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Relevant bibliographies by topics / Brain – Mechanical properties

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Academic literature on the topic 'Brain – Mechanical properties'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Brain – Mechanical properties"

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Sato, M., W. H. Schwartz, S. C. Selden, and T. D. Pollard. "Mechanical properties of brain tubulin and microtubules." Journal of Cell Biology 106, no. 4 (1988): 1205–11. http://dx.doi.org/10.1083/jcb.106.4.1205.

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We measured the elasticity and viscosity of brain tubulin solutions under various conditions with a cone and plate rheometer using both oscillatory and steady shearing modes. Microtubules composed of purified tubulin, purified tubulin with taxol and 3x cycled microtubule protein from pig, cow, and chicken behaved as mechanically indistinguishable viscoelastic materials. Microtubules composed of pure tubulin and heat stable microtubule-associated proteins were also similar but did not recover their mechanical properties after shearing like other samples, even after 60 min. All of the other micr

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Miller, Karol, and Kiyoyuki Chinzei. "Mechanical properties of brain tissue in tension." Journal of Biomechanics 35, no. 4 (2002): 483–90. http://dx.doi.org/10.1016/s0021-9290(01)00234-2.

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Chatelin, S., J. Vappou, S. Roth, J. S. Raul, and R. Willinger. "Towards child versus adult brain mechanical properties." Journal of the Mechanical Behavior of Biomedical Materials 6 (February 2012): 166–73. http://dx.doi.org/10.1016/j.jmbbm.2011.09.013.

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ATSUMI, Noritoshi, Satoko HIRABAYASHI, Eiichi TANAKA, and Masami IWAMOTO. "537 Modeling of Mechanical Properties of Brain Parenchyma." Proceedings of Conference of Tokai Branch 2013.62 (2013): 333–34. http://dx.doi.org/10.1299/jsmetokai.2013.62.333.

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McIlvain, Grace, Hillary Schwarb, Neal J. Cohen, Eva H. Telzer, and Curtis L. Johnson. "Mechanical properties of the in vivo adolescent human brain." Developmental Cognitive Neuroscience 34 (November 2018): 27–33. http://dx.doi.org/10.1016/j.dcn.2018.06.001.

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FUJIMOTO, Masaya, Itsuo SAKURAMOTO, Kazuhiko ICHIHARA, Jyunji OHGI, and Masami IWAMOTO. "147 Investigation of the Mechanical Properties for Brain tissue." Proceedings of the Tecnology and Society Conference 2013 (2013): 95–96. http://dx.doi.org/10.1299/jsmetsd.2013.95.

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van Dommelen, J. A. W., T. P. J. van der Sande, M. Hrapko, and G. W. M. Peters. "Mechanical properties of brain tissue by indentation: Interregional variation." Journal of the Mechanical Behavior of Biomedical Materials 3, no. 2 (2010): 158–66. http://dx.doi.org/10.1016/j.jmbbm.2009.09.001.

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Tobushi, Hisaaki, K. Kitamura, Yukiharu Yoshimi, K. Miyamoto, and K. Mitsui. "Mechanical Properties of Cast Shape Memory Alloy for Brain Spatula." Materials Science Forum 674 (February 2011): 213–18. http://dx.doi.org/10.4028/www.scientific.net/msf.674.213.

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In order to develop a brain spatula or a brain retractor made of a shape memory alloy (SMA), the bending characteristics of the brain spatula of TiNi SMA made by the precision casting were discussed based on the tensile deformation properties of the existing copper and the TiNi rolled-SMA. The fatigue properties of both materials were also investigated by the plane-bending fatigue test. The results obtained can be summarized as follows. (1) The modulus of elasticity and the yield stress for the cast and rolled SMAs are lower than those for the copper. Therefore, the conventional rolled-SMA spa

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Zhang, Chi, Long Qian, and Hongwei Zhao. "Elucidation of Regional Mechanical Properties of Brain Tissues Based on Cell Density." Journal of Bionic Engineering 18, no. 3 (2021): 611–22. http://dx.doi.org/10.1007/s42235-021-0047-6.

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AbstractResearch on the mechanical properties of brain tissue has received extensive attention. However, most of the current studies have been conducted at the phenomenological level. In this study, the indentation method was used to explore the difference in local mechanical properties among different regions of the porcine cerebral cortex. Further, hematoxylin-eosin and immunofluorescence staining methods were used to determine the correlation between the cellular density at different test points and mechanical properties of the porcine cerebral cortex. The frontal lobe exhibited the stronge

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Metwally, Mohamed K., Hee-Sok Han, Hyun Jae Jeon, Sang Beom Nam, Seung Moo Han, and Tae-Seong Kim. "Influence of Skull Anisotropic Mechanical Properties in Low-Intensity Focused Ultrasound." Journal of Computational Acoustics 24, no. 01 (2016): 1650003. http://dx.doi.org/10.1142/s0218396x1650003x.

