Budday, Silvia, Prof. Dr.-Ing.
Prof. Dr.-Ing. Silvia Budday
Short Bio
Silvia Budday, currently a Full Professor heading the Institute of Continuum Mechanics and Biomechanics (LKM), studied Mechanical Engineering at the Karlsruhe Institute of Technology (KIT), where she graduated with one of the four best Bachelor’s degrees in 2011 and the best Master’s degree of a female student in 2013. During her Master’s studies, she spent one year abroad at Purdue University, Indiana, USA, for which she received an international scholarship by the DAAD (German Academic Exchange Service). She was also a scholar of the German Academic Scholarship Foundation. She did her PhD on “The Role of Mechanics during Brain Development” at FAU supervised by Prof. Paul Steinmann in close collaboration with Prof. Ellen Kuhl at Stanford University and Prof. Gerhard Holzapfel at Graz University of Technology. She finished her PhD in December 2017 with “summa cum laude” and was awarded the GACM Best PhD Award (German Association for Computational Mechanics) and the ECCOMAS Best PhD Award for one of the two best PhD theses in the field of Computational Methods in Applied Sciences and Engineering in Europe in 2017. Furthermore, she received the Bertha Benz-Prize from the Daimler und Benz Stiftung as a woman visionary pioneer in engineering, and the 2017 Acta Journals Students Award. In July 2018, she received an Emerging Talents Initiative (ETI) Grant, and in October 2018 an Emerging Fields Initiative (EFI) Grant by the FAU. Since April 2019, she is leading a research group in the Emmy Noether-Programme by the German Research Foundation (DFG) on BRAIn mechaNIcs ACross Scales (BRAINIACS). In 2021, she was awarded the Heinz Maier-Leibnitz-Prize by the DFG and BMBF and the Richard-von-Mises-Prize by the International Association of Applied Mathematics and Mechanics (GAMM). In 2023, she received an ERC Starting Grant for her project “Mechanics-augmented brain surgery (MAGERY)”. Her work focuses on experimental and computational soft tissue biomechanics with special emphasis on brain mechanics and the relationship between brain structure and function.
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Exploring Brain Mechanics (EBM): Understanding, engineering and exploiting mechanical properties and signals in central nervous system development, physiology and pathology
(Third Party Funds Group – Overall project)
Term: 1. January 2023 - 31. December 2026
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)Thecentral nervous system (CNS) is our most complex organ system. Despite tremendousprogress in our understanding of the biochemical, electrical, and geneticregulation of CNS functioning and malfunctioning, many fundamental processesand diseases are still not fully understood. For example, axon growth patterns inthe developing brain can currently not be well-predicted based solely on thechemical landscape that neurons encounter, several CNS-related diseases cannotbe precisely diagnosed in living patients, and neuronal regeneration can stillnot be promoted after spinal cord injuries.
Duringmany developmental and pathological processes, neurons and glial cells aremotile. Fundamentally, motion is drivenby forces. Hence, CNS cells mechanicallyinteract with their surrounding tissue. They adhere to neighbouring cells and extracellular matrix using celladhesion molecules, which provide friction, and generate forces usingcytoskeletal proteins. These forces aretransmitted to the outside world not only to locomote but also to probe themechanical properties of the environment, which has a long overseen huge impacton cell function.
Onlyrecently, groups of several project leaders in this consortium, and a few other groupsworldwide, have discovered an important contribution of mechanical signalsto regulating CNS cell function. For example, they showed that brain tissuemechanics instructs axon growth and pathfinding in vivo, that mechanicalforces play an important role for cortical folding in the developing humanbrain, that the lack of remyelination in the aged brain is due to an increasein brain stiffness in vivo, and that many neurodegenerative diseases areaccompanied by changes in brain and spinal cord mechanics. These first insights strongly suggest thatmechanics contributes to many other aspects of CNS functioning, and it islikely that chemical and mechanical signals intensely interact at the cellularand tissue levels to regulate many diverse cellular processes.
