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Weaver AA, Ronning IN, Armstrong W, Miller AN, Kiani B, Shayn Martin R, Beavers KM, Stitzel JD. Computed tomography assessment of pelvic bone density: Associations with age and pelvic fracture in motor vehicle crashes. Accid Anal Prev 2023; 193:107291. [PMID: 37716194 PMCID: PMC10591932 DOI: 10.1016/j.aap.2023.107291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/22/2023] [Accepted: 09/06/2023] [Indexed: 09/18/2023]
Abstract
Motor vehicle crash (MVC) occupants routinely get a computed tomography (CT) scan to screen for internal injury, and this CT can be leveraged to opportunistically derive bone mineral density (BMD). This study aimed to develop and validate a method to measure pelvic BMD in CT scans without a phantom, and examine associations of pelvic BMD with age and pelvic fracture incidence in seriously injured MVC occupants from the Crash Injury Research and Engineering Network (CIREN) study. A phantom-less muscle-fat calibration technique to measure pelvic BMD was validated using 45 quantitative CT scans with a bone calibration phantom. The technique was then used to measure pelvic BMD from CT scans of 252 CIREN occupants (ages 16+) in frontal MVCs who had sustained either abdominal or pelvic injury. Pelvic BMD was analyzed in relation to age and pelvic fracture incidence. In the validation set, phantom-based calibration vs. phantom-less muscle-fat calibration yielded similar BMD values at the anterior superior iliac spine (ASIS; R2 = 0.95, p < 0.001) and iliac crest (R2 = 0.90, p < 0.001). Pelvic BMD was measured in 150 female and 102 male CIREN occupants aged 16-89, and 25% of these occupants sustained pelvic fracture. BMD at the ASIS and iliac crest declined with age (p < 0.001). For instance, iliac crest BMD decreased an average of 25 mg/cm3 per decade of age. The rate of iliac crest BMD decline was 7.6 mg/cm3 more per decade of age in occupants with pelvic fracture compared to those not sustaining pelvic fracture. Findings suggest pelvic BMD may be a contributing risk factor for pelvic fracture in MVCs.
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Affiliation(s)
- Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575. N. Patterson Ave., Winston-Salem, NC 27101, United States.
| | - Isaac N Ronning
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575. N. Patterson Ave., Winston-Salem, NC 27101, United States; University of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada
| | - William Armstrong
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575. N. Patterson Ave., Winston-Salem, NC 27101, United States.
| | - Anna N Miller
- Department of Orthopaedic Surgery, Washington University School of Medicine, 600 S. Euclid Ave., St. Louis, MO 63110, United States.
| | - Bahram Kiani
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, United States.
| | - R Shayn Martin
- Department of Surgery, Wake Forest University School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, United States.
| | - Kristen M Beavers
- Department of Health and Exercise Science, Wake Forest University, Worrell Professional Center, Winston-Salem, NC 27109, United States.
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575. N. Patterson Ave., Winston-Salem, NC 27101, United States.
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Urban JE, Filben TM, Zoch SR, Stewart Pritchard N, Mason DR, Miles CM, Stitzel JD. Integrating biomechanics with stakeholder perspectives to inform safety in grassroots dirt track racing. Accid Anal Prev 2023; 192:107254. [PMID: 37557000 DOI: 10.1016/j.aap.2023.107254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/31/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023]
Abstract
Grassroots dirt track racing is a foundational part of motorsports with a high risk of severe injury. This study aimed to gather perspectives and experiences of motorsports drivers surrounding safety and head acceleration events experienced during grassroots dirt track racing to inform strategies to improve driver safety. Thirteen drivers (n=9 who primarily race on dirt tracks; n=4 who primarily race on pavement tracks) with prior dirt track racing experience participated in separate, group-specific focus groups and/or one-on-one interviews where video, simulations of head motion, and head acceleration data were shared. Peak kinematics of laps and crash contact scenarios were recorded, and head perturbations (i.e., deviations in head motion relative to its moving-average trajectory) were quantified for each lap and presented through guided discussion. Responses were summarized using Rapid Assessment Process. Audio recordings and field notes were collected from focus groups and interviews and analyzed across 25 domains. Drivers described dirt track racing as short, fast bursts of racing. Benefits of dirt track racing for driver development were described, including learning car control. Drivers acknowledged risks of racing and expressed confidence in safety equipment but identified areas for improvement. Drivers observed lateral bouncing of the head in video and simulations but recognized that such motions were not noticed while racing. Track conditions and track type were identified as factors influencing head perturbations. Mean PLA (5.5 g) and PRV (3.07 rad/s) of perturbations experienced during racing laps and perturbation frequencies of 5 and 7 perturbations per second were reported. Generally, drivers accurately estimated the head acceleration magnitudes but were surprised by the frequency and maximum magnitude of perturbations. Maximum perturbation magnitudes (26.8 g and 19.0 rad/s) were attributed to hitting a "rut" in the dirt. Drivers described sudden stops, vertical loads due to landing from a large height, and impacts to the vehicle frame as crash events they physically feel the most. Summary statistics for crashes (medians = 7.30 g, 6.94 rad/s) were reported. Typical impact magnitudes measured in other sports (e.g., football) were provided for context. Upon reviewing the biomechanics, drivers were surprised that crash accelerations were relatively low compared to other contact/collision sports. Pavement drivers noted limited safety features in dirt track racing compared to pavement, including rigidity of vehicle frames, seat structure, seatbelt integration, and lack of oversight from sanctioning bodies. Most drivers felt seat inserts and head and neck restraints are important for injury prevention; however, usage of seat inserts and preferred head and neck restraint system differed among drivers. Drivers described their perspectives and experiences related to safety and identified strategies to improve safety in grassroots dirt track racing. Drivers expressed support for future safety research.
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Affiliation(s)
- Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, United States.
| | - Tanner M Filben
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, United States
| | - Sophia R Zoch
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, United States
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, United States
| | - Destiny R Mason
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, United States
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; Department of Family and Community Medicine, Wake Forest School of Medicine, United States
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, United States; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, United States
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Zoch SR, Filben TM, Stewart Pritchard N, Miller LE, Mason DR, Bullock GS, Miles CM, Urban JE, Stitzel JD. Driver head kinematics in grassroots dirt track racing crashes: A pilot analysis. Accid Anal Prev 2023; 191:107184. [PMID: 37421803 DOI: 10.1016/j.aap.2023.107184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/21/2023] [Accepted: 06/17/2023] [Indexed: 07/10/2023]
Abstract
Motorsport athletes experience head acceleration loading during crashes; however, there is limited literature quantifying the frequency and magnitude of these loads, particularly at the grassroots level of the sport. Understanding head motion experienced during crash events in motorsport is necessary to inform interventions to improve driver safety. This study aimed to quantify and characterize driver head and vehicle kinematics during crashes in open-wheel grassroots dirt track racing. Seven drivers (ages 16-22, n = 2 female) competing in a national midget car series were enrolled in this study over two racing seasons and were instrumented with custom mouthpiece sensors. Drivers' vehicles were outfitted with an incident data recorder (IDR) to measure vehicle acceleration. Forty-one crash events were verified and segmented into 139 individual contact scenarios via film review. Peak resultant linear acceleration (PLA) of the vehicle and PLA, peak rotational acceleration (PRA), and peak rotational velocity (PRV) of the head were quantified and compared across the part of the vehicle contacted (i.e., tires or chassis), the vehicle location contacted (e.g., front, left, bottom), the external object contacted (i.e., another vehicle, wall, or the track), and the principal direction of force (PDOF). The median (95th percentile) PLA, PRA, and PRV of the head and PLA of the vehicle were 12.3 (37.3) g, 626 (1799) rad/s2, 8.92 (18.6) rad/s, and 23.2 (88.1) g, respectively. Contacts with a non-horizontal PDOF (n = 98, 71%) and contact with the track (n = 96, 70%) were common in the data set. Contact to the left side of the vehicle, with the track, and with a non-horizontal PDOF tended to have the greatest head kinematics compared to other factors in each sub-analysis. Results from this pilot study can inform larger studies of head acceleration exposure during crashes in the grassroots motorsports environment and may ultimately support evidence-based driver safety interventions.
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Affiliation(s)
- Sophia R Zoch
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA.
| | - Tanner M Filben
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA
| | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA
| | - Destiny R Mason
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA
| | - Garrett S Bullock
- Department of Orthopaedic Surgery, Wake Forest School of Medicine, USA
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; Department of Family and Community Medicine, Wake Forest School of Medicine, USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, USA
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Filben TM, Tomblin BT, Pritchard NS, Bullock GS, Hemmen JM, Neri KE, Krug V, Miles CM, Stitzel JD, Urban JE. Assessing the association between on-field heading technique and head impact kinematics in a cohort of female youth soccer players. SCI MED FOOTBALL 2023:1-10. [PMID: 37753837 DOI: 10.1080/24733938.2023.2264272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 09/19/2023] [Indexed: 09/28/2023]
Abstract
There is concern that exposure to soccer headers may be associated with neurological sequelae. Training proper heading technique represents a coachable intervention that may reduce head acceleration exposure. The objective was to assess relationships between heading technique and head kinematics in female youth soccer players. Fourteen players (mean age = 14.4 years) wore instrumented mouthpieces during practices and games. Headers were reviewed by three raters to assign a technique score. Mixed models and LASSO regression evaluated associations of technique with peak linear acceleration (PLA), rotational acceleration (PRA), rotational velocity (PRV), and head impact power ratio (HIP Ratio) while adjusting for session type and ball delivery. Two hundred eighty-nine headers (n = 212 standing, n = 77 jumping) were analyzed. Technique score (p = 0.043) and the technique score - session type interaction (p = 0.004) were associated with PRA of standing headers, whereby each 10-unit increase in technique score was associated with an 8.6% decrease in PRA during games but a 5.1% increase in PRA during practices. Technique was not significantly associated with any other kinematic metrics; however, peak kinematics tended to decrease as technique score increased. LASSO regression identified back extension and shoulder/hip alignment as important predictors of peak kinematics. Additional research on heading technique and head acceleration is recommended.
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Affiliation(s)
- Tanner M Filben
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Brian T Tomblin
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Garrett S Bullock
- Department of Orthopaedic Surgery & Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jordan M Hemmen
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kristina E Neri
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Victoria Krug
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
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Holcomb TD, Marks ME, Stewart Pritchard N, Miller L, Espeland MA, Miles CM, Moore JB, Foley KL, Stitzel JD, Urban JE. Characterization of Head Acceleration Exposure During Youth Football Practice Drills. J Appl Biomech 2023; 39:157-168. [PMID: 37105545 PMCID: PMC10809728 DOI: 10.1123/jab.2022-0196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 02/08/2023] [Accepted: 03/04/2023] [Indexed: 04/29/2023]
Abstract
Many head acceleration events (HAEs) observed in youth football emanate from a practice environment. This study aimed to evaluate HAEs in youth football practice drills using a mouthpiece-based sensor, differentiating between inertial and direct HAEs. Head acceleration data were collected from athletes participating on 2 youth football teams (ages 11-13 y) using an instrumented mouthpiece-based sensor during all practice sessions in a single season. Video was recorded and analyzed to verify and assign HAEs to specific practice drill characteristics, including drill intensity, drill classification, and drill type. HAEs were quantified in terms of HAEs per athlete per minute and peak linear and rotational acceleration and rotational velocity. Mixed-effects models were used to evaluate the differences in kinematics, and generalized linear models were used to assess differences in HAE frequency between drill categories. A total of 3237 HAEs were verified and evaluated from 29 football athletes enrolled in this study. Head kinematics varied significantly between drill categorizations. HAEs collected at higher intensities resulted in significantly greater kinematics than lower-intensity drills. The results of this study add to the growing body of evidence informing evidence-based strategies to reduce head impact exposure and concussion risk in youth football practices.
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Affiliation(s)
- Ty D. Holcomb
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC
- Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC
| | - Madison E. Marks
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC
- Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC
| | - N. Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC
- Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC
| | - Logan Miller
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC
- Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC
| | - Mark A. Espeland
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Christopher M. Miles
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Justin B. Moore
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC
- Department of Epidemiology & Prevention, Wake Forest University School of Medicine, Winston-Salem, NC
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Kristie L. Foley
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Joel D. Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC
- Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC
| | - Jillian E. Urban
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC
- Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC
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Segars MF, Filben TM, Pritchard NS, Miller LE, Miles CM, Stitzel JD, Urban JE. Head Impact Exposure in Female Collegiate Soccer by Activity Type. J Appl Biomech 2023:1-8. [PMID: 37210079 DOI: 10.1123/jab.2022-0134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 02/08/2023] [Accepted: 03/28/2023] [Indexed: 05/22/2023]
Abstract
Soccer, one of the most popular sports in the world, has one of the highest rates of sports-related concussions. Additionally, soccer players are frequently exposed to nonconcussive impacts from intentionally heading the ball, a fundamental component of the sport. There have been many studies on head impact exposure in soccer, but few focus on soccer practices or practice activities. This study aimed to characterize the frequency and magnitude of head impacts in National Collegiate Athletic Association Division I female soccer practice activities using a custom-fit instrumented mouthpiece. Sixteen players were instrumented over the course of 54 practice sessions. Video analysis was performed to verify all mouthpiece-recorded events and classify practice activities. Category groupings of practice activities include technical training, team interaction, set pieces, position-specific, and other. Differences in head impact rates and peak resultant kinematics were observed across activity types and category groupings. Technical training had the highest impact rate compared to other category groupings. Impacts occurring during set piece activities had the highest mean kinematic values. Understanding drill exposure can help inform coaches on training plans aimed to reduce head impact exposure for their athletes.
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Affiliation(s)
- Mary Frances Segars
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC,USA
| | - Tanner M Filben
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC,USA
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC,USA
| | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC,USA
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC,USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC,USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC,USA
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC,USA
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Lalwala M, Devane KS, Koya B, Vu LQ, Dolick K, Yates KM, Newby NJ, Somers JT, Gayzik FS, Stitzel JD, Weaver AA. Development and Validation of an Active Muscle Simplified Finite Element Human Body Model in a Standing Posture. Ann Biomed Eng 2023; 51:632-641. [PMID: 36125604 DOI: 10.1007/s10439-022-03077-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 09/06/2022] [Indexed: 11/28/2022]
Abstract
Active muscles play an important role in postural stabilization, and muscle-induced joint stiffening can alter the kinematic response of the human body, particularly that of the lower extremities, under dynamic loading conditions. There are few full-body human body finite element models with active muscles in a standing posture. Thus, the objective of this study was to develop and validate the M50-PS+Active model, an average-male simplified human body model in a standing posture with active musculature. The M50-PS+Active model was developed by incorporating 116 skeletal muscles, as one-dimensional beam elements with a Hill-type material model and closed-loop Proportional Integral Derivative (PID) controller muscle activation strategy, into the Global Human Body Models Consortium (GHBMC) simplified pedestrian model M50-PS. The M50-PS+Active model was first validated in a gravity standing test, showing the effectiveness of the active muscles in maintaining a standing posture under gravitational loading. The knee kinematics of the model were compared against volunteer kinematics in unsuited and suited step-down tests from NASA's active response gravity offload system (ARGOS) laboratory. The M50-PS+Active model showed good biofidelity with volunteer kinematics with an overall CORA score of 0.80, as compared to 0.64 (fair) in the passive M50-PS model. The M50-PS+Active model will serve as a useful tool to study the biomechanics of the human body in vehicle-pedestrian accidents, public transportation braking, and space missions piloted in a standing posture.
