TY  - JOUR
PY  - 2022//
TI  - Influence of morphological variation on brain impact responses among youth and young adults
JO  - Journal of biomechanics
A1  - Liu, Jiacheng
A1  - Jin, Jionghua Judy
A1  - Eckner, James T.
A1  - Ji, Songbai
A1  - Hu, Jingwen
SP  - e111036
EP  - e111036
VL  - 135
IS  - 
N2  - Tissue-level brain responses to sport-related head impacts may be stronger predictors of brain injury risk than head kinematics alone. Despite the importance of accurate impact response estimation, the influence of head morphological variations has not been properly considered due to the limited sizes and shapes of existing computational head models. In this study, we developed 101 subject-specific finite element (FE) head-brain models based on CT scans and a parametric modeling approach to estimate tissue-level brain impact responses (maximal principal strain, MPS) under three head impact conditions. Principal component analysis (PCA) was used to quantify the geometric variations, with statistically significant PCs then selected to predict MPS using a stepwise linear regression model. High adjusted R(2) values (0.6-0.9) were achieved in the regression model, suggesting a good model predictability. Brain volume explained the largest variance of 51.3%, and it was highly correlated with MPS, indicating a significant size effect on brain impact responses. This is the first modeling study to systematically consider the influence of morphological variations in the inner skull and scalp on brain tissue impact response.<p />  <p>Language: en</p>
LA  - en
SN  - 0021-9290
UR  - http://dx.doi.org/10.1016/j.jbiomech.2022.111036
ID  - ref1
ER  -