The CRC 1540 EBM synergises the expertise of engineers, physicists,biologists, medical researchers, and clinicians in Erlangen to explore mechanicsas an important yet missing puzzle stone in our understanding of CNSdevelopment, homeostasis, and pathology. Our strongly multidisciplinary teamwith unique expertise in CNS mechanics integrates advanced invivo, in vitro, and in silico techniques across time(development, ageing, injury/disease) and length (cell, tissue, organ) scalesto uncover how mechanical forces and mechanical cell and tissue properties,such as stiffness and viscosity, affect CNS function. We especially focus on(A) cerebral, (B) spinal, and (C) cellular mechanics. Invivo and in vitro studies provide a basic understanding ofmechanics-regulated biological and biomedical processes in different regions ofthe CNS. In addition, they help identify key mechano-chemical factors forinclusion in in silico models and provide data for model calibration andvalidation. In silico models, in turn, allow us to test hypotheses without the need of excessive or even inaccessibleexperiments. In addition, they enable the transfer and comparison of mechanics data and findingsacross species and scales. They also empower us to optimise processparameters for the development of in vitro brain tissue-like matricesand in vivo manipulation of mechanical signals, and, eventually, pavethe way for personalised clinical predictions.
Insummary, we exploit mechanics-based approaches to advance ourunderstanding of CNS function and to provide the foundation for futureimprovement of diagnosis and treatment of neurological disorders.
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Biofabrizierte Gradienten für funktionale Ersatzgewebe (B09*)
(Third Party Funds Group – Sub project)
Overall project: TRR 225: Von den Grundlagen der Biofabrikation zu funktionalen Gewebemodellen
Term: since 1. January 2022
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)
URL: https://trr225biofab.de/project-b09/Ziel dieses Projekts ist es, eine Plattformtechnologie zu entwickeln, um in Raum und Zeit klar definierte und reproduzierbare Gradienten herzustellen, diese zu analysieren und in silico zu modellieren, um ihre Auswirkung auf Zell-Biomaterial-Interaktionen untersuchen zu können. Hierfür sollen zunächst Druckköpfe entwickelt werden, mit denen sich kontrolliert Übergänge von Materialien aus den A-/B-Projekten, Wirkstoffen und Zellen erzeugen lassen. Durch die umfassende Charakterisierung der gedruckten Gradienten mithilfe mechanischer Testmethoden in Kombination mit bildgebenden Verfahren wird das Ergebnis bezüglich der Anforderungen der C-Projekte stetig analysiert und verbessert. Zusätzlich werden kontinuumsmechanische Modellierung und Simulation gezielt eingesetzt, um Prozessparameter, das Druckmuster und die 3D-Anordung im Konstrukt zu optimieren.
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Experimente, Modellierung und Computersimulationen zur Charakterisierung des porösen und viskosen Verhaltens von menschlichen Gehirngewebe
(Third Party Funds Single)
Term: 1. July 2021 - 30. April 2024
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) -
Experimente, Modellierung und Computersimulationen zur Charakterisierung des porösen und viskosen Verhaltens von menschlichem Gehirngewebe
(Third Party Funds Single)
Term: 1. July 2021 - 30. April 2024
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) -
BRAIn mechaNIcs ACross Scales: Linking microstructure, mechanics and pathology
(Third Party Funds Single)
Term: 1. October 2019 - 30. September 2025
Funding source: DFG-Einzelförderung / Emmy-Noether-Programm (EIN-ENP)
URL: https://www.brainiacs.forschung.fau.de/The current research project aims to develop microstructurallymotivated mechanical models for brain tissue that facilitate early diagnosticsof neurodevelopmental or neurodegenerative diseases and enable the developmentof novel treatment strategies. In a first step, we will experimentallycharacterize the behavior of brain tissue across scales by using versatiletesting techniques on the same sample. Through an accompanying microstructuralanalysis of both cellular and extra-cellular components, we will evaluate thecomplex interplay of brain structure, mechanics and function. We will alsoexperimentally investigate dynamic changes in tissue properties duringdevelopment and disease, due to changes in the mechanical environment of cells (mechanosensing),or external loading. Based on the simultaneous analysis of experimental andmicrostructural data, we will develop microstructurally motivated constitutive lawsfor the regionally varying mechanical behavior of brain tissue. In addition, wewill develop evolution laws that predict remodeling processes duringdevelopment, homeostasis, and disease. Through the implementation within afinite element framework, we will simulate the behavior of brain tissue underphysiological and pathological conditions. We will predict how known biologicalprocesses on the cellular scale, such as changes in the tissue’smicrostructure, translate into morphological changes on the macroscopic scale,which are easily detectable through modern imaging techniques. We will analyzeprogression of disease or mechanically-induced loss of brain function. The novelexperimental procedures on the borderline of mechanics and biology, togetherwith comprehensive theoretical and computational models, will form thecornerstone for predictive simulations that improve early diagnostics of pathologicalconditions, advance medical treatment strategies, and reduce the necessity ofanimal and human tissue experimentation. The established methodology will furtheropen new pathways in the biofabrication of artificial organs.
