TY  - JOUR
PY  - 2021//
TI  - The relationship between brain injury criteria and brain strain across different types of head impacts can be different
JO  - Journal of the Royal Society, Interface
A1  - Zhan, Xianghao
A1  - Li, Yiheng
A1  - Liu, Yuzhe
A1  - Domel, August G.
A1  - Alizadeh, Hossein Vahid
A1  - Raymond, Samuel J.
A1  - Ruan, Jesse
A1  - Barbat, Saeed
A1  - Tiernan, Stephen
A1  - Gevaert, Olivier
A1  - Zeineh, Michael M.
A1  - Grant, Gerald A.
A1  - Camarillo, David B.
SP  - 20210260
EP  - 20210260
VL  - 18
IS  - 179
N2  - Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different head impact types (e.g. sports and car crashes) are widely used in risk evaluation. However, the accuracy of using the BIC on brain injury risk estimation across head impact types has not been evaluated. Physiologically, brain strain is often considered the key parameter of brain injury. To evaluate the BIC's risk estimation accuracy across five datasets comprising different head impact types, linear regression was used to model 95% maximum principal strain, 95% maximum principal strain at the corpus callosum and cumulative strain damage (15%) on 18 BIC. The results show significantly different relationships between BIC and brain strain across datasets, indicating the same BIC value may suggest different brain strain across head impact types. The accuracy of brain strain regression is generally decreasing if the BIC regression models are fitted on a dataset with a different type of head impact rather than on the dataset with the same type. Given this finding, this study raises concerns for applying BIC to estimate the brain injury risks for head impacts different from the head impacts on which the BIC was developed.<p />  <p>Language: en</p>
LA  - en
SN  - 1742-5689
UR  - http://dx.doi.org/10.1098/rsif.2021.0260
ID  - ref1
ER  -