Submitted:
21 March 2023
Posted:
22 March 2023
You are already at the latest version
Abstract
Keywords:
Introduction
Fundamental Concepts
Calvaria Impacts Contribute to TBI Pathology
Mild Head Impacts Alter the Calvarial Bone and Underlying Meninges
Individual Variability in Calvarial Thickness
Calvarial Thickness as a Moderator of Mild TBI?
Research Challenges, Opportunities, and Implications
Conclusions
Transparency, Rigor, and Reproducibility Statement
Author Contributions
Acknowledgements
Conflicts of Interest
References
- Levin, H.S.; Diaz-Arrastia, R.R. Diagnosis, prognosis, and clinical management of mild traumatic brain injury. Lancet Neurol. 2015, 14, 506–17. [Google Scholar] [CrossRef] [PubMed]
- CDC. Heads up to healthcare providers. Atlanta 2015 [Available from: https://www.cdc.gov/headsup/providers/index.html.
- Semple, B.D.; Lee, S.; Sadjadi, R.; et al. Repetitive concussions in adolescent athletes - translating clinical and experimental research into perspectives on rehabilitation strategies. Front Neurol. 2015, 6, 69. [Google Scholar] [CrossRef] [PubMed]
- Bolton Hall, A.N.; Joseph, B.; Brelsfoard, J.M.; et al. Repeated Closed Head Injury in Mice Results in Sustained Motor and Memory Deficits and Chronic Cellular Changes. PLoS One. 2016, 11, e0159442. [Google Scholar]
- Gold, E.M.; Vasilevko, V.; Hasselmann, J.; et al. Repeated Mild Closed Head Injuries Induce Long-Term White Matter Pathology and Neuronal Loss That Are Correlated With Behavioral Deficits. ASN neuro. 2018, 10, 1759091418781921. [Google Scholar] [CrossRef] [PubMed]
- Mao, Y.; Black, A.M.B.; Milbourn, H.R.; et al. The Effects of a Combination of Ion Channel Inhibitors in Female Rats Following Repeated Mild Traumatic Brain Injury. Int J Mol Sci. 2018, 19. [Google Scholar] [CrossRef] [PubMed]
- Yates, N.J.; Lydiard, S.; Fehily, B.; et al. Repeated mild traumatic brain injury in female rats increases lipid peroxidation in neurons. Exp Brain Res. 2017, 235, 2133–49. [Google Scholar] [CrossRef] [PubMed]
- Zemper, E.D. Two-year prospective study of relative risk of a second cerebral concussion. American journal of physical medicine & rehabilitation. 2003, 82, 653–9. [Google Scholar]
- Chan, K.H.; Mann, K.S.; Yue, C.P.; et al. The significance of skull fracture in acute traumatic intracranial hematomas in adolescents: a prospective study. J Neurosurg. 1990, 72, 189–94. [Google Scholar] [CrossRef]
- Fujiwara, G.; Okada, Y.; Ishii, W.; et al. Association of skull fracture with in-hospital mortality in severe traumatic brain injury patients. The American journal of emergency medicine. 2021, 46, 78–83. [Google Scholar] [CrossRef]
- Tseng, W.C.; Shih, H.M.; Su, Y.C.; et al. The association between skull bone fractures and outcomes in patients with severe traumatic brain injury. J Trauma. 2011, 71, 1611–4;discussion 4. [Google Scholar] [CrossRef]
- Lamy, M.; Baumgartner, D.; Willinger, R.; et al. Study of mild traumatic brain injuries using experiments and finite element modeling. Annals of advances in automotive medicine Association for the Advancement of Automotive Medicine Annual Scientific Conference. 2011;55:125-35.
