Viscoelastic properties of human cerebellum using magnetic resonance elastography

Zhang, Junyi; Green, Michael A; Sinkus, Ralph; Bilston, Lynne E.

doi:10.1016/j.jbiomech.2011.04.034

Cited by 100 publications

(99 citation statements)

References 26 publications

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“…Where possible, direct measures of brain material properties in vivo are complementing past studies. For example, recent results using brain MR elastography provides estimates of the changes that occur in vivo and are in the range of properties derived from previous in vivo and in situ measurements [11,[71][72][73][74][75].…”

Section: An Integrated Multiscale Approach For Understanding Traumatmentioning

confidence: 99%

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

Meaney

Morrison

Bass

2014

Journal of Biomechanical Engineering

211

126

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Traumatic brain injury (TBI) is a significant public health problem, on pace to become the third leading cause of death worldwide by 2020. Moreover, emerging evidence linking repeated mild traumatic brain injury to long-term neurodegenerative disorders points out that TBI can be both an acute disorder and a chronic disease. We are at an important transition point in our understanding of TBI, as past work has generated significant advances in better protecting us against some forms of moderate and severe TBI. However, we still lack a clear understanding of how to study milder forms of injury, such as concussion, or new forms of TBI that can occur from primary blast loading. In this review, we highlight the major advances made in understanding the biomechanical basis of TBI. We point out opportunities to generate significant new advances in our understanding of TBI biomechanics, especially as it appears across the molecular, cellular, and whole organ scale.

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Section: An Integrated Multiscale Approach For Understanding Traumatmentioning

confidence: 99%

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

Meaney

Morrison

Bass

2014

Journal of Biomechanical Engineering

211

126

View full text Add to dashboard Cite

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“…MRE was performed on an axial imaging region within and just above the ventricles (Fig 1). Shear waves were produced in the brain via a purpose-built mechanical transducer consisting of a coaxial coil system and an individually molded polymer mouthguard, 16,18 triggered by the MR spectrometer in synchrony with motion-sensitized gradients. A 30-Hz sinusoidal vibration frequency was used to maximize wave propagation into the deep regions of the brain.…”

Section: Mr Imagingmentioning

confidence: 99%

“…Viscoelastic properties are quantified by analyzing the wave-propagation characteristics. MRE has been used to quantify the viscoelastic properties of healthy in vivo brain tissue [16][17][18] and brain disorders such as normal pressure hydrocephalus. 19,20 The shear moduli obtained depend on the vibration frequency, with lower values obtained at low frequencies.…”

mentioning

confidence: 99%

MR Elastography Can Be Used to Measure Brain Stiffness Changes as a Result of Altered Cranial Venous Drainage During Jugular Compression

Hatt

Cheng

Tan

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Compressing the internal jugular veins can reverse ventriculomegaly in the syndrome of inappropriately low pressure acute hydrocephalus, and it has been suggested that this works by "stiffening" the brain tissue. Jugular compression may also alter blood and CSF flow in other conditions. We aimed to understand the effect of jugular compression on brain tissue stiffness and CSF flow.

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“…25,30,31 Both the white and gray matter of the cerebellum were modeled through a Neo-Hookean hyperelastic strain energy function extended to include quasilinear viscoelasticity. The shear modulus of the cerebellum (Table 3) was chosen to be 24% softer than the isotropic shear modulus of the cerebral white and gray matter based on the experimental findings of Zhang et al 32 The time dependent behavior of the cerebellum was assumed to be similar to that of the cerebral white and gray matter. The bridging veins were modeled with a first-order Ogden strain-energy function.…”

Section: Computational Approach To Estimate Axonal Damagementioning

confidence: 99%

A Multiscale Computational Approach to Estimating Axonal Damage under Inertial Loading of the Head

Wright

Post

Hoshizaki

et al. 2013

Journal of Neurotrauma

112

115

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A computational modeling framework is developed to estimate the location and degree of diffuse axonal injury (DAI) under inertial loading of the head. DAI is one of the most common pathological features of traumatic brain injury and is characterized by damage to the neural axons in the white matter regions of the brain. We incorporate the microstructure of the white matter (i.e., the fiber orientations and fiber dispersion) through the use of diffusion tensor imaging (DTI), and model the white matter with an anisotropic, hyper-viscoelastic constitutive model. The extent of DAI is estimated using an axonal strain injury criterion. A novel injury analysis method is developed to quantify the degree of axonal damage in the fiber tracts of the brain and identify the tracts that are at the greatest risk for functional failure. Our modeling framework is applied to analyze DAI in a real-life ice hockey incident that resulted in concussive injury. To simulate the impact, two-dimensional finite element (FE) models of the head were constructed from detailed MRI and DTI data and validated using available human head experimental data. Acceleration loading curves from accident reconstruction data were then applied to the FE models. The rotational (rather than translational) accelerations were shown to dominate the injury response, which is consistent with previous studies. Through this accident reconstruction, we demonstrate a conceptual framework to estimate the degree of axonal injury in the fiber tracts of the human brain, enabling the future development of relationships between computational simulation and neurocognitive impairment.

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Viscoelastic properties of human cerebellum using magnetic resonance elastography

Cited by 100 publications

References 26 publications

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

MR Elastography Can Be Used to Measure Brain Stiffness Changes as a Result of Altered Cranial Venous Drainage During Jugular Compression

A Multiscale Computational Approach to Estimating Axonal Damage under Inertial Loading of the Head

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