View clinical trials related to Traumatic Brain Injury.
Filter by:The primary objective of this study is to evaluate the feasibility and safety of using the ketogenic diet (KD) in children who sustained moderate to severe traumatic brain injury (TBI). The secondary objective is a preliminary evaluation of the outcomes of children who have had the standard of care plus the KD, compared to those with standard of care alone. Outcome measures for the secondary objective will include: need for ventriculoperitoneal shunt, duration of unconsciousness, need for any type of craniotomy, duration of post-traumatic amnesia, acute hospitalization length of stay, and cognitive and motor function at 12 months after injury. If this study demonstrates feasibility and safety, the information related to outcomes will be used to inform the planning of a future, larger, randomized study of the efficacy of the KD in children and adolescents with TBI. Specifically, this information will be used to assist with sample size calculations for this future study.
Sleep wake disturbances compound recovery in over half of pediatric traumatic brain injury survivors, leading to impaired quality of life, and few effective interventions exist to treat this important morbidity. Therefore, this study will conduct a randomized controlled trial evaluating a melatonin intervention started during hospitalization and continued after discharge compared to placebo. The trial will investigate if this intervention is feasible, acceptable, and effective at reducing sleep wake disturbances as measured on the Sleep Disturbances Scale for Children 1-month after hospital discharge. Participants will be randomly assigned to receive the intervention (melatonin) or to the control group (placebo) with a goal of equal numbers of participants in each group and all will receive sleep education. Participants will be followed closely after consent and outcomes will be assessed at hospital discharge, and 1-month. Outcomes will focus on feasibility (ability to recruit patients into the trial) and acceptability (patient safety and satisfaction), but will also assess the effectiveness of the intervention to reduce sleep disturbances after discharge. The investigators will assess sleep using questionnaires and actigraphy (watch-like activity monitors). Exploratory outcomes will include global health outcomes.
The purpose of the study is to test whether low level electric stimulation, called transcranial Direct Current Stimulation (tDCS), on the part of the brain (i.e., presupplementary motor area) thought to aid in memory will improve verbal retrieval in military veteran participants with histories of traumatic brain injuries. The primary outcome measures are neuropsychological assessments of verbal retrieval, and the secondary measures are neuropsychological assessments of other cognitive abilities and electroencephalography (EEG) measures. Additionally, the study will examine the degree to which baseline assessments of cognition and concussion history predict responses to treatment over time, both on assessments administered within the intervention period and at follow-up.
There are no therapeutic agents that have been shown to improve outcomes from severe traumatic brain injury (TBI). Critical barriers to progress in developing treatments for severe TBI are the lack of: 1) monitoring biomarkers for assessing individual patient response to treatment; 2) predictive biomarkers for identifying patients likely to benefit from a promising intervention. Currently, clinical examination remains the fundamental tool for monitoring severe TBI patients and for subject selection in clinical trials. However, these patients are typically intubated and sedated, limiting the utility of clinical examinations. Validated monitoring and predictive biomarkers will allow titration of the dose of promising therapeutics to individual subject response, as well as make clinical trials more efficient by enabling the enrollment of subjects likely to benefit. Glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL) and high sensitivity c-reactive protein (hsCRP) are promising biomarkers that may be useful as 1) monitoring biomarkers; 2) predictive biomarkers in severe TBI trials. Although the biological rationale supporting their use is strong, significant knowledge gaps remain. To address these gaps in knowledge, we propose an ancillary observational study leveraging an ongoing severe TBI clinical trial that is not funded to collect biospecimen. The Hyperbaric Oxygen in Brain Injury Treatment (HOBIT) trial, a phase II randomized control clinical trial that seeks to determine the dose of hyperbaric oxygen therapy (HBOT) that that has the highest likelihood of demonstrating efficacy in a phase III trial. The proposed study will: 1) validate the accuracy of candidate monitoring biomarkers for predicting clinical outcome; 2) determine the treatment effect of different doses of HBOT on candidate monitoring biomarkers; and 3) determine whether there is a biomarker defined subset of severe TBI that responds favorably to HBOT. This proposal will: 1) inform a go/no-go decision for a phase III trial of HBOT by providing adjunctive evidence of the effect of HBOT on key biological pathways through which HBOT is hypothesized to affect outcome; 2) provide evidence to support further study of the first monitoring biomarkers of severe TBI; 3) increase the likelihood of success of a phase III trial by identifying the sub-population of severe TBI likely to benefit from HBOT; 4) create a repository of TBI biospecimen which may be accessed by other investigators. This study is related to NCT04565119
The purpose of this research is to investigate the effectiveness of virtual reality (VR) to improve job reentry skills in individuals with TBI.
