Introduction
Mild traumatic brain injury (TBI), including injuries termed ‘concussions’, are commonly sustained during activities such as contact sports, assaults, falls, and in military combat [
1]. In children and adolescents, mild TBI accounts for approximately 90% of all TBI cases [
2]. The high incidence of sport-related mild TBI in youth in particular, and the associated health ramifications of these injuries, are of great concern internationally [
3]. While a single mild TBI may present with relatively benign symptoms and consequences, when head impacts are repetitive, the severity of symptoms typically increases (e.g., headache, fatigue, memory problems), along with an elevated risk of long-term neurodegeneration and neurocognitive deficits [
4,
5,
6,
7]. Further, experiencing one mild TBI appears to render an individual more likely to sustain further head injuries [
8].
To date, research into the effects of single or repetitive mild TBI has focused almost exclusively on how these impacts affect the brain itself; while largely neglecting potential involvement of the overlying cranium, which houses and protects the brain. Historically, the cranium has predominantly been studied in the context of severe trauma to the head, in which impact-induced skull fractures contribute to increased mortality and morbidity [
9,
10,
11]. Further, while many years of computer simulations have incorporated the cranium in the modeling of brain biomechanics upon impact to the head [
12], the bone is typically depicted as a simple, inert and rigid material [
13,
14,
15].
However, cranial bone is in fact a dynamic and mechanosensitive living tissue, responsive to applied mechanical forces as well as its molecular and cellular microenvironment [
16]. Recent experimental studies have reported that repeated mild TBI induces changes in cranial bone composition and structure [
17,
18], while other studies have highlighted TBI-induced changes in meningeal lymphatic endothelial cells and vasculature associated with a neuroinflammatory response [
19,
20,
21,
22]. These extra-cerebral effects of a mild TBI plausibly have consequences for neuropathology in the associated brain parenchyma, and subsequent implications for neurological outcomes for the individual.
We herein review this recent evidence in the context of our current understanding about bone mechanics and the consequences of TBI or concussions on brain structure and function. We build a case suggesting that TBI-induced cranial bone changes may be an important modulator of outcomes following subsequent head impacts, and advocate for greater consideration of cranial responses to head injury in computer modeling.
Fundamental Concepts
If you cast your mind back to undergraduate ‘Neuroanatomy’ classes, you will recall that the brain is closely enveloped in several protective structures including the highly cellularized and heterogeneous meningeal layers (the pia mater, arachnoid mater, and dura mater), the cranium, pericranium (periosteum), areolar tissue,
galea aponeurotica, and skin. The subarachnoid space lies between the pia mater and arachnoid mater, and is filled with cerebrospinal fluid (CSF) and vasculature in close association with the lymphatics system [
23]. As a subdivision of the skull (a term that also includes the facial skeleton and the mandible or lower jaw), the cranium is made up of the calvarium enclosing the cranial cavity, which houses the brain. Calvaria consist of large flat bones such as the frontal, the occipital and the two parietal bones, which are tightly joined together by sutures. Sutures are connective tissues rich in collagenous fibers which increase the elasticity and compliance of the cranium, acting as shock absorbers by absorbing more energy during impact loading compared to the surrounding bone [
24,
25].
A TBI or concussion can occur as a result of direct or indirect impact to the head (e.g., blunt or penetrating impact, or a blast shock wave), rapid acceleration, and/or deceleration of the head. Head impacts result in loading regimes (the combination of external forces acting on the head tissues) and deformation regimes (the integral strain and stress regime across the head tissues associated with the loading regime) [
26]. These strains and stressors interact with the impacted object (the head). Neither the head nor the cranium are uniform or simple structures, which causes considerable complexity for scientists, clinicians, biomechanical engineers, and physicists attempting to define the impact-deformation relationships of head tissues, and understand how and why a given head impact results in neurological consequences. However, put simply, a TBI occurs when the physical load to the head exceeds its capacity to absorb the force without injury to the brain tissue [
27].
