Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading

Abstract Computational head models are essential tools for predicting the risk of mild traumatic brain injury (mTBI). However, computational models vary in the level of anatomical details, most notably the cortical folds. This study aims to determine the effect of modeling cortical folds on mTBI risk assessment. We compared gyrencephalic (with cortical folds) and lissencephalic (without cortical folds) finite element (FE) head models of 18 subjects aged 9–18 years, subjected to a rotational head acceleration of 10 krad/s $$^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mn>2</mml:mn> </mml:mmultiscripts> </mml:math> (10 ms duration) about each principal head axis. We analyzed the effect of cortical folds on different tissue-level mTBI injury metrics, including maximum principal strain (MPS95), maximum principal strain rate (MPSR95), and cumulative strain damage measure (CSDM15). The inclusion of cortical folds consistently yielded higher injury metrics across all individuals and rotational directions, with a bias (mean ± std. dev. relative to maximum lissencephalic values) of $$21.7 \pm 9.1 \%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>21.7</mml:mn> <mml:mo>±</mml:mo> <mml:mn>9.1</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> in MPS95, $$17.1\pm 7.6\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>17.1</mml:mn> <mml:mo>±</mml:mo> <mml:mn>7.6</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> in MPSR95, and $$14.4\pm 11.3\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>14.4</mml:mn> <mml:mo>±</mml:mo> <mml:mn>11.3</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> in CSDM15. Differences in the spatial strain distribution were also found between the models, with the DICE similarity coefficient ranging between $$0.07-0.43$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>0.07</mml:mn> <mml:mo>-</mml:mo> <mml:mn>0.43</mml:mn> </mml:mrow> </mml:math> and $$0.42-0.70$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>0.42</mml:mn> <mml:mo>-</mml:mo> <mml:mn>0.70</mml:mn> </mml:mrow> </mml:math> for the peak MPS and CSDM15, respectively. Increases in peak injury metrics (up to $$\sim$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>∼</mml:mo> </mml:math> 50%) were found for brain regions such as the corpus callosum, cerebellum, and brain stem. This study finds that the inclusion of cortical folds significantly alters the pattern of deformation in the brain and results in a prediction of higher mTBI risk.

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Journal
Biomechanics and Modeling in Mechanobiology
Published
2026-06-19
DOI
https://doi.org/10.1007/s10237-026-02095-1
Citations
1
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
11.59

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article

Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading

Christian Franck, Alison S. Brooks, Traci R. Snedden, Peter A. Ferrazzano et al.
1 citations
Biomechanics and Modeling in Mechanobiology
Automotive and Human Injury Biomechanics
11.59
article

Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading

Christian Franck, Alison S. Brooks, Traci R. Snedden, Peter A. Ferrazzano, Rika Wright Carlsen
article en
1 citations

Abstract

Abstract Computational head models are essential tools for predicting the risk of mild traumatic brain injury (mTBI). However, computational models vary in the level of anatomical details, most notably the cortical folds. This study aims to determine the effect of modeling cortical folds on mTBI risk assessment. We compared gyrencephalic (with cortical folds) and lissencephalic (without cortical folds) finite element (FE) head models of 18 subjects aged 9–18 years, subjected to a rotational head acceleration of 10 krad/s $$^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mn>2</mml:mn> </mml:mmultiscripts> </mml:math> (10 ms duration) about each principal head axis. We analyzed the effect of cortical folds on different tissue-level mTBI injury metrics, including maximum principal strain (MPS95), maximum principal strain rate (MPSR95), and cumulative strain damage measure (CSDM15). The inclusion of cortical folds consistently yielded higher injury metrics across all individuals and rotational directions, with a bias (mean ± std. dev. relative to maximum lissencephalic values) of $$21.7 \pm 9.1 \%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>21.7</mml:mn> <mml:mo>±</mml:mo> <mml:mn>9.1</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> in MPS95, $$17.1\pm 7.6\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>17.1</mml:mn> <mml:mo>±</mml:mo> <mml:mn>7.6</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> in MPSR95, and $$14.4\pm 11.3\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>14.4</mml:mn> <mml:mo>±</mml:mo> <mml:mn>11.3</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> in CSDM15. Differences in the spatial strain distribution were also found between the models, with the DICE similarity coefficient ranging between $$0.07-0.43$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>0.07</mml:mn> <mml:mo>-</mml:mo> <mml:mn>0.43</mml:mn> </mml:mrow> </mml:math> and $$0.42-0.70$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>0.42</mml:mn> <mml:mo>-</mml:mo> <mml:mn>0.70</mml:mn> </mml:mrow> </mml:math> for the peak MPS and CSDM15, respectively. Increases in peak injury metrics (up to $$\sim$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>∼</mml:mo> </mml:math> 50%) were found for brain regions such as the corpus callosum, cerebellum, and brain stem. This study finds that the inclusion of cortical folds significantly alters the pattern of deformation in the brain and results in a prediction of higher mTBI risk.

Biomechanics and Modeling in MechanobiologyVol. 25(4)
University of Wisconsin–Madison (US), Robert Morris University (US), University of Colorado Anschutz Medical Campus (US)
Office of Naval Research
Openalex Percentile: Top 6%
Automotive and Human Injury Biomechanics
11.59
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