In vivo and ex vivo diffusion tensor imaging of cuprizone‐induced demyelination in the mouse corpus callosum
Open accessAbstract
Diffusion tensor imaging has been widely used in studying rodent models of white matter diseases. In this study, we examined the differences between in vivo and ex vivo fractional anisotropy and diffusivity measurements in the mouse cuprizone model. In the control mouse corpus callosum, ex vivo diffusivities were significantly lower than in vivo measurements, but ex vivo fractional anisotropy values were not significantly different from in vivo fractional anisotropy values. With cuprizone induced demyelination and accompanying pathology in the corpus callosum, changes in in vivo and ex vivo fractional anisotropy and diffusivity measurements were not always in agreement. Our results suggest that ex vivo λ⟂ was a more reliable indicator of white matter demyelination than in vivo λ⟂ and in vivo λ‖ was a more reliable indicator of axonal injury than ex vivo λ‖ in this model. When comparing in vivo and ex vivo diffusion tensor imaging results of axon and myelin pathology in the rodent models, potential changes in tissue microstructures associated with perfusion fixation should be considered. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Ex vivo FA values differ less from in vivo FA values in the mouse brain.
“But ex vivo FA values differ less from in vivo FA values in the mouse brain (Zhang et al. 2012b).”
From Neurite orientation dispersion and density imaging of mouse brain microstructure (2019) · cites this paper as Zhang et al. 2012b
The Results report no significant in vivo–ex vivo FA difference in the control mouse caudal corpus callosum, even though diffusivity values differed substantially. But they also report a significant FA difference at six weeks of cuprizone treatment. The unqualified claim about the mouse brain therefore extends beyond the conditions supported by the paper (page numbers not provided). (LLM, conf=0.88)
Experimental — accuracy not yet measuredDemyelination is linked to myelin and oligodendrocyte loss, axon damage, active gliosis, and astrocytic hypertrophy.
“Demyelination is linked to myelin and oligodendrocyte loss, axon damage, active gliosis, and astrocytic hypertrophy (Lin et al. 2017; Zhang et al. 2012b; Nikic et al. 2011; Simons et al. 2014; Skripuletz et al. 2008).”
From Neurite orientation dispersion and density imaging of mouse brain microstructure (2019) · cites this paper as Zhang et al. 2012b
The Results report myelin loss, activated microglia and abnormal axonal transport in the cuprizone-treated mouse corpus callosum; the Discussions also report oligodendrocyte death. The paper mentions astrocytes but does not report astrocytic hypertrophy, so that part of the claim is unsupported. Its findings concern this mouse model rather than demyelination generally. (LLM, conf=0.88)
Experimental — accuracy not yet measuredWhile temperature and fixation affect diffusivity values, and ADC in fixed tissue is significantly lower than in vivo, anisotropy values are comparable between in vivo and ex vivo samples.
“While temperature and fixation affect diffusivity values, and ADC in fixed tissue is significantly lower than in vivo (Richardson et al., 2014), anisotropy values are comparable between in vivo and ex vivo samples (Sun et al., 2001, 2003; Zhang et al., 2012).”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Zhang et al., 2012
The Discussions report no significant difference between in vivo and ex vivo fractional anisotropy in the normal mouse corpus callosum. But they also report significantly different values in the demyelinated corpus callosum, so the unqualified claim that anisotropy is comparable across samples overextends the finding. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · see citing works
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · see citing works
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738 · see citing works