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Affiliation(s)
- Mitesh Lalwala
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.,Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Karan S Devane
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.,Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Bharath Koya
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.,Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Linh Q Vu
- Aegis Aerospace Inc., 2101 NASA Parkway, Houston, TX, 77058, USA
| | - Kevin Dolick
- GeoControl Systems, 3003 S Loop W #100, Houston, TX, 77054, USA
| | | | | | - Jeffrey T Somers
- NASA Johnson Space Center, 2101 NASA Parkway, Houston, TX, 77058, USA
| | - F Scott Gayzik
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.,Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.,Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA. .,Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.
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8
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Miller LE, Patalak JP, Harper MG, Urban JE, Stitzel JD. Pilot Collection and Evaluation of Head Kinematics in Stock Car Racing. J Biomech Eng 2023; 145:1152062. [PMID: 36421028 DOI: 10.1115/1.4056322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022]
Abstract
The goal of this work was to collect on-track driver head kinematics using instrumented mouthpieces and characterize environmental exposure to accelerations and vibrations. Six NASCAR drivers were instrumented with custom-fit mouthpieces to collect head kinematic data. Devices were deployed at four tracks during practice and testing environments and configured to collect approximately 11 min of linear acceleration and rotational velocity data at 200 Hz. This continuous data collection, combined with film review, allowed extraction of complete laps of data. In addition to typical data processing methods, a moving-point average was calculated and subtracted from the overall signal for both linear acceleration and rotational velocity to determine the environmental component of head motion. The current analysis focuses on 42 full laps of data collected at four data collection events. The number of laps per track ranged from 2 to 23. Linear acceleration magnitudes for all 42 laps ranged from 2.46 to 7.48 g and rotational velocity ranged from 1.25 to 3.35 rad/s. After subtracting the moving average, linear acceleration ranged from 0.92 to 5.45 g and rotational velocity ranged from 0.57 to 2.05 rad/s. This study has established the feasibility of using an instrumented mouthpiece to measure head kinematics in NASCAR and presented a technique for isolating head motion due to cornering acceleration from those due to short-term perturbations experienced by the driver.
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Affiliation(s)
- Logan E Miller
- Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC 27157; Center for Injury Biomechanics, Wake Forest University, 575 N Patterson Avenue, Suite 530, Winston-Salem, NC 27101
| | - John P Patalak
- National Association for Stock Car Auto Racing, Incorporated, Daytona Beach, FL 32114
| | - Matthew G Harper
- National Association for Stock Car Auto Racing, Incorporated, Daytona Beach, FL 32114
| | - Jillian E Urban
- Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC 27157; Center for Injury Biomechanics, Wake Forest University, 575 N Patterson Avenue, Suite 530, Winston-Salem, NC 27101
| | - Joel D Stitzel
- Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC 27157; Center for Injury Biomechanics, Wake Forest University, 575 N Patterson Avenue, Suite 530, Winston-Salem, NC 27101
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Lalwala M, Devane KS, Koya B, Hsu FC, Yates KM, Newby NJ, Somers JT, Gayzik FS, Stitzel JD, Weaver AA. Effect of Active Muscles on Astronaut Kinematics and Injury Risk for Piloted Lunar Landing and Launch While Standing. Ann Biomed Eng 2023:10.1007/s10439-023-03143-y. [PMID: 36652027 DOI: 10.1007/s10439-023-03143-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/05/2023] [Indexed: 01/19/2023]
Abstract
While astronauts may pilot future lunar landers in a standing posture, the response of the human body under lunar launch and landing-related dynamic loading conditions is not well understood. It is important to consider the effects of active muscles under these loading conditions as muscles stabilize posture while standing. In the present study, astronaut response for a piloted lunar mission in a standing posture was simulated using an active human body model (HBM) with a closed-loop joint-angle based proportional integral derivative controller muscle activation strategy and compared with a passive HBM to understand the effects of active muscles on astronaut body kinematics and injury risk. While head, neck, and lumbar spine injury risk were relatively unaffected by active muscles, the lower extremity injury risk and the head and arm kinematics were significantly changed. Active muscle prevented knee-buckling and spinal slouching and lowered tibia injury risk in the active vs. passive model (revised tibia index: 0.02-0.40 vs. 0.01-0.58; acceptable tolerance: 0.43). Head displacement was higher in the active vs. passive model (11.6 vs. 9.0 cm forward, 6.3 vs. 7.0 cm backward, 7.9 vs. 7.3 cm downward, 3.7 vs. 2.4 cm lateral). Lower arm movement was seen with the active vs. passive model (23 vs. 35 cm backward, 12 vs. 20 cm downward). Overall simulations suggest that the passive model may overpredict injury risk in astronauts for spaceflight loading conditions, which can be improved using the model with active musculature.
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Affiliation(s)
- Mitesh Lalwala
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Karan S Devane
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Bharath Koya
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, NC, 27101, USA
| | | | | | - Jeffrey T Somers
- NASA Johnson Space Center, 2101 NASA Parkway, Houston, TX, 77058, USA
| | - F Scott Gayzik
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.
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10
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Morrison TM, Stitzel JD, Levine SM. Modeling and Simulation in Biomedical Engineering: Regulatory Science and Innovation for Advancing Public Health. Ann Biomed Eng 2023; 51:1-5. [PMID: 36562847 DOI: 10.1007/s10439-022-03116-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022]
Affiliation(s)
- Tina M Morrison
- Office of Regulatory Science and Innovation, US Food and Drug Association, Silver Spring, MD, USA.
| | - Joel D Stitzel
- Office of Regulatory Science and Innovation, US Food and Drug Association, Silver Spring, MD, USA.,Wake Forest University School of Medicine, Winston-Salem, NC, USA.,Dassault Systèmes, San Diego, CA, USA
| | - Steve M Levine
- Office of Regulatory Science and Innovation, US Food and Drug Association, Silver Spring, MD, USA.,Wake Forest University School of Medicine, Winston-Salem, NC, USA.,Dassault Systèmes, San Diego, CA, USA
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11
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Lalwala M, Koya B, Devane KS, Hsu FC, Yates KM, Newby NJ, Somers JT, Gayzik FS, Stitzel JD, Weaver AA. Effects of Standing, Upright Seated, vs. Reclined Seated Postures on Astronaut Injury Biomechanics for Lunar Landings. Ann Biomed Eng 2022; 51:951-965. [PMID: 36352272 DOI: 10.1007/s10439-022-03108-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 10/29/2022] [Indexed: 11/11/2022]
Abstract
Astronauts may pilot a future lunar lander in a standing or upright/reclined seated posture. This study compared kinematics and injury risk for the upright/reclined (30°; 60°) seated vs. standing postures for lunar launch/landing using human body modeling across 30 simulations. While head metrics for standing and upright seated postures were comparable to 30 cm height jumps, those of reclined postures were closer to 60 cm height jumps. Head linear acceleration for 60° reclined posture in the 5 g/10 ms pulse exceeded NASA's tolerance (10.1 g; tolerance: 10 g). Lower extremity metrics exceeding NASA's tolerance in the standing posture (revised tibia index: 0.36-0.53; tolerance: 0.43) were lowered in seated postures (0.00-0.04). Head displacement was higher in standing vs. seated (9.0 cm vs. 2.4 cm forward, 7.0 cm vs. 1.3 cm backward, 2.1 cm vs. 1.2 cm upward, 7.3 cm vs. 0.8 cm downward, 2.4 cm vs. 3.2 cm lateral). Higher arm movement was seen with seated vs. standing (40 cm vs. 25 cm forward, 60 cm vs. 15 cm upward, 30 cm vs. 20 cm downward). Pulse-nature contributed more than 40% to the injury metrics for seated postures compared to 80% in the standing posture. Seat recline angle contributed about 22% to the injury metrics in the seated posture. This study established a computational methodology to simulate the different postures of an astronaut for lunar landings and generated baseline injury risk and body kinematics data.
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Affiliation(s)
- Mitesh Lalwala
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Bharath Koya
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Karan S Devane
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, 525 Vine Street, Winston-Salem, NC, 27101, USA
| | | | | | - Jeffrey T Somers
- NASA Johnson Space Center, 2101 NASA Parkway, Houston, TX, 77058, USA
| | - F Scott Gayzik
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.
- Virginia Tech-Wake Forest Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 530, Winston-Salem, NC, 27101, USA.
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12
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Marks ME, Holcomb TD, Pritchard NS, Miller LE, Espeland MA, Miles CM, Moore JB, Foley KL, Stitzel JD, Urban JE. Characterizing Exposure to Head Acceleration Events in Youth Football Using an Instrumented Mouthpiece. Ann Biomed Eng 2022; 50:1620-1632. [PMID: 36274103 PMCID: PMC9815159 DOI: 10.1007/s10439-022-03097-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 10/03/2022] [Indexed: 01/11/2023]
Abstract
Understanding characteristics of head acceleration events (HAEs) in youth football is vital in developing strategies to improve athlete safety. This study aimed to characterize HAEs in youth football using an instrumented mouthpiece. Youth football athletes (ages 11-13) participating on two teams were enrolled in this study for one season. Each athlete was instrumented with a mouthpiece-based sensor throughout the season. HAEs were verified on film to ensure that mouthpiece-based sensors triggered during contact. The number of HAEs, peak resultant linear and rotational accelerations, and peak resultant rotational velocity were quantified. Mixed effects models were used to evaluate differences in mean kinematic metrics among all HAEs for session type, athlete position, and contact surface. A total of 5,292 HAEs were collected and evaluated from 30 athletes. The median (95th percentile) peak resultant linear acceleration, rotational acceleration, and rotational velocity was 9.5 g (27.0 g), 666.4 rad s-2 (1863.3 rad s-2), and 8.5 rad s-1 (17.4 rad s-1), respectively. Athletes experienced six (22) HAEs per athlete per session (i.e., practice, game). Competition had a significantly higher mean number of HAEs per athlete per session and mean peak rotational acceleration. Peak resultant rotational kinematics varied significantly among athlete positions. Direct head impacts had higher mean kinematics compared to indirect HAEs, from body collisions. The results of this study demonstrate that session type, athlete position, and contact surface (i.e., direct, indirect) may influence HAE exposure in youth football.
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Affiliation(s)
- Madison E Marks
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech - Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - Ty D Holcomb
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech - Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech - Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech - Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - Mark A Espeland
- Department of Biostatistics and Data Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Christopher M Miles
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Justin B Moore
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology & Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kristie L Foley
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Virginia Tech - Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest University School of Medicine, 575 Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
- Virginia Tech - Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA.
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13
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Ji S, Ghajari M, Mao H, Kraft RH, Hajiaghamemar M, Panzer MB, Willinger R, Gilchrist MD, Kleiven S, Stitzel JD. Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports. Ann Biomed Eng 2022; 50:1389-1408. [PMID: 35867314 PMCID: PMC9652195 DOI: 10.1007/s10439-022-02999-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/22/2022] [Indexed: 02/03/2023]
Abstract
Head acceleration measurement sensors are now widely deployed in the field to monitor head kinematic exposure in contact sports. The wealth of impact kinematics data provides valuable, yet challenging, opportunities to study the biomechanical basis of mild traumatic brain injury (mTBI) and subconcussive kinematic exposure. Head impact kinematics are translated into brain mechanical responses through physics-based computational simulations using validated brain models to study the mechanisms of injury. First, this article reviews representative legacy and contemporary brain biomechanical models primarily used for blunt impact simulation. Then, it summarizes perspectives regarding the development and validation of these models, and discusses how simulation results can be interpreted to facilitate injury risk assessment and head acceleration exposure monitoring in the context of contact sports. Recommendations and consensus statements are presented on the use of validated brain models in conjunction with kinematic sensor data to understand the biomechanics of mTBI and subconcussion. Mainly, there is general consensus that validated brain models have strong potential to improve injury prediction and interpretation of subconcussive kinematic exposure over global head kinematics alone. Nevertheless, a major roadblock to this capability is the lack of sufficient data encompassing different sports, sex, age and other factors. The authors recommend further integration of sensor data and simulations with modern data science techniques to generate large datasets of exposures and predicted brain responses along with associated clinical findings. These efforts are anticipated to help better understand the biomechanical basis of mTBI and improve the effectiveness in monitoring kinematic exposure in contact sports for risk and injury mitigation purposes.
