View clinical trials related to Concussion, Intermediate.
Filter by:In this study, the investigator plans a randomized trial of active rehabilitation and standard care for acute concussion management. The investigator hypothesizes that patients with acute concussions managed with active rehabilitation will have decreased risk of prolonged concussion symptoms.
This study is designed to collect data which will be used to associate changes in EEG, neurocognitive performance, eNPC and clinical symptoms in concussion subtypes. The study will recruit males and females, 13-50 years old, from Concussion Centers/Programs, Sports Venues and Emergency Departments (ED) across the country, over an 18-month period (Phase 2, 12 months for Algorithm Development and Norming, and Phase 3, 6 months for Validation).
This study (Part 3) is designed to build a database including EEG, neurocognitive performance, clinical symptoms, history and other relevant data, which will be used to derive a multimodal EEG based algorithm for the identification of concussion and tracking of recovery.
This study is Part 2 of data collection from 13-25 years old subject population for validation of previously derived algorithms. This data will be combined with that collected under NCT02957461 (Part 1 with subject age range 18-25 years) for the final analyses of validation of the algorithms.
200 adolescent rugby players (aged 15-19) from the Senior Cup Teams of 5 Rugby Playing schools (Members of Irish Schools Rugby) will be invited to enroll for inclusion in the study. The study will collect data on brain health, including computer based skill testing, eye tracking and balance and on task completion, cover existing tests in the established SCAT 3 alongside response to exercise testing and a clinical examination including baseline blood tests known to influence recovery from concussion in a rugby playing population of adolescent schoolboys. The initial data will be taken before the 2016/2017 season starts. The volume of rugby training and match play will be recorded along with activity monitoring in general. For those subjects who sustain concussion a dedicated clinic will provide all after care including repeat clinical examination and magnetic resonance imaging along with a graduated return to exercise and a compressive rehabilitation programme at Sports Surgery Clinic (SSC). A Consultant Sports Physician will manage the return to play programme with an exercise, cognitive, balance, eye movement and neck strength programme.
This is a prospective, non-blinded, matched control study of young athletes (ages 10-28 years old) in collegiate sports. The cohorts are defined in accordance to the athlete's exposure of injury. All subjects will complete a minimum of one recording based on their assigned cohort. Concussed athletes will complete an additional 3 weeks of follow-up recordings post injury. The symptomatic evaluation, physical examination, neurological baseline testing, and BrainPulse recordings will be entered in a database to determine clinical outcome and assess device utilization.
This study is Part 1 of data collection from 18-25 years old subject population for validation of previously derived algorithms. This data will be combined with that collected under NCT03671083 (Part 2 with subject age range 13-25 years) for the final analyses of validation of the algorithms.
The purpose of this study is to determine the sensitivity and specificity of an aid in assessment of concussion based on eye-tracking, in comparison to a clinical reference standard appropriate for the Emergency Department (ED) or concussion clinic.
This study (Part 2) is designed to build a database including EEG, neurocognitive performance, clinical symptoms, history and other relevant data, which will be used to derive a multimodal EEG based algorithm for the identification of concussion and tracking of recovery. In addition, neuroimaging will be conducted at time of injury and following Return to Play (RTP).
This study (Part 1) is designed to build a database including EEG, neurocognitive performance, clinical symptoms, history and other relevant data, which will be used to derive a multimodal EEG based algorithm for the identification of concussion and tracking of recovery. In addition, neuroimaging will be conducted at time of injury and following Return to Play (RTP).