Browsing by Subject "Brain Concussion"

Now showing 1 - 5 of 5
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    Biomechanics of head impacts associated with diagnosed concussion in female collegiate ice hockey players
    (Elsevier, 2015-07-16) Wilcox, Bethany J.; Beckwith, Jonathan G.; Greenwald, Richard M.; Raukar, Neha P.; Chu, Jeffrey J.; McAllister, Thomas W.; Flashman, Laura A.; Maerlender, Arthur C.; Duhaime, Ann-Christine; Crisco, Joseph J.; Department of Psychiatry, IU School of Medicine
    Epidemiological evidence suggests that female athletes may be at a greater risk of concussion than their male counterparts. The purpose of this study was to examine the biomechanics of head impacts associated with diagnosed concussions in a cohort of female collegiate ice hockey players. Instrumented helmets were worn by 58 female ice hockey players from 2 NCAA programs over a three year period. Kinematic measures of single impacts associated with diagnosed concussion and head impact exposure on days with and without diagnosed concussion were evaluated. Nine concussions were diagnosed. Head impact exposure was greater in frequency and magnitude on days of diagnosed concussions than on days without diagnosed concussion for individual athletes. Peak linear accelerations of head impacts associated with diagnosed concussion in this study are substantially lower than those previously reported in male athletes, while peak rotational accelerations are comparable. Further research is warranted to determine the extent to which female athletes' biomechanical tolerance to concussion injuries differs from males.
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    Concussion-Related Protocols and Preparticipation Assessments Used for Incoming Student-Athletes in National Collegiate Athletic Association Member Institutions
    (Journal of Athletic Training/NATA, 2015-11) Kerr, Zachary Y.; Snook, Erin M.; Lynall, Robert C.; Dompier, Thomas P.; Sales, Latrice; Parsons, John T.; Hainline, Brian; School of Health and Rehabilitation Sciences
    CONTEXT: National Collegiate Athletic Association (NCAA) legislation requires that member institutions have policies to guide the recognition and management of sport-related concussions. Identifying the nature of these policies and the mechanisms of their implementation can help identify areas of needed improvement. OBJECTIVE: To estimate the characteristics and prevalence of concussion-related protocols and preparticipation assessments used for incoming NCAA student-athletes. DESIGN: Cross-sectional study. SETTING: Web-based survey. PATIENTS OR OTHER PARTICIPANTS: Head athletic trainers from all 1113 NCAA member institutions were contacted; 327 (29.4%) completed the survey. INTERVENTION(S): Participants received an e-mail link to the Web-based survey. Weekly reminders were sent during the 4-week window. MAIN OUTCOME MEASURE(S): Respondents described concussion-related protocols and preparticipation assessments (eg, concussion history, neurocognitive testing, balance testing, symptom checklists). Descriptive statistics were compared by division and football program status. RESULTS: Most universities provided concussion education to student-athletes (95.4%), had return-to-play policies (96.6%), and obtained the number of previous concussions sustained by incoming student-athletes (97.9%). Fewer had return-to-learn policies (63.3%). Other concussion-history-related information (e.g., symptoms, hospitalization) was more often collected by Division I universities. Common preparticipation neurocognitive and balance tests were the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT; 77.1%) and Balance Error Scoring System (46.5%). In total, 43.7% complied with recommendations for preparticipation assessments that included concussion history, neurocognitive testing, balance testing, and symptom checklists. This was due to moderate use of balance testing (56.6%); larger proportions used concussion history (99.7%), neurocognitive testing (83.2%), and symptom checklists (91.7%). More Division I universities (55.2%) complied with baseline assessment recommendations than Division II (38.2%, χ2 = 5.49, P = .02) and Division III (36.1%, χ2 = 9.11, P = .002) universities. CONCLUSIONS: National Collegiate Athletic Association member institutions implement numerous strategies to monitor student-athletes. Division II and III universities may need additional assistance to collect in-depth concussion histories and conduct balance testing. Universities should continue developing or adapting (or both) return-to-learn policies.