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Novel Biopolymer Hydrogels for Understanding Complex Soft Tissue Biomechanics
(FAU Funds)
Term: 1. April 2019 - 31. March 2022
URL: https://www.biohydrogels.forschung.fau.de/Biological tissues such as blood vessels, skin, cartilage or nervous tissue provide vital functionality
to living organisms. Novel computational simulations of these tissues can provide insights
into their biomechanics during injury and disease that go far beyond traditional approaches. This
is of ever increasing importance in industrial and medical applications as numerical models will
enable early diagnostics of diseases, detailed planning and optimization of surgical procedures,
and not least will reduce the necessity of animal and human experimentation. However, the extreme
compliance of these, from a mechanical perspective, particular soft tissues stretches conventional
modeling and testing approaches to their limits. Furthermore, the diverse microstructure
has, to date, hindered their systematic mechanical characterization. In this project, we will, as a
novel perspective, categorize biological tissues according to their mechanical behavior and identify
biofabricated proxy (substitute) materials with similar properties to reduce challenges related
to experimental characterization of living tissues. We will further develop appropriate mathematical
models that allow us to computationally predict the tissue response based on these proxy
materials. Collectively, we will provide a catalogue of biopolymeric proxy materials for different
soft tissues with corresponding modeling approaches. As a prospect, this will significantly facilitate
the choice of appropriate materials for 3D biofabrication of artificial organs, as well as modeling
approaches for predictive simulations. These form the cornerstone of advanced medical
treatment strategies and engineering design processes, leveraging virtual prototyping. -
Multiscale modeling of nervous tissue: comprehensively linking microstructure, pathology, and mechanics
(FAU Funds)
Term: 1. July 2018 - 30. June 2019 -
Modeling and computation of growth in soft biological matter
(Third Party Funds Single)
Term: 1. February 2014 - 30. June 2020
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
2025
Dynamic traction force measurements of migrating immune cells in 3D matrices
(2025)
DOI: 10.1101/2022.11.16.516758
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Immune cells employ intermittent integrin-mediated traction forces for 3D migration
(2025)
DOI: 10.1101/2023.04.20.537658
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2024
Accuracy meets simplicity: A constitutive model for heterogenous brain tissue
In: Journal of the Mechanical Behavior of Biomedical Materials 150 (2024), Article No.: 106271
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2023.106271
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A comparison of brain retraction mechanisms using finite element analysis and the effects of regionally heterogeneous material properties
In: Biomechanics and Modeling in Mechanobiology 23 (2024), p. 793-808
ISSN: 1617-7959
DOI: 10.1007/s10237-023-01806-2
, , :
Identifying composition-mechanics relations in human brain tissue based on neural-network-enhanced inverse parameter identification
In: Mathematics and Mechanics of Solids (2024)
ISSN: 1081-2865
DOI: 10.1177/10812865231206544
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Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue
In: Frontiers in Physiology 15 (2024), Article No.: 1321298
ISSN: 1664-042X
DOI: 10.3389/fphys.2024.1321298
, , , :
Engineering peptide-modified alginate-based bioinks with cell-adhesive properties for biofabrication
