View clinical trials related to Brain Injuries.
Filter by: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.
For this clinical demonstration study, Veterans will be assessed with a battery of questionnaires/surveys and a 1:1 clinical interview with a V-TRACTS psychologist to target domains of head injury, psychological trauma, depression, suicidality, anxiety, chronic pain and sleep, substance use and activity level. V-TRACTS will convene a weekly consensus meeting to evaluate all the data, and develop a recommendation plan. After the consensus meeting, a V-TRACTS psychologist will provide comprehensive feedback encompassing the entire assessment battery. Additionally, if warranted, the investigators will offer an optional cognitive assessment, as well as rehabilitation options that the consensus committee targets the individual Veteran's needs and also via VA telehealth or other approved online service. It will be the Veteran's choice whether he/she wants to participate in any one or more of these options.
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: 1. Establishment of a prospective registry for traumatic brain injury patients 2. Identification of nutritional and metabolic biomarkers related to prognosis of traumatic brain injury patients 3. Development of a prognosis prediction model using nutritional and metabolic biomarkers 4. Development of identification model for high-risk population of disabilities after traumatic brain injury
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.
Postural and balance disorders are common in neurological disorders. They are often associated with reduced mobility and fear of falling, which strongly limit independent activities of daily living (ADL), compromise the quality of life and reduce social participation. Here the investigators apply an existing software solution to: 1) obtain biomarkers of gait deficits in 5 neurological conditions, 2) develop an automatic procedure supporting clinicians in the early identification of patients at high risk of falling as to tailor rehabilitation treatment; 3) longitudinally assess these patients to test the efficacy of rehabilitation. High-density electroencephalography (EEG), and inertial sensors located at lower limbs and at upper body levels will be used to extract the most appropriate indexes during motor tasks. The ultimate goal is to develop cost-effective treatment procedures to prevent recurrent falls and fall-related injuries and favour the reintegration of the patient into everyday activities. The first hypothesis of this study is that clinical professionals (e.g., medical doctors and rehabilitative staff) would strongly benefit from the possibility to rely on quantitative, reliable and reproducible information about patients motor deficits. This piece of information can be nowadays readily available through miniaturized wearable technology and its information content can be effectively conveyed thanks to ad hoc software solution, like the A.r.i.s.e. software. The second hypothesis of the present study is that early identification of patients at high risk of dependence and the subsequent application of personalized treatment would allow for cost-effective treatment procedures to favor the autonomy into everyday activities. The results of this project could represent a valuable support in the clinical reasoning and decision-making process.
Approximately 1.9 million youth sustain a concussion each year, and up to 30% experience persistent post-concussive symptoms (PPCS) such as headache, dizziness, and difficulty focusing that continue for weeks or months. PPCS results in greater utilization of sub-specialty care and can impact immediate and long-term social development, cognitive function and academic success. Previous recommendations for treating PPCS have focused on cognitive and physical rest, but more recently guidelines have shifted based on new research suggesting the benefit of rehabilitative exercise for PPCS. The rationale behind using exercise to treat youth with concussion is that gradually increasing physical activity facilitates return to full function. Rehabilitative exercise has since become one of the most common approaches to treating youth with PPCS, but access is challenging since most programs require weekly centralized visits with a concussion specialist. To bridge this gap, the investigators developed a telehealth-delivered approach to treat PPCS, utilizing physical activity trackers (Fitbits) and weekly video conferences with trained research staff. They then conducted a series of pilot studies with this approach, finding excellent feasibility, acceptability, and evidence for more rapid declines in concussive symptoms compared to controls. The investigators also found preliminary evidence that mechanisms behind this intervention may stem from both physiologic processes due to increased moderate-to-vigorous physical activity (MVPA) and psychologic processes such as reducing fear- avoidance of concussive symptoms. They now propose a fully-powered randomized controlled trial (RCT) to asses the efficacy of the "Mobile Subthreshold Exercise Program" (M-STEP) for treating youth with PPCS.
Spasticity has been defined as a disorder of the sensorimotor system characterized by a velocity-dependent increase in tonic stretch reflexes (muscle tone) with exaggerated tendon jerks, resulting from hyperexcitability of the stretch reflex. The treatment goal of spasticity is Medical treatment generally combines physiotherapy with medications, depending on spasticity distribution. Systemic treatments such as oral or intrathecal baclofen are generally considered in case of generalized spasticity, whereas local treatments are considered in case of focal spasticity. Local treatments such as Botulinum Toxin type A, phenol, and alcohol present several advantages, allowing to treat of selected muscles without the risk of sedation. As stated above, they are indicated for focal spasticity but might be helpful even in the presence of generalized spasticity with identified focal goals (Bethoux et al., 2015). In particular, Botulinum Toxin type A (BoNT-A) is considered the gold standard treatment for focal spasticity, showing a level A evidence for spasticity reduction in upper- and lower-limb spasticity (Simpson et al., 2016). However, current evidence is mainly focused on post-stroke spasticity (Franceschini et al., 2014), whereas it is still limited in spasticity as a consequence of other aetiologies, such as spinal cord injury (SCI), traumatic brain injury (TBI), or multiple sclerosis (MS). Interestingly, spasticity is a major concern for the rehabilitation of these patients. The aim of this observational study is the evaluation of the clinical efficacy of BoNT-A in spasticity reduction in patients affected by neurological conditions different from post-stroke spasticity, such as SCI, TBI, and MS.
This study will evaluate if traumatic intracranial hemorrhage can be safely ruled out by using a microwave scanner (MD100) in conjunction with a combination of different brain biomarkers analyzed in serum.
This study is a two-stage, pivotal, prospective, non-randomized, multi-center, within patient comparison of the SENSE device and the standard diagnostic test, head CT scan in patients with a diagnosis of primary spontaneous ICH or traumatic intracranial bleeding for the detection and monitoring of intracranial hemorrhages.