Principles of diffusion tensor imaging and its applications to basic neuroscience research
Mori, S., & Zhang, J. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.012 · Cited by 1,708 · see citing works
Self-citationAutomated Image Registration: I. General Methods and Intrasubject, Intramodality Validation
Woods, R. P., Grafton, S. T., Holmes, C. J., Cherry, S. R., & Mazziotta, J. C. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199801000-00027 · Cited by 1,707 · see citing works
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658 · see citing works
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571 · see citing works
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking
Jiang, H., van Zijl, P. C. M., Kim, J., Pearlson, G. D., & Mori, S. (2006) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2005.08.004 · Cited by 999 · see citing works
Self-citationAutomated Image Registration: II. Intersubject Validation of Linear and Nonlinear Models
Woods, R. P., Grafton, S. T., Watson, J. D. G., Sicotte, N. L., & Mazziotta, J. C. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199801000-00028 · Cited by 993 · see citing works
Matsushima, G. K., & Morell, P. (2001) · Brain Pathology · doi:10.1111/j.1750-3639.2001.tb00385.x · Cited by 984 · see citing works
Water diffusion changes in wallerian degeneration and their dependence on white matter architecture
Pierpaoli, C., Barnett, A., Pajevic, S., Chen, R., Penix, L., Virta, A., & Basser, P. (2001) · NeuroImage · doi:10.1006/nimg.2001.0765 · Cited by 938 · see citing works
Budde, M. D., Xie, M., Cross, A. H., & Song, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4605-08.2009 · Cited by 483 · see citing works
The cuprizone animal model: new insights into an old story
Kipp, M., Clarner, T., Dang, J., Copray, S., & Beyer, C. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0591-3 · Cited by 481 · see citing works
Applications of diffusion‐weighted and diffusion tensor MRI to white matter diseases – a review
Horsfield, M. A., & Jones, D. K. (2002) · NMR in Biomedicine · doi:10.1002/nbm.787 · Cited by 468 · see citing works
Sun, S., Liang, H., Trinkaus, K., Cross, A. H., Armstrong, R. C., & Song, S. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20774 · Cited by 461 · see citing works
Diffusion tensor imaging of normal and injured developing human brain-a technical review
Neil, J., Miller, J., Mukherjee, P., & Hüppi, P. S. (2002) · NMR in Biomedicine · doi:10.1002/nbm.784 · Cited by 402 · see citing works
Aldehyde fixative solutions alter the water relaxation and diffusion properties of nervous tissue
Shepherd, T. M., Thelwall, P. E., Stanisz, G. J., & Blackband, S. J. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21977 · Cited by 305 · see citing works
Sun, S., Neil, J. J., & Song, S. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10605 · Cited by 231 · see citing works
Quantifying the early stages of remyelination following cuprizone-induced demyelination
Stidworthy, M. F., Genoud, S., Suter, U., Mantei, N., & Franklin, R. J. M. (2003) · Brain Pathology · doi:10.1111/j.1750-3639.2003.tb00032.x · Cited by 224 · see citing works
Liu, L., Belkadi, A., Darnall, L., Hu, T., Drescher, C., Cotleur, A. C., Padovani-Claudio, D., He, T., Choi, K., Lane, T. E., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2491 · Cited by 214 · see citing works
MR microscopy and high resolution small animal MRI: applications in neuroscience research
Benveniste, H., & Blackband, S. J. (2002) · Progress in Neurobiology · doi:10.1016/s0301-0082(02)00020-5 · Cited by 209 · see citing works
Formalin fixation alters water diffusion coefficient magnitude but not anisotropy in infarcted brain
Sun, S., Neil, J. J., Liang, H., He, Y. Y., Schmidt, R. E., Hsu, C. Y., & Song, S. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20488 · Cited by 204 · see citing works
