Active clinical trials for "Cognitive Dysfunction"

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).

Approximately 50% of patients with hepatitis C have complaints of fatigue and cognitive deficits even before the development of significant hepatic impairment.

Brucellosis is a common zoonotic infection in many parts of the world including the Mediterranean and Middle Eastern countries. Neurobrucellosis may develop at any stage of disease and may have widely variable manifestations, including encephalitis, meningoencephalitis, radiculitis, myelitis, peripheral and cranial neuropathies, subarachnoid hemorrhage, and psychiatric manifestations.

The investigators conducted a prospective observational pilot study to explore the incidence of peri-operative covert strokes (detected by brain MRI) and the potential impact on delirium and cognitive decline in post-operative cardiac surgery patients at the Hamilton General Hospital. This pilot study assessed the feasibility of a larger prospective international cohort study exploring this objective.

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.

Background : The supplementary motor area is the most common/preferential brain location of LGG. This area plays an important role in many motor and cognitive functions such as motor initiation, bimanual coordination and executive functions. Many studies describe the supplementary motor area syndrome resulting from lesions in this area. News managements for LGGs consisting in intraoperative mapping in awake patients reduce significantly neurological disorders and increase also the overall survival . However, the literature does not provide data concerning motor and cognitive functions in a long term and their consequences in the quality of life of patients. Objective : The aim of our research project is to identify whether there are some motor or neurocognitive deficit in the short and the long term in a population of patients who have medical story of LGG resection in the supplementary motor area.

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).

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.

Develop a game-based upper-extremity motor and cognitive rehabilitation system using custom and adaptable virtual reality simulations. Perform usability study on 2 elderly healthy volunteers and 2 breast cancer survivors with lasting cognitive impairments following chemotherapy, so to improve the product design. The usability evaluation will be done at NJ Bioscience Center (North Brunswick, NJ).

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).