- Lamy, M.; Baumgartner, D.; Yoganandan, N.; et al. Experimentally validated three-dimensional finite element model of the rat for mild traumatic brain injury. Medical & biological engineering & computing. 2013, 51, 353–65. [Google Scholar]
- Fijalkowski, R.J.; Yoganandan, N.; Zhang, J.; et al. A finite element model of region-specific response for mild diffuse brain injury. Stapp car crash journal. 2009, 53, 193–213. [Google Scholar] [PubMed]
- Finan, J.D. Biomechanical simulation of traumatic brain injury in the rat. Clinical biomechanics (Bristol, Avon). 2019, 64, 114–21. [Google Scholar] [CrossRef] [PubMed]
- Bergmann, P.; Body, J.J.; Boonen, S.; et al. Loading and skeletal development and maintenance. J Osteoporos. 2010, 2011, 786752. [Google Scholar] [CrossRef]
- Dill LK, Sims NA, A. S, et al. Localized, time-dependent responses of rat cranial bone to repeated mild traumatic brain injuries. bioRxiv (preprint) 2021. [CrossRef]
- McColl, T.J.; Brady, R.D.; Shultz, S.R.; et al. Mild Traumatic Brain Injury in Adolescent Mice Alters Skull Bone Properties to Influence a Subsequent Brain Impact at Adulthood: A Pilot Study. Front Neurol. 2018, 9, 372. [Google Scholar] [CrossRef]
- Liao, J.; Zhang, M.; Shi, Z.; et al. Improving the Function of Meningeal Lymphatic Vessels to Promote Brain Edema Absorption after Traumatic Brain Injury. J Neurotrauma. 2023, 40, 383–94. [Google Scholar] [CrossRef]
- Shimada, R.; Tatara, Y.; Kibayashi, K. Gene expression in meningeal lymphatic endothelial cells following traumatic brain injury in mice. PLoS One. 2022, 17, e0273892. [Google Scholar] [CrossRef]
- McNamara, E.H.; Knutsen, A.; Korotcov, A.; et al. Meningeal and Visual Pathway Magnetic Resonance Imaging Analysis after Single and Repetitive Closed-Head Impact Model of Engineered Rotational Acceleration (CHIMERA)-Induced Disruption in Male and Female Mice. J Neurotrauma. 2022, 39, 784–99. [Google Scholar] [CrossRef] [PubMed]
- Bolte, A.C.; Shapiro, D.A.; Dutta, A.B.; et al. The meningeal transcriptional response to traumatic brain injury and aging. eLife. 2023, 12. [Google Scholar] [CrossRef]
- Derk, J.; Jones, H.E.; Como, C.; et al. Living on the Edge of the CNS: Meninges Cell Diversity in Health and Disease. Front Cell Neurosci. 2021, 15, 703944. [Google Scholar] [CrossRef]
- Jaslow, C.R. Mechanical properties of cranial sutures. Journal of biomechanics. 1990, 23, 313–21. [Google Scholar] [CrossRef]
- Maloul, A.; Fialkov, J.; Whyne, C.M. Characterization of the bending strength of craniofacial sutures. Journal of biomechanics. 2013, 46, 912–7. [Google Scholar] [CrossRef]
- Panagiotopoulou, O.; Iriarte-Diaz, J.; Mehari Abraha, H.; et al. Biomechanics of the mandible of Macaca mulatta during the power stroke of mastication: Loading, deformation, and strain regimes and the impact of food type. Journal of human evolution. 2020, 147, 102865. [Google Scholar] [CrossRef]
- Young, L.; Rule, G.T.; Bocchieri, R.T.; et al. When physics meets biology: low and high-velocity penetration, blunt impact, and blast injuries to the brain. Front Neurol. 2015, 6, 89. [Google Scholar] [CrossRef]
- Faul, M.; Coronado, V. Epidemiology of traumatic brain injury. Handbook of clinical neurology. 2015, 127, 3–13. [Google Scholar]
- Ahmad, S.; Afzal, A.; Rehman, L.; et al. Impact of depressed skull fracture surgery on outcome of head injury patients. Pakistan journal of medical sciences. 2018, 34, 130–4. [Google Scholar] [CrossRef]
- Adams, J.H.; Doyle, D.; Ford, I.; et al. Diffuse axonal injury in head injury: definition, diagnosis and grading. Histopathology. 1989, 15, 49–59. [Google Scholar] [CrossRef] [PubMed]
- Carson, H.J. Brain trauma in head injuries presenting with and without concurrent skull fractures. Journal of forensic and legal medicine. 2009, 16, 115–20. [Google Scholar] [CrossRef] [PubMed]
- Young, L.A.; Rule, G.T.; Bocchieri, R.T.; et al. Biophysical mechanisms of traumatic brain injuries. Seminars in neurology. 2015, 35, 5–11. [Google Scholar] [PubMed]
- 33. Coronado VG, Xu L, Basavaraju SV, et al. Surveillance for traumatic brain injury-related deaths--United States, 1997-2007. Morbidity and mortality weekly report Surveillance summaries (Washington, DC : 2002). 2011;60(5):1-32.