DeBoy, C. A., Zhang, J., Dike, S., Shats, I., Jones, M., Reich, D. S., Mori, S., Nguyen, T., Rothstein, B. D., Miller, R. H., et al. (2007) · Brain · doi:10.1093/brain/awm122 · Cited by 198 · see citing works
Self-citationAn approach to high resolution diffusion tensor imaging in fixed primate brain
D'Arceuil, H. E., Westmoreland, S. V., & de Crespigny, A. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.028 · Cited by 195 · see citing works
Zhang, J., Jones, M., DeBoy, C. A., Reich, D. S., Farrell, J. A. D., Hoffman, P. N., Griffin, J. W., Sheikh, K. A., Miller, M. I., Mori, S., et al. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3941-08.2009 · Cited by 188 · see citing works
Self-citationThe shrinkage of the human brain stem during formalin fixation and embedding in paraffin
Quester, R., & Schröder, R. (1997) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(97)00050-2 · Cited by 177 · see citing works
Xie, M., Tobin, J. E., Budde, M. D., Chen, C.-I., Trinkaus, K., Cross, A. H., McDaniel, D. P., Song, S.-K., & Armstrong, R. C. (2010) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181e3de90 · Cited by 175 · see citing works
Harsan, L. A., Steibel, J., Zaremba, A., Agin, A., Sapin, R., Poulet, P., Guignard, B., Parizel, N., Grucker, D., Boehm, N., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4453-08.2008 · Cited by 171 · see citing works
Boonstra, H., Oosterhuis, J. W., Oosterhuis, A., & Fleuren, G. J. (1983) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/bf00695061 · Cited by 167 · see citing works
Spatial normalization of diffusion tensor fields
Xu, D., Mori, S., Shen, D. G., van Zijl, P. C. M., & Davatzikos, C. A. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10489 · Cited by 144 · see citing works
Self-citationShepherd, T. M., Flint, J. J., Thelwall, P. E., Stanisz, G. J., Mareci, T. H., Yachnis, A. T., & Blackband, S. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.054 · Cited by 130 · see citing works
Carlton, W. W. (1967) · Life Sciences · doi:10.1016/0024-3205(67)90356-6 · Cited by 108 · see citing works
Diffusion tensor imaging in fixed brain tissue at 7.0 T
Guilfoyle, D. N., Helpern, J. A., & Lim, K. O. (2003) · NMR in Biomedicine · doi:10.1002/nbm.814 · Cited by 103 · see citing works
Multicontrast MRI of remyelination in the central nervous system
Merkler, D., Boretius, S., Stadelmann, C., Ernsting, T., Michaelis, T., Frahm, J., & Brück, W. (2005) · NMR in Biomedicine · doi:10.1002/nbm.972 · Cited by 102 · see citing works
Three-dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain
Aggarwal, M., Mori, S., Shimogori, T., Blackshaw, S., & Zhang, J. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22426 · Cited by 90 · see citing works
Self-citationZaaraoui, W., Deloire, M., Merle, M., Girard, C., Raffard, G., Biran, M., Inglese, M., Petry, K. G., Gonen, O., Brochet, B., et al. (2008) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-008-0141-3 · Cited by 72 · see citing works
Pattany, P. M., Puckett, W., Klose, K. J., Quencer, R. M., Bunge, R. P., Kasuboski, L., & Weaver, R. G. (1997) · PubMed Central · Cited by 62 · see citing works
Magnetic resonance imaging of embryos: an Internet resource for the study of embryonic development
Smith, B. R., Huff, D. S., & Johnson, G. A. (1999) · Computerized Medical Imaging and Graphics · doi:10.1016/s0895-6111(98)00061-5 · Cited by 49 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Praet, J., Guglielmetti, C., Berneman, Z., Van der Linden, A., & Ponsaerts, P. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.004 · Cited by 435 · see citing works
Diffusion tensor MRI as a biomarker in axonal and myelin damage
Aung, W. Y., Mar, S., & Benzinger, T. L. S. (2013) · Imaging in Medicine · doi:10.2217/iim.13.49 · Cited by 351 · see citing works
Lee, J., Shmueli, K., Kang, B., Yao, B., Fukunaga, M., van Gelderen, P., Palumbo, S., Bosetti, F., Silva, A. C., & Duyn, J. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.076 · Cited by 205 · see citing works
