Mechanical characterization of the human pia-arachnoid complex

Benko, Nikolaus; Luke, Emma; Alsanea, Yousef; Coats, Brittany

doi:10.1016/j.jmbbm.2021.104579

Cited by 14 publications

(3 citation statements)

References 27 publications

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“…[ 62 ] conducted in situ mechanical testing on human brains using optical coherence tomography, thus avoiding the difficulties associated with mechanical testing of this thin structure. They report [ 62 ] a mean traction modulus of 12.6 ± 4.8 kPa, which compares well with the value of 7.7 kPa found here. Interestingly, Benko et al .…”

Section: Discussionmentioning

confidence: 99%

“…However, others have suggested that the methodology employed has significant limitations [34]. More recently, Benko et al [62] conducted in situ mechanical testing on human brains using optical coherence tomography, thus avoiding the difficulties associated with mechanical testing of this thin structure. They report [62] a mean traction modulus of 12.6 ± 4.8 kPa, which compares well with the value of 7.7 kPa found here.…”

Section: Materials Properties and Parametric Analysismentioning

confidence: 99%

“…More recently, Benko et al [62] conducted in situ mechanical testing on human brains using optical coherence tomography, thus avoiding the difficulties associated with mechanical testing of this thin structure. They report [62] a mean traction modulus of 12.6 ± 4.8 kPa, which compares well with the value of 7.7 kPa found here. Interestingly, Benko et al also report that PAC stiffness is greater by approximately 21% in superior regions, presenting an opportunity for future development of the model.…”

Section: Materials Properties and Parametric Analysismentioning

confidence: 99%

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In vivo measurement of human brain material properties under quasi-static loading

Bennion

Zappalá

Potts

et al. 2022

J. R. Soc. Interface.

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Computational modelling of the brain requires accurate representation of the tissues concerned. Mechanical testing has numerous challenges, in particular for low strain rates, like neurosurgery, where redistribution of fluid is biomechanically important. A finite-element (FE) model was generated in FEBio, incorporating a spring element/fluid–structure interaction representation of the pia–arachnoid complex (PAC). The model was loaded to represent gravity in prone and supine positions. Material parameter identification and sensitivity analysis were performed using statistical software, comparing the FE results to human in vivo measurements. Results for the brain Ogden parameters µ , α and k yielded values of 670 Pa, −19 and 148 kPa, supporting values reported in the literature. Values of the order of 1.2 MPa and 7.7 kPa were obtained for stiffness of the pia mater and out-of-plane tensile stiffness of the PAC, respectively. Positional brain shift was found to be non-rigid and largely driven by redistribution of fluid within the tissue. To the best of our knowledge, this is the first study using in vivo human data and gravitational loading in order to estimate the material properties of intracranial tissues. This model could now be applied to reduce the impact of positional brain shift in stereotactic neurosurgery.

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Section: Discussionmentioning

confidence: 99%