- Wood, J.L. Dynamic response of human cranial bone. Journal of biomechanics. 1971, 4, 1–12. [Google Scholar] [CrossRef] [PubMed]
- Barbosa, A.; Fernandes, F.A.O.; Alves de Sousa, R.J.; et al. Computational Modeling of Skull Bone Structures and Simulation of Skull Fractures Using the YEAHM Head Model. Biology. 2020, 9. [Google Scholar] [CrossRef]
- De Kegel, D.; Meynen, A.; Famaey, N.; et al. Skull fracture prediction through subject-specific finite element modelling is highly sensitive to model parameters. J Mech Behav Biomed Mater. 2019, 100, 103384. [Google Scholar] [CrossRef] [PubMed]
- Zwirner, J.; Safavi, S.; Scholze, M.; et al. Topographical mapping of the mechanical characteristics of the human neurocranium considering the role of individual layers. Scientific reports. 2021, 11, 3721. [Google Scholar] [CrossRef] [PubMed]
- Kiriyama, Y.; Sato, Y.; Muramatsu, Y.; et al. Analysis of relationship between loading condition and cranial cracking pattern using a three-dimensional finite element model. BMC Musculoskeletal Disorders. 2022, 23, 310. [Google Scholar] [CrossRef] [PubMed]
- Ren, L.; Wang, D.; Liu, X.; et al. Influence of Skull Fracture on Traumatic Brain Injury Risk Induced by Blunt Impact. International journal of environmental research and public health. 2020, 17. [Google Scholar] [CrossRef]
- Fabris G, Z MS, Kurt M. Micromechanical heterogeneity of the rat pia-arachnoid complex. Acta biomaterialia. 2019, 100, 29–37. [Google Scholar] [CrossRef]
- Yavuz, M.S.; Asirdizer, M.; Cetin, G.; et al. The correlation between skull fractures and intracranial lesions due to traffic accidents. The American journal of forensic medicine and pathology. 2003, 24, 339–45. [Google Scholar] [CrossRef]
- Faried, A.; Halim, D.; Widjaya, I.A.; et al. Correlation between the skull base fracture and the incidence of intracranial hemorrhage in patients with traumatic brain injury. Chinese journal of traumatology = Zhonghua chuang shang za zhi / Chinese Medical Association. 2019, 22, 286–9. [Google Scholar] [CrossRef]
- Xu, T.; Yu, X.; Ou, S.; et al. Risk factors for posttraumatic epilepsy: A systematic review and meta-analysis. Epilepsy Behav. 2017, 67, 1–6. [Google Scholar] [CrossRef]
- Zvejniece, L.; Stelfa, G.; Vavers, E.; et al. Skull Fractures Induce Neuroinflammation and Worsen Outcomes after Closed Head Injury in Mice. J Neurotrauma. 2020, 37, 295–304. [Google Scholar] [CrossRef]
- Haffner-Luntzer, M.; Weber, B.; Morioka, K.; et al. Altered early immune response after fracture and traumatic brain injury. Front Immunol. 2023, 14, 1074207. [Google Scholar] [CrossRef]
- Shultz, S.R.; Sun, M.; Wright, D.K.; et al. Tibial fracture exacerbates traumatic brain injury outcomes and neuroinflammation in a novel mouse model of multitrauma. J Cereb Blood Flow Metab. 2015, 35, 1339–47. [Google Scholar] [CrossRef]