Chang, E. H., Argyelan, M., Aggarwal, M., Chandon, T.-S. S., Karlsgodt, K. H., Mori, S., & Malhotra, A. K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.068 · Cited by 186 · see citing works
Self-citationGuglielmetti, C., Veraart, J., Roelant, E., Mai, Z., Daans, J., Audekerke, J. V., Naeyaert, M., Vanhoutte, G., y Palacios, R. D., Praet, J., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.052 · Cited by 160 · see citing works
Bartzokis, G., Lu, P. H., Heydari, P., Couvrette, A., Lee, G. J., Kalashyan, G., Freeman, F., Grinstead, J. W., Villablanca, P., Finn, J. P., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.010 · Cited by 152 · see citing works
Quantitative MRI and ultrastructural examination of the cuprizone mouse model of demyelination
Thiessen, J. D., Zhang, Y., Zhang, H., Wang, L., Buist, R., Del Bigio, M. R., Kong, J., Li, X., & Martin, M. (2013) · NMR in Biomedicine · doi:10.1002/nbm.2992 · Cited by 148 · see citing works
Detecting Microglial Density With Quantitative Multi-Compartment Diffusion MRI
Yi, S. Y., Barnett, B. R., Torres-Velázquez, M., Zhang, Y., Hurley, S. A., Rowley, P. A., Hernando, D., & Yu, J.-P. J. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00081 · Cited by 104 · see citing works
Deprez, S., Billiet, T., Sunaert, S. G., & Leemans, A. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9220-1 · Cited by 105 · see citing works
Repeated Mild Traumatic Brain Injury Results in Long-Term White-Matter Disruption
Donovan, V., Kim, C., Anugerah, A. K., Coats, J. S., Oyoyo, U. E., Pardo, A. C., & Obenaus, A. (2014) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2014.6 · Cited by 99 · see citing works
Khodanovich, M. Y., Sorokina, I. V., Glazacheva, V., Евгеньевич, А. А., Nemirovich-Danchenko, N. M., Romashchenko, A. V., Tolstikova, T. G., Mustafina, L. R., & Yarnykh, V. L. (2017) · Scientific Reports · doi:10.1038/srep46686 · Cited by 97 · see citing works
Falangola, M. F., Guilfoyle, D. N., Tabesh, A., Hui, E. S., Nie, X., Jensen, J. H., Gerum, S. V., Hu, C., LaFrancois, J., Collins, H. R., et al. (2014) · NMR in Biomedicine · doi:10.1002/nbm.3140 · Cited by 96 · see citing works
In vivo high-resolution diffusion tensor imaging of the mouse brain
Wu, D., Xu, J., McMahon, M. T., van Zijl, P. C. M., Mori, S., Northington, F. J., & Zhang, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.012 · Cited by 89 · see citing works
Self-citationJi, E., Guevara, P., Guevara, M., Grigis, A., Labra, N., Sarrazin, S., Hamdani, N., Bellivier, F., Delavest, M., Leboyer, M., et al. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz015 · Cited by 84 · see citing works
Evaluation of diffusion kurtosis imaging in ex vivo hypomyelinated mouse brains
Kelm, N. D., West, K. L., Carson, R. P., Gochberg, D. F., Ess, K. C., & Does, M. D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.028 · Cited by 84 · see citing works
Hübner, N. S., Mechling, A. E., Lee, H., Reisert, M., Bienert, T., Hennig, J., von Elverfeldt, D., & Harsan, L. A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.008 · Cited by 78 · see citing works
Structural insights into the rodent CNS via diffusion tensor imaging.
Zhang, J., Aggarwal, M., & Mori, S. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.04.010 · Cited by 73 · see citing works
Self-citationNeurite orientation dispersion and density imaging of mouse brain microstructure
Wang, N., Zhang, J., Cofer, G., Qi, Y., Anderson, R. J., White, L. E., & Allan Johnson, G. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01877-x · Cited by 69 · see citing works
Self-citationGeeraert, B., Lebel, R. M., Mah, A., Deoni, S., Alsop, D. C., Varma, G., & Lebel, C. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.019 · Cited by 68 · see citing works
Butti, E., Bacigaluppi, M., Chaabane, L., Ruffini, F., Brambilla, E., Berera, G., Montonati, C., Quattrini, A., & Martino, G. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.0227-18.2019 · Cited by 67 · see citing works