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Affiliation(s)
- Songbai Ji
- Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
| | - Mazdak Ghajari
- Dyson School of Design Engineering, Imperial College London, London, UK
| | - Haojie Mao
- Department of Mechanical and Materials Engineering, Faculty of Engineering, Western University, London, ON, N6A 5B9, Canada
| | - Reuben H Kraft
- Department of Mechanical and Nuclear Engineering, Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA
| | - Marzieh Hajiaghamemar
- Department of Biomedical Engineering, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Matthew B Panzer
- Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, USA
| | - Remy Willinger
- University of Strasbourg, IMFS-CNRS, 2 rue Boussingault, 67000, Strasbourg, France
| | - Michael D Gilchrist
- School of Mechanical & Materials Engineering, University College Dublin, Belfield, Dublin 4, Ireland
| | - Svein Kleiven
- Division of Neuronic Engineering, KTH Royal Institute of Technology, Hälsovägen 11C, 141 57, Huddinge, Sweden
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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14
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Armstrong W, Costa C, Poveda L, Miller AN, Ambrosini A, Hsu FC, Kiani B, Martin RS, Stitzel JD, Weaver AA. Effects of muscle quantity and bone mineral density on injury and outcomes in older adult motor vehicle crash occupants. Traffic Inj Prev 2022; 23:S86-S91. [PMID: 36190765 PMCID: PMC9839521 DOI: 10.1080/15389588.2022.2124864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 09/07/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
Objectives: Quantify the independent and combined effects of abdominal muscle quantity and lumbar bone mineral density (BMD) on injury risk and in-hospital outcomes in severely injured motor vehicle crash (MVC) occupants ages 50 and older.Methods: Skeletal muscle area measurements of MVC occupants were obtained through semi-automated segmentation of an axial computed tomography (CT) slice at the L3 vertebra. An occupant height-normalized Skeletal Muscle Index (SMI) was calculated - a defining metric of sarcopenia and low muscle mass (sarcopenia thresholds: <38.5 cm2/m2 females; <52.4 cm2/m2 males). Lumbar BMD was obtained using a validated, phantomless CT calibration method (osteopenia threshold: <145 mg/cm3). SMI and BMD values were used to categorize occupants, and logistic regression was used to associate sarcopenia, osteopenia, and osteosarcopenia predictors to injury outcomes (e.g., Injury Severity Score (ISS), maximum Abbreviated Injury Scale (MAIS) score, fractures) and hospital outcomes (e.g., length of stay, ICU days).Results: Of the 336 occupants, 210 (63%) were female (mean ± SD: age 66.3 ± 10.6). SMI was 41.7 ± 8.0 cm2/m2 in females and 51.2 ± 10.8 cm2/m2 in males. Based on SMI, 40% of females and 55% of males were classified as sarcopenic. BMD was 163.2 ± 38.3 mg/cm3 in females and 164.1 ± 35.4 mg/cm3 in males, with 41% of females and 33% of males classified as osteopenic. Prevalence of both conditions (osteosarcopenia) was similar between females (21%) and males (22%). Incidence of low SMI and BMD increased with age. Sarcopenic individuals were less likely to sustain a MAIS 2+ thorax injury and had longer ICU stays. Osteopenic individuals were more likely to sustain upper extremity injuries and fractures, and were less likely to be discharged to a rehabilitation facility. Osteosarcopenic individuals were less likely to be ventilated or admitted to the ICU but tended to spend more time on the ventilator if placed on one.Conclusions: Osteosarcopenia was not associated with any injury outcomes, but sarcopenia was associated with thoracic injury and osteopenia was associated with upper extremity injury incidence. Sarcopenia was only associated with ICU length of stay, while osteopenia was only associated with discharge destination. Osteosarcopenia was associated with likelihood of being ventilated, being admitted to the ICU, and with increased length of ventilation.
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Affiliation(s)
- William Armstrong
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave., Winston-Salem, NC 27101, USA
| | - Casey Costa
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave., Winston-Salem, NC 27101, USA
| | - Luis Poveda
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave., Winston-Salem, NC 27101, USA
| | - Anna N. Miller
- Department of Orthopedic Surgery, Washington University School of Medicine, Campus Box 8233, 660 S. Euclid Ave, St. Louis, MO 63110
| | - Alexander Ambrosini
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave., Winston-Salem, NC 27101, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, 525 Vine St., Winston-Salem, NC 27101, USA
| | - Bahram Kiani
- Department of Radiology, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157
| | - R. Shayn Martin
- Department of Surgery, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157
| | - Joel D. Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave., Winston-Salem, NC 27101, USA
| | - Ashley A. Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Ave., Winston-Salem, NC 27101, USA
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15
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Davenport EM, Urban JE, Vaughan C, DeSimone JC, Wagner B, Espeland MA, Powers AK, Whitlow CT, Stitzel JD, Maldjian JA. MEG measured delta waves increase in adolescents after concussion. Brain Behav 2022; 12:e2720. [PMID: 36053126 PMCID: PMC9480906 DOI: 10.1002/brb3.2720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 05/22/2022] [Accepted: 06/24/2022] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION The purpose of this study is to determine if delta waves, measured by magnetoencephalography (MEG), increase in adolescents due to a sports concussion. METHODS Twenty-four adolescents (age 14-17) completed pre- and postseason MRI and MEG scanning. MEG whole-brain delta power was calculated for each subject and normalized by the subject's total power. In eight high school football players diagnosed with a concussion during the season (mean age = 15.8), preseason delta power was subtracted from their postseason scan. In eight high school football players without a concussion (mean age = 15.7), preseason delta power was subtracted from postseason delta power and in eight age-matched noncontact controls (mean age = 15.9), baseline delta power was subtracted from a 4-month follow-up scan. ANOVA was used to compare the mean differences between preseason and postseason scans for the three groups of players, with pairwise comparisons based on Student's t-test method. RESULTS Players with concussions had significantly increased delta wave power at their postseason scans than nonconcussed players (p = .018) and controls (p = .027). CONCLUSION We demonstrate that a single concussion during the season in adolescent subjects can increase MEG measured delta frequency power at their postseason scan. This adds to the growing body of literature indicating increased delta power following a concussion.
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Affiliation(s)
- Elizabeth M Davenport
- Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, Texas.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Virginia Tech-Wake Forest School of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christopher Vaughan
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jesse C DeSimone
- Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, Texas.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Ben Wagner
- Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, Texas.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Mark A Espeland
- Department of Radiology-Neuroradiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Alexander K Powers
- Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christopher T Whitlow
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Childress Institute for Pediatric Trauma, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Division of Pediatric Neuropsychology, Children's National Health System, Washington, District of Columbia
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Virginia Tech-Wake Forest School of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Division of Pediatric Neuropsychology, Children's National Health System, Washington, District of Columbia.,Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joseph A Maldjian
- Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, Texas.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
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16
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Schieffer S, Costa C, Gawdi R, Devane K, Ronning IN, Hartka T, Martin RS, Kiani B, Miller AN, Hsu FC, Stitzel JD, Weaver AA. Body mass index influence on lap belt position and abdominal injury in frontal motor vehicle crashes. Traffic Inj Prev 2022; 23:494-499. [PMID: 36037019 DOI: 10.1080/15389588.2022.2113782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE As obesity rates climb, it is important to study its effects on motor vehicle safety due to differences in restraint interaction and biomechanics. Previous studies have shown that an abdominal seatbelt sign (referred hereafter as seatbelt sign) sustained from motor vehicle crashes (MVCs) is associated with abdominal trauma when located above the anterior superior iliac spine (ASIS). This study investigates whether placement of the lap belt causing a seatbelt sign is associated with abdominal organ injury in occupants with increased body mass index (BMI). We hypothesized that higher BMI would be associated with a higher incidence of superior placement of the lap belt to the ASIS level, and a higher incidence of abdominal organ injury. METHODS A retrospective data analysis was performed using 230 cases that met inclusion criteria (belted occupant in a frontal collision that sustained at least one abdominal injury) from the Crash Injury Research and Engineering Network (CIREN) database. Computed tomography (CT) scans were rendered to visualize fat stranding to determine the presence of a seatbelt sign. 146 positive seatbelt signs were visualized. ASIS level was measured by adjusting the transverse slice of the CT to the visualized ASIS level, which was used to determine seatbelt sign location as superior, on, or inferior to the ASIS. RESULTS Obese occupants had a significantly higher incidence of superior belt placement (52%) vs on-ASIS placement (24%) compared to their normal (27% vs 67%) BMI counterparts (p < 0.001). Notable trends included obese occupants with superior placement having less abdominal organ injury incidence than those with on-ASIS belt placement (42% superior placement vs 55% on-ASIS). In non-obese occupants, there was a higher incidence of abdominal organ injury with superior lap belt placement compared to on-ASIS placement counterparts (Normal BMI: 62% vs 41%, Overweight: 57% vs 43%). CONCLUSIONS In CIREN occupants with abdominal injury, those with obesity are more prone to positioning the lap belt superior to the ASIS, though the impact on abdominal injury incidence remains a key point for continued exploration into how occupant BMI affects crash safety and belt design.
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Affiliation(s)
- Sydney Schieffer
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Casey Costa
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Rohin Gawdi
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Karan Devane
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Isaac N Ronning
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Thomas Hartka
- Department of Emergency Medicine, University of Virginia, Charlottesville, Virginia
| | - R Shayn Martin
- Department of Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Bahram Kiani
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anna N Miller
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Filben TM, Pritchard NS, Oravec CS, Hile CW, Bercaw JR, Zoch SR, Miller LE, Bullock GS, Flashman LA, Miles CM, Urban JE, Stitzel JD. Pilot characterization of head kinematics in grassroots dirt track racing. Traffic Inj Prev 2022; 23:S38-S43. [PMID: 35939323 DOI: 10.1080/15389588.2022.2103688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 07/10/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE The objective of this study was to utilize an instrumented mouthpiece sensor to characterize head kinematics experienced by grassroots dirt track race car drivers. METHODS Four dirt track race car drivers (ages 16-19) were instrumented with custom mouthpiece sensors capable of accurately measuring head motion during racing. Sensors were deployed before races and recorded tri-axial linear acceleration and rotational velocity for approximately 10 min at 200 Hz. Film review was performed to identify data associated with racing laps. For each lap, moving average kinematics were computed and subtracted from the head motion signals to obtain 'adjusted' head motion accounting for lower frequency variance due to periodic motion around the track. From adjusted data, linear and angular head perturbations (i.e., deviations from moving average) were extracted using a custom algorithm. RESULTS Data was collected during 400 driver-races. A total of 2438 laps were segmented from mouthpiece recordings. The median (95th percentile) peak linear acceleration, rotational velocity, and rotational acceleration of all laps were 5.33 (8.28) g, 2.89 (4.60) rad/s, and 179 (310) rad/s2, respectively. Angular perturbations occurred most frequently about the anterior-posterior axis (median lap frequency = 6.39 Hz); whereas linear perturbations occurred most frequently in the inferior-superior direction (7.96 Hz). Nine crash events were recorded by the mouthpiece sensors. The median (95th percentile) peak head kinematics of these events were 13.4 (36.6) g, 9.67 (21.9) rad/s, and 630 (1330) rad/s2. CONCLUSIONS Mouthpiece sensors can be used to measure head kinematics during active racing. Laps, head perturbations, and crashes may be useful units of observation to describe typical head kinematic exposure experienced by drivers while racing. Subsequent research is needed to understand the associations between repetitive racing exposure and neurological function. Higher magnitude events (i.e., crashes) are not uncommon and may result in concussion or more severe injury. Results represent novel characterizations of head kinematic exposure experienced in a dirt track racing environment. This information may inform evidence-based strategies (e.g., vehicle/seat design) to improve driver safety.
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Affiliation(s)
- Tanner M Filben
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, North Carolina
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, North Carolina
| | - Chesney S Oravec
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Connor W Hile
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jefferson R Bercaw
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sophia R Zoch
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, North Carolina
| | - Garrett S Bullock
- Department of Orthopaedic Surgery & Rehabilitation, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Laura A Flashman
- Department of Neurology, Section of Neuropsychology, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, North Carolina
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, North Carolina
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18
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Lynch SD, Weaver AA, Barnard RT, Kiani B, Stitzel JD, Zonfrillo MR. Age-based differences in the disability of spine injuries in pediatric and adult motor vehicle crash occupants. Traffic Inj Prev 2022; 23:358-363. [PMID: 35709315 PMCID: PMC9756938 DOI: 10.1080/15389588.2022.2086980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 05/27/2022] [Accepted: 06/02/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE The objective was to develop a disability-based metric for quantifying disability rates as a result of motor vehicle crash (MVC) spine injuries and compare functional outcomes between pediatric and adult subgroups. METHODS Disability rate was quantified using Functional Independence Measure (FIM) scores within the National Trauma Data Bank-Research Data System for the top 95% most frequent Abbreviated Injury Scale (AIS) 3 spine injuries (14 unique injuries). Pediatric (7-18 years), young adult (19-45 years), middle-aged adult (46-65 years), and older adult (66+ years) MVC occupants with FIM scores available and at least one of the 14 spine injuries were included. FIM scores of 1 or 2 at time of discharge were used to define disability and correspond to full functional or modified dependence in self-feeding, locomotion, and/or verbal expression. Disability rate was evaluated on a per injury basis for each AIS 3 spine injury and calculated as the proportion of cases associated with disability (i.e. FIM of 1 or 2) out of the total cases of that particular injury. Disability rates were calculated with and without the exclusion of cases with severe co-injuries (AIS 4+) to minimize bias from additional non-spinal injuries that could have contributed to disability. Associations between adjusted disability rates and existing mortality rates were investigated. RESULTS Locomotion impairment alone was the most frequent disability type for the top 14 AIS 3 spine injuries (7 cervical, 4 thoracic, and 3 lumbar) across all age groups and spine regions. Adjusted and unadjusted disability rates ranged from 0-69%. Adjusted disability rates increased with age: 14.8 ± 10% (mean ± SD) in pediatrics to 16.2 ± 6.6% (young adults), 29.2 ± 10.9% (middle-aged adults), and 45.0 ± 12.2% (older adults). Among all adult populations, adjusted mortality and disability rates were positively correlated (R2>0.24), with disability rates consistently greater than corresponding mortality rates. CONCLUSIONS Older adults had significantly greater disability rates associated with MVC spine injuries across all spinal regions. MVC disability rates for pediatrics were considerably lower. Overall, rates of mortality were significantly lower than rates of disability. The adjusted disability rates developed can supplement existing injury metrics by accounting for age- and location-specific functional implications of MVC spine injuries.
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Affiliation(s)
- S. Delanie Lynch
- Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
| | - Ashley A. Weaver
- Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
| | - Ryan T. Barnard
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Bahram Kiani
- Department of Radiology, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, North Carolina
| | - Joel D. Stitzel
- Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
| | - Mark R. Zonfrillo
- Department of Emergency Medicine, Alpert Medical School of Brown University and Hasbro Children’s Hospital, Providence, Rhode Island
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19
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Miller LE, Urban JE, Espeland MA, Walkup MP, Holcomb JM, Davenport EM, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD. Cumulative strain-based metrics for predicting subconcussive head impact exposure-related imaging changes in a cohort of American youth football players. J Neurosurg Pediatr 2022; 29:387-396. [PMID: 35061991 PMCID: PMC9404368 DOI: 10.3171/2021.10.peds21355] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/27/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Youth football athletes are exposed to repetitive subconcussive head impacts during normal participation in the sport, and there is increasing concern about the long-term effects of these impacts. The objective of the current study was to determine if strain-based cumulative exposure measures are superior to kinematic-based exposure measures for predicting imaging changes in the brain. METHODS This prospective, longitudinal cohort study was conducted from 2012 to 2017 and assessed youth, male football athletes. Kinematic data were collected at all practices and games from enrolled athletes participating in local youth football organizations in Winston-Salem, North Carolina, and were used to calculate multiple risk-weighted cumulative exposure (RWE) kinematic metrics and 36 strain-based exposure metrics. Pre- and postseason imaging was performed at Wake Forest School of Medicine, and diffusion tensor imaging (DTI) measures, including fractional anisotropy (FA), and its components (CL, CP, and CS), and mean diffusivity (MD), were investigated. Included participants were youth football players ranging in age from 9 to 13 years. Exclusion criteria included any history of previous neurological illness, psychiatric illness, brain tumor, concussion within the past 6 months, and/or contraindication to MRI. RESULTS A total of 95 male athletes (mean age 11.9 years [SD 1.0 years]) participated between 2012 and 2017, with some participating for multiple seasons, resulting in 116 unique athlete-seasons. Regression analysis revealed statistically significant linear relationships between the FA, linear coefficient (CL), and spherical coefficient (CS) and all strain exposure measures, and well as the planar coefficient (CP) and 8 strain measures. For the kinematic exposure measures, there were statistically significant relationships between FA and RWE linear (RWEL) and RWE combined probability (RWECP) as well as CS and RWEL. According to area under the receiver operating characteristic (ROC) curve (AUC) analysis, the best-performing metrics were all strain measures, and included metrics based on tensile, compressive, and shear strain. CONCLUSIONS Using ROC curves and AUC analysis, all exposure metrics were ranked in order of performance, and the results demonstrated that all the strain-based metrics performed better than any of the kinematic metrics, indicating that strain-based metrics are better discriminators of imaging changes than kinematic-based measures. Studies relating the biomechanics of head impacts with brain imaging and cognitive function may allow equipment designers, care providers, and organizations to prevent, identify, and treat injuries in order to make football a safer activity.