In: RSC Advances 14 (2024), p. 13769-13786
ISSN: 2046-2069
DOI: 10.1039/d3ra08394b
, , , , , , , , :
Breast Tumor Cell Survival and Morphology in a Brain-like Extracellular Matrix Depends on Matrix Composition and Mechanical Properties
In: Advanced Biology 8 (2024), Article No.: 2400184
ISSN: 2701-0198
DOI: 10.1002/adbi.202400184
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2023
Predicting the hyperelastic properties of alginate-gelatin hydrogels and 3D bioprinted mesostructures
In: Scientific Reports 13 (2023), Article No.: 21858
ISSN: 2045-2322
DOI: 10.1038/s41598-023-48711-3
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Multilayer 3D bioprinting and complex mechanical properties of alginate-gelatin mesostructures
In: Scientific Reports 13 (2023), p. 11253-
ISSN: 2045-2322
DOI: 10.1038/s41598-023-38323-2
, , , :
Simulating the mechanical stimulation of cells on a porous hydrogel scaffold using an FSI model to predict cell differentiation
In: Frontiers in Bioengineering and Biotechnology 11 (2023), Article No.: 1249867
ISSN: 2296-4185
DOI: 10.3389/fbioe.2023.1249867
, , , :
Mechanical behavior of the hippocampus and corpus callosum: An attempt to reconcile ex vivo with in vivo and micro with macro properties
In: Journal of the Mechanical Behavior of Biomedical Materials 138 (2023), Article No.: 105613
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2022.105613
, , , , , , , , , , , , , :
Exploring human brain mechanics by combining experiments, modeling, and simulation
In: Brain Multiphysics 5 (2023), Article No.: 100076
ISSN: 2666-5220
DOI: 10.1016/j.brain.2023.100076
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Fiber alignment in 3D collagen networks as a biophysical marker for cell contractility
In: Matrix Biology 124 (2023), p. 39-48
ISSN: 0945-053X
DOI: 10.1016/j.matbio.2023.11.004
, , , , , , , , , , , , , , , , :
Reinforcing Tissue-Engineered Cartilage: Nanofibrillated Cellulose Enhances Mechanical Properties of Alginate Dialdehyde–Gelatin Hydrogel
In: Advanced Engineering Materials (2023)
ISSN: 1438-1656
DOI: 10.1002/adem.202300641
, , , , , :
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
In: Journal of the Mechanics and Physics of Solids 180 (2023), Article No.: 105404
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2023.105404
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On the importance of using region-dependent material parameters for full-scale human brain simulations
In: European Journal of Mechanics A-Solids 99 (2023), Article No.: 104910
ISSN: 0997-7538
DOI: 10.1016/j.euromechsol.2023.104910
, , , :
Inverse identification of region-specific hyperelastic material parameters for human brain tissue
In: Biomechanics and modeling in mechanobiology (2023)
ISSN: 1617-7940
DOI: 10.1007/s10237-023-01739-w
, , , , , :
Inverse identification of region-specific hyperelastic material parameters for human brain tissue
In: Biomechanics and Modeling in Mechanobiology (2023)
ISSN: 1617-7959
DOI: 10.1007/s10237-023-01739-w
, , , , , :
Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels
In: Frontiers in Bioengineering and Biotechnology 11 (2023), Article No.: 1143304
ISSN: 2296-4185
DOI: 10.3389/fbioe.2023.1143304
, , , , , , , , :
Mechanisms of mechanical load transfer through brain tissue
In: Scientific Reports 13 (2023), Article No.: 8703
ISSN: 2045-2322
DOI: 10.1038/s41598-023-35768-3
, , :
Modeling the finite viscoelasticity of human brain tissue based on microstructural information
In: Proceedings in Applied Mathematics and Mechanics (2023)
ISSN: 1617-7061
DOI: 10.1002/pamm.202300234
, , , , :
Dried Vegetables as Potential Clean-Label Phosphate Substitutes in Cooked Sausage Meat
In: Foods 12 (2023), Article No.: 1960
ISSN: 2304-8158