Calvaria Impacts Contribute to TBI Pathology
Calvaria fractures caused by blunt impact head injuries are dependent on the velocity of the impact force and can lead to TBI [
28,
29,
30,
31,
32,
33]. The likelihood of calvaria fracture resulting from blunt impact is also dependent upon the geometry and compliance of the bone, and the resulting tensile strain [
34]. Thus, the heterogeneous nature of calvarium morphology, varying across anatomical locations, determines differential risk of fracture when blunt impacts are sustained to different aspects of the head [
35,
36,
37,
38,
39]. Further, the cranium does not respond to external mechanical stimuli in isolation. Rather, an impact force propagates through the bone and into the underlying, closely associated meninges. These meninges are comprised of heterogeneous cell types with distinct mechanical properties depending upon variables such as the extent of vascularization and cell density [
40].
At high impact velocities, calvarial fracture dissipates at least some of the impact energy which reduces its transfer into the underlying brain tissue. Thus, fractures resulting from high velocity blunt impacts are likely to reduce the risk of diffuse brain injury, but may increase the risk of brain contusion [
39]. In one study, the evaluation of head injuries resulting from motor vehicle accidents found that the presence of cranial fractures in fact lowered the incidence of intracranial lesions, which the authors surmised to be due to reduced intracranial pressure [
41]. However, considerable evidence from both clinical and experimental studies demonstrates that the presence of a calvarial fracture reflects a more severe brain injury, and is typically associated with worse outcomes. For example, observational studies in severe TBI patients have found that those with a cranial vault or cranial base fracture have an increased risk of death; while the odds ratio of in-hospital mortality was even higher for those who sustain fractures at both sites [
10,
11]. In adolescents and adults with head injuries, cranial fracture has been identified as a stand-out significant independent risk factor for the development of intracranial hemorrhage [
9,
42]. Further, the risk of developing post-traumatic epilepsy is substantially elevated by an impact-induced cranial fracture (compared to those who sustain a TBI but no fracture) [
43].
Animal models have provided some insight into the pathophysiology that results from a calvarial fracture resulting from blunt force impact. For example, in a weight-drop injury model, mice that exhibit a fracture show an exacerbated inflammatory response compared to injured mice without fractures, with the authors concluding that fractures account for a notable proportion of the variability seen in this model [
44]. Even bone fractures in more remote locations, such as in the limbs, result in worse neuropathological and neurological outcomes after a TBI [
45,
46,
47], indicative of complex bidirectional signaling mechanisms at play beyond isolated consideration of the brain’s response to impact force.
The relationship between calvarial trauma and mild TBI (i.e., below the threshold of impact that induces a bone fracture) is even less well defined [
48]. This is due to factors including ambiguity around the definitions and diagnosis of mild TBI and concussion [
32,
49], as well as the involvement of both linear and rotational/acceleration forces associated with concussions. Helmet or mouth guard-mounted impact sensors to collect
in vivo real-time data on head impacts sustained during participation in contact sports is helping to better understand the forces required to induce a concussion (e.g., [
50,
51,
52]). However, even exposure to mild head impacts that do not result in known or suspected clinical symptoms (i.e., a ‘sub-concussive’ impact), may nonetheless result in physiological, anatomical, and neurological alterations when repetitive in nature [
53,
54]. In the next section, we postulate that even if the cranium does not fracture, variation in bone thickness to alter surface area and bone density may reduce the impact strains that result in brain injury, and that such changes may contribute to the biomechanics of mild TBI.
Mild Head Impacts Alter the Calvarial Bone and Underlying Meninges
Much of what we know about the effects of head injuries on the cranium relates to fractures, as described above. However, only a subpopulation of moderate and severe TBI cases are associated with fracture. Mild TBI, by definition, is typically at a severity below that which results in a fracture, but nonetheless can have serious and long-lasting consequences [
55,
56]. A recent systematic review of clinical evidence concluded that the cranium can be deformed even by a mild head impact [
57]. Further, several case studies suggest that damage proximal to the cranial base in particular can contribute to neurovascular dysfunction, which may underlie some of the acute symptoms associated with concussion, such as dizziness and headache [
57].