- Suto, Y.; Nagata, K.; Ahmed, S.M.; et al. Cerebral Edema and Neurological Recovery after Traumatic Brain Injury Are Worsened if Accompanied by a Concomitant Long Bone Fracture. J Neurotrauma. 2019, 36, 609–18. [Google Scholar] [CrossRef]
- Guskiewicz, K.M.; Mihalik, J.P. Biomechanics of sport concussion: quest for the elusive injury threshold. Exerc Sport Sci Rev. 2011, 39, 4–11. [Google Scholar] [CrossRef] [PubMed]
- Zhang, L.; Yang, K.H.; King, A.I. A proposed injury threshold for mild traumatic brain injury. Journal of biomechanical engineering. 2004, 126, 226–36. [Google Scholar] [CrossRef]
- Bartsch, A.; Dama, R.; Alberts, J.; et al. Measuring Blunt Force Head Impacts in Athletes. Military medicine. 2020, 185 (Suppl. 1), 190–6. [Google Scholar] [CrossRef] [PubMed]
- Dsouza, H.; Pastrana, J.; Figueroa, J.; et al. Flexible, self-powered sensors for estimating human head kinematics relevant to concussions. Scientific reports. 2022, 12, 8567. [Google Scholar] [CrossRef]
- Marks, M.E.; Holcomb, T.D.; Pritchard, N.S.; et al. Characterizing Exposure to Head Acceleration Events in Youth Football Using an Instrumented Mouthpiece. Annals of biomedical engineering. 2022, 50, 1620–32. [Google Scholar] [CrossRef] [PubMed]
- Lavender, A.P.; Georgieva, J.; Takechi, R. A Suggested New Term and Definition to Describe the Cumulative Physiological and Functional Effects of Non-injurious Head Impacts. Front Neurol. 2022, 13, 799884. [Google Scholar] [CrossRef]
- Bailes, J.E.; Petraglia, A.L.; Omalu, B.I.; et al. Role of subconcussion in repetitive mild traumatic brain injury. J Neurosurg. 2013, 119, 1235–45. [Google Scholar] [CrossRef]
- Daneshvar, D.; Riley, D.; Nowinski, C.; et al. Long-term consequences: effects on normal development profile after concussion. Phys Med Rehabil Clin N Am. 2011, 22, 683–700, ix. [Google Scholar] [CrossRef]
- Huber, B.R.; Alosco, M.L.; Stein, T.D.; et al. Potential Long-Term Consequences of Concussive and Subconcussive Injury. Physical medicine and rehabilitation clinics of North America. 2016, 27, 503–11. [Google Scholar] [CrossRef]
- Distriquin, Y.; Vital, J.M.; Ella, B. Biomechanical analysis of skull trauma and opportunity in neuroradiology interpretation to explain the post-concussion syndrome: literature review and case studies presentation. European radiology experimental. 2020, 4, 66. [Google Scholar] [CrossRef]
- Castillo, A.B.; Leucht, P. Bone Homeostasis and Repair: Forced Into Shape. Current rheumatology reports. 2015, 17, 58. [Google Scholar] [CrossRef]
- De Souza, R.L.; Matsuura, M.; Eckstein, F.; et al. Non-invasive axial loading of mouse tibiae increases cortical bone formation and modifies trabecular organization: a new model to study cortical and cancellous compartments in a single loaded element. Bone. 2005, 37, 810–8. [Google Scholar] [CrossRef]
