View clinical trials related to Neuropathology.
Filter by:Electroencephalogram/event-related potentials (EEG/ERP) data will be collected from 50 participants in coma or other disorder of consciousness (DOC; i.e., Unresponsive Wakefulness Syndrome [UWS] or Minimally Conscious State [MCS]), clinically diagnosed using the Glasgow Coma Scale (GCS). For coma patients, EEG recordings will be conducted for up to 24 consecutive hours at a maximum of 5 timepoints, spanning 30 days from the date of recruitment, to track participants' clinical state. For DOC patients, there will be an initial EEG recording up to 24 hours, with possible subsequent weekly recordings up to 2 hours. An additional dataset from 40 healthy controls will be collected, each spanning up to a 12-hour recording period in order to formulate a baseline. Collected data are to form the basis for automatic analysis and detection of ERP components in DOC, using a machine learning paradigm. Salient features (i.e., biomarkers) extracted from the ERPs and resting-state EEG will be identified and combined in an optimal fashion to give an accurate indicator of prognosis.
This research project will test two new computerized technologies in the detection of brain changes related to Mild Cognitive Impairment (MCI) and dementia due to Alzheimer's disease. These technologies are: 1. Computerized cognitive battery: Cognigram (CG) Computerized assessments have multiple advantages for the early detection of subtle changes in cognition in older adults. One of their main advantages is their higher precision when measuring accuracy and speed of responses, compared to pencil-and-paper tests. They also allow a greater reliability in measures, as tests are given in a standardized format without the interference of an evaluator. Finally, by including automatized instructions and reports, they are suitable for off-site or long-distance use. The present study aims to validate the Cognigram™ (CG) computerized cognitive tool, in a prospective and longitudinal fashion, determining if changes in the CG scores over 3, 6, 9, and 12 months, can predict progression to dementia at 1-year, 2-years, and 3-years, for patients with Mild Cognitive Impairment (MCI). 2. The NeuroCatch™ Platform (NCP) Event-related potentials (ERP) are non-invasive, low-cost, electrophysiological methods that allow recording of the electrical activity of the brain in vivo through an Electroencephalogram (EGG). They are free from cultural and educational influence and can provide insights into the cognitive processes. ERP could enable to detect brain changes and determine the prognosis of MCI subjects. The NCP, an investigational medical device system developed by NeuroCatch Inc., consists of an EEG software and hardware that captures brain health information. It offers a quick (i.e., 10 minutes for EEG preparation and 6 minutes for each task of EEG recording), simple (i.e., includes only 8 electrodes), and easy-to-use solution (i.e., includes a computerized software that automatically analyzes data and outputs graphs in less than 1 minute) for the acquisition of EEG and ERP.