DOI: 10.3390/foods12101960
, , , , :
Time-dependent hyper-viscoelastic parameter identification of human articular cartilage and substitute materials
In: Journal of the Mechanical Behavior of Biomedical Materials 138 (2023), Article No.: 105618
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2022.105618
, , , , , :
Exploring the role of the outer subventricular zone during cortical folding through a physics-based model
In: eLife 12 (2023)
ISSN: 2050-084X
DOI: 10.7554/eLife.82925
, , :
Multifield computational model for human brain development: Explicit numerical stabilization
In: Proceedings in Applied Mathematics and Mechanics (2023)
ISSN: 1617-7061
DOI: 10.1002/pamm.202300288
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2022
Tissue-Scale Biomechanical Testing of Brain Tissue for the Calibration of Nonlinear Material Models
In: Current Protocols 2 (2022), p. e381-
ISSN: 2691-1299
DOI: 10.1002/cpz1.381
, , , , :
Finite element modeling of traumatic brain injury: Areas of future interest
In: Current Opinion in Biomedical Engineering 24 (2022), Article No.: 100421
ISSN: 2468-4511
DOI: 10.1016/j.cobme.2022.100421
, :
Reinforced Hyaluronic Acid-Based Matrices Promote 3D Neuronal Network Formation
In: Advanced Healthcare Materials (2022)
ISSN: 2192-2640
DOI: 10.1002/adhm.202201826
, , , , , , , , , , , , , , :
Oxidized Hyaluronic Acid-Gelatin-Based Hydrogels for Tissue Engineering and Soft Tissue Mimicking
In: Tissue Engineering - Part C: Methods (2022)
ISSN: 1937-3384
DOI: 10.1089/ten.tec.2022.0004
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Biomechanical analysis of the cervical spine segment as a method for studying the functional and dynamic anatomy of the human neck
In: Annals of Anatomy-Anatomischer Anzeiger 240 (2022), Article No.: 151856
ISSN: 0940-9602
DOI: 10.1016/j.aanat.2021.151856
, , , , , , , , , , , , :
Hyperelastic parameter identification of human articular cartilage and substitute materials
In: Journal of the Mechanical Behavior of Biomedical Materials 133 (2022)
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2022.105292
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2021
Neocortical development and epilepsy: insights from focal cortical dysplasia and brain tumours
In: Lancet Neurology 20 (2021), p. 943-955
ISSN: 1474-4422
DOI: 10.1016/S1474-4422(21)00265-9
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Editorial: Advances in Brain Mechanics
In: Frontiers in Mechanical Engineering 7 (2021)
ISSN: 2297-3079
DOI: 10.3389/fmech.2021.803151
, , :
Mechanical properties of cell- and microgel bead-laden oxidized alginate-gelatin hydrogels
In: Biomaterials Science (2021), Article No.: d0bm02117b
ISSN: 2047-4830
DOI: 10.1039/D0BM02117B
URL: https://pubs.rsc.org/en/content/articlelanding/2021/bm/d0bm02117b
, , , , , , , , , :
Spinal Cord Neuronal Network Formation in a 3D Printed Reinforced Matrix—A Model System to Study Disease Mechanisms
In: Advanced Healthcare Materials (2021)
ISSN: 2192-2640
DOI: 10.1002/adhm.202100830
URL: https://onlinelibrary.wiley.com/doi/10.1002/adhm.202100830?af=R
, , , , , , :
Physical aspects of cortical folding
In: Soft Matter (2021)
ISSN: 1744-683X
DOI: 10.1039/d0sm02209h
, , :
Poro-Viscoelastic Effects During Biomechanical Testing of Human Brain Tissue
In: Frontiers in Mechanical Engineering 7 (2021), Article No.: 708350
ISSN: 2297-3079
DOI: 10.3389/fmech.2021.708350
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Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning
In: Frontiers in Bioengineering and Biotechnology 9 (2021)
ISSN: 2296-4185
DOI: 10.3389/fbioe.2021.704738
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Spatiotemporal modeling of first and second wave outbreak dynamics of COVID‐19 in Germany
