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Controlled Cortical Impact Model for Traumatic Brain Injury
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On the Development of Interspecies Traumatic Brain Injury Correspondence Rules.

Robert Saunders1, X Gary Tan1, Amit Bagchi1

  • 1Multifunctional Materials Branch, Materials Science and Technology Division, U.S. Naval Research Laboratory, 4555 Overlook Ave. SW., Washington, DC.

Military Medicine
|March 23, 2019
PubMed
Summary

Computational models of human and porcine subjects offer a cost-effective alternative to animal surrogates for traumatic brain injury research. These models reveal similarities in injury development between species but highlight differences in insult levels and the critical role of blast peak pressure.

Keywords:
TBIcorrespondencehumanporcinesimulation

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Area of Science:

  • Biomechanics
  • Computational modeling
  • Traumatic brain injury

Background:

  • Analyzing human traumatic brain injury (TBI) is challenging due to data collection limitations.
  • Animal surrogates are costly, ethically restricted, and logistically complex for TBI studies.
  • Computational models offer a constraint-free alternative for generating extensive TBI data.

Purpose of the Study:

  • To develop and validate computational models of human and porcine subjects for TBI analysis.
  • To investigate interspecies correspondence rules for blast overpressure effects on the brain.
  • To identify key factors driving TBI prediction in computational simulations.

Main Methods:

  • Creation of detailed human head and neck, and full-body porcine computational models.
  • Utilized high-resolution CT and MRI scans for anatomical accuracy.
  • Incorporated low-to-high strain rate mechanical data for tissue material properties and validated against literature experiments.

Main Results:

  • Identified similarities in TBI development patterns between porcine and human brain models.
  • Observed that these injury similarities manifest at significantly different levels of insult.
  • Determined blast peak pressure as the primary factor in TBI prediction, influencing outcomes based on the chosen injury metric.

Conclusions:

  • Computational models provide a viable and scalable approach for TBI research, overcoming limitations of traditional methods.
  • While injury patterns show interspecies correlation, quantitative differences in insult thresholds exist.
  • Blast peak pressure is a critical determinant for predicting TBI severity in computational simulations.