Studies have shown that a period of sleep, even in the form of a daytime nap, after a period of training on a motor learning task can boost subsequent performance beyond that observed after an equal amount of time spent awake and resting. This leap in performance has been referred to as "off-line" motor learning because it occurs during a period of sleep in the absence of additional practice. Motor learning is an integral part of the physical and occupational therapy that patients receive after traumatic brain injury (TBI) in which various activities of daily living may need to be relearned. Targeted motor skills may include dressing (learning how to zip up a jacket or button a shirt), using a fork and knife to eat, or using technology (tapping touch screen on a cell phone or typing on a computer). Yet the potential of sleep in the form of a strategic nap as a therapeutic tool to maximize motor learning in rehabilitation therapies has not been fully realized. In addition, a growing body of research among healthy individuals has shown evidence of changes in the brain associated with enhanced performance among those who slept following training compared with those who spent the same amount of time awake. The neural mechanisms of "off-line" motor learning have not been studied among individuals with TBI. Using functional neuroimaging and measurement of brain waves, the current study will examine the mechanisms underlying this sleep-related enhancement of motor learning among individuals with TBI and determine how brain physiology may influence the magnitude of the effect. By understanding how this treatment works and identifying the factors that modulate its effectiveness we can identify which individuals will be most likely to benefit from a nap after training to improve motor learning after TBI. This can provide a more person-centered approach to treatment delivery that can maximize the effectiveness of a simple but potent behavioral intervention.
Walk recovery is one of the goals of rehabilitation programs in patients with acquired brain injury. Recent experiences have shown the effectiveness of rehabilitation programs including traditional physiotherapy in combination with robotic gait training systems (Lokomat). In this context, MRI can be used to assess the treatment effects on the muscular tissue, providing useful clinical indications for the optimization of the rehabilitation programs on the basis of the damage extension and the muscle characteristics.
Theoretical Framework & Background Cortical spreading depressions (CSD) and seizures, are crucial in the development of delayed cerebral ischemia and poor functional outcome in patients suffering from acute brain injuries such as subarachnoid hemorrhage. Multimodal neuromonitoring (MMNM) provides the unique possibility in the sedated and mechanically ventilated patients to record these electrophysiological phenomena and relate them to measures of cerebral ischemia and malperfusion. MMNM combines invasive (e.g. electrocorticography, cerebral microdialysis, brain tissue oxygenation) and noninvasive (e.g. neuroimaging, continuous EEG) techniques. Additionally, cerebral microdialysis can measure the unbound extracellular drug concentrations of sedatives, which potentially inhibit CSD and seizures in various degrees, beyond the blood-brain barrier without further interventions. Hypotheses 1. Online multimodal neuromonitoring can accurately detect changes in neuronal metabolic demand and pathological neuronal bioelectrical changes in highly vulnerable brain tissue. 2. Online multimodal neuromonitoring can accurately detect the impact of pathological neuronal bioelectrical changes on metabolic demand in highly vulnerable brain tissue. 3. The occurrence and duration of pathological neuronal bioelectrical changes are dependent on sedatives and antiepileptic drug concentrations 4. The occurrence and duration of pathological neuronal bioelectrical changes have a negative impact on functional and neurological long-term patient outcome. 5. Simultaneous invasive and non-invasive multimodal neuromonitoring can identify a clear relationship of both methods regarding pathological neuronal bioelectrical changes and metabolic brain status. Methods Systematic analysis of MMNM measurements following standardized criteria and correlation of electrophysiological phenomena with cerebral metabolic changes in all included patients. In a second step neuroimaging, cerebral extracellular sedative drug concentrations and neurological functional outcome, will be correlated with both electrophysiologic and metabolic changes. Due to numerous high-resolution parameters, machine learning algorithms will be used to correlate comprehensive data on group and individual levels following a holistic approach. Level of originality Extensive, cutting edge diagnostic methods are used to get a better insight into the pathophysiology of electrophysiological and metabolic changes during the development of secondary brain damage. Due to the immense amount of high-resolution data, a computer-assisted evaluation will be applied to identify relationships in the development of secondary brain injury. For the first time systematic testing of several drug concentrations beyond the blood-brain barrier will be performed. With these combined methods, we will be able to develop new cerebroprotective treatment concepts on an individual basis.
The purpose of this research study to find out if clinically unconscious acute traumatic brain injury patients that show brain activation on electroencephalogram (EEG) (bedside test) have better results and wake up in the future.
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.