In: Biomechanics and Modeling in Mechanobiology (2021)
ISSN: 1617-7959
DOI: 10.1007/s10237-021-01520-x
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Insights into the Microstructural Origin of Brain Viscoelasticity
In: Journal of Elasticity 145 (2021), p. 99-116
ISSN: 0374-3535
DOI: 10.1007/s10659-021-09814-y
URL: https://link.springer.com/article/10.1007/s10659-021-09814-y
, , , :
A two-field computational model couples cellular brain development with cortical folding
In: Brain Multiphysics 2 (2021), p. 100025
ISSN: 2666-5220
DOI: 10.1016/j.brain.2021.100025
, , , , :
Exploring the interplay between cellular development and mechanics in the developing human brain
In: Proceedings in Applied Mathematics and Mechanics 21 (2021), Article No.: e202100104
ISSN: 1617-7061
DOI: 10.1002/pamm.202100104
, , , , :
2020
Modeling the life cycle of the human brain
In: Current Opinion in Biomedical Engineering (2020)
ISSN: 2468-4511
DOI: 10.1016/j.cobme.2019.12.009
URL: https://www.sciencedirect.com/science/article/pii/S2468451119300832?via=ihub
, :
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
In: Archives of Computational Methods in Engineering 27 (2020), p. 1187–1230
ISSN: 1134-3060
DOI: 10.1007/s11831-019-09352-w
URL: https://link.springer.com/article/10.1007/s11831-019-09352-w
, , , , :
Towards microstructure-informed material models for human brain tissue
In: Acta Biomaterialia 104 (2020), p. 53-65
ISSN: 1742-7061
DOI: 10.1016/j.actbio.2019.12.030
URL: https://www.sciencedirect.com/science/article/pii/S1742706119308682?via=ihub
, , , , , , , , , , :
Modeling the porous and viscous responses of human brain tissue behavior
In: Computer Methods in Applied Mechanics and Engineering 369 (2020), Article No.: 113128
ISSN: 0045-7825
DOI: 10.1016/j.cma.2020.113128
URL: https://www.sciencedirect.com/science/article/pii/S0045782520303133
, , , , :
Alginate-based hydrogels show the same complex mechanical behavior as brain tissue
In: Journal of the Mechanical Behavior of Biomedical Materials 111 (2020), Article No.: 103979
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2020.103979
URL: https://www.sciencedirect.com/science/article/abs/pii/S1751616120305312
, , , , :
Folding drives cortical thickness variations
In: European Physical Journal - Special Topics 229 (2020), p. 2757-2778
ISSN: 1951-6355
DOI: 10.1140/epjst/e2020-000001-6
, , , , , :
Memory-based meso-scale modeling of Covid-19
In: Computational Mechanics (2020)
ISSN: 0178-7675
DOI: 10.1007/s00466-020-01883-5
, , , , , , , :
Complex mechanical behavior of human articular cartilage and hydrogels for cartilage repair
In: Acta Biomaterialia (2020)
ISSN: 1742-7061
DOI: 10.1016/j.actbio.2020.10.025
URL: https://www.sciencedirect.com/science/article/pii/S1742706120306140
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2019
Challenges and perspectives in brain tissue testing and modeling
In: Proceedings in Applied Mathematics and Mechanics accepted (2019)
ISSN: 1617-7061
DOI: 10.1002/pamm.201900269
, , , :
2018
The origin of compression influences geometric instabilities in bilayers
In: Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences (2018)
ISSN: 1364-5021
DOI: 10.1098/rspa.2018.0267
, , :
The Role of Mechanics during Brain Development (Dissertation, 2018)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/year/2018/docId/9298
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Region‐ and loading‐specific finite viscoelasticity of human brain tissue
In: Proceedings in Applied Mathematics and Mechanics 18 (2018), Article No.: e201800169
ISSN: 1617-7061
DOI: 10.1002/pamm.201800169
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Symmetry Breaking in Wrinkling Patterns: Gyri Are Universally Thicker than Sulci