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Affiliation(s)
- Logan E. Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem,School of Biomedical Engineering and Sciences, Virginia Tech–Wake Forest University, Winston-Salem
| | - Jillian E. Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem,School of Biomedical Engineering and Sciences, Virginia Tech–Wake Forest University, Winston-Salem
| | - Mark A. Espeland
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem
| | - Michael P. Walkup
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem
| | - James M. Holcomb
- Department of Radiology, University of Texas Southwestern Medical School, Dallas, Texas
| | | | - Alexander K. Powers
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem,Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem
| | - Christopher T. Whitlow
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem,Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joseph A. Maldjian
- Department of Radiology, University of Texas Southwestern Medical School, Dallas, Texas
| | - Joel D. Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem,School of Biomedical Engineering and Sciences, Virginia Tech–Wake Forest University, Winston-Salem
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20
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Costa C, Gaewsky JP, Stitzel JD, Gayzik FS, Hsu FC, Martin RS, Miller AN, Weaver AA. Development and implementation of a time- and computationally-efficient methodology for reconstructing real-world crashes using finite element modeling to improve crash injury research investigations. Comput Methods Biomech Biomed Engin 2021; 25:1332-1349. [PMID: 34866520 DOI: 10.1080/10255842.2021.2009469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Eleven Crash Injury Research and Engineering Network (CIREN) frontal crashes were reconstructed using a novel, time-efficient methodology involving a simplified vehicle model. Kinematic accuracy was assessed using novel kinematic scores between 0-1 and chest injury was assessed using literature-defined injury metric time histories. The average kinematic score across all simulations was 0.87, indicating good kinematic accuracy. Time histories for chest compression, rib strain, shoulder belt force, and steering column force discerned the most causative components of chest injury in all cases. Abbreviated Injury Scale (AIS) 2+ and AIS 3+ chest injury risk functions using belt force identified chest injury with 81.8% success.
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Affiliation(s)
- Casey Costa
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Elemance, LLC, Clemmons, North Carolina, USA
| | - F Scott Gayzik
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Elemance, LLC, Clemmons, North Carolina, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - R Shayn Martin
- Department of Trauma Surgery, Wake Forest Baptist Health, Winston-Salem, North Carolina, USA
| | - Anna N Miller
- Department of Orthopaedic Surgery, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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21
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Filben TM, Pritchard NS, Miller LE, Miles CM, Urban JE, Stitzel JD. Header biomechanics in youth and collegiate female soccer. J Biomech 2021; 128:110782. [PMID: 34656012 DOI: 10.1016/j.jbiomech.2021.110782] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 11/17/2022]
Abstract
Concerns about the effects of intentional heading in soccer have led to regulatory restrictions on headers for youth players. However, there is limited data describing how header exposure varies across age levels, and few studies have attempted to compare head impact exposure across different levels of play with the same sensor. Additionally, little is known about the biomechanical response of the brain to header impacts. The objective of this study was to evaluate head kinematics and the resulting tissue-level brain strain associated with intentional headers among youth and collegiate female soccer players. Six youth and 13 collegiate participants were instrumented with custom mouthpiece-based sensors measuring six-degree-of-freedom head kinematics of headers during practices and games. Kinematics of film-verified headers were used to drive impact simulations with a detailed brain finite element model to estimate tissue-level strain. Linear and rotational head kinematics and strain metrics, specifically 95th percentile maximum principal strain (ε1,95) and the area under the cumulative strain damage measure curve (VSM1), were compared across levels of play (i.e., youth vs. collegiate) while adjusting for session type and ball delivery method. A total of 483 headers (n = 227 youth, n = 256 collegiate) were analyzed. Level of play was significantly associated with linear acceleration, rotational acceleration, rotational velocity, ε1,95, and VSM1. Headers performed by collegiate players had significantly greater mean head kinematics and strain metrics compared to those performed by youth players (all p < .001). Targeted interventions aiming to reduce head impact magnitude in soccer should consider factors associated with the level of play.
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Affiliation(s)
- Tanner M Filben
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA.
| | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
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22
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Treacher AH, Garg P, Davenport E, Godwin R, Proskovec A, Bezerra LG, Murugesan G, Wagner B, Whitlow CT, Stitzel JD, Maldjian JA, Montillo AA. MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. Neuroimage 2021; 241:118402. [PMID: 34274419 PMCID: PMC9125748 DOI: 10.1016/j.neuroimage.2021.118402] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 06/18/2021] [Accepted: 07/15/2021] [Indexed: 11/28/2022] Open
Abstract
Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields induced by neuronal activity; however, signal from non-neuronal sources can corrupt the data. Eye-blinks, saccades, and cardiac activity are three of the most common sources of non-neuronal artifacts. They can be measured by affixing eye proximal electrodes, as in electrooculography (EOG), and chest electrodes, as in electrocardiography (ECG), however this complicates imaging setup, decreases patient comfort, and can induce further artifacts from movement. This work proposes an EOG- and ECG-free approach to identify eye-blinks, saccades, and cardiac activity signals for automated artifact suppression. The contribution of this work is three-fold. First, using a data driven, multivariate decomposition approach based on Independent Component Analysis (ICA), a highly accurate artifact classifier is constructed as an amalgam of deep 1-D and 2-D Convolutional Neural Networks (CNNs) to automate the identification and removal of ubiquitous whole brain artifacts including eye-blink, saccade, and cardiac artifacts. The specific architecture of this network is optimized through an unbiased, computer-based hyperparameter random search. Second, visualization methods are applied to the learned abstraction to reveal what features the model uses and to bolster user confidence in the model's training and potential for generalization. Finally, the model is trained and tested on both resting-state and task MEG data from 217 subjects, and achieves a new state-of-the-art in artifact detection accuracy of 98.95% including 96.74% sensitivity and 99.34% specificity on the held out test-set. This work automates MEG processing for both clinical and research use, adapts to the acquired acquisition time, and can obviate the need for EOG or ECG electrodes for artifact detection.
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Affiliation(s)
- Alex H Treacher
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States
| | - Prabhat Garg
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States
| | - Elizabeth Davenport
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States; Magnetoencephalography Center of Excellence, UT Southwestern Medical Center, Dallas, TX, United States
| | - Ryan Godwin
- Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Amy Proskovec
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States; Magnetoencephalography Center of Excellence, UT Southwestern Medical Center, Dallas, TX, United States
| | | | - Gowtham Murugesan
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States
| | - Ben Wagner
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States; Magnetoencephalography Center of Excellence, UT Southwestern Medical Center, Dallas, TX, United States
| | | | - Joel D Stitzel
- Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Joseph A Maldjian
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States; Magnetoencephalography Center of Excellence, UT Southwestern Medical Center, Dallas, TX, United States
| | - Albert A Montillo
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States; Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States.
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23
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Abstract
Ice hockey has one of the highest concussion rates among youth sports. Sensor technology has been implemented in contact and collision sports to inform the frequency and severity of head impacts experienced on-ice. However, existing studies have utilized helmet-mounted sensors with limited accuracy. The objective of this study was to characterize head kinematics of contact events in a sample of youth boys' hockey players using a validated instrumented mouthpiece with improved accuracy. Head kinematics from 892 video-verified events were recorded from 18 athletes across 127 sessions. Median peak resultant linear acceleration, rotational velocity, and rotational acceleration of video-verified events were 7.4 g, 7.7 rad/s, and 576 rad/s2, respectively. Contact events occurred at a higher rate in games (2.48 per game) than practices (1.30 per practice). Scenarios involving head contact had higher peak kinematics than those without head contact. This study improves our understanding of head kinematics in boys' youth hockey.
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Affiliation(s)
- Abigail G Swenson
- Department of Neuroscience, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - N Stewart Pritchard
- Virginia Tech, Wake Forest University School of Biomedical Engineering and Sciences, Winston Salem, NC, USA
| | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston Salem, NC, USA
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24
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Schieffer S, Costa C, Hartka T, Stitzel JD, Shayn Martin R, Kiani B, Miller AN, Weaver AA. The relationship of body mass index, belt placement, and abdominopelvic injuries in motor vehicle crashes: A Crash Injury Research and Engineering Network (CIREN) study. Traffic Inj Prev 2021; 22:S146-S148. [PMID: 34663141 DOI: 10.1080/15389588.2021.1982596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
OBJECTIVE Obesity has important implications for motor vehicle safety due to altered crash injury responses from increased mass and improper seatbelt placement. Abdominal seatbelt signs (ASBS) above the anterior superior iliac spine (ASIS) in motor vehicle crashes (MVCs) often correlate with abdominopelvic trauma. We investigated the relationship of body mass index (BMI), lap belt placement, and the incidence of abdominopelvic injury using computed tomography (CT) evaluation for subcutaneous ASBS mark and its location relative to the ASIS. METHODS A retrospective analysis of 235 Crash Injury Research and Engineering Network (CIREN) cases and their associated abdominal injuries was conducted. CT Scans were analyzed to visualize fat stranding. 150 positive ASBS were found and their ASBS mark location was classified as superior, on, or inferior to the ASIS. RESULTS Obese occupants had a higher incidence rate of belt placement superior to the ASIS, and occupants with normal BMI had a higher incidence of proper belt placement (p < 0.05). Trends of interest developed, notably that non-obese occupants with superior belt placement had increased incidence of internal abdominopelvic organ injury compared to those with proper belt placement (Normal BMI: 53.3% superior vs 39.4% On-ASIS, Overweight: 47.8% superior vs 34.7% On-ASIS). CONCLUSIONS Utilizing CT scans to confirm ASBS and lap belt placement relative to the ASIS, superior belt placement above the ASIS was associated with elevated BMI and a trend of increasing incidence of internal abdominopelvic organ injury.
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Affiliation(s)
- Sydney Schieffer
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Casey Costa
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Thomas Hartka
- Department of Emergency Medicine, University of Virginia, Charlottesville, Virginia
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - R Shayn Martin
- Department of Trauma Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Bahram Kiani
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anna N Miller
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
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25
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Holcomb JM, Fisicaro RA, Miller LE, Yu FF, Davenport EM, Xi Y, Urban JE, Wagner BC, Powers AK, Whitlow CT, Stitzel JD, Maldjian JA. Regional White Matter Diffusion Changes Associated with the Cumulative Tensile Strain and Strain Rate in Nonconcussed Youth Football Players. J Neurotrauma 2021; 38:2763-2771. [PMID: 34039024 PMCID: PMC8820832 DOI: 10.1089/neu.2020.7580] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The purpose of this study is to assess the relationship between regional white matter diffusion imaging changes and finite element strain measures in nonconcussed youth football players. Pre- and post-season diffusion-weighted imaging was performed in 102 youth football subject-seasons, in which no concussions were diagnosed. The diffusion data were normalized to the IXI template. Percent change in fractional anisotropy (%ΔFA) images were generated. Using data from the head impact telemetry system, the cumulative maximum principal strain one times strain rate (CMPS1 × SR), a measure of the cumulative tensile brain strain and strain rate for one season, was calculated for each subject. Two linear regression analyses were performed to identify significant positive or inverse relationships between CMPS1 × SR and %ΔFA within the international consortium for brain mapping white matter mask. Age, body mass index, days between pre- and post-season imaging, previous brain injury, attention disorder diagnosis, and imaging protocol were included as covariates. False discovery rate correction was used with corrected alphas of 0.025 and voxel thresholds of zero. Controlling for all covariates, a significant, positive linear relationship between %ΔFA and CMPS1 × SR was identified in the bilateral cingulum, fornix, internal capsule, external capsule, corpus callosum, corona radiata, corticospinal tract, cerebral and middle cerebellar peduncle, superior longitudinal fasciculus, and right superior fronto-occipital fasciculus. Post hoc analyses further demonstrated significant %ΔFA differences between high-strain football subjects and noncollision control athletes, no significant %ΔFA differences between low-strain subjects and noncollision control athletes, and that CMPS1 × SR significantly explained more %ΔFA variance than number of head impacts alone.
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Affiliation(s)
- James M. Holcomb
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ryan A. Fisicaro
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Logan E. Miller
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Fang F. Yu
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Yin Xi
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jillian E. Urban
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Ben C. Wagner
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | | | - Joel D. Stitzel
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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26
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Reddy DD, Davenport EM, Yu FF, Wagner B, Urban JE, Whitlow CT, Stitzel JD, Maldjian JA. Alterations in the Magnetoencephalography Default Mode Effective Connectivity following Concussion. AJNR Am J Neuroradiol 2021; 42:1776-1782. [PMID: 34503943 DOI: 10.3174/ajnr.a7232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 05/05/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Magnetoencephalography is sensitive to functional connectivity changes associated with concussion. However, the directional influences between functionally related regions remain unexplored. In this study, we therefore evaluated concussion-related magnetoencephalography-based effective connectivity changes within resting-state default mode network regions. MATERIALS AND METHODS Resting-state magnetoencephalography was acquired for 8 high school football players with concussion at 3 time points (preseason, postconcussion, postseason), as well as 8 high school football players without concussion and 8 age-matched controls at 2 time points (preseason, postseason). Time-series from the default mode network regions were extracted, and effective connectivity between them was computed for 5 different frequency bands. The default mode network regions were grouped into anterior and posterior default mode networks. The combined posterior-to-anterior and anterior-to-posterior effective connectivity values were averaged to generate 2 sets of values for each subject. The effective connectivity values were compared using a repeated measures ANOVA across time points for the concussed, nonconcussed, and control groups, separately. RESULTS A significant increase in posterior-to-anterior effective connectivity from preseason to postconcussion (corrected P value = .013) and a significant decrease in posterior-to-anterior effective connectivity from postconcussion to postseason (corrected P value = .028) were observed in the concussed group. Changes in effective connectivity were only significant within the delta band. Anterior-to-posterior connectivity demonstrated no significant change. Effective connectivity in the nonconcussed group and controls did not show significant differences. CONCLUSIONS The unidirectional increase in effective connectivity postconcussion may elucidate compensatory processes, invoking use of posterior regions to aid the function of susceptible anterior regions following brain injury. These findings support the potential value of magnetoencephalography in exploring directional changes of the brain network following concussion.
