The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
The impact of aging and gender on brain viscoelasticity
Abstract
Viscoelasticity is a sensitive measure of the microstructural constitution of soft biological tissue and is increasingly used as a diagnostic marker, e.g. in staging liver fibrosis or characterizing breast tumors. In this study, multifrequency magnetic resonance elastography was used to investigate the in vivo viscoelasticity of healthy human brain in 55 volunteers (23 females) ranging in age from 18 to 88 years. The application of four vibration frequencies in an acoustic range from 25 to 62.5 Hz revealed for the first time how physiological aging changes the global viscosity and elasticity of the brain. Using the rheological springpot model, viscosity and elasticity are combined in a parameter mu that describes the solid-fluid behavior of the tissue and a parameter alpha related to the tissue's microstructure. It is shown that the healthy adult brain undergoes steady parenchymal 'liquefaction' characterized by a continuous decline in mu of 0.8% per year (P<0.001), whereas alpha remains unchanged. Furthermore, significant sex differences were found with female brains being on average 9% more solid-like than their male counterparts rendering women more than a decade 'younger' than men with respect to brain mechanics (P=0.016). These results set the background for using cerebral multifrequency elastography in diagnosing subtle neurodegenerative processes not detectable by other diagnostic methods.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Aging-associated neuroanatomical changes also revealed sexual dimorphism in that males were likely to undergo greater reduction in brain elasticity and stiffness than their female counterparts (Arani et al, 2015;Sack et al, 2009).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Sack et al, 2009
Citations
Cites
Tissue Cells Feel and Respond to the Stiffness of Their Substrate
Discher, D. E., Janmey, P., & Wang, Y.-L. (2005) · Science · doi:10.1126/science.1116995 · Cited by 6,382
Biomechanics. Mechanical Properties of Living Tissues
Fung, Y. C., & Skalak, R. (1982) · Journal of Applied Mechanics · doi:10.1115/1.3162171 · Cited by 6,040
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
A tension-based theory of morphogenesis and compact wiring in the central nervous system
Essen, D. C. V. (1997) · Nature · doi:10.1038/385313a0 · Cited by 1,668
Applications of Fractional Calculus to the Theory of Viscoelasticity
Koeller, R. C. (1984) · Journal of Applied Mechanics · doi:10.1115/1.3167616 · Cited by 1,456
Life and Death of Neurons in the Aging Brain
Morrison, J. H., & Hof, P. R. (1997) · Science · doi:10.1126/science.278.5337.412 · Cited by 1,344
The Phenomenological Theory of Linear Viscoelastic Behavior
Tschoegl, N. W. (1989) · Springer eBooks · doi:10.1007/978-3-642-73602-5 · Cited by 1,337
Dekaban, A. S., & Sadowsky, D. (1978) · Annals of Neurology · doi:10.1002/ana.410040410 · Cited by 1,014
Neocortical cell counts in normal human adult aging
Terry, R. D., DeTeresa, R. M., & Hansen, L. A. (1987) · Annals of Neurology · doi:10.1002/ana.410210603 · Cited by 686
Neocortical glial cell numbers in human brains
Pelvig, D. P., Pakkenberg, H., Stark, A. K., & Pakkenberg, B. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.04.013 · Cited by 601
Research works printed but not linked: 2
- Klatt, 2008, Assessment of the solid–liquid behavior of the liver for the diagnosis of diffuse disease using magnetic resonance elastography, Röfo, 180, 1106