Emerging preclinical research has demonstrated that mild head impacts, below the bone’s optimal strain environment, can also has a notable effect on the calvarium. Using microCT and models of repetitive mild TBI in rodents, two studies from our group have indicated that mild head impacts result in increased cranial thickness [
17,
18]. We firstly reported that a single mild TBI to male adolescent mice led to increased calvarial bone volume five weeks later [
18]. This increased bone appeared to provide protection against cranial fracture, as the fracture incidence was considerably lower in this group when subjected to a subsequent mild TBI, compared to an age-matched control group who had not received a prior mild TBI impact [
18]. More recently, we reported that young adult female rats exposed to 2 or 3 repeated mild TBIs exhibited time- and location-dependent increases in bone thickness and density at the site of impact [
17]. Together, these findings represent a phenomomen of increased cranial thickness following mechanical trauma, which can be observed in different TBI models, species, or injury locations.
Of note, these findings to date are primarily qualitative, with little exploration of the biological mechanisms by which an applied blunt impact force drives an increase in cranial thickness. However, consistent with observations in the context of tibial compression, it is likely that impacts to the cranium induce a local reparative response including increased bone formation by osteoblasts [
58,
59]. Indeed, comparison of cells from load-bearing bones versus non-loaded bones has revealed innate differences in their sensitivity to mechanical loading, leading some researchers to propose that bone cells are either programmed to their physical environment, or can adapt and adjust their mechanosensitivity in response to different strain environments [
60].
Further, recent studies have also demonstrated that the meninges mount a dynamic transcriptomic response to mild TBI [
20,
22], which is more pronounced in the aging brain, and may contribute to age-related vulnerability and poor neurological outcomes [
22]. Mild TBI causes changes in meningeal lymphatic vascular morphology and associated impairments in drainage, with some evidence that lymphatic deficits contribute to the exacerbation of TBI-induced inflammation and cognitive dysfunction [
61]. Most recently, new evidence has emerged demonstrating that CSF can access bone marrow niches within the cranium to regulate local immune responses in the context of spinal cord injury and bacterial meningitis [
62,
63]. It is plausible that mild head impacts also perturb these cranial marrow cavities and their resident immune and hematopoetic stem cells after a mild TBI, to influence the effect of the impact on the underlying brain tissue; although empirical evidence of this is currently lacking.
Individual Variability in Calvarial Thickness
When considering the effects of isolated or repetitive mild TBI on the cranium, it is also important to note the inherent population-wide heterogeneity in human cranial structure and morphology, including thickness. For example, thickness of the frontal bone has been reported to range from 3.5 to over 11 mm, alongside individual variability in the ratio of diploë to the outer bone tables, and morphological differences evident by histology [
64,
65].
Multiple factors can influence calvarial thickness, beginning during early development. Growth of the brain and cranium are dynamic and intimately integrated, through common molecular signaling pathways and responsiveness to mechanical forces to ensure an appropriately snug fit [
66,
67]. For example, the growing brain generates tensile strain on the developing cranial bones, which promotes bone remodeling to accommodate the expanding neural tissue [
68]. This relationship is well represented by cases of hydrocephalus, in which excess CSF results in abnormal pressure within the cranial vault. If left untreated, this pressure leads to thinning of the bone. Early-life placement of a ventricular shunt can, albeit rarely, instead result in chronic intracranial hypotension, leading to thickening of the calvarium in a condition known as
hyperostosis cranii ex vacuo [
69,
70,
71,
72]. In addition, congenital abnormalities in cranial vault development such as craniosynostosis (the premature fusing of one or more cranial sutures) can also lead to an abnormal calvarium shape and thickness [
73,
74].