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Affiliation(s)
- D D Reddy
- From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas
| | - E M Davenport
- From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas
| | - F F Yu
- From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas
| | - B Wagner
- From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas
| | - J E Urban
- Wake Forest School of Medicine (J.E.U. C.T.W., J.D.S.), Winston-Salem, North Carolina
| | - C T Whitlow
- Wake Forest School of Medicine (J.E.U. C.T.W., J.D.S.), Winston-Salem, North Carolina
| | - J D Stitzel
- Wake Forest School of Medicine (J.E.U. C.T.W., J.D.S.), Winston-Salem, North Carolina
| | - J A Maldjian
- From the Department of Radiology (D.D.R., E.M.D., F.F.Y., B.W., J.A.M.), University of Texas Southwestern, Dallas, Texas
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Filben TM, Pritchard NS, Hanes-Romano KE, Miller LE, Miles CM, Urban JE, Stitzel JD. Comparison of women's collegiate soccer header kinematics by play state, intent, and outcome. J Biomech 2021; 126:110619. [PMID: 34325122 DOI: 10.1016/j.jbiomech.2021.110619] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 04/29/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022]
Abstract
Although most head impacts in soccer are headers, limited knowledge exists about how header magnitude varies by on-field scenario. This study aimed to compare head kinematics during on-field headers by play state (i.e., corner kick, goal kick, free kick, throw-in, drill, or live ball), intent (i.e., pass, shot, or clearance), and outcome (i.e., successful or unsuccessful). Fifteen female collegiate soccer players were instrumented with mouthpiece-based head impact sensors during 72 practices and 24 games. A total of 336 headers were verified and contextualized via film review. Play state was associated with peak linear acceleration, rotational acceleration, and rotational velocity (all p < .001) while outcome was associated with peak linear acceleration (p < .010). Header intent was not significantly associated with any kinematic metric. Headers during corner kicks (22.9 g, 2189.3 rad/s2, 9.87 rad/s), goal kicks (24.3 g, 2658.9 rad/s2, 10.1 rad/s), free kicks (18.0 g, 1843.3 rad/s2, 8.43 rad/s), and live balls (18.8 g, 1769.7 rad/s2, 8.09 rad/s) each had significantly greater mean peak linear acceleration (all p < .050), rotational acceleration (all p < .001), and rotational velocity (all p < .001) than headers during drills (13.0 g, 982.4 rad/s2, 5.28 rad/s). Headers during goal kicks also had a significantly greater mean rotational acceleration compared to headers during live ball scenarios (p < .050). Successful headers (18.3 g) had a greater mean peak linear acceleration compared to unsuccessful headers (13.8 g; p < .010). Results may help inform efforts to reduce head impact exposure in soccer.
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Affiliation(s)
- Tanner M Filben
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA.
| | - N Stewart Pritchard
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | | | - Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Christopher M Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; Sports Medicine, Wake Forest Baptist Health, Winston-Salem, NC, USA; Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA; School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Winston-Salem, NC, USA
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Kelley ME, Urban JE, Jones DA, Davenport EM, Miller LE, Snively BM, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD. Analysis of longitudinal head impact exposure and white matter integrity in returning youth football players. J Neurosurg Pediatr 2021; 28:196-205. [PMID: 34130257 PMCID: PMC10193468 DOI: 10.3171/2021.1.peds20586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 01/11/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The objective of this study was to characterize changes in head impact exposure (HIE) across multiple football seasons and to determine whether changes in HIE correlate with changes in imaging metrics in youth football players. METHODS On-field head impact data and pre- and postseason imaging data, including those produced by diffusion tensor imaging (DTI), were collected from youth football athletes with at least two consecutive seasons of data. ANCOVA was used to evaluate HIE variations (number of impacts, peak linear and rotational accelerations, and risk-weighted cumulative exposure) by season number. DTI scalar metrics, including fractional anisotropy, mean diffusivity, and linear, planar, and spherical anisotropy coefficients, were evaluated. A control group was used to determine the number of abnormal white matter voxels, which were defined as 2 standard deviations above or below the control group mean. The difference in the number of abnormal voxels between consecutive seasons was computed for each scalar metric and athlete. Linear regression analyses were performed to evaluate relationships between changes in HIE metrics and changes in DTI scalar metrics. RESULTS There were 47 athletes with multiple consecutive seasons of HIE, and corresponding imaging data were available in a subsample (n = 19) of these. Increases and decreases in HIE metrics were observed among individual athletes from one season to the next, and no significant differences (all p > 0.05) in HIE metrics were observed by season number. Changes in the number of practice impacts, 50th percentile impacts per practice session, and 50th percentile impacts per session were significantly positively correlated with changes in abnormal voxels for all DTI metrics. CONCLUSIONS These results demonstrate a significant positive association between changes in HIE metrics and changes in the numbers of abnormal voxels between consecutive seasons of youth football. Reducing the number and frequency of head impacts, especially during practice sessions, may decrease the number of abnormal imaging findings from one season to the next in youth football.
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Affiliation(s)
- Mireille E. Kelley
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | - Jillian E. Urban
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | - Derek A. Jones
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | | | - Logan E. Miller
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
| | | | | | - Christopher T. Whitlow
- Departments of Biomedical Engineering
- Radiology (Neuroradiology), and
- Clinical and Translational Sciences Institute, Wake Forest School of Medicine, Winston-Salem
| | - Joseph A. Maldjian
- Department of Radiology, University of Texas Southwestern, Dallas, Texas
| | - Joel D. Stitzel
- Departments of Biomedical Engineering
- Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina; and
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DiGuglielmo DM, Milef GM, Moore JB, Kelley ME, Powers AK, Stitzel JD, Urban JE. Effect of Coach Feedback and Awareness of Head Impact Exposure on Practice Structure in Youth Football. J Neurotrauma 2021; 38:1389-1398. [PMID: 33397198 PMCID: PMC8082724 DOI: 10.1089/neu.2020.7224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
With the concern of concussion risk and repetitive head impacts in youth football, organizations have adopted rules that limit contact during practice. However, rule changes are not ubiquitous among organizations and are challenging to monitor and enforce. Ultimately, football practice activities are determined by coaches, but it is unknown whether providing objective data to coaches relating activities to their athletes' head impact exposure (HIE) would alter practice structure or help reduce HIE. This study evaluated the effect of coach awareness of HIE on practice structure over time. Head impact data from three intervention (56 players) and three control (38 players) teams were collected over two youth football seasons. Athletes were instrumented with the Head Impact Telemetry (HIT) System and time-synchronized video was recorded for practices and games. Impact frequencies and head accelerations were compiled into weekly HIE practice and game reports and shared with the head coach of each intervention team. Time per drill, impact rate, and impact magnitude were compared across three time frames (pre-season, mid-season, and late-season) using generalized linear models. Control teams had higher impact rates than intervention teams in all drills across time frames. Among all teams, 95th percentile linear and rotational accelerations were highest during mid-season. Among intervention teams, more time was spent on scrimmage and skill development from pre-season to late-season, with less time spent on tackling. This study suggests that receiving objective data informing HIE in practice may contribute to changes in practice structure and help inform intervention efforts to improve head impact safety in football.
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Affiliation(s)
- Daniella M. DiGuglielmo
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Virginia Tech–Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina, USA
| | - Gabriella M. Milef
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Virginia Tech–Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina, USA
| | - Justin B. Moore
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Mireille E. Kelley
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Virginia Tech–Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina, USA
| | - Alexander K. Powers
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Joel D. Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Virginia Tech–Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina, USA
| | - Jillian E. Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Virginia Tech–Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina, USA
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30
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DeSimone JC, Davenport EM, Urban J, Xi Y, Holcomb JM, Kelley ME, Whitlow CT, Powers AK, Stitzel JD, Maldjian JA. Mapping default mode connectivity alterations following a single season of subconcussive impact exposure in youth football. Hum Brain Mapp 2021; 42:2529-2545. [PMID: 33734521 PMCID: PMC8090779 DOI: 10.1002/hbm.25384] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 02/09/2021] [Accepted: 02/10/2021] [Indexed: 12/14/2022] Open
Abstract
Repetitive head impact (RHI) exposure in collision sports may contribute to adverse neurological outcomes in former players. In contrast to a concussion, or mild traumatic brain injury, “subconcussive” RHIs represent a more frequent and asymptomatic form of exposure. The neural network‐level signatures characterizing subconcussive RHIs in youth collision‐sport cohorts such as American Football are not known. Here, we used resting‐state functional MRI to examine default mode network (DMN) functional connectivity (FC) following a single football season in youth players (n = 50, ages 8–14) without concussion. Football players demonstrated reduced FC across widespread DMN regions compared with non‐collision sport controls at postseason but not preseason. In a subsample from the original cohort (n = 17), players revealed a negative change in FC between preseason and postseason and a positive and compensatory change in FC during the offseason across the majority of DMN regions. Lastly, significant FC changes, including between preseason and postseason and between in‐ and off‐season, were specific to players at the upper end of the head impact frequency distribution. These findings represent initial evidence of network‐level FC abnormalities following repetitive, non‐concussive RHIs in youth football. Furthermore, the number of subconcussive RHIs proved to be a key factor influencing DMN FC.
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Affiliation(s)
- Jesse C. DeSimone
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Elizabeth M. Davenport
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Jillian Urban
- Department of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Yin Xi
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - James M. Holcomb
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Mireille E. Kelley
- Department of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Christopher T. Whitlow
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Department of Radiology – NeuroradiologyWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Clinical and Translational Sciences InstituteWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Alexander K. Powers
- Department of NeurosurgeryWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Joel D. Stitzel
- Department of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Clinical and Translational Sciences InstituteWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Childress Institute for Pediatric TraumaWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Joseph A. Maldjian
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
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Campbell KR, Marshall SW, Luck JF, Pinton GF, Stitzel JD, Boone JS, Guskiewicz KM, Mihalik JP. Head Impact Telemetry System's Video-based Impact Detection and Location Accuracy. Med Sci Sports Exerc 2021; 52:2198-2206. [PMID: 32936594 DOI: 10.1249/mss.0000000000002371] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
PURPOSE This study aimed to quantify the Head Impact Telemetry (HIT) System's impact detection and location measurement accuracy using an impact biomechanics data set paired with video of high school football special teams plays. METHODS The head impact biomechanics data set and video were collected from 22 high school football players, wearing HIT System instrumented helmets, competing in 218 special teams plays over a single high school football season. We used two separate video analysis approaches. To quantify the impact detection accuracy, we evaluated the video for head impacts independently of the impact data collection triggers collected by the HIT System. Video-observed impacts matched to valid and invalid head impacts by the HIT System algorithm were categorized as true positives, false positives, false negatives, and true negatives. To quantify impact location accuracy, we analyzed video-synchronized head impacts for impact location independent of the HIT System's impact location measurement and quantified the estimated percent agreement of impact location between the HIT System recorded impact location and the impact location observed on video. RESULTS The HIT System's impact-filtering algorithm had 69% sensitivity, 72% specificity, and 70% accuracy in categorizing true and non-head impact data collection triggers. The HIT System agreed with video-observed impact locations on 64% of the 129 impacts we analyzed (unweighted k = 0.43, 95% confidence interval = 0.31-0.54). CONCLUSION This work provides data on the HIT System's impact detection and location accuracy during high school football special teams plays using game video analysis that has not been previously published. Based on our data, we believe that the HIT System is useful for estimating population-based impact location distributions for special teams plays.
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Affiliation(s)
| | - Stephen W Marshall
- Injury Prevention Research Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jason F Luck
- Injury Biomechanics Laboratory, Department of Biomedical Engineering, Duke University, Durham, NC
| | - Gianmarco F Pinton
- Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC
| | | | - Joshua S Boone
- Department of Exercise and Sport Science, Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
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Miller LE, Urban JE, Davenport EM, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD. Brain Strain: Computational Model-Based Metrics for Head Impact Exposure and Injury Correlation. Ann Biomed Eng 2021; 49:1083-1096. [PMID: 33258089 PMCID: PMC10032321 DOI: 10.1007/s10439-020-02685-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/20/2020] [Indexed: 12/20/2022]
Abstract
Athletes participating in contact sports are exposed to repetitive subconcussive head impacts that may have long-term neurological consequences. To better understand these impacts and their effects, head impacts are often measured during football to characterize head impact exposure and estimate injury risk. Despite widespread use of kinematic-based metrics, it remains unclear whether any single metric derived from head kinematics is well-correlated with measurable changes in the brain. This shortcoming has motivated the increasing use of finite element (FE)-based metrics, which quantify local brain deformations. Additionally, quantifying cumulative exposure is of increased interest to examine the relationship to brain changes over time. The current study uses the atlas-based brain model (ABM) to predict the strain response to impacts sustained by 116 youth football athletes and proposes 36 new, or derivative, cumulative strain-based metrics that quantify the combined burden of head impacts over the course of a season. The strain-based metrics developed and evaluated for FE modeling and presented in the current study present potential for improved analytics over existing kinematically-based and cumulative metrics. Additionally, the findings highlight the importance of accounting for directional dependence and expand the techniques to explore spatial distribution of the strain response throughout the brain.
