Active clinical trials for "Brain Injuries"

This project focuses on the early prediction and diagnosis of radiation-induced brain injury in nasopharyngeal carcinoma patients. Based on the big data of imaging and serum metabonomics samples, combined with the machine learning analysis method， dynamic evolution mode of radio-metabolomics characteristics was analyzed . The potential internal relationship between brain structure and serum metabolic changes was explored, and the individualized prediction model was constructed to screen out the high-risk patients with brain injury after tumor radiotherapy, so as to provide reference for the diagnosis of radiation-induced brain injury caused by tumor. radiotherapy Intelligent diagnosis provides a new theoretical and practical basis.

To test whether measures of cortical excitability derived from motor cortex transcranial magnetic stimulation (TMS) in patients with traumatic brain injury reflect heightened excitability relative to healthy controls and whether such measures can be used to distinguish patients with post-traumatic epilepsy from patients with head trauma but no epilepsy

Discover, optimize, standardize, and validate clinical-trial measures and biomarkers used to diagnose and differentiate cardiovascular, oncologic, neurologic, and other diseases and disorders. Specifically, our research study endeavors to improve disease and disorder diagnosis to the earliest clinical states, in preclinical states, and to develop ensemble multivariate biomarker risk scores leading to cardiovascular, oncologic, neurologic, and other diseases and disorders. Additionally, the study aims to: Evaluate data analysis techniques to improve diagnostic accuracy and reduce time to diagnosis. Evaluate data analysis techniques to improve risk stratification for participants through machine learning algorithms. Direct participants to relevant and applicable clinical trials.

The goal is to derive and a clinical decision rule for safe exclusion of traumatic brain injury without neuroimaging in head-injured ED patients who take anticoagulant medications. The objectives are to: Derive and externally validate a new highly sensitive and maximally specific clinical decision rule for the exclusion of traumatic brain injury in head-injured ED patients who take anticoagulant medications; and, Estimate the sensitivity and specificity of existing head injury clinical decision rules in head-injured ED patients who take anticoagulant medications.

Visual dysfunction after mild traumatic brain injury (mTBI) is common but often remain undiscovered during longer periods of time. No valid, reliable and easy-to-use screening instrument for uncovering visual dysfunction exists. Furthermore, it is unknown whether optometric measurements currently used in assessing vision problems are consistent with patients' subjective complaints experienced in everyday life. A better understanding of patients' visual challenges combined with objective measurements, will contribute to a better and more efficient diagnostic investigation and treatment. The aim of this study is to get a better understanding of patients who are suffering from visual dysfunction after mTBI. This understanding will be gained by: developing and validating a questionnaire for uncovering subjective visual complaints in subjects with mTBI. developing eye tracking based screening tools applicable both in- and outside of optometry clinics examining relationships between self-reported data, eye tracking measurements and optometric measurements. The study will consist of N = 200 subjects. N = 100 of the subjects are suffering from mTBI (commotio group). The second group N = 100 is the non-injured group that preferably will consist of relatives to the subjects in the commotio group. The subjects in both groups have to answer the questionnaires regarding subjective visual complains, undergo optometric tests and undergo eye tracking measurements.

The purpose of this study is to examine the role of a Mechanical Diagnosis and Therapy (MDT) examination in identifying participants diagnosed with concussion who display a directional preference compared to who don't display a directional preference.

Hyponatremia (HN) is the most common electrolytic disorder in the traumatic brain injury (TBI) population, found in 17 to 51% of patients according to the series. Two etiologies predominate in the literature, the Syndrome of Inappropriate Anti Diuretic Hormone (SIADH) and the Cerebral Salt Waste Syndrome (CSW), but none has been precisely described in terms of epidemiology, risk factors or severity. Moreover, SIADH and CSH were often confused in previous works. The main goal of our study is to assess retrospectively prevalence, severity, time to onset, length, risk factors of HN in a large population of TBI patients, as well as treatment modalities and prognosis. A specific distinction was performed between SIADH or CSW.

The study aim is to improve assessment and understanding of social cognitive impairment after acquired brain injury by developing and validating a virtual reality version of The Awareness of Social Inference Test (TASIT). It is expected that the VR version of the test has comparable or better psychometric properties than the video version, and that it has improved relevance to everyday social skills. It is also expected that the VR version taxes cognitive functions more than a desktop version with identical content as the VR version.

The purpose of this observational epidemiological study is to investigate the management and the complications associated with Non Traumatic Neuro-Vascular Diseases. Data will be analysed to answer pre-defined scientific projects and to improve management of these conditions.

This protocol is aimed at collecting oculomotor response data from a variety of brain injuries and impairments, and to secondarily evaluate the functionality and ease of use of the NeuroTriage device in the ED in patients with any presumed brain injury and/or impairment. For example, prior studies in adolescents with a concussion have shown that they tend to overshoot the pattern when asked to follow the movement of the lights in the binoculars