The Biological Basis of Diffusion Anisotropy
Beaulieu, C. (2014) · Diffusion MRI · doi:10.1016/b978-0-12-396460-1.00008-1 · Cited by 66 · see citing works
Axer, H. (2011) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2011.00028 · Cited by 64 · see citing works
Whole-brain ex-vivo quantitative MRI of the cuprizone mouse model
Wood, T., Simmons, C., Hurley, S. A., Vernon, A. C., Torres, J., Dell’Acqua, F., Williams, S., & Cash, D. (2016) · PeerJ · doi:10.7717/peerj.2632 · Cited by 66 · see citing works
Chandran, P., Upadhyay, J., Markosyan, S., Lisowski, A. R., Buck, W. R., Chin, C.-L., Fox, G. B., Luo, F. R., & Day, M. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.10.051 · Cited by 61 · see citing works
Tissue magnetic susceptibility mapping as a marker of tau pathology in Alzheimer's disease
O’Callaghan, J. M., Holmes, H. E., Powell, N. M., Wells, J. A., Ismail, O., Harrison, I. F., Siow, B. M., Johnson, R. A., Ahmed, Z., Fisher, A., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.003 · Cited by 61 · see citing works
Nathoo, N., Yong, V. W., & Dunn, J. F. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.04.011 · Cited by 52 · see citing works
Kosa, P. F., Ghazali, D., Tanigawa, M., Barbour, C. R., Cortese, I. C. M., Kelley, W. N., Snyder, B., Ohayon, J. M., Fenton, K. M., Lehky, T., et al. (2016) · Frontiers in Neurology · doi:10.3389/fneur.2016.00131 · Cited by 53 · see citing works
Gelosa, P., Bonfanti, E., Castiglioni, L., Delgado-Garcia, J. M., Gruart, A., Fontana, L. A., Gotti, M., Tremoli, E., Lecca, D., Fumagalli, M., et al. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.02.025 · Cited by 48 · see citing works
Cytoarchitecture of the mouse brain by high resolution diffusion magnetic resonance imaging
Wang, N., White, L. E., Qi, Y., Cofer, G., & Johnson, G. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116876 · Cited by 47 · see citing works
Ismail, A. A. O., Parker, D., Hernández-Fernández, M., Wolf, R., Brem, S., Alexander, S., Hodges, W., Pasternak, O., Caruyer, E., & Verma, R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233645 · Cited by 46 · see citing works
Gatto, R. G., Ye, A. Q., Colon-Perez, L., Mareci, T. H., Lysakowski, A., Price, S. D., Brady, S. T., Karaman, M., Morfini, G., & Magin, R. L. (2019) · Magnetic Resonance Materials in Physics, Biology and Medicine · doi:10.1007/s10334-019-00742-6 · Cited by 42 · see citing works
Probing demyelination and remyelination of the cuprizone mouse model using multimodality MRI
Wang, N., Zhuang, J., Wei, H., Dibb, R., Qi, Y. P., & Liu, C. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26758 · Cited by 41 · see citing works
Ben-Ari, H., Lifschytz, T., Wolf, G., Rigbi, A., Blumenfeld‐Katzir, T., Kreisel, T., Koroukhov, N., Lotan, A., & Lerer, B. (2019) · Brain Research · doi:10.1016/j.brainres.2019.01.017 · Cited by 40 · see citing works
Yazdi, A., Ghasemi‐Kasman, M., & Javan, M. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24509 · Cited by 37 · see citing works
Collagen fibers mediate MRI-detected water diffusion and anisotropy in breast cancers
Kakkad, S. M., Zhang, J., Akhbardeh, A., Jacob, D., Krishnamachary, B., Solaiyappan, M., Jacobs, M. A., Raman, V., Leibfritz, D., Glunde, K., et al. (2016) · Neoplasia · doi:10.1016/j.neo.2016.08.004 · Cited by 32 · see citing works
Self-citationLocalized diffusion magnetic resonance micro-imaging of the live mouse brain
Wu, D., Reisinger, D., Xu, J., Fatemi, A. S., van Zijl, P. C. M., Mori, S., & Zhang, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.014 · Cited by 28 · see citing works
Self-citationGimenez, U., Perles‐Barbacaru, T., Millet, A., Appaix, F., Atifi, M. E., Pernet‐Gallay, K., van der Sanden, B. P. J., Berger, F. R., & Lahrech, H. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3608 · Cited by 26 · see citing works
Krämer, J., Brück, W., Zipp, F., Cerina, M., Groppa, S., & Meuth, S. G. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101663 · Cited by 25 · see citing works