- Wuerfel, 2008, elastography reveals tissue degeneration in Multiple Sclerosis patients. In: Proceedings 16th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto, 1547
Cited by
Sorted by citations
Effects of extracellular matrix viscoelasticity on cellular behaviour
Chaudhuri, O., Cooper-White, J., Janmey, P. A., Mooney, D. J., & Shenoy, V. B. (2020) · Nature · doi:10.1038/s41586-020-2612-2 · Cited by 2,224
Materials and technologies for soft implantable neuroprostheses
Lacour, S. P., Courtine, G., & Guck, J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.63 · Cited by 738
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
Budday, S., Ovaert, T. C., Holzapfel, G. A., Steinmann, P., & Ellen Kuhl, A. (2019) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09352-w · Cited by 473
Microglia Priming with Aging and Stress
Niraula, A., Sheridan, J. F., & Godbout, J. P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.185 · Cited by 398
Decreased brain stiffness in Alzheimer's disease determined by magnetic resonance elastography
Murphy, M. C., Huston, J., Jack, C. R., Glaser, K. J., Manduca, A., Felmlee, J. P., & Ehman, R. L. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22707 · Cited by 364
Fifty years of brain tissue mechanical testing: From in vitro to in vivo investigations
Chatelin, S., Constantinesco, A., & Willinger, R. (2010) · Biorheology · doi:10.3233/bir-2010-0576 · Cited by 342
Model-based elastography: a survey of approaches to the inverse elasticity problem
Doyley, M. M. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/3/r35 · Cited by 320
Mechanics in Neuronal Development and Repair
Franze, K., Janmey, P. A., & Guck, J. R. (2013) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071811-150045 · Cited by 322
MR-elastography reveals degradation of tissue integrity in multiple sclerosis
Wuerfel, J. T., Paul, F., Beierbach, B., Hamhaber, U., Klatt, D., Papazoglou, S., Zipp, F., Martus, P., Braun, J., & Sack, I. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.018 · Cited by 310
Self-citationMultifaceted Design and Emerging Applications of Tissue Adhesives
Ma, Z., Bao, G., & Li, J. (2021) · Advanced Materials · doi:10.1002/adma.202007663 · Cited by 271
Brain stiffness increases with myelin content
Weickenmeier, J., de Rooij, R., Budday, S., Steinmann, P., Ovaert, T. C., & Ellen Kuhl, A. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2016.07.040 · Cited by 268
Review of MR elastography applications and recent developments
Glaser, K. J., Manduca, A., & Ehman, R. L. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23597 · Cited by 255
Brain Viscoelasticity Alteration in Chronic-Progressive Multiple Sclerosis
Streitberger, K., Sack, I., Krefting, D., Pfueller, C. F., Braun, J., Paul, F., & Wuerfel, J. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029888 · Cited by 238
Self-citationArani, A., Murphy, M. C., Glaser, K. J., Manduca, A., Lake, D. S., Kruse, S. A., Jack, C. R., Ehman, R. L., & Huston, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.016 · Cited by 236
Hiscox, L. V., Johnson, C. L., Barnhill, E., McGarry, M., Huston, J., van Beek, E. J. R., Starr, J. M., & Roberts, N. (2016) · Physics in Medicine and Biology · doi:10.1088/0031-9155/61/24/r401 · Cited by 244
Viscoelasticity-based Staging of Hepatic Fibrosis with Multifrequency MR Elastography
Asbach, P., Klatt, D., Schlosser, B., Biermer, M., Muche, M., Rieger, A., Loddenkemper, C., Somasundaram, R., Berg, T., Hamm, B., et al. (2010) · Radiology · doi:10.1148/radiol.10092489 · Cited by 229
Self-citationSchregel, K., Tysiak, E., Garteiser, P., Gemeinhardt, I., Prozorovski, T., Aktaş, O., Merz, H., Petersen, D., Wuerfel, J. T., & Sinkus, R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200151109 · Cited by 228