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Affiliation(s)
- Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
| | - Elizabeth M Davenport
- Department of Radiology, Southwestern Medical School, University of Texas, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA
| | - Alexander K Powers
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Department of Neurosurgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Christopher T Whitlow
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Joseph A Maldjian
- Department of Radiology, Southwestern Medical School, University of Texas, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
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Shah BR, Holcomb JM, Davenport EM, Lack CM, McDaniel JM, Imphean DM, Xi Y, Rosenbaum DA, Urban JE, Wagner BC, Powers AK, Whitlow CT, Stitzel JD, Maldjian JA. Prevalence and Incidence of Microhemorrhages in Adolescent Football Players. AJNR Am J Neuroradiol 2020; 41:1263-1268. [PMID: 32661051 DOI: 10.3174/ajnr.a6618] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 04/20/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE SWI is an advanced imaging modality that is especially useful in cerebral microhemorrhage detection. Such microhemorrhages have been identified in adult contact sport athletes, and the sequelae of these focal bleeds are thought to contribute to neurodegeneration. The purpose of this study was to utilize SWI to determine whether the prevalence and incidence of microhemorrhages in adolescent football players are significantly greater than those of adolescent noncontact athletes. MATERIALS AND METHODS Preseason and postseason SWI was performed and evaluated on 78 adolescent football players. SWI was also performed on 27 adolescent athletes who reported no contact sport history. Two separate one-tailed Fisher exact tests were performed to determine whether the prevalence and incidence of microhemorrhages in adolescent football players are greater than those of noncontact athlete controls. RESULTS Microhemorrhages were observed in 12 football players. No microhemorrhages were observed in any controls. Adolescent football players demonstrated a significantly greater prevalence of microhemorrhages than adolescent noncontact controls (P = .02). Although 2 football players developed new microhemorrhages during the season, microhemorrhage incidence during 1 football season was not statistically greater in the football population than in noncontact control athletes (P = .55). CONCLUSIONS Adolescent football players have a greater prevalence of microhemorrhages compared with adolescent athletes who have never engaged in contact sports. While microhemorrhage incidence during 1 season is not significantly greater in adolescent football players compared to adolescent controls, there is a temporal association between playing football and the appearance of new microhemorrhages.
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Affiliation(s)
- B R Shah
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - J M Holcomb
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - E M Davenport
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - C M Lack
- Departments of Radiology (C.M.L., C.T.W.)
| | - J M McDaniel
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - D M Imphean
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - Y Xi
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - J E Urban
- Biomedical Engineering (J.E.U., J.D.S.)
| | - B C Wagner
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - A K Powers
- Neurosurgery (A.K.P.), Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | | | - J A Maldjian
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
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Pritchard NS, E. Urban J, Miller LE, Lintner L, Stitzel JD. AN ANALYSIS OF HEAD KINEMATICS IN WOMEN'S ARTISTIC GYMNASTICS. SGJ 2020. [DOI: 10.52165/sgj.12.3.229-242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Concussions in gymnastics have scarcely been researched; however, current evidence suggests that concussion rates may be higher than previously reported due to underreporting among coaches, athletes, and parents. The purpose of this study was to outline a method for collecting head impact data in gymnastics, and to provide the first measurements of head impact exposure within gymnastics. Three optional level women’s artistic gymnasts (ages 11-16) were instrumented with a mouthpiece sensor that measured linear acceleration, rotational velocity, and rotational acceleration of the head during contact and aerial phases of skills performed during practice. Peak linear acceleration, peak rotational velocity, peak rotational acceleration, duration, and time to peak linearacceleration were calculated from sensor data. Kinematic data was time-synchronized to video and then sensor data was segmented into contact scenarios and skills characterized by the event rotation, apparatus, landing mat type, skill type, skill phase, landing stability, and body region contacted. The instrumented gymnasts were exposed to 1,394 contact scenarios (41 per gymnast per session), of which 114 (3.9 per gymnast per session) contained head contact. Peak kinematics varied across skill type, apparatuses, and landing mats. The median duration of impacts with head contact (177 ms) was longer than measured impacts in youth and collegiate level soccer. Results from this study help provide a foundation for future research that may seek to examine head impact exposure within gymnastics to better inform concussion prevention and post-concussion return to play protocols within the sport.
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Kelley ME, Jones DA, Espeland MA, Rosenberg ML, Miles CM, Whitlow CT, Maldjian JA, Stitzel JD, Urban JE. Physical Performance Measures Correlate with Head Impact Exposure in Youth Football. Med Sci Sports Exerc 2020; 52:449-456. [PMID: 31469712 DOI: 10.1249/mss.0000000000002144] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE Head impact exposure (HIE) (i.e., magnitude and frequency of impacts) can vary considerably among individuals within a single football team. To better understand individual-specific factors that may explain variation in head impact biomechanics, this study aimed to evaluate the relationship between physical performance measures and HIE metrics in youth football players. METHODS Head impact data were collected from youth football players using the Head Impact Telemetry System. Head impact exposure was quantified in terms of impact frequency, linear and rotational head acceleration, and risk-weighted cumulative exposure metrics (RWELinear, RWERotational, and RWECP). Study participants completed four physical performance tests: vertical jump, shuttle run, three-cone, and 40-yard sprint. The relationships between performance measures, and HIE metrics were evaluated using linear regression analyses. RESULTS A total of 51 youth football athletes (ages, 9-13 yr) completed performance testing and received combined 13,770 head impacts measured with the Head Impact Telemetry System for a full season. All performance measures were significantly correlated with total number of impacts in a season, RWELinear-Season, and all RWE-Game metrics. The strongest relationships were between 40-yard sprint speed and all RWE-Game metrics (all P ≤ 0.0001 and partial R > 0.3). The only significant relationships among HIE metrics in practice were between shuttle run speed and total practice impacts and RWELinear-Practices, 40 yard sprint speed and total number of practice impacts, and three-cone speed and 95th percentile number of impacts/practice. CONCLUSIONS Generally, higher vertical jump height and faster times in speed and agility drills were associated with higher HIE, especially in games. Physical performance explained less variation in HIE in practices, where drills and other factors, such as coaching style, may have a larger influence on HIE.
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Affiliation(s)
| | | | - Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Meagan L Rosenberg
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC
| | - Christopher M Miles
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Christopher T Whitlow
- Department of Radiology (Neuroradiology), Wake Forest School of Medicine, Winston-Salem, NC
| | - Joseph A Maldjian
- Department of Radiology, University of Texas Southwestern, Dallas, TX
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Miller LE, Urban JE, Whelan VM, Baxter WW, Tatter SB, Stitzel JD. An envelope of linear and rotational head motion during everyday activities. Biomech Model Mechanobiol 2020; 19:1003-1014. [PMID: 31786677 PMCID: PMC7210075 DOI: 10.1007/s10237-019-01267-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 11/16/2019] [Indexed: 10/25/2022]
Abstract
Various studies have characterized head kinematics in specific everyday activities by looking at linear and/or rotational acceleration characteristics, but each has evaluated a limited number of activities. Furthermore, these studies often present dissimilar and sometimes incomplete descriptions of the resulting kinematics, so the characteristics of normal everyday activities as a whole are not easily collectively summarized. The purpose of this study was to evaluate the literature investigating head kinematics associated with everyday activities and to generate a comprehensive kinematic boundary envelope describing these motions. The envelope constructed constitutes the current state of published knowledge regarding 'normally occurring' head accelerations. The envelope of kinematics represents activities commonly encountered and posing zero to minimal risk of injury to healthy individuals. Several kinematic measures, including linear accelerations, rotational velocities, and rotational accelerations, one may encounter as a result of normal everyday activities are summarized. A total of 11 studies encompassing 49 unique activities were evaluated. Examples of activities include sitting in a chair, jumping off a step, running, and walking. The peak resultant linear accelerations of the head reported in the literature were all less than 15 g, while the peak resultant rotational accelerations and rotational velocities approach 1375 rad/s2 and 12.8 rad/s, respectively. The resulting design envelope can be used to understand the range of acceleration magnitudes a typical active person can expect to experience. The results are also useful to compare to other activities exposing the head to motion or impact including sports, military, automotive, aerospace and other sub-injurious and injurious events.
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Affiliation(s)
- Logan E Miller
- Wake Forest University School of Medicine, 575 N. Patterson Ave., Suite 120, Winston-Salem, NC, USA.
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA.
| | - Jillian E Urban
- Wake Forest University School of Medicine, 575 N. Patterson Ave., Suite 120, Winston-Salem, NC, USA
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
| | | | | | - Stephen B Tatter
- Wake Forest University School of Medicine, 575 N. Patterson Ave., Suite 120, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Wake Forest University School of Medicine, 575 N. Patterson Ave., Suite 120, Winston-Salem, NC, USA
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA
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Patalak JP, Harper MG, Weaver AA, Dalzell NM, Stitzel JD. Estimated crash injury risk and crash characteristics for motorsport drivers. Accid Anal Prev 2020; 136:105397. [PMID: 31931408 DOI: 10.1016/j.aap.2019.105397] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/11/2019] [Accepted: 12/05/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE Motorsport crash events are complex and driver restraint systems are unique to the motorsport environment. The National Association for Stock Car Auto Racing, Incorporated (NASCAR®) crash and medical datasets provide an opportunity to assess crash statistics and the relationship between crash characteristics and driver injury. Injury risk curves can estimate driver injury risk and can be developed using vehicle incident data recorder information as inputs. These relationships may provide guidance and insight for at-track emergency response, driver triage and treatment protocols. METHOD Eight race seasons of crash and medical record data (including Association for the Advancement of Automotive Medicine Abbreviated Injury Scale (AIS) scores) from the Monster Energy NASCAR Cup Series & NASCAR Xfinity Series were processed and analyzed. Multiple logistic regression modeling was used to produce injury risk curves from longitudinal and lateral resultant change in velocity, resultant peak acceleration, principal direction of force and the number of impacts per incident. RESULTS 2065 Unique IDR data files were matched with 246 cases of driver injury or sub-injury (severity below AIS 1) and 1819 no-injury cases. Multiple logistic regression modeling showed increasing resultant change in velocity, resultant peak acceleration and the number of impacts during a crash event all increase estimated driver injury risk. After accounting for the other predictors in the model, right lateral impacts were found to have a lower estimated injury risk. The model produced an Area Under the Receiver Operating Characteristics curve of 0.80. Across the eight race seasons in this study the overall average resultant change in velocity was 34.4 kph (21.4 mph) and the average resultant peak acceleration was 19.0 G for an average of 258 crashes per season. For 2011 through 2015, full time drivers experienced 134 times more crashes per mile traveled than passenger vehicles, but experienced 9.3 times fewer injuries per crash. CONCLUSION Multiple logistic regression was used to estimate AIS 1+ injury only and AIS 1+ with sub-injury risk for motorsport drivers using motorsport-specific crash and medical record databases. The injury risk estimate models can provide future guidance and insight for at-track emergency medical response dispatch immediately following an on-track crash. These models may also inform future driver triage protocols and influence future expenditures on motorsports safety research.
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Affiliation(s)
- John P Patalak
- Wake Forest University School of Medicine, Winston-Salem, NC, United States; Virginia Tech, Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, United States; National Association for Stock Car Auto Racing, Incorporated, Daytona Beach, FL, United States.
| | - Matthew G Harper
- National Association for Stock Car Auto Racing, Incorporated, Daytona Beach, FL, United States
| | - Ashley A Weaver
- Wake Forest University School of Medicine, Winston-Salem, NC, United States; Virginia Tech, Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, United States
| | - Nicole M Dalzell
- Department of Mathematics and Statistics, Wake Forest University, United States
| | - Joel D Stitzel
- Wake Forest University School of Medicine, Winston-Salem, NC, United States; Virginia Tech, Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, NC, United States.
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Ye X, Jones DA, Gaewsky JP, Koya B, McNamara KP, Saffarzadeh M, Putnam JB, Somers JT, Gayzik FS, Stitzel JD, Weaver AA. Lumbar Spine Response of Computational Finite Element Models in Multidirectional Spaceflight Landing Conditions. J Biomech Eng 2020; 142:1067326. [PMID: 31701120 DOI: 10.1115/1.4045401] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Indexed: 11/08/2022]
Abstract
The goals of this study are to compare the lumbar spine response variance between the hybrid III, test device for human occupant restraint (THOR), and global human body models consortium simplified 50th percentile (GHBMC M50-OS) finite element models and evaluate the sensitivity of lumbar spine injury metrics to multidirectional acceleration pulses for spaceflight landing conditions. The hybrid III, THOR, and GHBMC models were positioned in a baseline posture within a generic seat with side guards and a five-point restraint system. Thirteen boundary conditions, which were categorized as loading condition variables and environmental variables, were included in the parametric study using a Latin hypercube design of experiments. Each of the three models underwent 455 simulations for a total of 1365 simulations. The hybrid III and THOR models exhibited similar lumbar compression forces. The average lumbar compression force was 45% higher for hybrid III (2.2 ± 1.5 kN) and 51% higher for THOR (2.0 ± 1.6 kN) compared to GHBMC (1.3 ± 0.9 kN). Compared to hybrid III, THOR sustained an average 64% higher lumbar flexion moment and an average 436% higher lumbar extension moment. The GHBMC model sustained much lower bending moments compared to hybrid III and THOR. Regressions revealed that lumbar spine responses were more sensitive to loading condition variables than environmental variables across all models. This study quantified the intermodel lumbar spine response variations and sensitivity between hybrid III, THOR, and GHBMC. Results improve the understanding of lumbar spine response in spaceflight landings.
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Affiliation(s)
- Xin Ye
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Derek A Jones
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - James P Gaewsky
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Bharath Koya
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Kyle P McNamara
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Mona Saffarzadeh
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Jacob B Putnam
- NASA Langley Research Center, 1 NASA Dr., Hampton, VA 23666
| | | | - F Scott Gayzik
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Joel D Stitzel
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
| | - Ashley A Weaver
- Center for Injury Biomechanics, Wake Forest University School of Medicine, Virginia-Tech Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC 27101
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Jones DA, Gaewsky JP, Somers JT, Gayzik FS, Weaver AA, Stitzel JD. Head injury metric response in finite element ATDs and a human body model in multidirectional loading regimes. Traffic Inj Prev 2020; 20:S96-S102. [PMID: 31951749 DOI: 10.1080/15389588.2019.1707193] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 12/05/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
Objective: The objective was to quantify head injury metric sensitivity of the 50th percentile male Hybrid III, THOR, and Global Human Body Models Consortium simplified occupant (GHBMC M50-OS) to changes in loading conditions in loading regimes that may be experienced by occupants of spaceflight vehicles or highly autonomous vehicles (HAVs) with nontraditional seating configurations.Methods: A Latin hypercube (LHD) design of experiments (DOE) was employed to develop boundary conditions for 455 unique acceleration profiles. Three previously validated finite element (FE) models of the Hybrid III anthropomorphic test device (ATD), THOR ATD, and GHBMC M50-OS were positioned in an upright 90°-90°-90° seat and with a 5-point belt. Acceleration pulses were applied to each of the three occupants in the ± X, +Y, and ± Z directions, with peak resultant acceleration magnitudes ranging from 5 to 20 G and times to peak ranging from 32.5 to 120.8 ms with duration 250 ms, resulting in 1,248 simulations. Head injury metrics included peak linear head acceleration, peak rotational head acceleration, head injury criteria (HIC15), and brain injury criteria (BrIC). Injury metrics were regressed against boundary condition parameters using 2nd order multiple polynomial regression, and compared between occupants using matched pairs Wilcoxon signed rank analysis.Results: Across the 416 matched-simulations that reached normal termination with all three models, HIC15 values ranged from 1.0-396.5 (Hybrid III), 1.2-327.9 (THOR), and 0.6-585.6 (GHBMC). BrIC ranged from 0.03-0.95 (Hybrid III), 0.03-1.21 (THOR), and 0.04-0.84 (GHBMC). Wilcoxon signed rank analysis demonstrated significant pairwise differences between each of the three occupant models for head injury metrics. For HIC15, the largest divergence between GHBMC and the ATDs was observed in simulations with components of combined underbody and rear impact loading. The three models performed most similarly with respect to BrIC output when loaded in a frontal direction. Both the GHBMC and the Hybrid III produced lower values of BrIC than the THOR on average, with the differences most pronounced in rear impact loading.Conclusion: In conclusion, observed differences between the occupant models' head injury metric output were quantified. Loading direction had a large effect on metric outcome and metric comparability across models, with frontal and rear impacts with low vertical acceleration tending to be the most similar. One explanation for these differences could be the differences in neck stiffness between the models that allowed more rotation in the GHBMC and THOR. Care should be taken when using ATDs as human volunteer surrogates in these low energy events.
