Literature DB >> 34549342

Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards.

Nicholas J Cecchi1, August G Domel1, Yuzhe Liu1, Michael Zeineh2, David B Camarillo1, Gerald Grant3, Eli Rice4, Rong Lu5, Xianghao Zhan1, Zhou Zhou1, Samuel J Raymond1, Sohrab Sami4, Heer Singh4, India Rangel4, Landon P Watson1, Svein Kleiven6.   

Abstract

Repeated head impact exposure and concussions are common in American football. Identifying the factors associated with high magnitude impacts aids in informing sport policy changes, improvements to protective equipment, and better understanding of the brain's response to mechanical loading. Recently, the Stanford Instrumented Mouthguard (MiG2.0) has seen several improvements in its accuracy in measuring head kinematics and its ability to correctly differentiate between true head impact events and false positives. Using this device, the present study sought to identify factors (e.g., player position, helmet model, direction of head acceleration, etc.) that are associated with head impact kinematics and brain strain in high school American football athletes. 116 athletes were monitored over a total of 888 athlete exposures. 602 total impacts were captured and verified by the MiG2.0's validated impact detection algorithm. Peak values of linear acceleration, angular velocity, and angular acceleration were obtained from the mouthguard kinematics. The kinematics were also entered into a previously developed finite element model of the human brain to compute the 95th percentile maximum principal strain. Overall, impacts were (mean ± SD) 34.0 ± 24.3 g for peak linear acceleration, 22.2 ± 15.4 rad/s for peak angular velocity, 2979.4 ± 3030.4 rad/s2 for peak angular acceleration, and 0.262 ± 0.241 for 95th percentile maximum principal strain. Statistical analyses revealed that impacts resulting in Forward head accelerations had higher magnitudes of peak kinematics and brain strain than Lateral or Rearward impacts and that athletes in skill positions sustained impacts of greater magnitude than athletes in line positions. 95th percentile maximum principal strain was significantly lower in the observed cohort of high school football athletes than previous reports of collegiate football athletes. No differences in impact magnitude were observed in athletes with or without previous concussion history, in athletes wearing different helmet models, or in junior varsity or varsity athletes. This study presents novel information on head acceleration events and their resulting brain strain in high school American football from our advanced, validated method of measuring head kinematics via instrumented mouthguard technology.
© 2021. Biomedical Engineering Society.

Entities:  

Keywords:  Brain injury; Concussion; Finite element model; Head acceleration; Head impact sensor; Helmet

Mesh:

Year:  2021        PMID: 34549342      PMCID: PMC8906650          DOI: 10.1007/s10439-021-02853-5

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   4.219


  58 in total

1.  Examining concussion rates and return to play in high school football players wearing newer helmet technology: a three-year prospective cohort study.

Authors:  Micky Collins; Mark R Lovell; Grant L Iverson; Thad Ide; Joseph Maroon
Journal:  Neurosurgery       Date:  2006-02       Impact factor: 4.654

2.  Incidence of Concussion During Practice and Games in Youth, High School, and Collegiate American Football Players.

Authors:  Thomas P Dompier; Zachary Y Kerr; Stephen W Marshall; Brian Hainline; Erin M Snook; Ross Hayden; Janet E Simon
Journal:  JAMA Pediatr       Date:  2015-07       Impact factor: 16.193

3.  Abnormal white matter integrity related to head impact exposure in a season of high school varsity football.

Authors:  Elizabeth M Davenport; Christopher T Whitlow; Jillian E Urban; Mark A Espeland; Youngkyoo Jung; Daryl A Rosenbaum; Gerard A Gioia; Alexander K Powers; Joel D Stitzel; Joseph A Maldjian
Journal:  J Neurotrauma       Date:  2014-07-14       Impact factor: 5.269

4.  Abnormalities in Diffusional Kurtosis Metrics Related to Head Impact Exposure in a Season of High School Varsity Football.