- Turner, C.H.; Robling, A.G.; Duncan, R.L.; et al. Do bone cells behave like a neuronal network? Calcified tissue international. 2002, 70, 435–42. [Google Scholar] [CrossRef] [PubMed]
- Bolte, A.C.; Dutta, A.B.; Hurt, M.E.; et al. Meningeal lymphatic dysfunction exacerbates traumatic brain injury pathogenesis. Nature communications. 2020, 11, 4524. [Google Scholar] [CrossRef] [PubMed]
- Mazzitelli, J.A.; Smyth, L.C.D.; Cross, K.A.; et al. Cerebrospinal fluid regulates skull bone marrow niches via direct access through dural channels. Nat Neurosci. 2022, 25, 555–60. [Google Scholar] [CrossRef] [PubMed]
- Pulous, F.E.; Cruz-Hernández, J.C.; Yang, C.; et al. Cerebrospinal fluid can exit into the skull bone marrow and instruct cranial hematopoiesis in mice with bacterial meningitis. Nat Neurosci. 2022, 25, 567–76. [Google Scholar] [CrossRef] [PubMed]
- Ruan, J.; Prasad, P. The effects of skull thickness variations on human head dynamic impact responses. Stapp car crash journal. 2001, 45, 395–414. [Google Scholar] [PubMed]
- Rowbotham, S.K.; Mole, C.G.; Tieppo, D.; et al. Average thickness of the bones of the human neurocranium: development of reference measurements to assist with blunt force trauma interpretations. Int J Legal Med. 2023, 137, 195–213. [Google Scholar] [CrossRef] [PubMed]
- Percival, C.J.; Devine, J.; Hassan, C.R.; et al. The genetic basis of neurocranial size and shape across varied lab mouse populations. J Anat. 2022, 241, 211–29. [Google Scholar] [CrossRef] [PubMed]
- Richtsmeier, J.T.; Flaherty, K. Hand in glove: brain and skull in development and dysmorphogenesis. Acta Neuropathol. 2013, 125, 469–89. [Google Scholar] [CrossRef] [PubMed]
- Henderson, J.H.; Chang, L.Y.; Song, H.M.; et al. Age-dependent properties and quasi-static strain in the rat sagittal suture. Journal of biomechanics. 2005, 38, 2294–301. [Google Scholar] [CrossRef] [PubMed]
- Lucey, B.P.; March, G.P., Jr.; Hutchins, G.M. Marked calvarial thickening and dural changes following chronic ventricular shunting for shaken baby syndrome. Archives of pathology & laboratory medicine. 2003, 127, 94–7. [Google Scholar]
- Anderson, R.; Kieffer, S.A.; Wolfson, J.J.; et al. Thickening of the skull in surgically treated hydrocephalus. The American journal of roentgenology, radium therapy, and nuclear medicine. 1970, 110, 96–101. [Google Scholar] [CrossRef] [PubMed]
- Di Preta, J.A.; Powers, J.M.; Hicks, D.G. Hyperostosis cranii ex vacuo: a rare complication of shunting for hydrocephalus. Human pathology. 1994, 25, 545–7. [Google Scholar] [CrossRef] [PubMed]
- Villani, R.; Giani, S.M.; Giovanelli, M.; et al. Skull changes and intellectual status in hydrocephalic children following CSF shunting. Developmental medicine and child neurology Supplement. 1976(37):78-81.