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Affiliation(s)
- Derek A Jones
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, North Carolina
| | - James P Gaewsky
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, North Carolina
| | | | - F Scott Gayzik
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, North Carolina
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, North Carolina
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, North Carolina
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Weaver AA, Costa C, Ambrosini A, Tan J, Maez L, Ye X, Stitzel JD, Lenchik L. Sarcopenia and osteosarcopenia in seriously injured motor vehicle crash occupants. Traffic Inj Prev 2019; 20:S195-S197. [PMID: 31674830 PMCID: PMC7035189 DOI: 10.1080/15389588.2019.1659620] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: The objective of this study was to examine the prevalence of sarcopenia (low muscle mass) and osteosarcopenia (low bone density and muscle mass) in older motor vehicle crash (MVC) occupants and the relationship of these musculoskeletal conditions with age, sex, and injury.Methods: Sarcopenia and osteopenia was assessed from abdominal computed tomography (CT) scans of 61 seriously injured MVC occupants over age 50 in the Crash Injury Research and Engineering Network (CIREN) database.Results: The prevalence was 43% for sarcopenia, 25% for osteopenia, and 15% for osteosarcopenia in the CIREN occupants. The Injury Severity Score (ISS) was higher in those with only sarcopenia (mean ± SE = 22.4 ± 2.3), followed by those with osteosarcopenia (17.9 ± 2.4) and only osteopenia (12.8 ± 1.5). More total fractures were observed in occupants with sarcopenia alone (7.6 ± 1.5) or osteosarcopenia (7.0 ± 2.1) compared to nonsarcopenic occupants with osteopenia (4.0 ± 2.5).Conclusions: Sarcopenia and osteosarcopenia may be associated with more serious injuries and fractures in MVCs.
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Affiliation(s)
- Ashley A Weaver
- Virginia Tech-Wake Forest University, School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Casey Costa
- Virginia Tech-Wake Forest University, School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Alexander Ambrosini
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Josh Tan
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lisa Maez
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Xin Ye
- Virginia Tech-Wake Forest University, School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joel D Stitzel
- Virginia Tech-Wake Forest University, School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Gaffley M, Weaver AA, Talton JW, Barnard RT, Stitzel JD, Zonfrillo MR. Age-based differences in the disability of extremity injuries in pediatric and adult occupants. Traffic Inj Prev 2019; 20:S63-S68. [PMID: 31560215 PMCID: PMC7035195 DOI: 10.1080/15389588.2019.1658873] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 08/13/2019] [Accepted: 08/17/2019] [Indexed: 06/10/2023]
Abstract
Objective: The objective was to develop a disability-based metric for motor vehicle crash (MVC) upper and lower extremity injuries and compare functional outcomes between children and adults.Methods: Disability risk (DR) was quantified using Functional Independence Measure (FIM) scores within the National Trauma Data Bank-Research Data System for the top 95% most frequently occurring Abbreviated Injury Scale (AIS) 3 extremity injuries (22 unique injuries). Pediatric (7-18 years), young adult (19-45 years), middle-aged (46-65 years), and older adult (66+ years) MVC occupants with an FIM score and at least one of the 22 extremity injuries were included. DR was calculated for each injury as the proportion of occupants who were disabled of those sustaining the injury. A maximum AIS-adjusted disability risk (DRMAIS) was also calculated for each injury, excluding occupants with AIS 4+ co-injuries.Results: Locomotion impairment was the most frequent disability type across all ages. DR and DRMAIS of the extremity injuries ranged from 0.06 to 1.00 (6%-100% disability risk). Disability risk increased with age, with DRMAIS increasing from 25.9% ± 8.6% (mean ± SD) in pediatric subjects to 30.4% ± 6.3% in young adults, 39.5% ± 6.6% in middle-aged adults, and 60.5 ± 13.3% in older adults. DRMAIS for upper extremity fractures differed significantly between age groups, with higher disability in older adults, followed by middle-aged adults. DRMAIS for pelvis, hip, shaft, knee, and other lower extremity fractures differed significantly between age groups, with older adult DRMAIS being significantly higher for each fracture type. DRMAIS for hip and lower extremity shaft fractures was also significantly higher in middle-aged occupants compared to pediatric and young adult occupants. The maximum AIS-adjusted mortality risk (MRMAIS, proportion of fatalities among occupants sustaining an MAIS 3 injury) was not correlated with DRMAIS for extremity injuries in pediatric, young adult, middle-aged, and older adult occupants (all R2 < 0.01). Disability associated with each extremity injury was higher than mortality risk.Conclusions: Older adults had significantly greater disability for MVC extremity injuries. Lower disability rates in children may stem from their increased physiological capacity for bone healing and relative lack of bone disease. The disability metrics developed can supplement AIS and other severity-based metrics by accounting for the age-specific functional implications of MVC extremity injuries.
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Affiliation(s)
- Michaela Gaffley
- General Surgery, Wake Forest School of Medicine, Winston–Salem, North Carolina
| | - Ashley A. Weaver
- School of Biomedical Engineering and Sciences, Virginia Tech–Wake Forest University, Winston–Salem, North Carolina
| | - Jennifer W. Talton
- Wake Forest School of Medicine, Division of Public Health Sciences, Winston–Salem, North Carolina
| | - Ryan T. Barnard
- Wake Forest School of Medicine, Division of Public Health Sciences, Winston–Salem, North Carolina
| | - Joel D. Stitzel
- School of Biomedical Engineering and Sciences, Virginia Tech–Wake Forest University, Winston–Salem, North Carolina
| | - Mark R. Zonfrillo
- Department of Emergency Medicine, Alpert Medical School of Brown University and Hasbro Children’s Hospital, Providence, Rhode Island
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Patalak JP, Harper MG, Stitzel JD. Implications of head and neck restraint test repeatability for specification improvement. Traffic Inj Prev 2019; 20:588-594. [PMID: 31329480 DOI: 10.1080/15389588.2019.1633467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 06/13/2019] [Accepted: 06/13/2019] [Indexed: 06/10/2023]
Abstract
Objective: Since 2005, National Association for Stock Car Auto Racing, Incorporated (NASCAR) drivers have been required to use a head and neck restraint system (HNR) that complies with SFI Foundation, Inc. (SFI) 38.1. The primary purpose of the HNR is to control and limit injurious neck loads and head kinematics during frontal and frontal oblique impacts. The SFI 38.1 performance specification was implemented to establish a uniform test procedure and minimum standard for the evaluation of HNRs using dynamic sled testing. The purpose of this study was to evaluate the repeatability of the current SFI 38.1 test setup and explore the effects of a polyester seat belt restraint system. Method: Eight sled tests were conducted using the SFI 38.1 sled test protocol with additional test setup constraints. Four 0° frontal tests and 4 30° right frontal (RF) oblique tests were conducted. The first 3 tests of each principal direction of force (PDOF) used nylon SFI 16.1 seat belt restraint assemblies. The fourth test of each PDOF used polyester SFI 16.6 seat belt restraint assemblies. A secondary data set (Lab B Data) was also supplied by the HNR manufacturer for further comparisons. The International Organization for Standardization (ISO) 18571 objective comparison method was used to quantify the repeatability of the anthropomorphic test device (ATD) resultant head, chest, and pelvis acceleration and upper neck axial force and flexion extension bending moment time histories across multiple tests. Results: Two data sets generated using the SFI 38.1 test protocol exhibited large variations in mean ISO scores of ATD channels. The 8 tests conducted with additional setup constraints had significantly lower mean ISO score coefficients of variation (CVs). The Lab B tests conducted within the current specification but without the additional test setup constraints had larger mean ISO score standard deviation and CV for all comparisons. Specifically, tests with the additional setup constraints had average CVs of 3.3 and 2.9% for the 0° and 30° RF orientations, respectively. Lab B tests had average CVs of 22.9 and 24.5%, respectively. Polyester seat belt comparisons had CVs of 5.3 and 6.2% for the 0° and 30° RF orientations, respectively. Conclusion: With the addition of common test setup constraints, which do not violate the specification, the SFI 38.1 test protocol produced a repeatable test process for determining performance capabilities of HNRs within a single sled lab. A limited study using polyester webbing seat belt assemblies versus the nylon material called for in SFI 38.1 indicates that the material likely has less effects on ATD upper neck axial force and flexion extension bending moment time histories than the test setup freedom currently available within the specification. The additional test setup constraints are discussed and were shown to improve ATD response repeatability for a given HNR.
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Affiliation(s)
- John P Patalak
- a Wake Forest University School of Medicine , Winston-Salem , North Carolina
- b Virginia Tech, Wake Forest University School of Biomedical Engineering and Sciences , Winston-Salem , North Carolina
- c National Association for Stock Car Auto Racing, Incorporated , Daytona Beach , Florida
| | - Matthew G Harper
- c National Association for Stock Car Auto Racing, Incorporated , Daytona Beach , Florida
| | - Joel D Stitzel
- a Wake Forest University School of Medicine , Winston-Salem , North Carolina
- b Virginia Tech, Wake Forest University School of Biomedical Engineering and Sciences , Winston-Salem , North Carolina
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Hostetler ZS, Stitzel JD, Weaver AA. Comparing rib cortical thickness measurements from computed tomography (CT) and Micro-CT. Comput Biol Med 2019; 111:103330. [PMID: 31276944 DOI: 10.1016/j.compbiomed.2019.103330] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 06/13/2019] [Accepted: 06/13/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND The objective of this study was to compare cortical thickness of rib specimens scanned with clinical computed tomography (clinical-CT) at 0.5 and 1.0 mm slice thickness versus micro-CT at 0.05 mm slice thickness. Cortical thickness variation and accuracy was explored by anatomical region (anterior vs. lateral) and cross-sectional quadrants (superior, interior, inferior, and exterior). METHODS A validated cortical thickness algorithm was applied to clinical-CT and micro-CT scans of 17 rib specimens from six male post mortem human subjects aged 42-81 years. Each rib specimen was segmented and the thickness measurements were partitioned into cross-sectional quadrants in the anterior and lateral regions of the rib. Within each rib quadrant, the following were calculated: average thickness ± standard deviation, mean thickness difference between clinical-CT and micro-CT, and a thickness ratio between clinical-CT and micro-CT. Correlations from linear regression and paired-t tests were determined for paired clinical-CT and micro-CT results. RESULTS On average, the 0.5 mm clinical-CT underestimated the micro-CT thickness by 0.005 mm, while the 1.0 mm clinical-CT overestimated the micro-CT thickness by 0.149 mm. Thickness derived from 0.5 mm clinical-CT showed greater significant linear correlations (p < 0.05) with micro-CT thickness compared to 1.0 mm clinical-CT. CONCLUSIONS The small mean differences and thickness ratios near 1 show validation for the cortical thickness algorithm when applied to rib clinical-CT scans. Using clinical-CT scans as way to accurately measure rib cortical thickness offers a non-invasive way to analyze millions of CT scans collected each year from males and females of all ages.
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Affiliation(s)
- Zachary S Hostetler
- Wake Forest University School of Medicine, Biomedical Engineering, 575 N. Patterson Ave., Winston-Salem, NC, 27101, USA.
| | - Joel D Stitzel
- Wake Forest University School of Medicine, Biomedical Engineering, 575 N. Patterson Ave., Winston-Salem, NC, 27101, USA.
| | - Ashley A Weaver
- Wake Forest University School of Medicine, Biomedical Engineering, 575 N. Patterson Ave., Winston-Salem, NC, 27101, USA.
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Urban JE, Flood WC, Zimmerman BJ, Kelley ME, Espeland MA, McNamara L, Davenport EM, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD. Evaluation of head impact exposure measured from youth football game plays. J Neurosurg Pediatr 2019; 24:190-199. [PMID: 31075762 PMCID: PMC10958456 DOI: 10.3171/2019.2.peds18558] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/19/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVE There is a growing body of literature informing efforts to improve the safety of football; however, research relating on-field activity to head impacts in youth football is limited. Therefore, the objective of this study was to compare head impact exposure (HIE) measured in game plays among 3 youth football teams. METHODS Head impact and video data were collected from athletes (ages 10-13 years) participating on 3 youth football teams. Video analysis was performed to verify head impacts and assign each to a specific play type. Each play was categorized as a down, punt, kickoff, field goal, or false start. Kickoffs and punts were classified as special teams. Downs were classified as running, passing, or other. HIE was quantified by play type in terms of mean, median, and 95th percentile linear and rotational acceleration. Mixed-effects models were used to assess differences in acceleration among play types. Contact occurring on special teams plays was evaluated using a standardized video abstraction form. RESULTS A total of 3003 head impacts over 27.5 games were analyzed and paired with detailed video coding of plays. Most head impacts were attributed to running (79.6%), followed by passing (14.0%), and special teams (6.4%) plays. The 95th percentile linear acceleration measured during each play type was 52.6g, 50.7g, and 65.5g, respectively. Special teams had significantly greater mean linear acceleration than running and passing plays (both p = 0.03). The most common kick result on special teams was a deep kick, of which 85% were attempted to be returned. No special teams plays resulted in a touchback, and one resulted in a fair catch. One-third of all special teams plays and 92% of all nonreturned kicks resulted in athletes diving toward the ball. CONCLUSIONS The results demonstrate a trend toward higher head impact magnitudes on special teams than for running and passing plays, but a greater number of impacts were measured during running plays. Deep kicks were most common on special teams, and many returned and nonreturned kicks resulted in athletes diving toward the ball. These results support policy changes to youth special teams plays, including modifying the yard line the ball is kicked from and coaching proper return technique. Further investigation into biomechanical exposure measured during game impact scenarios is needed to inform policy relevant to the youth level.