Authors:  Elizabeth M Davenport; Kalyna Apkarian; Christopher T Whitlow; Jillian E Urban; Jens H Jensen; Eliza Szuch; Mark A Espeland; Youngkyoo Jung; Daryl A Rosenbaum; Gerard A Gioia; Alexander K Powers; Joel D Stitzel; Joseph A Maldjian
Journal:  J Neurotrauma       Date:  2016-05-18       Impact factor: 5.269

5.  Pupillary changes after clinically asymptomatic high-acceleration head impacts in high school football athletes.

Authors:  Jacob R Joseph; Jennylee S Swallow; Kylene Willsey; Andrea A Almeida; Matthew T Lorincz; Robert K Fraumann; Mark E Oppenlander; Nicholas J Szerlip; Steven P Broglio
Journal:  J Neurosurg       Date:  2019-11-26       Impact factor: 5.115

6.  Relative Head Impact Exposure and Brain White Matter Alterations After a Single Season of Competitive Football: A Pilot Comparison of Youth Versus High School Football.

Authors:  Kim D Barber Foss; Weihong Yuan; Jed A Diekfuss; James Leach; William Meehan; Christopher A DiCesare; Gary Solomon; Daniel K Schneider; James MacDonald; Jon Dudley; Nelson Cortes; Ryan Galloway; Mark Halstead; Gregory Walker; Gregory D Myer
Journal:  Clin J Sport Med       Date:  2019-11       Impact factor: 3.638

7.  Cumulative Head Impact Exposure Predicts Later-Life Depression, Apathy, Executive Dysfunction, and Cognitive Impairment in Former High School and College Football Players.

Authors:  Philip H Montenigro; Michael L Alosco; Brett M Martin; Daniel H Daneshvar; Jesse Mez; Christine E Chaisson; Christopher J Nowinski; Rhoda Au; Ann C McKee; Robert C Cantu; Michael D McClean; Robert A Stern; Yorghos Tripodis
Journal:  J Neurotrauma       Date:  2016-06-15       Impact factor: 5.269

8.  Head impact exposure sustained by football players on days of diagnosed concussion.

Authors:  Jonathan G Beckwith; Richard M Greenwald; Jeffrey J Chu; Joseph J Crisco; Steven Rowson; Stefan M Duma; Steven P Broglio; Thomas W McAllister; Kevin M Guskiewicz; Jason P Mihalik; Scott Anderson; Brock Schnebel; P Gunnar Brolinson; Michael W Collins
Journal:  Med Sci Sports Exerc       Date:  2013-04       Impact factor: 5.411

9.  Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification.

Authors:  Lyndia C Wu; Calvin Kuo; Jesus Loza; Mehmet Kurt; Kaveh Laksari; Livia Z Yanez; Daniel Senif; Scott C Anderson; Logan E Miller; Jillian E Urban; Joel D Stitzel; David B Camarillo
Journal:  Sci Rep       Date:  2017-12-21       Impact factor: 4.379

10.  Player position in American football influences the magnitude of mechanical strains produced in the location of chronic traumatic encephalopathy pathology: A computational modelling study.

Authors:  K A Zimmerman; J Kim; C Karton; L Lochhead; D J Sharp; T Hoshizaki; M Ghajari
Journal:  J Biomech       Date:  2021-01-23       Impact factor: 2.712

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  2 in total

1.  Physics-Informed Machine Learning Improves Detection of Head Impacts.

Authors:  Samuel J Raymond; Nicholas J Cecchi; Hossein Vahid Alizadeh; Ashlyn A Callan; Eli Rice; Yuzhe Liu; Zhou Zhou; Michael Zeineh; David B Camarillo
Journal:  Ann Biomed Eng       Date:  2022-03-18       Impact factor: 3.934

2.  The Presence of the Temporal Horn Exacerbates the Vulnerability of Hippocampus During Head Impacts.

Authors:  Zhou Zhou; Xiaogai Li; August G Domel; Emily L Dennis; Marios Georgiadis; Yuzhe Liu; Samuel J Raymond; Gerald Grant; Svein Kleiven; David Camarillo; Michael Zeineh
Journal:  Front Bioeng Biotechnol       Date:  2022-03-22
  2 in total

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