In the normally-developing skull, the complexity and strength of cranial sutures increases with age, with suture morphology reflecting the loading and deformation regimes applied via growth of the neighboring bones [
75]. Calvarial thickness increases through adolescence to early adulthood, with the greatest increase in regions that are subject to the greatest stress, before a gradual decline with advancing age [
76,
77]. The skull undergoes its maximal transformation between infancy and adulthood, in terms of shape, stability (suture elasticity), and bone morphology (e.g., porosity of the diploë layer), with consequences for cranial strength and rigidity [
78].
Individual variability in calvarial thickness is also determined by sex (dependent on the cranial region/bone), stature, body mass index, ancestry, and head size [
65,
77,
79,
80,
81,
82,
83]. While historically, calvarial thickness was assessed with the use of calipers, measurements can now be made from Computed Tomography (CT) images, three dimensional (3D) models derived from CT data, and computational models [
77,
79]. Adoption of these techniques has allowed for a greater appreciation of population heterogeneity on cranial bone structure and shape [
65]. However, whether this heterogeneity influences the dissipation of the forces resulting from a head impact is unknown.
Calvarial Thickness as a Moderator of Mild TBI?
The above-described evidence indicates that calvarial thickness is dependent upon numerous variables including age and sex, and suggests that exposure to mild head impacts can also moderate calvarial thickness by promoting bone formation. Together, these findings raise the intriguing possibility that differences in calvarial thickness may contribute to an individual’s risk of (or reslience against) symptomology after repetitive mild TBI, and influence the extent of brain damage that results from a mild TBI.
This hypothesis is plausible based on several considerations. Firstly, from an engineering perspective, increased bone thickness may be a protective mechanism to combat tissue strains and prevent fracture. Increased calvarial thickness results in increased bone strength [
64], which theoretically limits the transmission of force to the underlying meninges and brain parenchyma. However, the actual consequences of thicker calvarial bone on the extent of brain damage after mild TBI, either from an isolated or repetitive impacts, warrants further exploration. Changes in cranial thickness may alter load pathways, loading and deformation regimes into the underlying brain tissue, as well as the direction or diffusion of strain [
64]; which could conversely exacerbate neuropathology.
Further, as epidemiological studies have identified variables such as age and sex as moderators of mild TBI outcomes [
84], age and sex-based differences in calvarial thickness may be one of the mechanisms underlying this relationship. For example, due to developmental changes in cranial bone thickness with maturation, the child and adolescent cranium has a lower capacity compared to adult bone to act as a shock absorber for applied mechanical forces. In alignment with this rationale, older mice with thicker parietal bones have been shown to have a reduced risk of cranial fracture from a weight-drop injury model compared to young adult mice with thinner bone [
44], suggesting that a thicker cranium yields protection against fracture and the associated consequences of this damage. Further supporting this evidence is an older study by Ruan and Prasad (2001), in which they used an ultrasonic tranducer to obtain high-resolution measurements of frontal bone thickness in human cadavers to inform a finite element model. They reported that a thicker cranium results in a lesser degree of bone deformation upon impact, and concluded that a thicker cranium therefore provides increased protection for the brain. While this finding has implications for resistance to cranial fracture, as noted by the authors, the influence of differential calvarial thickness on the effects of mild TBI for the brain are less clear.
Research Challenges, Opportunities, and Implications
Research in the field of mild TBI is rapidly evolving, and new evidence about vulnerability versus resilience factors have considerable implications for public policy, medico-legal interpretations, education, and health care. A more holistic understanding of how extra-cerebral tissues contribute to brain injury outcomes may represent a missing piece in the puzzle to better predict patient outcomes and design appropriate treatment strategies. Animal models of repetitive mild TBI allow for the evaluation of
in vivo physiological responses to head impacts across a time course [
12,
18,
85,
86]; yet, species differences in the anatomy of both the brain and cranium can limit translation of these findings to humans. A popular alternative is to examine human cadavers, providing valuable insights into the response of different bone structures to mechanical impact, and to understand how loads change as forces pass through the cranium [
64,
80,
87]. However, these scenarios lack an appreciation for how the transmitted force then enters the living brain. To bridge this gap, computer modeling can prove invaluable to assess the contribution of material properties of the head on the transmission of forces upon impact [
12,
14,
15,
88]. Further, recent work in human volunteers has been evaluating the impact of low levels of acceleration on the living brain and cranium via MRI, including diffusion tensor imaging and magnetic resonance elastography, to better inform computer modeling [
89].