In vivo High Angular Resolution Diffusion-Weighted Imaging of Mouse Brain at 16.4 Tesla
Alomair, O. I., Brereton, I. M., Smith, M. T., Galloway, G. J., & Kurniawan, N. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130133 · Cited by 24 · see citing works
Kastyak-Ibrahim, M. Z., Di Curzio, D. L., Buist, R., Herrera, S. L., Albensi, B. C., Del Bigio, M. R., & Martin, M. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.06.013 · Cited by 23 · see citing works
Mapping tracts in the human subthalamic area by 11.7T ex vivo diffusion tensor imaging
Oishi, K., Mori, S., Troncoso, J. C., & Lenz, F. A. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02066-x · Cited by 23 · see citing works
Self-citationCognitive disturbances in the cuprizone model of multiple sclerosis
Kopanitsa, M. V., Lehtimäki, K. K., Forsman, M., Suhonen, A., Koponen, J., Piiponniemi, T. O., Kärkkäinen, A., Pavlidi, P., Shatillo, A., Sweeney, P. J., et al. (2020) · Genes Brain & Behavior · doi:10.1111/gbb.12663 · Cited by 23 · see citing works
Petiet, A., Aigrot, M., & Stankoff, B. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00491 · Cited by 22 · see citing works
Stinnett, G. R., Lin, S., Korotcov, A. V., Korotcova, L., Morton, P. D., Ramachandra, S. D., Pham, A., Kumar, S., Agematsu, K., Zurakowski, D., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005997 · Cited by 22 · see citing works
Microglial Density Alters Measures of Axonal Integrity and Structural Connectivity
Yi, S. Y., Stowe, N. A., Barnett, B. R., Dodd, K. C., & Yu, J. J. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.04.008 · Cited by 19 · see citing works
Quantitative MRI in a non‐surgical model of cervical spinal cord injury
Oakden, W., Kwiecień, J. M., O’Reilly, M. A., Dąbrowski, W., Whyne, C. M., Finkelstein, J. A., Hynynen, K., & Stanisz, G. J. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3326 · Cited by 19 · see citing works
Hill, I., Palombo, M., Santin, M. D., Branzoli, F., Philippe, A.-C., Wassermann, D., Aigrot, M., Stankoff, B., Evercooren, A. B., Felfli, M., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117425 · Cited by 20 · see citing works
Altered diffusion tensor imaging measurements in aged transgenic Huntington disease rats
Antonsen, B. T., Jiang, Y., Veraart, J., Qu, H., Nguyen, H. P., Sijbers, J., von Hörsten, S., Johnson, G. A., & Leergaard, T. B. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0427-0 · Cited by 18 · see citing works
TRO19622 promotes myelin repair in a rat model of demyelination
Li, Y., Zhang, Y., Han, W., Hu, F., Qian, Y., & Chen, Q. (2013) · International Journal of Neuroscience · doi:10.3109/00207454.2013.804523 · Cited by 16 · see citing works
Schilling, K. G., Grussu, F., Ianuș, A., Hansen, B., Howard, A. F. D., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F. A., Syeda, W. T., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30435 · Cited by 26 · see citing works
Self-citationCong, H., Liang, M., Wang, Y., Chang, H., Du, L., Zhang, X., & Yin, L. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.07.010 · Cited by 13 · see citing works
Morozov, D., Bar, L., Sochen, N., & Cohen, Y. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25371 · Cited by 13 · see citing works
Atkinson, K. C., Lee, J. B., Hasselmann, J., Kim, S. H., Drew, A., Soto, J. S., Katzenellenbogen, J. A., Harris, N. G., Obenaus, A., & Tiwari-Woodruff, S. K. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104501 · Cited by 13 · see citing works
Whittaker, H. T., Zhu, S., Di Curzio, D. L., Buist, R., Li, X.-M., Noy, S., Wiseman, F. K., Thiessen, J. D., & Martin, M. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.03.010 · Cited by 12 · see citing works
Bonfield, C. M., Foley, L. M., Kundu, S., Fellows-Mayle, W. K., Hitchens, T. K., Rohde, G. K., Grandhi, R., & Mooney, M. P. (2015) · Neurosurgical FOCUS · doi:10.3171/2015.2.focus14849 · Cited by 12 · see citing works
