Active clinical trials for "Brain Injuries, Traumatic"

Severe brain injury (SBI) is one of the world's leading causes of death and disability in young adults, but its peripheral vascular consequences in humans are poorly understood. This prospective, monocentric, pathophysiological study aims to investigate differences in vasoreactivity in the anterior aspect of the contralateral forearm at the most injured cerebral hemisphere between patients with severe head trauma and patients with severe trauma without associated brain injury matched on sex and age (+/- 5 years).

To identify nutritional and metabolic biomarkers that are related to the prognosis of traumatic brain injury patients, and to develop a prognosis prediction model using biomarkers Study Objectives: Establishment of a prospective registry for traumatic brain injury patients Identification of nutritional and metabolic biomarkers related to prognosis of traumatic brain injury patients Development of a prognosis prediction model using nutritional and metabolic biomarkers Development of identification model for high-risk population of disabilities after traumatic brain injury

This study is looking at the specific role of an exercise prescription on recovery from concussion symptoms in the general population.

This is a research study that aims to examine whether Veterans with mild Traumatic Brain Injuries are at risk for dementia by studying their memory, brain wave activity, brain structure and proteins that can be elevated after brain injury and in dementia.

The purpose of the study is to validate the clinical outcome in patients with closed head injuries (GCS 14-15, ages 18-85) who are being evaluated for head trauma, integrating the BrainScope One structural injury classifier (SIC) algorithm, with focus on SIC negative classification. In addition, to assess functional impairment (concussion) in these patients, results from Brain Function Index (BFI) or Concussion Index (CI) algorithms will be used for analysis.

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

In this study, high-throughput screening and multi-omics (transcriptomics and proteomics) joint analysis technology will be employed to explore potential CTE/TES biomarkers (RNA and protein) in blood and its exosomes. Thereafter, these biomarkers will be combined with the reported TBI biomarkers to create a novel set of CTE/TES molecular diagnostic signatures. The findings may open a new avenue for the clinical diagnosis of the disease and the future research on its therapeutic strategy.

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 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.