Active clinical trials for "Brain Injuries"

This research relates to the study of cognitive deficits related to various focal brain lesions and their localizations in the brain. it involves building a large database of behavioural responses measured during the performance of cognitive tasks in patients with focal brain injury, to allow to better understand function of brain.

MOBI-1 is a multicenter clinical trial that will evaluate the use of the Infrascanner for the monitoring of traumatic intracranial hematomas.

Approximately 150,000 children present each year to emergency departments (EDs) in the US with concussion and many more are treated by primary care physician, or outpatient specialists. Concussion is defined as a traumatically induced transient disturbance of brain function and involves a complex pathophysiological process. There is a variety of symptoms related to concussion, and the diagnosis of concussion requires the use of symptom-checklist. Since there is a various degree of the severity of those symptoms, the diagnosis is a subjective one and lacks sensitivity. One major problem is that approximately one-third of the children with concussion experience ongoing somatic, cognitive, and psychological or behavioral symptoms, referred to as persistent post-concussion symptoms. A recent study that investigated the validity a 12-point PPCS risk score revealed that it had modest validity (0.71). Moreover, one of the greatest concerns is the child's schedule return to activity. Since the basic mechanism for concussion is acceleration/ deceleration movement of axons, it is likely to be expressed in desynchronization of delta wave activity between anterior hemispheres as seen in pathological problems related to attention and/ or working memory). The aim of this proof-of-concept study is to find-out whether interhemispheric desynchronization of delta waves (IHDD) in the anterior hemispheres can identify acute concussion in children. If the investigators find that IHDD can accurately diagnose acute concussion, a second objective will be to examine whether this index can be a useful tool in the follow up of patients with persistent post-concussion symptoms.

This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The purpose of the study is to assess the impact of an Artificial Intelligence (AI) tool called qER 2.0 EU on the performance of readers, including general radiologists, emergency medicine clinicians, and radiographers, in interpreting non-contrast CT head scans. The study aims to evaluate the changes in accuracy, review time, and diagnostic confidence when using the AI tool. It also seeks to provide evidence on the diagnostic performance of the AI tool and its potential to improve efficiency and patient care in the context of the National Health Service (NHS). The study will use a dataset of 150 CT head scans, including both control cases and abnormal cases with specific abnormalities. The results of this study will inform larger follow-up studies in real-life Emergency Department (ED) settings.

The prediction of the final neurological and functional status of patients with acquired brain injury remains very uncertain despite the findings of current medicine. The aim of the study is to evaluate the clinical outcomes in patients with the most severe degree of brain injury hospitalized in the long-term intensive care unit of the Military University Hospital Prague.

The purpose of this study is to investigate the trajectory of metacognitive functioning throughout phases of recovery from neurological insult, and to determine its relationship to rehabilitation compliance and functional outcome. It is hypothesized that metacognitive accuracy improves over time, and is a significant predictor of engagement in rehabilitation activities.

This project will define the prevalence of brain health (i.e., normal cognitive, neuromotor, behavioral function) in living professional football retirees and group-matched controls through a comprehensive assessment of clinical, neuroimaging, and biomarker measures.

This study will look to validate predictive algorithms developed in a previous study where we collected relevant data from trauma registry and after using advanced signal-processing and machine-learning, determined prediction scores regarding neuroworsening and other outcomes following traumatic brain injury.

Utility of transcranial Doppler as an Early Predictor of Neurological deterioration in Mild and Moderate Traumatic Brain Injury

The goal of this experimental observation study is to figure out differently expressed biomarkers in body fluid in traumatic brain injury patients. The main questions it aims to answer is: Which RNA, protein and metabolites are differently expressed in lesion tissues? What molecular mechanism is participated in TBI? Participants will be treated by emergency operation, and their body fluid samples will be collected in emergency room and during the operation.