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    Flying After Concussion and Symptom Recovery in College Athletes and Military Cadets
    (AMA, 2020-11-02) Sharma, Tara L.; Kerrigan, Julia Morrow; McArthur, David L.; Bickart, Kevin; Broglio, Steven P.; McAllister, Thomas W.; McCrea, Michael; Giza, Christopher C.; Psychiatry, School of Medicine
    Importance: Concussions are a common occurrence in young athletes. Hypobaric hypoxemia, such as that experienced during airplane travel, can potentially cause alterations to cerebral blood flow and increased neuroinflammatory response. It remains unknown whether flying early after a concussion may influence the clinical course of injury. Objective: To determine whether there is an association between concussion recovery and airplane travel in collegiate athletes and military cadets. Design, Setting, and Participants: This cohort study was conducted by the National Collegiate Athletic Association and US Department of Defense Concussion Assessment, Research, and Education Consortium from August 3, 2014, to September 13, 2018. Participant groups were categorized by those who flew within 72 hours of injury and those who did not fly. All participants included in the final analyses had complete data of interest and only 1 injury during the study. Data analysis was performed from September 2018 to March 2020. Main Outcomes and Measures: Recovery outcome measures were defined as time (in days) from injury to return to activity, school, and baseline symptoms. Symptom and headache severity scores were derived from the Sports Concussion Assessment Tool-Third Edition. Scores for both groups were taken at baseline and a median of 2 days after injury. Results: A total of 92 participants who flew (mean [SD] age, 19.1 [1.2] years; 55 male [59.8%]) and 1383 participants who did not fly (mean [SD] age, 18.9 [1.3] years; 809 male [58.5%]) were included in the analysis of symptom recovery outcomes (analysis 1). Similarly, 100 participants who flew (mean [SD] age, 19.2 [1.2] years; 63 male [63.0%]) and 1577 participants who did not fly (mean [SD] age, 18.9 [1.3] years; 916 male [58.1%]) were included in the analysis of symptom severity outcomes (analysis 2). No significant group differences were found regarding recovery outcome measures. Likewise, there were no group differences in symptom (estimated mean difference, 0.029; 95% CI, -0.083 to 0.144; P = .67) or headache (estimated mean difference, -0.007; 95% CI, -0.094 to 0.081; P = .91) severity scores. Conclusions and Relevance: Airplane travel early after concussion was not associated with recovery or severity of concussion symptoms. These findings may help guide future recommendations on flight travel after concussion in athletes.
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    Group-wise evaluation and comparison of white matter fiber strain and maximum principal strain in sports-related concussion
    (Mary Ann Liebert, 2015-04-01) Ji, Songbai; Zhao, Wei; Ford, James C.; Beckwith, Jonathan G.; Bolander, Richard P.; Greenwald, Richard M.; Flashman, Laura A.; Paulsen, Keith D.; McAllister, Thomas W.; Department of Psychiatry, IU School of Medicine
    Sports-related concussion is a major public health problem in the United States and yet its biomechanical mechanisms remain unclear. In vitro studies demonstrate axonal elongation as a potential injury mechanism; however, current response-based injury predictors (e.g., maximum principal strain, ε(ep)) typically do not incorporate axonal orientations. We investigated the significance of white matter (WM) fiber orientation in strain estimation and compared fiber strain (ε(n)) with ε(ep) for 11 athletes with a clinical diagnosis of concussion. Geometrically accurate subject-specific head models with high mesh quality were created based on the Dartmouth Head Injury Model (DHIM), which was successfully validated (performance categorized as "good" to "excellent"). For WM regions estimated to be exposed to high strains using a range of injury thresholds (0.09-0.28), substantial differences existed between ε(n) and ε(ep) in both distribution (Dice coefficient of 0.13-0.33) and extent (∼ 5-10-fold differences), especially at higher threshold levels and higher rotational acceleration magnitudes. For example, an average of 3.2% vs. 29.8% of WM was predicted above an optimal threshold of 0.18 established from an in vivo animal study using ε(n) and ε(ep), respectively, with an average Dice coefficient of 0.14. The distribution of WM regions with high ε(n) was consistent with typical heterogeneous patterns of WM disruptions in diffuse axonal injury, and the group-wise extent at the optimal threshold matched well with the percentage of WM voxels experiencing significant longitudinal changes of fractional anisotropy and mean diffusivity (3.2% and 3.44%, respectively) found from a separate independent study. These results suggest the significance of incorporating WM microstructural anisotropy in future brain injury studies.
