Abstract
Introduction
Concussion is commonly described as a disruption of brain function usually produced by a direct or indirect impact to the head and is generated by linear and rotational acceleration. Skull resonant frequencies of around 450 Hz (the maximum mechanical impedance of brain tissue) may also play a part in concussion through the propagation of vibration into the brain.
Objectives
The overall goal of this work is to gain a better understanding of the role of transient vibration of the skull on concussions.
Methods
A natural frequency investigation was conducted to develop a simplified material map (single layer) based on a three-layer skull material model. The identified material properties were then applied to 45 skull CT scans and modal analysis was conducted to determine their natural frequencies. The relationship between different densities and Young’s Modulus versus natural frequencies were tested. Skull thickness was also analyzed, and shape analysis was conducted using principal component analysis, independent component analysis, and k-means.
Results
A direct correlation between density, Young’s Modulus, and thickness with variations in natural frequency behavior was found. No correlation was found between the shape of the skull and natural frequency.
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Data availability
The dataset used in this study, is openly available at: CQ500 http://headctstudy.qure.ai/dataset.
Abbreviations
- CT:
-
Computerized tomography
- DAI:
-
Diffuse axonal injury
- FE:
-
Finite element
- GPa:
-
Gigapascal
- ICA:
-
Independent component analysis
- ICs:
-
Independent components
- PCA:
-
Principal component analysis
- PCs:
-
Principal components
- STL:
-
Standard tessellation language
- TBI:
-
Traumatic brain injury
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Data were provided by the qure.ai CQ500 dataset.
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RDCS: conceptualization, methodology, software, writing. TRJ: project administration. VAC: review and editing.
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Dalvit Carvalho da Silva, R., Jenkyn, T.R. & Carranza, V.A. The Role of Transient Vibration and Skull Properties on Concussion: A Computational Analysis. J. Vib. Eng. Technol. 11, 1807–1819 (2023). https://doi.org/10.1007/s42417-022-00672-z
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DOI: https://doi.org/10.1007/s42417-022-00672-z