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Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation.

Publication ,  Journal Article
Zhan, X; Li, Y; Liu, Y; Domel, AG; Alizadeh, HV; Zhou, Z; Cecchi, NJ; Raymond, SJ; Tiernan, S; Ruan, J; Barbat, S; Gevaert, O; Zeineh, MM ...
Published in: Ann Biomed Eng
October 2021

Brain tissue deformation resulting from head impacts is primarily caused by rotation and can lead to traumatic brain injury. To quantify brain injury risk based on measurements of kinematics on the head, finite element (FE) models and various brain injury criteria based on different factors of these kinematics have been developed, but the contribution of different kinematic factors has not been comprehensively analyzed across different types of head impacts in a data-driven manner. To better design brain injury criteria, the predictive power of rotational kinematics factors, which are different in (1) the derivative order (angular velocity, angular acceleration, angular jerk), (2) the direction and (3) the power (e.g., square-rooted, squared, cubic) of the angular velocity, were analyzed based on different datasets including laboratory impacts, American football, mixed martial arts (MMA), NHTSA automobile crashworthiness tests and NASCAR crash events. Ordinary least squares regressions were built from kinematics factors to the 95% maximum principal strain (MPS95), and we compared zero-order correlation coefficients, structure coefficients, commonality analysis, and dominance analysis. The angular acceleration, the magnitude and the first power factors showed the highest predictive power for the majority of impacts including laboratory impacts, American football impacts, with few exceptions (angular velocity for MMA and NASCAR impacts). The predictive power of rotational kinematics about three directions (x: posterior-to-anterior, y: left-to-right, z: superior-to-inferior) of kinematics varied with different sports and types of head impacts.

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Published In

Ann Biomed Eng

DOI

EISSN

1573-9686

Publication Date

October 2021

Volume

49

Issue

10

Start / End Page

2901 / 2913

Location

United States

Related Subject Headings

  • Wearable Electronic Devices
  • Rotation
  • Regression Analysis
  • Mouth Protectors
  • Models, Statistical
  • Martial Arts
  • Humans
  • Head
  • Football
  • Data Interpretation, Statistical
 

Citation

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Zhan, X., Li, Y., Liu, Y., Domel, A. G., Alizadeh, H. V., Zhou, Z., … Camarillo, D. B. (2021). Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. Ann Biomed Eng, 49(10), 2901–2913. https://doi.org/10.1007/s10439-021-02813-z
Zhan, Xianghao, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Zhou Zhou, Nicholas J. Cecchi, et al. “Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation.Ann Biomed Eng 49, no. 10 (October 2021): 2901–13. https://doi.org/10.1007/s10439-021-02813-z.
Zhan X, Li Y, Liu Y, Domel AG, Alizadeh HV, Zhou Z, et al. Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. Ann Biomed Eng. 2021 Oct;49(10):2901–13.
Zhan, Xianghao, et al. “Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation.Ann Biomed Eng, vol. 49, no. 10, Oct. 2021, pp. 2901–13. Pubmed, doi:10.1007/s10439-021-02813-z.
Zhan X, Li Y, Liu Y, Domel AG, Alizadeh HV, Zhou Z, Cecchi NJ, Raymond SJ, Tiernan S, Ruan J, Barbat S, Gevaert O, Zeineh MM, Grant GA, Camarillo DB. Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. Ann Biomed Eng. 2021 Oct;49(10):2901–2913.
Journal cover image

Published In

Ann Biomed Eng

DOI

EISSN

1573-9686

Publication Date

October 2021

Volume

49

Issue

10

Start / End Page

2901 / 2913

Location

United States

Related Subject Headings

  • Wearable Electronic Devices
  • Rotation
  • Regression Analysis
  • Mouth Protectors
  • Models, Statistical
  • Martial Arts
  • Humans
  • Head
  • Football
  • Data Interpretation, Statistical