Active clinical trials for "Cognitive Dysfunction"

The purpose of this study is to determine the sleep patterns of subjects with or without sleep disturbances (insomnia, sleep apnea) and compare these findings with their previous FDG/PIB PET, structural MRI and brain blood flow scams performed during their participation in the Following studies 'Alzheimer's Disease Core Center (ADCC) Clinical Evaluation' (IRB: 2942), MRI Progression Markers of Cognitive Decline in the Elderly' (IRB:09-0586), or 'Imaging Neuro inflammation in Alzheimer's Disease with [11C] Arachidonic Acid (AA) and PET'(IRB: 10-00442).

General and Spinal Anesthesia can be used in geriatric patients in orthopedic surgery. Post-op cognitive dysfunction can be seen in orthopedic surgeries in this group of patients. In this study, the investigators aimed to compare cognitive functions between spinal and general anesthesia using cerebral and systemic oxygenation, hemodynamic data and pre-op, post-op cognitive function tests.

The purpose of this study prospective observational study is to determine cognitive dysfunction incidence after thoracic surgery. We also evaluate evaluate the role of cerebral oxygen desaturations and hypertension as risk factors for post-operative cognitive dysfunction (POCD) in patients undergoing lung resection.

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.

Prior studies have shown that programs that focus on promoting brain health and managing lifestyle risks (such as poor diet, obesity, physical inactivity, sleep issues, loneliness) may help in preventing or lowering the risk of dementia. To address this, investigators have developed the CAN-THUMBS UP program to conduct studies that target lifestyle risk and focus on dementia prevention. An online Brain Health Support Program (BHSP) has been developed. The BHSP is an educational program designed to teach about dementia. Before the full BHSP is offered to a large group, we are conducting an initial pilot study to help assess the usability of the program.

This is an ancillary study of an intervention study (NCT04570709). The parent study is a single institution, feasibility trial of 20 (10 control and 10 intervention) patients with the primary objective of assessing feasibility, acceptability, and change in pre and post measures of symptoms, function, and quality of life by administering the Palliative and Collaborative Care InTervention (PACT). We will further assess cognitive function in the patients who participate in the control of the parent study.

This research aims at analysing the profile of the elderly with cognitive impairment (IC) and inquiring about the mental illnesses that cause cognitive impairment of a population (elderly admitted to nursing homes with a high incidence).

In recent years damage to the nerve fibers in the retina has been experienced as an early sign of complications resulting from type 2 diabetes. In addition, it has been presented that people with type 2 diabetes are at increased risk of developing brain diseases, such as mild memory impairment and Alzheimer's disease, as well as mental illness in the form of depression. The eye corresponds to be a protruding part of the brain which means the brain and the eye share common features. Currently it is time and cost consuming to asses changes in the brain, but recent research has shown that patient friendly eye examinations can detect nerve loss brain diseases. Recent studies have shown that depression can also have a physiological component, which can be measured by changes in structures in the retina of the eye. In this research project, we will conduct a clinical study, to assess whether there is an association between changes in the retina of the eye (e.g. vascular structure, retinal thickness and oxygen saturation) and mild memory impairment and depression respectively in people with type 2 diabetes. The clinical study will help to clarify the possibility of including patient-friendly eye examinations in the assessment of minimal memory impairment and depression in patients with type 2 diabetes. 200 people with type 2 diabetes will be invited to participate in a clinical cross-sectional study. The Funen Diabetes Database will be used as recruitment tool. Participants will undergo a thorough eye examination as well as neuropsychological examinations for signs of mild memory impairment. They will also complete questionnaires regarding depressive symptoms. Overall, the research project will help to create awareness in this area among both healthcare professionals and patients. Early risk detection could mean better diabetes care and fewer complications, which will have a major impact on quality of life and contribute to socio-economic gains. Any findings may contribute to the discussion of individualized screening and treatment if some individuals within this group are at increased risk of developing memory impairment or depression.

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.

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, as measured by the AUC of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms. Secondary objectives include (1) evaluating whether similar algorithms can detect amyloid-specific cognitive impairment in the cognitively normal (CN) and MCI Arms respectively, as measured on binary classifier performance; (2) whether they can detect MCI, as measured on binary classifier performance (AUC, sensitivity, specificity, Cohen's kappa), and the agreement between the PACC5 composite and the corresponding regression model predicting it in all Arms pooled (Wilcoxon signed-rank test, CIA); (3) evaluating variables that can impact performance of such algorithms of covariates from the speaker (age, gender, education level) and environment (measures of acoustic quality).