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Low-intensity focused ultrasound (LIFU) is a new noninvasive brain stimulation technique where ultrasound is applied with low frequency and intensity to focus at a target region within the brain in order to exhibit or inhibit neuronal activity. In applying LIFU to the human brain, the skull is the main barrier due to its well-known high anisotropic mechanical properties which will affect the ultrasound focusing thereby affecting the neuromodulation or brain stimulation. This study aims at investigating the influence of the anisotropic mechanical properties of the skull on ultrasound propagatio

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Dissertations / Theses on the topic "Brain – Mechanical properties"

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MacLean, Sean. "Brain tissue analysis of mechanical properties /." Connect to resource, 2010. http://hdl.handle.net/1811/44968.

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Ozan, Cem. "Mechanical modeling of brain and breast tissue." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22632.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Germanovich, Leonid; Committee Co-Chair: Skrinjar, Oskar; Committee Member: Mayne, Paul; Committee Member: Puzrin, Alexander; Committee Member: Rix, Glenn.

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Mijailovic, Aleksandar S. "Methods to measure and relate the viscoelastic properties of brain tissue." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106778.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 71-75).<br>Measurement of brain tissue elastic and viscoelastic properties is of interest for modeling traumatic brain injury, understanding and creating new biomarkers for brain diseases, improving neurosurgery procedures and development of tissue surrogate materials for evaluating protective strategies (e.g., helmets). However, accurate measurement of mechanical properties of brain tissue is challenging due to

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Cheng, Shao Koon Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "The role of brain tissue mechanical properties and cerebrospinal fluid flow in the biomechanics of the normal and hydrocephalic brain." Awarded by:University of New South Wales. Graduate School of Biomedical Engineering, 2006. http://handle.unsw.edu.au/1959.4/27292.

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The intracranial system consists of three main basic components - the brain, the blood and the cerebrospinal fluid. The physiological processes of each of these individual components are complex and they are closely related to each other. Understanding them is important to explain the mechanisms behind neurostructural disorders such as hydrocephalus. This research project consists of three interrelated studies, which examine the mechanical properties of the brain at the macroscopic level, the mechanics of the brain during hydrocephalus and the study of fluid hydrodynamics in both the normal an

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Petrov, Andrii. "Brain Magnetic Resonance Elastography based on Rayleigh damping material model." Thesis, University of Canterbury. Mechanical Engineering, 2013. http://hdl.handle.net/10092/7901.

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Magnetic Resonance Elastography (MRE) is an emerging medical imaging modality that allows quantification of the mechanical properties of biological tissues in vivo. MRE typically involves time-harmonic tissue excitation followed by the displacement measurements within the tissue obtained by phase-contrast Magnetic Resonance Imaging (MRI) techniques. MRE is believed to have great potential in the detection of wide variety of pathologies, diseases and cancer formations, especially tumors. This thesis concentrates on a thorough assessment and full rheological evaluation of the Rayleigh damping (

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BENEGA, MARCOS A. G. "Estudo e desenvolvimento de fonte de fósforo-32 imobilizado em matriz polimérica para tratamento de câncer paravertebral e intracranial." reponame:Repositório Institucional do IPEN, 2015. http://repositorio.ipen.br:8080/xmlui/handle/123456789/23702.

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Submitted by Claudinei Pracidelli (cpracide@ipen.br) on 2015-06-09T18:38:57Z No. of bitstreams: 0<br>Made available in DSpace on 2015-06-09T18:38:57Z (GMT). No. of bitstreams: 0<br>Dissertação (Mestrado em Tecnologia Nuclear)<br>IPEN/D<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

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Harris, James Patrick. "The Glia-Neuronal Response to Cortical Electrodes: Interactions with Substrate Stiffness and Electrophysiology." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1320950439.

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Anderson, Cassie Alexandra Palm. "Mechanical and Physical Properties of Biodegradable Wheat Bran, Maize Bran, and Dried Distillers Grain Arabinoxylan Films." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/28492.

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Arabinoxylans are non-starch polysaccharides in the cell walls of cereal crops including maize (Zea mays L.) and wheat (Triticum aestivum L.). Arabinoxylans are produced when maize bran, dried distillers grain, and wheat bran are processed. The objective of this research was to extract arabinoxylan from cereal processing byproducts for use in biodegradable films. The arabinoxylan was extracted with dilute sodium hydroxide and purified using ?-amylase and protease. In addition to arabinoxylan, these films were made with either glycerol or sorbitol as a plasticizer at levels of 100, 250 or 500 g

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Books on the topic "Brain – Mechanical properties"

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O'Donoghue, Dearbhail. Biomechanics of frontal and occipital head impact injuries: A plane strain simulation of coup & contrecoup contusion. University College Dublin, 1999.