Self-citationAcoustic Waves in Medical Imaging and Diagnostics
Sarvazyan, A. P., Urban, M. W., & Greenleaf, J. F. (2013) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2013.02.006 · Cited by 224
The mechanical control of nervous system development
Franze, K. (2013) · Development · doi:10.1242/dev.079145 · Cited by 236
Measurement of the hyperelastic properties of ex vivo brain tissue slices
Kaster, T., Sack, I., & Samani, A. (2011) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2011.01.019 · Cited by 223
Self-citationRho GTPases Mediate the Mechanosensitive Lineage Commitment of Neural Stem Cells
Keung, A. J., De‐Juan‐Pardo, E. M., Schaffer, D. V., & Kumar, S. (2011) · Stem Cells · doi:10.1002/stem.746 · Cited by 213
Viscoelastic Cell Microenvironment: Hydrogel‐Based Strategy for Recapitulating Dynamic ECM Mechanics
Ma, Y., Han, T., Yang, Q., Wang, J., Feng, B., Jia, Y., Zhao, W., & Xu, F. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202100848 · Cited by 215
Regional brain stiffness changes across the Alzheimer's disease spectrum
Murphy, M. C., Jones, D. T., Jack, C. R., Glaser, K. J., Senjem, M. L., Manduca, A., Felmlee, J. P., Carter, R. E., Ehman, R. L., & Huston, J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.12.007 · Cited by 215
Local mechanical properties of white matter structures in the human brain
Johnson, C. L., McGarry, M., Gharibans, A. A., Weaver, J. B., Paulsen, K. D., Wang, H., Olivero, W. C., Sutton, B. P., & Georgiadis, J. G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.089 · Cited by 202
MR elastography of the brain and its application in neurological diseases
Murphy, M. C., Huston, J., & Ehman, R. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.008 · Cited by 210
Sack, I., Jöhrens, K., Wuerfel, J. T., & Braun, J. (2013) · Soft Matter · doi:10.1039/c3sm50552a · Cited by 195
Self-citationThe Influence of Physiological Aging and Atrophy on Brain Viscoelastic Properties in Humans
Sack, I., Streitberger, K., Krefting, D., Paul, F., & Braun, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023451 · Cited by 190
Self-citationPreoperative assessment of meningioma stiffness using magnetic resonance elastography
Murphy, M. C., Huston, J., Glaser, K. J., Manduca, A., Meyer, F. B., Lanzino, G. S., Morris, J. M., Felmlee, J. P., & Ehman, R. L. (2012) · Journal of neurosurgery · doi:10.3171/2012.9.jns12519 · Cited by 188
Magnetic Resonance Elastography of Liver
Venkatesh, S. K., & Ehman, R. L. (2014) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2014.05.001 · Cited by 178
High-Resolution Mechanical Imaging of Glioblastoma by Multifrequency Magnetic Resonance Elastography
Streitberger, K., Reiss-Zimmermann, M., Freimann, F. B., Bayerl, S., Guo, J., Arlt, F., Wuerfel, J. T., Braun, J., Hoffmann, K., & Sack, I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110588 · Cited by 172
Self-citationIn vivo viscoelastic properties of the brain in normal pressure hydrocephalus
Streitberger, K., Wiener, E., Hoffmann, J., Freimann, F. B., Klatt, D., Braun, J., Lin, K., McLaughlin, J. R., Sprung, C., Klingebiel, R., et al. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1602 · Cited by 172
Self-citationViscoelasticity in natural tissues and engineered scaffolds for tissue reconstruction
Huang, D., Huang, Y. X., Xiao, Y., Yang, X., Lin, H., Feng, G., Zhu, X., & Zhang, X. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.08.013 · Cited by 177
Magnetic resonance elastography from fundamental soft-tissue mechanics to diagnostic imaging