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    Plasma Biomarker Concentrations Associated With Return to Sport Following Sport-Related Concussion in Collegiate Athletes—A Concussion Assessment, Research, and Education (CARE) Consortium Study
    (American Medical Association, 2020-08-27) Pattinson, Cassandra L.; Meier, Timothy B.; Guedes, Vivian A.; Lai, Chen; Devoto, Christina; Haight, Thaddeus; Broglio, Steven P.; McAllister, Thomas; Giza, Christopher; Huber, Daniel; Harezlak, Jaroslaw; Cameron, Kenneth; McGinty, Gerald; Jackson, Jonathan; Guskiewicz, Kevin; Mihalik, Jason; Brooks, Alison; Duma, Stefan; Rowson, Steven; Nelson, Lindsay D.; Pasquina, Paul; McCrea, Michael; Gill, Jessica M.; CARE Consortium Investigators; Psychiatry, School of Medicine
    Importance Identifying plasma biomarkers associated with the amount of time an athlete may need before they return to sport (RTS) following a sport-related concussion (SRC) is important because it may help to improve the health and safety of athletes. Objective To examine whether plasma biomarkers can differentiate collegiate athletes who RTS in less than 14 days or 14 days or more following SRC. Design, Setting, and Participants This multicenter prospective diagnostic study, conducted by the National Collegiate Athletics Association–Department of Defense Concussion Assessment, Research, and Education Consortium, included 127 male and female athletes who had sustained an SRC while enrolled at 6 Concussion Assessment, Research, and Education Consortium Advanced Research Core sites as well as 2 partial–Advanced Research Core military service academies. Data were collected between February 2015 and May 2018. Athletes with SRC completed clinical testing and blood collection at preseason (baseline), postinjury (0-21 hours), 24 to 48 hours postinjury, time of symptom resolution, and 7 days after unrestricted RTS. Main Outcomes and Measures A total of 3 plasma biomarkers (ie, total tau protein, glial fibrillary acidic protein [GFAP], and neurofilament light chain protein [Nf-L]) were measured using an ultrasensitive single molecule array technology and were included in the final analysis. RTS was examined between athletes who took less than 14 days vs those who took 14 days or more to RTS following SRC. Linear mixed models were used to identify significant interactions between period by RTS group. Area under the receiver operating characteristic curve analyses were conducted to examine whether these plasma biomarkers could discriminate between RTS groups. Results The 127 participants had a mean (SD) age of 18.9 (1.3) years, and 97 (76.4%) were men; 65 (51.2%) took less than 14 days to RTS, and 62 (48.8%) took 14 days or more to RTS. Linear mixed models identified significant associations for both mean (SE) plasma total tau (24-48 hours postinjury, <14 days RTS vs ≥14 days RTS: −0.65 [0.12] pg/mL vs −0.14 [0.14] pg/mL; P = .008) and GFAP (postinjury, 14 days RTS vs ≥14 days RTS: 4.72 [0.12] pg/mL vs 4.39 [0.11] pg/mL; P = .04). Total tau at the time of symptom resolution had acceptable discrimination power (area under the receiver operating characteristic curve, 0.75; 95% CI, 0.63-0.86; P < .001). We also examined a combined plasma biomarker panel that incorporated Nf-L, GFAP, and total tau at each period to discriminate RTS groups. Although the analyses did reach significance at each time period when combined, results indicated that they were poor at distinguishing the groups (area under the receiver operating characteristic curve, <0.7). Conclusions and Relevance The findings of this study suggest that measures of total tau and GFAP may identify athletes who will require more time to RTS. However, further research is needed to improve our ability to determine recovery following an SRC.