- Ishii, M.; Sun, J.; Ting, M.C.; et al. The Development of the Calvarial Bones and Sutures and the Pathophysiology of Craniosynostosis. Current topics in developmental biology. 2015, 115, 131–56. [Google Scholar]
- Iping, R.; Cohen, A.M.; Abdel Alim, T.; et al. A bibliometric overview of craniosynostosis research development. European journal of medical genetics. 2021, 64, 104224. [Google Scholar] [CrossRef]
- Herring, S.W. Mechanical influences on suture development and patency. Frontiers of oral biology. 2008, 12, 41–56. [Google Scholar]
- Delye, H.; Clijmans, T.; Mommaerts, M.Y.; et al. Creating a normative database of age-specific 3D geometrical data, bone density, and bone thickness of the developing skull: a pilot study. J Neurosurg Pediatr. 2015, 16, 687–702. [Google Scholar] [CrossRef]
- Lillie, E.M.; Urban, J.E.; Lynch, S.K.; et al. Evaluation of Skull Cortical Thickness Changes With Age and Sex From Computed Tomography Scans. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2015, 31, 299–307. [Google Scholar] [CrossRef]
- Skrzat, J.; Brzegowy, P.; Walocha, J.; et al. Age dependent changes of the diploe in the human skull. Folia morphologica. 2004, 63, 67–70. [Google Scholar]
- Calisan, M.; Talu, M.F.; Pimenov, D.Y.; et al. Skull Thickness Calculation Using Thermal Analysis and Finite Elements. Applied Sciences [Internet]. 2021, 11. [Google Scholar] [CrossRef]
- Torimitsu, S.; Nishida, Y.; Takano, T.; et al. Statistical analysis of biomechanical properties of the adult skull and age-related structural changes by sex in a Japanese forensic sample. Forensic Sci Int. 2014, 234, 185–e1. [Google Scholar] [CrossRef] [PubMed]
- Urban, J.E.; Weaver, A.A.; Lillie, E.M.; et al. Evaluation of morphological changes in the adult skull with age and sex. J Anat. 2016, 229, 838–46. [Google Scholar] [CrossRef] [PubMed]
- Wei, A.; Wang, J.; Liu, J.; et al. A parametric head geometry model accounting for variation among adolescent and young adult populations. Computer methods and programs in biomedicine. 2022, 220, 106805. [Google Scholar] [CrossRef] [PubMed]
- Lynnerup, N.; Astrup, J.G.; Sejrsen, B. Thickness of the human cranial diploe in relation to age, sex and general body build. Head & face medicine. 2005, 1, 13. [Google Scholar]
- King, N.S. A systematic review of age and gender factors in prolonged post-concussion symptoms after mild head injury. Brain Inj. 2014, 28, 1639–45. [Google Scholar] [CrossRef] [PubMed]
- Pham, L.; Wright, D.K.; O'Brien, W.T.; et al. Behavioral, axonal, and proteomic alterations following repeated mild traumatic brain injury: Novel insights using a clinically relevant rat model. Neurobiol Dis. 2021, 148, 105151. [Google Scholar] [CrossRef]
- Shultz, S.R.; McDonald, S.J.; Vonder Haar, C.; et al. The potential for animal models to provide insight into mild traumatic brain injury: Translational challenges and strategies. Neurosci Biobehav Rev. 2017, 76(Pt B), 396–414. [Google Scholar] [CrossRef]
- Wu, Q.; Ma, L.; Liu, Q.; et al. Impact response and energy absorption of human skull cellular bones. J Mech Behav Biomed Mater. 2018, 81, 106–19. [Google Scholar] [CrossRef]
- Fijalkowski, R.J.; Stemper, B.D.; Pintar, F.A.; et al. New rat model for diffuse brain injury using coronal plane angular acceleration. J Neurotrauma. 2007, 24, 1387–98. [Google Scholar] [CrossRef]
- Bayly, P.V.; Alshareef, A.; Knutsen, A.K.; et al. MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury. Annals of biomedical engineering. 2021, 49, 2677–92. [Google Scholar] [CrossRef] [PubMed]
- Zhou, Z.; Li, X.; Kleiven, S. Fluid-structure interaction simulation of the brain-skull interface for acute subdural haematoma prediction. Biomech Model Mechanobiol. 2019, 18, 155–73. [Google Scholar] [CrossRef] [PubMed]
- Lu, L.; Liu, X.; Bian, K.; et al. The Effect of Three-Dimensional Whole, Major, and Small Vasculature on Mouse Brain Strain Under Both Diffuse and Focal Brain Injury Loading. Journal of biomechanical engineering. 2022, 144. [Google Scholar] [CrossRef] [PubMed]
- Walsh, D.R.; Ross, A.M.; Newport, D.T.; et al. Mechanical characterisation of the human dura mater, falx cerebri and superior sagittal sinus. Acta biomaterialia. 2021, 134, 388–400. [Google Scholar] [CrossRef] [PubMed]
- Post, A.; Oeur, A.; Hoshizaki, B.; et al. An examination of American football helmets using brain deformation metrics associated with concussion. Materials & Design. 2013, 45, 653–62. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).