Ziser, L., Meyer‐Schell, N., Kurniawan, N. D., Sullivan, R., Reutens, D. C., Chen, M., & Vegh, V. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3877 · Cited by 10 · see citing works
Paternal age contribution to brain white matter aberrations in autism spectrum disorder
Yassin, W., Kojima, M., Owada, K., Kuwabara, H., Gonoi, W., Aoki, Y. Y., Takao, H., Natsubori, T., Iwashiro, N., Kasai, K., et al. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12909 · Cited by 10 · see citing works
Diffusion radiomics for subtyping and clustering in autism spectrum disorder: A preclinical study
Singh, A. P., Jain, V., & Yu, J. J. (2022) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2022.12.003 · Cited by 9 · see citing works
Breu, M., Reisinger, D., Tao, L., Wu, D., Zhang, Y., Budde, M. D., Fatemi, A. S., Pathak, A. P., & Zhang, J. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01878-w · Cited by 7 · see citing works
Self-citationHuang, P., Chen, K., Liu, C., Zhen, Z., & Zhang, R. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28736 · Cited by 6 · see citing works
Fan, J., Milosevic, R., Li, J., Bai, J., & Zhang, Y. (2019) · Brain Science Advances · doi:10.1177/2096595820902565 · Cited by 6 · see citing works
Ex vivo brain MRI to assess conventional and FLASH brain irradiation effects
Jansen, J., Kimbler, A., Drayson, O. G. G., Lanz, B., Mosso, J., Grilj, V., Petit, B., Franco‐Pérez, J., Simon, A. B., Limoli, C. L., et al. (2025) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2025.110894 · Cited by 4 · see citing works
Oishi, K., Chotiyanonta, J. S., Mori, S., Troncoso, J. C., & Lenz, F. A. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-02915-7 · Cited by 4 · see citing works
Self-citationEvaluation of kernel low-rank compressed sensing in preclinical diffusion magnetic resonance imaging
de Souza, D. A. R., Mathieu, H., Deloulme, J., & Barbier, E. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1172830 · Cited by 4 · see citing works
Monitoring ischemic cerebral injury in spontaneously hypertensive rats by diffusion tensor imaging
Kujoth, G. C., Neves, G. F., Çıkla, U., Aktüre, E., Uluç, K., Song, C., Hananya, T., Sadighi, A., Ferrazzano, P. A., & Başkaya, M. K. (2015) · Turkish Neurosurgery · doi:10.5137/1019-5149.jtn.15192-15.1 · Cited by 3 · see citing works
Utilization of potato starch suspension for MR-microimaging in ex vivo mouse embryos
Tsurugizawa, T., Kumamoto, T., & Yoshioka, Y. (2022) · iScience · doi:10.1016/j.isci.2022.105694 · Cited by 5 · see citing works
Magnetic resonance imaging of white matter response to diesel exhaust particlesPreprint
Chakhoyan, A., Shkirkova, K., Sizdahkhani, S., Huuskonen, M. T., Lamorie‐Foote, K., Diaz, A., Chen, S. Y., Liu, Q., D’Agostino, C., Zhang, H., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3087503/v1 · Cited by 3 · see citing works
Nie, T.-T., Yan, G., Jia, Y., Zhang, T., Shen, Z.-W., Zhang, H.-D., Xu, H.-Y., & Wu, R. H. (2014) · Applied Magnetic Resonance · doi:10.1007/s00723-014-0553-3 · Cited by 2 · see citing works
Magnetic resonance imaging approaches for studying mouse models of multiple sclerosis: A mini review
Gilli, F., & Ceccarelli, A. (2023) · Journal of Neuroscience Research · doi:10.1002/jnr.25193 · Cited by 2 · see citing works
Friesen, E., Sheft, M., Hari, K., Palmer, V. L., Zhu, S., Herrera, S. L., Buist, R. J., Jiang, D., Li, X., Bigio, M. R. D., et al. (2024) · ASN NEURO · doi:10.1080/17590914.2024.2404366 · Cited by 2 · see citing works
Singh, A. P., Fromandi, M. B., Pimentel-Alarcón, D., Werling, D. M., Gasch, A. P., & Yu, J. J. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100430 · Cited by 2 · see citing works
Omer, N., Wilczynski, E., Zlotzover, S., Helft, C., Blumenfeld‐Katzir, T., & Ben‐Eliezer, N. (2025) · PLoS ONE · doi:10.1371/journal.pone.0323614 · Cited by 2 · see citing works
A multiscale tissue assessment in a rat model of mild traumatic brain injury