Sack, I. (2022) · Nature Reviews Physics · doi:10.1038/s42254-022-00543-2 · Cited by 165
Self-citationMultiresolution MR elastography using nonlinear inversion
McGarry, M., Houten, E. E. W. V., Johnson, C. L., Georgiadis, J. G., Sutton, B. P., Weaver, J. B., & Paulsen, K. D. (2012) · Medical Physics · doi:10.1118/1.4754649 · Cited by 158
The biophysics of neuronal growth
Franze, K., & Guck, J. R. (2010) · Reports on Progress in Physics · doi:10.1088/0034-4885/73/9/094601 · Cited by 158
Constitutive Modeling of Brain Tissue: Current Perspectives
de Rooij, R., & Ellen Kuhl, A. (2016) · Applied Mechanics Reviews · doi:10.1115/1.4032436 · Cited by 144
Mechanobiology of the brain in ageing and Alzheimer's disease
Hall, C. M., Moeendarbary, E., & Sheridan, G. K. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14766 · Cited by 140
Long-term changes in the material properties of brain tissue at the implant–tissue interface
Sridharan, A., Rajan, S. D., & Muthuswamy, J. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066001 · Cited by 133
Towards an Elastographic Atlas of Brain Anatomy
Guo, J., Hirsch, S., Fehlner, A., Papazoglou, S., Scheel, M., Braun, J., & Sack, I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071807 · Cited by 129
Self-citationA causal and fractional all-frequency wave equation for lossy media
Holm, S., & Näsholm, S. P. (2011) · The Journal of the Acoustical Society of America · doi:10.1121/1.3631626 · Cited by 129
Tully, B., & Ventikos, Y. (2010) · Journal of Fluid Mechanics · doi:10.1017/s0022112010004428 · Cited by 129
Nonconventional MRI and microstructural cerebral changes in multiple sclerosis
on behalf of the MAGNIMS study group, Enzinger, C., Barkhof, F., Ciccarelli, O., Filippi, M., Kappos, L., Rocca, M. A., Ropele, S., Rovira, À., Schneider, T., et al. (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.194 · Cited by 137
Self-citationTonge, T. K., Atlan, L. S., Voo, L. M., & Nguyen, T. D. (2012) · Acta Biomaterialia · doi:10.1016/j.actbio.2012.11.035 · Cited by 127
In vivo waveguide elastography of white matter tracts in the human brain
Romano, A. J., Scheel, M., Hirsch, S., Braun, J., & Sack, I. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24141 · Cited by 126
Self-citationHydrogels for brain repair after stroke: an emerging treatment option
Nih, L. R., Carmichael, S. T., & Segura, T. (2016) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2016.04.021 · Cited by 123
Multifrequency inversion in magnetic resonance elastography
Papazoglou, S., Hirsch, S., Braun, J., & Sack, I. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/8/2329 · Cited by 121
Self-citationAdvancing models of neural development with biomaterials
Roth, J. G., Huang, M. S., Li, T. L., Feig, V. R., Jiang, Y., Cui, B., Greely, H. T., Bao, Z., Pașca, S. P., & Heilshorn, S. C. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00496-y · Cited by 122
Tunable hydrogel viscoelasticity modulates human neural maturation
Roth, J. G., Huang, M. S., Navarro, R. S., Akram, J., LeSavage, B. L., & Heilshorn, S. C. (2023) · Science Advances · doi:10.1126/sciadv.adh8313 · Cited by 122
Hiscox, L. V., Johnson, C. L., McGarry, M. D. J., Perrins, M., Littlejohn, A., van Beek, E. J. R., Roberts, N., & Starr, J. M. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.01.010 · Cited by 118
The future of neuroscience: flexible and wireless implantable neural electronics
McGlynn, E., Nabaei, V., Ren, E., Galeote‐Checa, G., Das, R., Curia, G., & Heidari, H. (2021) · Advanced Science · doi:10.1002/advs.202002693 · Cited by 115
Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography
