Distinguishing poroelasticity and viscoelasticity of brain tissue with time scale

Su, Lijun; Wang, Ming; Yin, Jun; Ti, Fei; Yang, Jian; Ma, C.; Liu, Shaobao; Lu, Tian Jian

doi:10.1016/j.actbio.2022.11.009

Cited by 16 publications

(7 citation statements)

References 84 publications

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“…However, the fluid part disappears quite quickly after about 10 s. After this time, the solid matrix entirely carries the applied load, indicating that the fluid is flowing rapidly through the region of interest. In contrast to viscous relaxation, the area of indentation affects the characteristic relaxation time within a porous medium ( Su et al, 2023 ) because it changes the amount and distance that the fluid has to move through the solid matrix. The relatively high value of intrinsic permeability in combination with small volumetric forces can explain the marginal role that porous relaxation plays for the given loading conditions.…”

Section: Discussionmentioning

confidence: 99%

“…Taking advantage of this observation, several groups have attempted to separate the concurring relaxations by controlling the time and/or length scales of the experiments. In particular, indentation has been widely used in connection with hydrogels ( Olberding and Suh, 2006 ; Galli et al, 2009 ; Hu et al, 2010 ; Kalcioglu et al, 2012 ; Wang et al, 2014 ) and in the characterization of animal and human brain tissue ( van Dommelen et al, 2010 ; Budday et al, 2015 ; Feng et al, 2017 ; Qian et al, 2018 ; Jamal et al, 2022 ; Su et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels

Kainz

Greiner

Hinrichsen

et al. 2023

Front. Bioeng. Biotechnol.

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Understanding and characterizing the mechanical and structural properties of brain tissue is essential for developing and calibrating reliable material models. Based on the Theory of Porous Media, a novel nonlinear poro-viscoelastic computational model was recently proposed to describe the mechanical response of the tissue under different loading conditions. The model contains parameters related to the time-dependent behavior arising from both the viscoelastic relaxation of the solid matrix and its interaction with the fluid phase. This study focuses on the characterization of these parameters through indentation experiments on a tailor-made polyvinyl alcohol-based hydrogel mimicking brain tissue. The material behavior is adjusted to ex vivo porcine brain tissue. An inverse parameter identification scheme using a trust region reflective algorithm is introduced and applied to match experimental data obtained from the indentation with the proposed computational model. By minimizing the error between experimental values and finite element simulation results, the optimal constitutive model parameters of the brain tissue-mimicking hydrogel are extracted. Finally, the model is validated using the derived material parameters in a finite element simulation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels

Kainz

Greiner

Hinrichsen

et al. 2023

Front. Bioeng. Biotechnol.

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“…Therefore, models using different length and time scales distinguish the viscoelasticity and poroelasticity. [ 27,29,38,39 ]…”

Section: Mechanical Design Considerationsmentioning

confidence: 99%

“…Therefore, models using different length and time scales distinguish the viscoelasticity and poroelasticity. [27,29,38,39] Controlling the porosity of hydrogel bioadhesives is also critical for cell growth, mass transport, and drug delivery capabilities in regenerative medicine. The porosity of hydrogel bioadhesives is dependent on the polymer network mesh size, which is tunable from nano to micro scale.…”

Section: Poroelasticitymentioning

confidence: 99%

Designing Regenerative Bioadhesives for Tissue Repair and Regeneration

Liu

et al. 2023

Advanced Therapeutics

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Tissue loss through injury, surgery, and disease motivates the development of new biomaterials to enable tissue repair and regeneration. Emerging at the interface between bioadhesives and regenerative medicine, a new generation of regenerative bioadhesives is created to possess dual functions of seamless tissue adhesion and effective tissue repair. This bioadhesive innovation has wide clinical applications, ranging from wound management to the regeneration of musculoskeletal tissues such as tendons and intervertebral discs. This perspective covers the design principles of regenerative bioadhesives in considering both mechanical and biological elements. Case studies of regenerative bioadhesives for load‐bearing organs such as skin, tendon, and intervertebral discs are presented here. Finally, immediate opportunities and future perspectives are outlined to further advance the field of regenerative bioadhesives.

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“…distinguished the viscoelastic and poroelastic behaviors of brain tissues and proved that the brain tissue exhibited viscoelasticity in the short‐time regime and poroelasticity in the long‐time regime. [ 29 ] Previous studies reported that specific brain regions showed variability of stiffness in normal humans by magnetic resonance elastography (MRE), which is an imaging technique for noninvasively and quantitatively assessing tissue stiffness. [ 27a,30 ] Moreover, the measurement of MRE showed that the adult human brain appeared to be 3–4 times stiffer than the young child's brain.…”

Section: Physical Microenvironment In Neurogenesis Neurodevelopment A...mentioning

confidence: 99%

Engineering the Physical Microenvironment into Neural Organoids for Neurogenesis and Neurodevelopment

Li,

Sun,

Hou

et al. 2023

Small

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Understanding the signals from the physical microenvironment is critical for deciphering the processes of neurogenesis and neurodevelopment. The discovery of how surrounding physical signals shape human developing neurons is hindered by the bottleneck of conventional cell culture and animal models. Notwithstanding neural organoids provide a promising platform for recapitulating human neurogenesis and neurodevelopment, building neuronal physical microenvironment that accurately mimics the native neurophysical features is largely ignored in current organoid technologies. Here, it is discussed how the physical microenvironment modulates critical events during the periods of neurogenesis and neurodevelopment, such as neural stem cell fates, neural tube closure, neuronal migration, axonal guidance, optic cup formation, and cortical folding. Although animal models are widely used to investigate the impacts of physical factors on neurodevelopment and neuropathy, the important roles of human stem cell‐derived neural organoids in this field are particularly highlighted. Considering the great promise of human organoids, building neural organoid microenvironments with mechanical forces, electrophysiological microsystems, and light manipulation will help to fully understand the physical cues in neurodevelopmental processes. Neural organoids combined with cutting‐edge techniques, such as advanced atomic force microscopes, microrobots, and structural color biomaterials might promote the development of neural organoid‐based research and neuroscience.

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Distinguishing poroelasticity and viscoelasticity of brain tissue with time scale

Cited by 16 publications

References 84 publications

Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels

Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels

Designing Regenerative Bioadhesives for Tissue Repair and Regeneration

Engineering the Physical Microenvironment into Neural Organoids for Neurogenesis and Neurodevelopment

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