Molina, I. S. M., Fratini, M., Campi, G., Burghammer, M. C., Grünewald, T. A., Salo, R. A., Narvaez, O., Aggarwal, M., Tohka, J., & Sierra, A. (2022) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlac100 · Cited by 2 · see citing works
Effects of anesthesia exposure on postnatal maturation of white matter in rhesus monkeys
Tomlinson, C. E., Vlasova, R., Al‐Ali, K., Young, J. T., Shi, Y., Lubach, G. R., Alexander, A. L., Coe, C. L., Styner, M. A., & Fine, J. P. (2023) · Developmental Psychobiology · doi:10.1002/dev.22396 · Cited by 2 · see citing works
Current Developments In Mri For Assessing Rodent Models of Multiple Sclerosis
Alomair, O. I., Smith, M. T., Brereton, I. M., Galloway, G. J., & Kurniawan, N. D. (2014) · Future Neurology · doi:10.2217/fnl.14.33 · Cited by 2 · see citing works
Development of magnetic resonance imaging techniques for mouse models of Alzheimer's Disease
O’Callaghan, J. M. (2015) · UCL Discovery (University College London)
High Resolution Quantitative MRI in a Non-Surgical Model of Spinal Cord Injury
Oakden, W. (2015) · TSpace (University of Toronto)
Multi-parametric MRI can detect enhanced myelination in the Gli1 -/- mouse brainPreprint
Lee, C. H., Holloman, M., Salzer, J. L., & Zhang, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.20.567957
Self-citationDifferentiating unirradiated mice from those exposed to conventional or FLASH radiotherapy using MRIPreprint
Jansen, J., Kimbler, A., Drayson, O. G. G., Lanz, B., Mosso, J., Grilj, V., Petit, B., Franco‐Pérez, J., Simon, A. B., Limoli, C. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.01.636061
Multiparametric MRI Can Detect Enhanced Myelination in the Ex Vivo Gli1−/− Mouse Brain
Lee, C. H., Holloman, M., Salzer, J. L., & Zhang, J. (2025) · NMR in Biomedicine · doi:10.1002/nbm.70025 · Cited by 1 · see citing works
Self-citation3D multimodal histological atlas and coordinate framework for the mouse brain and headPreprint
Mitra, P. P., Flannery, P., Savoia, S., Mezias, C., Banerjee, S., Richman, M., Lodato, B., O’Rourke, J., Balani, S., Arima, K., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6387518/v1
Self-citationMyelin imaging in MRI using ultra-short echo time sequences
Soustelle, L. (2018) · theses.fr (ABES) · doi:10.70675/7606cd78z6ce3z466fzbba0z59ebf521f1d9
Ultra-high field microstructural MRI of living cortical organoidsPreprint
Nikolaeva, T., Jakobs, C. E., Yon, M., Adolfs, Y., Singer, R., Pasterkamp, R. J., Krug, J. R., & Tax, C. M. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.19.719203
Schmidt, S. D., Guimarães, D. M., Hogan-Cann, A. E., Crooks, A. M., Novikov, V., German‐Castelan, L., Fan, J., Cowan, M. F., Fodor, C., Ollen‐Bittle, N., et al. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107663
- Authors
- Zhang, J., Jones, M. V., McMahon, M. T., Mori, S., & Calabresi, P. A.
- Affiliations
- Johns Hopkins University (US)
- Kennedy Krieger Institute (US)
- Corresponding author
- Zhang, Jiangyang
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2011-06-07
- Volume
- 67
- Issue
- 3
- Pages
- 750-759
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC3170659
- OpenAlex
- W1979250708
- Cited by
- 88
- References
- 40
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 2 · 2023: 6 · 2022: 3 · 2021: 1 · 2020: 6 · 2019: 14 · 2018: 2 · 2017: 6 · 2016: 10 · 2015: 8 · 2014: 9 · 2013: 6 · 2012: 3
- FWCI
- 5.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (NS070909, NS059529, NS065306, AG20012, EB003543, ES012665)
- NMSS Collaborative Center Award (NMSS TR-3760-A-3)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- cuprizone, demyelination, corpus callosum, diffusion tensor imaging, fractional anisotropy, diffusion coefficient, perfusion fixation, axonal injury, white matter disease, mouse model
- MeSH terms
- Animals, Brain Chemistry, Corpus Callosum, Cuprizone, Demyelinating Diseases, Image Processing, Computer-Assisted, Immunohistochemistry, Mice, Inbred C57BL, Mice, Diffusion Tensor Imaging
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