Regional mechanical properties of human brain tissue for computational models of traumatic brain injury

Regional mechanical properties of human brain tissue for computational models of traumatic brain injury
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DOI:
10.1016/j.actbio.2017.03.037
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发表时间:
2017-06-01
期刊:
影响因子:
9.7
通讯作者:
Morrison, Barclay, III
Morrison, Barclay, III
中科院分区:
工程技术1区
文献类型:
--
作者:
Finan, John D.;Sundaresh, Sowmya N.;Morrison, Barclay, III

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To determine viscoelastic shear moduli, stress relaxation indentation tests were performed on samples of human brain tissue resected in the course of epilepsy surgery. Through the use of a 500 mm diameter indenter, regional mechanical properties were measured in cortical grey and white matter and subregions of the hippocampus. All regions were highly viscoelastic. Cortical grey matter was significantly more compliant than the white matter or hippocampus which were similar in modulus. Although shear modulus was not correlated with the age of the donor, cortex from male donors was significantly stiffer than from female donors. The presented material properties will help to populate finite element models of the brain as they become more anatomically detailed.Statement of SignificanceWe present the first mechanical characterization of fresh, post-operative human brain tissue using an indentation loading mode. Indentation generates highly localized data, allowing structure-specific mechanical properties to be determined from small tissue samples resected during surgery. It also avoids pitfalls of cadaveric tissue and allows data to be collected before degenerative processes alter mechanical properties. To correctly predict traumatic brain injury, finite element models must calculate intracranial deformation during head impact. The functional consequences of injury depend on the anatomical structures injured. Therefore, morbidity depends on the distribution of deformation across structures. Accurate prediction of structure-specific deformation requires structure-specific mechanical properties. This data will facilitate deeper understanding of the physical mechanisms that lead to traumatic brain injury. (C) 2017 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.