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Related Experiment Video

Updated: Dec 21, 2025

A Neuroscientific Approach to the Examination of Concussions in Student-Athletes
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Concussion History and Neuromechanical Responsiveness Asymmetry.

Gary B Wilkerson1, Dustin C Nabhan2, Ryan T Crane3

  • 1University of Tennessee-Chattanooga.

Journal of Athletic Training
|May 13, 2020
PubMed
Summary

Identifying athletes with subtle sensorimotor changes after concussion is key. A new model using whole-body movement asymmetry can predict concussion history, aiding injury prevention in athletes.

Keywords:
logistic regressionmusculoskeletal injury riskreactive agility

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Area of Science:

  • Sports Medicine
  • Neuroscience
  • Biomechanics

Background:

  • Subtle changes in sensorimotor processes can indicate risk for future injury.
  • Early identification of these changes is crucial for athletes' long-term health.
  • Previous concussion may lead to subtle sensorimotor alterations.

Purpose of the Study:

  • Develop a generalizable statistical model to identify athletes with subtle sensorimotor alterations.
  • Detect potential effects of previous concussion on sensorimotor function.
  • Aid in identifying athletes who may benefit from targeted interventions.

Main Methods:

  • Cross-sectional study involving elite athletes at an Olympic Training Center.
  • Administered upper extremity and whole-body reactive agility tests.
  • Collected data on sport-related concussion history and musculoskeletal injury.

Main Results:

  • A composite metric combining lateral asymmetry in whole-body movements and prior musculoskeletal injury showed high predictive value for concussion history (AUC = 0.845).
  • The model demonstrated good discrimination and calibration in a primary cohort.
  • Validation in a secondary cohort confirmed very good discrimination (AUC = 0.772) and calibration.

Conclusions:

  • Lateral asymmetry in whole-body reactive movements may indicate subtle brain network abnormalities.
  • These findings may explain the link between concussion history and subsequent musculoskeletal injuries.
  • The developed model can help identify athletes at risk due to sensorimotor changes.