Clayton, E. H., Garbow, J. R., & Bayly, P. V. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/8/005 · Cited by 115
Mechanics in the nervous system: From development to disease
Pillai, E. K., & Franze, K. (2023) · Neuron · doi:10.1016/j.neuron.2023.10.005 · Cited by 126
On a fractional Zener elastic wave equation
Näsholm, S. P., & Holm, S. (2012) · Fractional Calculus and Applied Analysis · doi:10.2478/s13540-013-0003-1 · Cited by 113
Viscoelastic properties of human cerebellum using magnetic resonance elastography
Zhang, J. H., Green, M. A., Sinkus, R., & Bilston, L. E. (2011) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2011.04.034 · Cited by 112
Alteration of brain viscoelasticity after shunt treatment in normal pressure hydrocephalus
Freimann, F. B., Streitberger, K., Klatt, D., Lin, K., McLaughlin, J. R., Braun, J., Sprung, C., & Sack, I. (2011) · Neuroradiology · doi:10.1007/s00234-011-0871-1 · Cited by 112
Self-citationRiek, K., Millward, J. M., Hamann, I., Mueller, S. G., Pfueller, C. F., Paul, F., Braun, J., Infante‐Duarte, C., & Sack, I. (2012) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.09.003 · Cited by 112
Self-citationReiss-Zimmermann, M., Streitberger, K., Sack, I., Braun, J., Arlt, F., Fritzsch, D., & Hoffmann, K. (2014) · Clinical Neuroradiology · doi:10.1007/s00062-014-0311-9 · Cited by 110
Self-citationMagnetic resonance elastography (MRE) in cancer: Technique, analysis, and applications
Pepin, K. M., Ehman, R. L., & McGee, K. P. (2015) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2015.06.001 · Cited by 111
Weickenmeier, J., Kurt, M., Ozkaya, E., de Rooij, R., Ovaert, T. C., Ehman, R. L., Butts, K., & Ellen Kuhl, A. (2018) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2018.04.009 · Cited by 108
Aging brain mechanics: Progress and promise of magnetic resonance elastography
Hiscox, L. V., Schwarb, H. D., McGarry, M., & Johnson, C. L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117889 · Cited by 112
MR elastography of liver: current status and future perspectives
İdilman, İ. S., Li, J., Yin, M., & Venkatesh, S. K. (2020) · Abdominal Radiology · doi:10.1007/s00261-020-02656-7 · Cited by 104
Viscoelasticity of subcortical gray matter structures
Johnson, C. L., Schwarb, H. D., McGarry, M., Anderson, A. T., Huesmann, G., Sutton, B. P., & Cohen, N. J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23314 · Cited by 103
Viscoelasticity-based MR elastography of skeletal muscle
Klatt, D., Papazoglou, S., Braun, J., & Sack, I. (2010) · Physics in Medicine and Biology · doi:10.1088/0031-9155/55/21/007 · Cited by 103
Self-citationOkamoto, R. J., Clayton, E. H., & Bayly, P. V. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/19/014 · Cited by 103
Brain mechanical property measurement using MRE with intrinsic activation
Weaver, J. B., Pattison, A. J., McGarry, M. D., Perreard, I. M., Swienckowski, J. G., Eskey, C. J., Lollis, S. S., & Paulsen, K. D. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/22/7275 · Cited by 102
Johnson, C. L., Holtrop, J. L., McGarry, M., Weaver, J. B., Paulsen, K. D., Georgiadis, J. G., & Sutton, B. P. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25065 · Cited by 100
Cerebral magnetic resonance elastography in supranuclear palsy and idiopathic Parkinson's disease
Lipp, A., Trbojevic, R., Paul, F., Fehlner, A., Hirsch, S., Scheel, M., Noack, C., Braun, J., & Sack, I. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.09.006 · Cited by 100
Self-citationMedial temporal lobe viscoelasticity and relational memory performance