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A, Bandak Faris, Eppinger Rolf H, and Ommaya Ayub K. 1930-, eds. Traumatic brain injury: Bioscience and mechanics. Mary Ann Liebert, Inc., 1996.

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Book chapters on the topic "Brain – Mechanical properties"

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Bilston, Lynne E. "Brain Tissue Mechanical Properties." In Biomechanics of the Brain. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04996-6_4.

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Bilston, Lynne E. "Brain Tissue Mechanical Properties." In Biomechanics of the Brain. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9997-9_4.

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Bilston, Lynne E. "Brain Tissue Mechanical Properties." In Neural Tissue Biomechanics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/8415_2010_36.

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Agrawal, Sudip, Adam Wittek, Grand Joldes, Stuart Bunt, and Karol Miller. "Mechanical Properties of Brain–Skull Interface in Compression." In Computational Biomechanics for Medicine. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15503-6_8.

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van Dommelen, J. A. W., M. Hrapko, and G. W. M. Peters. "Mechanical Properties of Brain Tissue: Characterisation and Constitutive Modelling." In Mechanosensitivity of the Nervous System. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8716-5_12.

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Miller, Karol, and Wieslaw L. Nowinski. "Modeling of Brain Mechanical Properties for Computer-Integrated Medicine." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11008941_14.

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Soza, Grzegorz, Roberto Grosso, Christopher Nimsky, Guenther Greiner, and Peter Hastreiter. "Estimating Mechanical Brain Tissue Properties with Simulation and Registration." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30136-3_35.

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Nagashima, Tatsuya, Norihiko Tamaki, Satoshi Matsumoto, Tetsuya Tateishi, and Yoshio Shirasaki. "Biomechanics of Hydrocephalus: Part I. Mechanical properties of the brain." In Annual Review of Hydrocephalus. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-11149-9_24.

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Serai, Suraj D., and Meng Yin. "MR Elastography of the Abdomen: Basic Concepts." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_18.

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AbstractMagnetic resonance elastography (MRE) is an emerging imaging modality that maps the elastic properties of tissue such as the shear modulus. It allows for noninvasive assessment of stiffness, which is a surrogate for fibrosis. MRE has been shown to accurately distinguish absent or low stage fibrosis from high stage fibrosis, primarily in the liver. Like other elasticity imaging modalities, it follows the general steps of elastography: (1) apply a known cyclic mechanical vibration to the tissue; (2) measure the internal tissue displacements caused by the mechanical wave using magnetic resonance phase encoding method; and (3) infer the mechanical properties from the measured mechanical response (displacement), by generating a simplified displacement map. The generated map is called an elastogram.While the key interest of MRE has traditionally been in its application to liver, where in humans it is FDA approved and commercially available for clinical use to noninvasively assess degree of fibrosis, this is an area of active research and there are novel upcoming applications in brain, kidney, pancreas, spleen, heart, lungs, and so on. A detailed review of all the efforts is beyond the scope of this chapter, but a few specific examples are provided. Recent application of MRE for noninvasive evaluation of renal fibrosis has great potential for noninvasive assessment in patients with chronic kidney diseases. Development and applications of MRE in preclinical models is necessary primarily to validate the measurement against “gold-standard” invasive methods, to better understand physiology and pathophysiology, and to evaluate novel interventions. Application of MRE acquisitions in preclinical settings involves challenges in terms of available hardware, logistics, and data acquisition. This chapter will introduce the concepts of MRE and provide some illustrative applications.This publication is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This introduction chapter is complemented by another separate chapter describing the experimental protocol and data analysis.

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Cho, J. R., J. I. Song, and J. H. Choi. "Prediction of Effective Mechanical Properties of Reinforced Braid by 3-D Finite Element Analysis." In Fracture and Strength of Solids VI. Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-989-x.799.

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Conference papers on the topic "Brain – Mechanical properties"

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Bilston, Lynne E. "Brain Tissue Properties at Moderate Strain Rates." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42938.

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Bovine brain tissue has been tested in shear under oscillatory, relaxation and constant strain rate test protocols. Compression data has been obtained in confined compression. The data from these tests suggests that brain tissue is a highly nonlinear viscoelastic material, with a linear viscoelastic limit of approximately 0.1% strain. The storage and loss modulus are strain dependent above this loading level, requiring careful interpretation of oscillatory data. Brain tissue is also highly strain rate dependent, not strain-time separable, and exhibits a low long term elastic modulus. Modelling

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Rashid, Badar, Michel Destrade, and Michael D. Gilchrist. "Hyperelastic and Viscoelastic Properties of Brain Tissue in Tension." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85675.