Ideally, these different approaches should be used in a complementary way. For example, sophisticated and accurate computer modeling of the brain under mechanical force from blunt force impact to the head requires accurate representation of the tissues involved as dynamic structures – including the scalp, cranium, vasculature, meninges, and cerebrospinal fluid [
90,
91]. Increasing studies have reported on complex heterogeneity in structure and mechanical responsiveness of the meningeal layers [
40,
92] – findings which also have implications for how traumatic impacts to the head propagate through to the brain itself. Even the brain vasculature has been recognized to contribute to the load-bearing capacity of the brain, with major blood vessels in particular being important predictors of brain strain resulting from diffuse or rotational impacts to the brain [
91].
It remains to be confirmed whether cranial bone thickness is indeed a modifier of how the force from a blunt force impact to the head leads to a mTBI. If this hypothesis is correct, then it would have considerable implications for the field. Together, such research may lead to more realistic injury prediction, improved risk mitigation strategies, and the development of improved protective gear [
93]. Cranial thickness determined by CT scan may be a novel predictor of outcomes after repetitive mild TBI, whereby a thinner cranium renders an individual more vulnerable to worse outcomes after injury. Conversely, identification of individuals with a thicker cranium following mild TBI impacts (compared to either a baseline pre-injury assessment or population-based reference measurements) may have utility as a novel objective biomarker of prior mTBI exposures, with implications for return-to-play decisions for athletes and return-to-combat decisions for military personnel. An improved understanding of the degree to which cranial thickness determines the consequences of mTBI may also have broader implications for medico-legal matters and in forensic medicine (e.g., in the identification of individuals exposed to repetitive physical domestic abuse).
Conclusions
A significant knowledge gap exists in our understanding of the effects of mechanical forces applied to the head at a magnitude below that which induces a cranial fracture. We advocate for increased research in the field towards a more holistic appreciation for how head impacts may influence extra-cerebral structures and tissues including the cranium and meninges, and how these interact with the brain parenchyma. Based upon emerging evidence of cranial bone variability both endogenously and in response to impact, we also propose that animal and computer modeling should consider individual differences in calvarial thickness, and take into account changes in calvarium material properties with age and sex, to ensure that we are appropriately modeling the population at greatest risk of repeated mild TBI. The recent generation of reference measurements from the crania of over 600 individuals, accounting for bone region, sex, age, and ancestry, may prove to be a useful resource for interpreting an individual’s cranium as being of abnormal thickness [
65]. Yet, further research is needed to empirically demonstrate the potential role of cranial thickness on neurological outcomes after mild TBI.
Transparency, Rigor, and Reproducibility Statement
No original data was generated for the purpose of this review. Study preregistration was not performed as it was not possible to do so in a meaningful way in the context of a review paper.
Author Contributions
BDS: Conceptualization (equal); writing – original draft (lead); writing – review and editing (equal). OP: Conceptualization (equal); writing – original draft (supporting); writing - review and editing (equal). All authors have read and agreed to the published version of the manuscript.
Acknowledgements
While this manuscript did not receive any direct funding, BDS and OP are supported by internal funds from Monash University and Monash Biomedicine Discovery Institute. BDS is also supported by an Epilepsy Research Program Idea Development Award (#W81XWH-19-ERP-IDA) from the US Department of Defense, and a Veski Near-Miss Grant.
Conflicts of Interest
The authors have no conflict of interest to disclose.
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/).