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Affiliation(s)
- Jillian E. Urban
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem
- Department of Biomedical Engineering, Winston-Salem, North Carolina
| | - William C. Flood
- Department of Radiology (Neuroradiology), Winston-Salem, North Carolina
| | | | - Mireille E. Kelley
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem
- Department of Biomedical Engineering, Winston-Salem, North Carolina
| | - Mark A. Espeland
- Department of Biostatistical Sciences, Winston-Salem, North Carolina
| | - Liam McNamara
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem
- Department of Biomedical Engineering, Winston-Salem, North Carolina
| | | | | | - Christopher T. Whitlow
- Department of Radiology (Neuroradiology), Winston-Salem, North Carolina
- Department of Clinical and Translational Sciences Institute, Winston-Salem, North Carolina
| | - Joseph A. Maldjian
- Department of Radiology, University of Texas Southwestern, Dallas, Texas
| | - Joel D. Stitzel
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem
- Department of Biomedical Engineering, Winston-Salem, North Carolina
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45
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Schoell SL, Beavers KM, Beavers DP, Lenchik L, Marsh AP, Rejeski WJ, Stitzel JD, Weaver AA. Prediction of lumbar vertebral body compressive strength of overweight and obese older adults using morphed subject-specific finite-element models to evaluate the effects of weight loss. Aging Clin Exp Res 2019; 31:491-501. [PMID: 30043314 DOI: 10.1007/s40520-018-1010-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 07/13/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Diet and exercise can promote weight loss in older adults; however, there is potential to increase fracture risk due to loss of bone mineral density (BMD) known to accompany weight loss. Weight loss effects on measures of bone quality and strength are currently unknown. AIMS The purpose of this study is to develop subject-specific finite-element (FE) models of the lumbar spine and study the effect of intentional weight loss on bone strength in a pilot data set. METHODS Computed tomography (CT) scans of the lumbar spine of 30 overweight and obese (mean BMI = 29.7 ± 3.9 kg/m2), older adults (mean age = 65.9 ± 4.6 years) undergoing an 18-month intentional weight loss intervention were obtained at baseline and post-intervention. Measures of volumetric BMD (vBMD) and variable cortical thickness were derived from each subject CT scan. Development of the subject-specific FE models of the lumbar spine involved model morphing techniques to accelerate the development of the models. vBMD-derived material properties and cortical thickness measures were directly mapped to baseline and post-intervention models. Bone strength was estimated through simulation of a quasi-static uniaxial compression test. RESULTS From baseline to 18-month post-weight loss intervention, there were statistically significant decreases in estimated bone strength (6.5% decrease; p < 0.05). Adjusting for baseline bone measures and gender revealed no statistically significant correlations between weight change and change in vBMD, cortical thickness, or bone strength. CONCLUSION Integration of CT-based measures and FE models with conventional areal BMD can improve the understanding of the effects of intentional weight loss on bone health.
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Affiliation(s)
- Samantha L Schoell
- Department of Biomedical Engineering, Medical Center Blvd, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kristen M Beavers
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Daniel P Beavers
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Leon Lenchik
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anthony P Marsh
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - W Jack Rejeski
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Medical Center Blvd, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Ashley A Weaver
- Department of Biomedical Engineering, Medical Center Blvd, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
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46
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Miller LE, Pinkerton EK, Fabian KC, Wu LC, Espeland MA, Lamond LC, Miles CM, Camarillo DB, Stitzel JD, Urban JE. Characterizing head impact exposure in youth female soccer with a custom-instrumented mouthpiece. Res Sports Med 2019; 28:55-71. [DOI: 10.1080/15438627.2019.1590833] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Logan E. Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston Salem, NC, USA
| | - Elizabeth K. Pinkerton
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Katie C. Fabian
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lyndia C. Wu
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Mark A. Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lindsey C. Lamond
- Department of Family and Community Medicine, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Christopher M. Miles
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Joel D. Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston Salem, NC, USA
| | - Jillian E. Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston Salem, NC, USA
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47
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Miller LE, Urban JE, Kelley ME, Powers AK, Whitlow CT, Maldjian JA, Rowson S, Stitzel JD. Evaluation of Brain Response during Head Impact in Youth Athletes Using an Anatomically Accurate Finite Element Model. J Neurotrauma 2019; 36:1561-1570. [PMID: 30489208 DOI: 10.1089/neu.2018.6037] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
During normal participation in football, players are exposed to repetitive subconcussive head impacts, or impacts that do not result in signs and symptoms of concussion. To better understand the effects of repetitive subconcussive impacts, the biomechanics of on-field head impacts and resulting brain deformation need to be well characterized. The current study evaluates local brain response to typical youth football head impacts using the atlas-based brain model (ABM), an anatomically accurate brain finite element (FE) model. Head impact kinematic data were collected from three local youth football teams using the Head Impact Telemetry (HIT) System. The azimuth and elevation angles were used to identify impacts near six locations of interest, and low, moderate, and high acceleration magnitudes (5th, 50th, and 95th percentiles, respectively) were calculated from the grouped impacts for FE simulation. Strain response in the brain was evaluated by examining the range and peak maximum principal strain (MPS) values in each element. A total of 40,538 impacts from 119 individual athletes were analyzed. Impacts to the facemask resulted in 0.18 MPS for the high magnitude impact category. This was 1.5 times greater than the oblique impact location, which resulted in the lowest strain value of 0.12 for high magnitude impacts. Overall, higher strains resulted from a 95th percentile lateral impact (41.0g, 2556 rad/sec2) with two predominant axes of rotation than from a 95th percentile frontal impact (67.6g, 2641 rad/sec2) with a single predominant axis of rotation. These findings highlight the importance of accounting for directional dependence and relative contribution of axes of rotation when evaluating head impact response.
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Affiliation(s)
- Logan E Miller
- 1 Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jillian E Urban
- 1 Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Mireille E Kelley
- 1 Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Alexander K Powers
- 1 Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christopher T Whitlow
- 1 Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joseph A Maldjian
- 2 Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Steven Rowson
- 3 Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia
| | - Joel D Stitzel
- 1 Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
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48
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Kelley ME, Espeland MA, Flood WC, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD, Urban JE. Comparison of head impact exposure in practice drills among multiple youth football teams. J Neurosurg Pediatr 2018; 23:381-389. [PMID: 30579266 DOI: 10.3171/2018.9.peds18314] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 09/26/2018] [Indexed: 11/06/2022]
Abstract
Objective Limiting contact in football practice can reduce the number of head impacts a player receives, but further research is needed to inform the modification of optimal drills that mitigate head impact exposure (HIE) while the player develops the skills needed to safely play the game. This study aimed to compare HIE in practice drills among 6 youth football teams and to evaluate the effect of a team on HIE. Methods On-field head impact data were collected from athletes (ages 10–13 years) playing on 6 local youth football teams (teams A–F) during all practices using the Head Impact Telemetry System. Video was recorded and analyzed to verify and assign impacts to a specific drill. Drills were identified as follows: dummy/sled tackling, half install, install, install walk through, multiplayer tackle, Oklahoma, one-on-one, open field tackling, other, passing, position skill work, scrimmage, special teams, tackling drill stations, and technique. HIE was quantified in terms of impacts per player per minute (ppm) and peak linear and rotational head acceleration. Generalized linear models were used to assess differences in head impact magnitude and frequency among drills as well as among teams within the most common drills. Results Among 67 athlete-seasons, a total of 14,718 impacts during contact practices were collected and evaluated in this study. Among all 6 teams, the mean linear (p < 0.0001) and rotational (p < 0.0001) acceleration varied significantly among all drills. Open field tackling had significantly (p < 0.001) higher mean linear acceleration than all other drills. Multiplayer tackle had the highest mean impact rate (0.35 ppm). Significant variations in linear acceleration and impact rate were observed among teams within specific drills. Team A had the highest mean linear acceleration in install, one-on-one, and open field tackling and the highest mean impact rate in Oklahoma and position skill work. Although team A spent the greatest proportion of their practice on minimal- or no-player versus player contact drills (27%) compared to other teams, they had the highest median (20.2g) and 95th percentile (56.4g) linear acceleration in practice. Conclusions Full-speed tackling and blocking drills resulted in the highest HIE. Reducing time spent on contact drills relative to minimal or no contact drills may not lower overall HIE. Instead, interventions such as reducing the speed of players engaged in contact, correcting tackling technique, and progressing to contact may reduce HIE more effectively.
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Affiliation(s)
- Mireille E Kelley
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences
- Departments of Biomedical Engineering
| | | | - William C Flood
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences
- Departments of Biomedical Engineering
| | | | - Christopher T Whitlow
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences
- Radiology (Neuroradiology); and
- Clinical and Translational Sciences Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina; and
| | - Joseph A Maldjian
- Department of Radiology, University of Texas Southwestern, Dallas, Texas
| | - Joel D Stitzel
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences
- Departments of Biomedical Engineering
| | - Jillian E Urban
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences
- Departments of Biomedical Engineering
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49
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Beavers KM, Walkup MP, Weaver AA, Lenchik L, Kritchevsky SB, Nicklas BJ, Ambrosius WT, Stitzel JD, Register TC, Shapses SA, Marsh AP, Rejeski WJ. Effect of Exercise Modality During Weight Loss on Bone Health in Older Adults With Obesity and Cardiovascular Disease or Metabolic Syndrome: A Randomized Controlled Trial. J Bone Miner Res 2018; 33:2140-2149. [PMID: 30088288 PMCID: PMC6545884 DOI: 10.1002/jbmr.3555] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/21/2018] [Accepted: 07/07/2018] [Indexed: 01/08/2023]
Abstract
The objective of this study was to determine the ability of either aerobic or resistance training to counter weight-loss-associated bone loss in older adults. There were 187 older adults (67 years, 70% women, 64% white) with obesity (BMI = 34.5 ± 3.7 kg/m2 ) and cardiovascular disease and/or metabolic syndrome who were randomized to participate in an 18-month, community-based trial, with a follow-up assessment at 30 months. Intervention arms included: weight loss alone (WL; 7% to 10% baseline weight), WL plus aerobic training (WL + AT), and WL plus resistance training (WL + RT), as well as DXA-acquired total hip, femoral neck, and lumbar spine areal bone mineral density (aBMD), and trabecular bone score (TBS). Biomarkers of bone turnover (procollagen type 1 N-terminal propeptide, C-terminal telopeptide of type 1 collagen) were measured at baseline, 6, 18, and 30 (aBMD and TBS only) months. CT-acquired hip and spine volumetric BMD (vBMD), cortical thickness, and bone strength were measured in a subset at baseline (n = 55) and 18 months. Total hip aBMD was reduced by 2% in all groups at 18 months, with a primary analysis showing no significant treatment effects for any DXA, biomarker, or CT outcome. After adjustment for WL and follow-up at 30 months, secondary analyses revealed that total hip [-0.018 (-0.023 to -0.012) g/cm2 versus -0.025 (-0.031 to -0.019) g/cm2 ; p = 0.05] and femoral neck [-0.01 (-0.009 to 0.008) g/cm2 versus -0.011 (-0.020 to -0.002) g/cm2 ; p = 0.06] aBMD estimates were modestly attenuated in the WL + RT group compared with the WL group. Additionally, lumbar spine aBMD was increased in the WL [0.015 (0.007 to 0.024) g/cm2 ] and the WL + RT [0.009 (0.000 to 0.017) g/cm2 ] groups compared with the WL + AT [-0.003 (-0.012 to 0.005)g/cm2 ] group; both p ≤ 0.01. Community-based exercise does not prevent bone loss during active WL in older adults; however, adding RT may help minimize long-term hip bone loss. © 2018 American Society for Bone and Mineral Research.
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Affiliation(s)
- Kristen M Beavers
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Michael P Walkup
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ashley A Weaver
- Department of Bioengineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Stephen B Kritchevsky
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Barbara J Nicklas
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Walter T Ambrosius
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Joel D Stitzel
- Department of Bioengineering, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Thomas C Register
- Department of Pathology-Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sue A Shapses
- Department of Nutrition, Rutgers University, New Brunswick, NJ, USA
| | - Anthony P Marsh
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - W Jack Rejeski
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
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50
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Jones D, Gaewsky J, Saffarzadeh M, Putnam J, Weaver A, Somers J, Stitzel JD. Multi-Direction Validation of a Finite Element 50th Percentile Male Hybrid III Anthropomorphic Test Device for Spaceflight Applications. J Biomech Eng 2018; 141:2712944. [PMID: 30383185 DOI: 10.1115/1.4041906] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Indexed: 11/08/2022]
Abstract
The use of anthropomorphic test devices (ATDs) for calculating injury risk of occupants in spaceflight scenarios is crucial for ensuring the safety of crewmembers. Finite element (FE) modeling of ATDs reduces cost and time in the design process. The objective of this study was to validate a Hybrid III ATD FE model using a multi-direction test matrix for future spaceflight configurations. 25 Hybrid III physical tests were simulated using a 50th percentile male Hybrid III FE model. The sled acceleration pulses were approximately half-sine shaped, and can be described as a combination of peak acceleration and time to reach peak (rise time). The range of peak accelerations was 10-20G, and the rise times were 30-110 ms. Test directions were frontal (-GX), rear (GX), vertical (-GZ), and lateral (-GY). Simulation responses were compared to physical tests using the CORrelation and Analysis (CORA) method. Correlations were very good to excellent and the order of best average response by direction was -GX (0.916±0.020), GZ (0.860±0.116), GX (0.829±0.112), and finally GY (0.804±0.053). Qualitative and quantitative results demonstrated the model was sufficiently validated for spaceflight configuration modeling and simulation.
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Affiliation(s)
- Derek/A Jones
- Wake Forest University School of Medicine, Virginia-Tech Wake Forest University Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 120, Winston-Salem, NC 27101
| | - James Gaewsky
- Wake Forest University School of Medicine, Virginia-Tech Wake Forest University Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 120, Winston-Salem, NC 27101
| | - Mona Saffarzadeh
- Wake Forest University School of Medicine, Virginia-Tech Wake Forest University Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 120, Winston-Salem, NC 27101
| | | | - Ashley Weaver
- Wake Forest University School of Medicine, Virginia-Tech Wake Forest University Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 120, Winston-Salem, NC 27101
| | | | - Joel D Stitzel
- Wake Forest University School of Medicine, Virginia-Tech Wake Forest University Center for Injury Biomechanics, 575 N. Patterson Ave, Suite 120, Winston-Salem, NC 27101
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