, to demonstrate the effects of obesity on the brain. The 1st aim is to assess the psychiatric symptom profiles in the group of obese patients applying for bariatric surgery and to determine the associated environmental stress factors. While, it is known that eating disorders, mood disorders and psychiatric drugs can cause obesity, obesity can also cause many psychiatric complications such as depression and cognitive disorders. There are no multi-centered studies that are conducted in this respect, and the guidelines on pre-evaluation and follow-up of patients are also lacking. The 2nd aim is to evaluate and monitor cognitive characteristics before and after bariatric surgery in obese patients. Obese people are at increased risk of dementia and are more likely to have cognitive deficits, especially executive function problems, that can affect everyday life. For this reason, obese individuals should be examined and monitored in more detail in terms of their cognitive characteristics and the change of cognitive functions during the weight loss process. The 3rd aim is to examine the relationship between obesity, bariatric surgery and reward processing system. Studies have been limited in determining whether addiction in these people is due to a search of a continuous substance as a cognitive feature or whether it is difficult to terminate it as an impulsive behavior when encountered with a pleasurable substance, even though there is no reward seeking or reward dependence. The 4th aim is the determination of the neuroanatomical and molecular components of cognitive changes observed after bariatric surgery. During the dynamic process following bariatric surgery, a variety of metabolites, chemokines, and microbiota changes may also affect the brain health and cognition. The 5th aim is to determine factors of eating, emotional regulation, reward system, addiction and impulsivity, and other psychopathologies that cause suboptimal weight loss or weight gain after bariatric surgery. Understanding the psychological and neurobiological factors involved in these processes can improve surgical interventions and significantly increase the quality of life for patients.