Schwarb, H., Johnson, C. L., McGarry, M. D. J., & Cohen, N. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.059 · Cited by 100
Gerischer, L. M., Fehlner, A., Köbe, T., Prehn, K., Antonenko, D., Grittner, U., Braun, J., Sack, I., & Flöel, A. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.023 · Cited by 101
Self-citationStandard‐space atlas of the viscoelastic properties of the human brain
Hiscox, L. V., McGarry, M., Schwarb, H. D., Houten, E. E. W. V., Pohlig, R. T., Roberts, N., Huesmann, G., Burzynska, A. Z., Sutton, B. P., Hillman, C. H., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25192 · Cited by 94
Towards child versus adult brain mechanical properties
Chatelin, S., Vappou, J., Roth, S., Raul, J., & Willinger, R. (2011) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2011.09.013 · Cited by 96
Quantitative Imaging Methods for the Development and Validation of Brain Biomechanics Models
Bayly, P. V., Clayton, E. H., & Genin, G. M. (2012) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071811-150032 · Cited by 100
MR Elastography Demonstrates Unique Regional Brain Stiffness Patterns in Dementias
Sheikh, M. M. E., Arani, A., Perry, A., Boeve, B. F., Meyer, F. B., Savica, R., Ehman, R. L., & Huston, J. (2017) · American Journal of Roentgenology · doi:10.2214/ajr.16.17455 · Cited by 92
Braun, J., Guo, J., Lützkendorf, R., Stadler, J., Papazoglou, S., Hirsch, S., Sack, I., & Bernarding, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.032 · Cited by 91
Self-citationThe mechanical importance of myelination in the central nervous system
Weickenmeier, J., de Rooij, R., Budday, S., Ovaert, T. C., & Ellen Kuhl, A. (2017) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2017.04.017 · Cited by 90
Murphy, M. C., Curran, G. L., Glaser, K. J., Rossman, P. J., Huston, J., Poduslo, J. F., Jack, C. R., Felmlee, J. P., & Ehman, R. L. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.12.019 · Cited by 93
Yin, Z., Romano, A. J., Manduca, A., Ehman, R. L., & Huston, J. (2018) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000178 · Cited by 93
Brain maturation is associated with increasing tissue stiffness and decreasing tissue fluidity
Guo, J., Bertalan, G., Meierhofer, D., Klein, C., Schreyer, S., Steiner, B., Wang, S., Silva, R. V., Infante‐Duarte, C., Koch, S., et al. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.08.036 · Cited by 87
Self-citationStiffness reconstruction methods for MR elastography
Fovargue, D., Nordsletten, D., & Sinkus, R. (2018) · NMR in Biomedicine · doi:10.1002/nbm.3935 · Cited by 93
Doyley, M. M., & Parker, K. J. (2013) · Ultrasound Clinics · doi:10.1016/j.cult.2013.09.006 · Cited by 85
Why Are Viscosity and Nonlinearity Bound to Make an Impact in Clinical Elastographic Diagnosis?
Rus, G., Faris, I. H., Torres, J., Callejas, A. M., & Rodríguez, J. M. M. (2020) · Sensors · doi:10.3390/s20082379 · Cited by 81
In Vivo Mapping of Brain Elasticity in Small Animals Using Shear Wave Imaging
Macé, É., Cohen, I., Montaldo, G., Miles, R., Fink, M., & Tanter, M. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2079940 · Cited by 77
Freimann, F. B., Müller, S., Streitberger, K., Guo, J., Rot, S., Ghori, A., Vajkoczy, P., Reiter, R., Sack, I., & Braun, J. (2013) · NMR in Biomedicine · doi:10.1002/nbm.2987 · Cited by 75
Self-citationMueller, J. K., Ai, L., Bansal, P., & Legon, W. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/5/056002 · Cited by 74
Jiang, Y., Li, G., Qian, L., Liang, S., Michel Destrade, A., & Cao, Y. (2015) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-015-0658-0 · Cited by 74
Ultrasound or MR elastography of liver: which one shall I use?