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Mechanical characterization of brain tissue at high loading velocities is particularly important for modelling Traumatic Brain Injury (TBI). During severe impact conditions, brain tissue experiences a mixture of compression, tension and shear. Diffuse axonal injury (DAI) occurs in animals and humans when the strains and strain rates exceed 10% and 10/s, respectively. Knowing the mechanical properties of brain tissue at these strains and strain rates is thus of particular importance, as they can be used in finite element simulations to predict the occurrence of brain injuries under different im

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Chen, Xiaoshuai, Kazuya Sase, Atsushi Konno, and Teppei Tsujita. "Identification of mechanical properties of brain parenchyma for brain surgery haptic simulation." In 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2014. http://dx.doi.org/10.1109/robio.2014.7090572.

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Shafieian, Mehdi, and Kurosh Darvish. "Viscoelastic Properties of Brain Tissue Under High-Rate Large Deformation." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11681.

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The nonlinearity of brain tissue material behavior for large deformations at high strain rates was investigated. The viscoelastic properties of brain tissue under high rate ramp- and hold shear strains were determined and nonlinearity in the elastic and time dependent properties of the tissue were examined based on modeling the experimental data. The results revealed that the elastic response of brain tissue is linear from 10% to 50% shear strain, but the time dependent part of the properties in short times shows nonlinear behavior.

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Rezaei, A., M. Salimi Jazi, G. Karami, and M. Ziejewski. "The Effects of Retesting on the Mechanical Properties of Brain Tissue." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65149.

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Traumatic brain injury (TBI) is one of the most important problems in biomechanical engineering, and there have been many experiments conducted in order to characterize the mechanical properties of brain tissue. However, obtaining fresh human brain tissue is difficult, if not impossible. Also, the sample preparation and testing protocols must be carried out with great delicacy because brain tissue is very soft and vulnerable to being deformed under a very small amount of load. Most importantly, according to several researchers, each sample must be tested only one time as the tissue may be dama

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Darvish, Kurosh, and James Stone. "Changes in Viscoelastic Properties of Brain Tissue Due to Traumatic Injury." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60849.

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In this study, changes in viscoelastic material properties of brain tissue due to traumatic axonal injury (TAI) were investigated. The impact acceleration model was used to generate diffuse axonal injury in rat brain. TAI in the corticospinal (CSpT) tract in the brain stem was quantified using amyloid precursor protein immunostaining. Material properties along the CSpT were determined using an indentation technique. The results showed that the number of injured axons at the pyramidal decussation (PDx) was approximated 10 times higher than in the ponto-medullary junction (PmJ). The instantaneou

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Assari, Soroush, and Kurosh Darvish. "Brain Tissue Material and Damage Properties for Blast Trauma." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88419.

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The aim of this study was to develop a test method to characterize the material behavior of bovine brain samples in large shear deformations and high strain rates relevant to blast-induced neurotrauma (BINT) and evaluate tissue damage. A novel shear test setup was designed and built capable of applying strain rates ranging from 300 to 1000 s−1. Based on the shear force time history and propagation of shear waves, it was found that the instantaneous shear modulus (about 6 kPa) was more than 3 times higher than the values previously reported in the literature. The shear wave velocity was found t

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Wu, Xuehai, John G. Georgiadis, and Assimina A. Pelegri. "Brain White Matter Model of Orthotropic Viscoelastic Properties in Frequency Domain." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-12182.

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Abstract Finite element analysis is used to study brain axonal injury and develop Brain White Matter (BWM) models while accounting for both the strain magnitude and the strain rate. These models are becoming more sophisticated and complicated due to the complex nature of the BMW composite structure with different material properties for each constituent phase. State-of-the-art studies, focus on employing techniques that combine information about the local axonal directionality in different areas of the brain with diagnostic tools such as Diffusion-Weighted Magnetic Resonance Imaging (Diffusion

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Prange, Michael T., Gyorgy Kiralyfalvi, and Susan S. Margulies. "Pediatric Rotational Inertial Brain Injury: the Relative Influence of Brain Size and Mechanical Properties." In 43rd Stapp Car Crash Conference. SAE International, 1999. http://dx.doi.org/10.4271/99sc23.

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Bell, E. David, Rahul S. Kunjir, and Kenneth L. Monson. "Biaxial and Failure Mechanical Properties of Passive Rat Middle Cerebral Arteries." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53830.

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Cerebral blood vessels are critical in maintaining the health and function of the brain, but their function can be disrupted by traumatic brain injury (TBI), which commonly includes damage to these vessels [1]. However, even in cases where there is not apparent mechanical damage to the cerebral vasculature, TBI can induce physiological disruptions that can lead to breakdown of the blood brain barrier or loss of cerebral autoregulation.

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