In: Physical Review Letters 121 (2018), Article No.: 228002
ISSN: 0031-9007
DOI: 10.1103/PhysRevLett.121.228002
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2017
Wrinkling instabilities in soft bi-layered systems
In: Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences 375 (2017)
ISSN: 1364-503X
DOI: 10.1098/rsta.2016.0163
, , , , :
Mechanical characterization of human brain tissue
In: Acta Biomaterialia 48 (2017), p. 319–340
ISSN: 1742-7061
DOI: 10.1016/j.actbio.2016.10.036
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Rheological characterization of human brain tissue
In: Acta Biomaterialia (2017)
ISSN: 1742-7061
DOI: 10.1016/j.actbio.2017.06.024
, , , , , :
Viscoelastic parameter identification of human brain tissue
In: Journal of the Mechanical Behavior of Biomedical Materials 74 (2017), p. 463-476
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2017.07.014
, , , , :
On the influence of inhomogeneous stiffness and growth on mechanical instabilities in the developing brain
In: International Journal of Solids and Structures (2017)
ISSN: 0020-7683
DOI: 10.1016/j.ijsolstr.2017.08.010
, :
A family of hyperelastic models for human brain tissue
In: Journal of the Mechanics and Physics of Solids 106 (2017), p. 60-79
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2017.05.015
, , , , :
The mechanical importance of myelination in the central nervous system
In: Journal of the Mechanical Behavior of Biomedical Materials (2017)
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2017.04.017
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2016
Brain stiffness increases with myelin content
In: Acta Biomaterialia (2016), p. 265–272
ISSN: 1742-7061
DOI: 10.1016/j.actbio.2016.07.040
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2015
Period-doubling and period-tripling in growing bilayered systems
In: Philosophical Magazine - (2015), p. 1-17
ISSN: 1478-6443
DOI: 10.1080/14786435.2015.1014443
, , :
Mechanical properties of gray and white matter brain tissue by indentation
In: Journal of the Mechanical Behavior of Biomedical Materials (2015), p. 318-330
ISSN: 1751-6161
DOI: 10.1016/j.jmbbm.2015.02.024
, , , , , , :
Size and curvature regulate pattern selection in the mammalian brain
In: Extreme Mechanics Letters 4 (2015), p. 193-198
ISSN: 2352-4316
DOI: 10.1016/j.eml.2015.07.004
, , , :
Physical biology of human brain development
In: Frontiers in Cellular Neuroscience 9 (2015), p. 1-13
ISSN: 1662-5102
DOI: 10.3389/fncel.2015.00257
, , :
Secondary instabilities modulate cortical complexity in the mammalian brain
In: Philosophical Magazine 95 (2015), p. 3244–3256
ISSN: 1478-6435
DOI: 10.1080/14786435.2015.1024184
, , :
Primary and secondary instabilities in soft bilayered systems
GAMM Jahrestagung (Lecce)
In: PAMM, Weinheim: 2015
DOI: 10.1002/pamm.201510131
, , , :
Chapter two-neuromechanics: From neurons to brain
In: Advances in Applied Mechanics 48 (2015), p. 79--139
ISSN: 0065-2156
DOI: 10.1016/bs.aams.2015.10.002
, , :
2014
A mechanical model predicts morphological abnormalities in the developing human brain
In: Scientific Reports 4 (2014)
ISSN: 2045-2322
DOI: 10.1038/srep05644
, , :
A mechanical approach to explain cortical folding phenomena in healthy and diseased brains
GAMM 2014 (Erlangen, Germany, 10. March 2014 - 14. March 2014)
In: PAMM, Erlangen, Germany: 2014
DOI: 10.1002/pamm.201410038
, , :
The role of mechanics during brain development
In: Journal of the Mechanics and Physics of Solids 72 (2014), p. 75-92
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2014.07.010
, , :
Laboratory Training Biomechanics
since 2023
Biomechanics
2018 – 2023
Linear Continuum Mechanics
Winter term 2019/2020
Introduction to Neuromechanics
Summer terms 2016 and 2019