Yin, M., & Venkatesh, S. K. (2017) · Abdominal Radiology · doi:10.1007/s00261-017-1340-z · Cited by 73
Agarwal, M., Pasupathy, P., Wu, X., Recchia, S. S., & Pelegri, A. A. (2024) · Small Science · doi:10.1002/smsc.202300185 · Cited by 83
Goriely, A., Budday, S., & Ellen Kuhl, A. (2015) · Advances in applied mechanics · doi:10.1016/bs.aams.2015.10.002 · Cited by 73
Including Spatial Information in Nonlinear Inversion MR Elastography Using Soft Prior Regularization
McGarry, M., Johnson, C. L., Sutton, B. P., Houten, E. E. W. V., Georgiadis, J. G., Weaver, J. B., & Paulsen, K. D. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2268978 · Cited by 72
Functional hyperemia drives fluid exchange in the paravascular space
Kedarasetti, R. T., Turner, K. L., Echagarruga, C., Gluckman, B. J., Drew, P. J., & Costanzo, F. (2020) · Fluids and Barriers of the CNS · doi:10.1186/s12987-020-00214-3 · Cited by 72
Moran, R., Smith, J. H., & García, J. J. (2014) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2014.09.030 · Cited by 70
Morin, F., Courtecuisse, H., Reinertsen, I., Lann, F. L., Palombi, O., Yohan Payan, A., & Chabanas, M. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.06.003 · Cited by 69
Mechanical properties of porcine brain tissue in vivo and ex vivo estimated by MR elastography
Guertler, C. A., Okamoto, R. J., Schmidt, J. L., Badachhape, A., Johnson, C. L., & Bayly, P. V. (2018) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2018.01.016 · Cited by 71
An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials
Zhang, W., Capilnasiu, A., Sommer, G., Holzapfel, G. A., & Nordsletten, D. (2020) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2020.112834 · Cited by 69
Wide-range dynamic magnetic resonance elastography
Riek, K., Klatt, D., Nuzha, H., Mueller, S. G., Neumann, U. P., Sack, I., & Braun, J. (2011) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2010.12.031 · Cited by 69
Self-citationPalacio‐Torralba, J., Hammer, S. J., Good, D. W., McNeill, S. A., Stewart, G. D., Reuben, R. L., & Chen, Y. (2014) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2014.09.027 · Cited by 68
Artificial neural networks for stiffness estimation in magnetic resonance elastography
Murphy, M. C., Manduca, A., Trzasko, J. D., Glaser, K. J., Huston, J., & Ehman, R. L. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27019 · Cited by 68
Influence of Age on Global and Regional Brain Stiffness in Young and Middle‐Aged Adults
Takamura, T., Motosugi, U., Sasaki, Y., Takashi, K., Sato, K., Glaser, K. J., Ehman, R. L., & Onishi, H. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26881 · Cited by 67
Romano, A. J., Guo, J., Prokscha, T., Meyer, T., Hirsch, S., Braun, J., Sack, I., & Scheel, M. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25067 · Cited by 67
Self-citationKlein, C., Hain, E. G., Braun, J., Riek, K., Mueller, S. G., Steiner, B., & Sack, I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092582 · Cited by 72
Self-citation
Metadata
- Authors
- Sack, I., Beierbach, B., Wuerfel, J., Klatt, D., Hamhaber, U., Papazoglou, S., Martus, P., & Braun, J.
- Affiliations
- Charité – Universitätsmedizin Berlin (DE)
- University of Lübeck (DE)
- Corresponding author
- Sack, Ingolf
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-07
- Volume
- 46
- Issue
- 3
- Pages
- 652-657
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2035928670
- Cited by
- 423
- References
- 31
- Citations by year
- 2026: 19 · 2025: 22 · 2024: 26 · 2023: 26 · 2022: 29 · 2021: 30 · 2020: 27 · 2019: 26 · 2018: 25 · 2017: 30 · 2016: 23 · 2015: 20 · 2014: 17 · 2013: 25 · 2012: 28
- FWCI
- 19.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- brain viscoelasticity, brain aging, sex differences, brain microstructure, brain tissue stiffness, neurodegeneration, healthy human brain
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Aging, Brain, Computer Simulation, Female, Hardness, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Sex Factors, Viscosity, Elasticity Imaging Techniques, Elastic Modulus, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
