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Association between magnetic resonance imaging use and recovery time following concussion: a CARE consortium study.
Res Sports Med
January 2025
CARE Consortium, Indianapolis, IN, USA.
Researchers may implement magnetic resonance imaging (MRI) to evaluate neurophysiological metrics (e.g. connectivity) in athletes with sports-related concussion (SRC).
View Article and Find Full Text PDFA Narrative Review of the Effects of Internal Jugular Vein Compression on Brain Structure and Function During Periods of Head Impact.
Cureus
January 2025
Physiology, Thomas F. Frist, Jr. College of Medicine, Nashville, USA.
Subconcussive impacts are very common in the sports world and can have many negative impacts on human function, including increased risk for cognitive decline and behavioral impairments such as chronic traumatic encephalopathy (CTE). The purpose of this article is to analyze the available literature on the effects of jugular vein compression applied by a cervical collar on cerebral structure and function in the setting of chronic impact exposure. This narrative review analyzed 17 articles on brain structure and function, published between 1992 and 2022.
View Article and Find Full Text PDFConcussion in high school sports: findings from injury surveillance.
Pediatr Res
January 2025
Datalys Center for Sports Injury Research and Prevention, Indianapolis, IN, USA.
Background: We aimed to examine the epidemiology of concussions within high school (HS) boys' and girls' sports, and to assess the incidence of concussion within HS sports during the timespan inclusive of the COVID-19 pandemic.
Methods: We analyzed data captured within High School Reporting Information Online (HS RIO) during 2018/19-2022/23. Injury counts, rates (enumerated per 10,000 athlete-exposures (AEs)), and proportions were used to describe injury characteristics by sport, event type, injury mechanism, and injury history.
Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?
Inj Prev
January 2025
Carnegie Applied Rugby Research (CARR) centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
Background: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated process to identify head-on-head impacts, although this has not been applied or evaluated in rugby.
Methods: This study developed and evaluated a novel computer vision framework to automatically classify head-on-head and non-head-on-head impacts.
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