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Diffusion Magnetic Resonance Imaging: What Water Tells Us about Biological Tissues
Open accessAbstract
Since its introduction in the mid-1980s, diffusion magnetic resonance imaging (MRI), which measures the random motion of water molecules in tissues, revealing their microarchitecture, has become a pillar of modern neuroimaging. Its main clinical domain has been the diagnosis of acute brain stroke and neurogical disorders, but it is also used in the body for the detection and management of cancer lesions. It can also produce stunning maps of white matter tracks in the brain, with the potential to aid in the understanding of some psychiatric disorders. However, in order to exploit fully the potential of this method, a deeper understanding of the mechanisms that govern the diffusion of water in tissues is needed.
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Cites
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
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
Self-citationLe Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity
Stanietsky, N., Simic, H., Arapovic, J., Toporik, A., Levy, O., Novik, A., Levine, Z., Beiman, M., Dassa, L., Achdout, H., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903474106 · Cited by 3,524
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288
Investigations on the Theory of the Brownian Movement
Topping, J. (1956) · Physics Bulletin · doi:10.1088/0031-9112/7/10/012 · Cited by 2,033
Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations
Padhani, A. R., Liu, G., Mu-Koh, D., Chenevert, T. L., Thoeny, H. C., Takahara, T., Dzik-Jurasz, A., Ross, B. D., Van Cauteren, M., Collins, D., et al. (2009) · Neoplasia · doi:10.1593/neo.81328 · Cited by 1,989
Investigations on the theory of the Brownian movement
Einstein, A. (1926) · BURJC Digital (King Juan Carlos University) · Cited by 1,861
Tracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774
Moseley, M. E., Cohen, Y., Mintorovitch, J., Chileuitt, L., Shimizu, H., Kucharczyk, J., Wendland, M. F., & Weinstein, P. R. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140218 · Cited by 1,644
Sugahara, T., Korogi, Y., Kochi, M., Ikushima, I., Shigematu, Y., Hirai, T., Okuda, T., Liang, L., Ge, Y., Komohara, Y., et al. (1999) · Journal of Magnetic Resonance Imaging · doi:10.1002/(sici)1522-2586(199901)9:1<53::aid-jmri7>3.0.co;2-2 · Cited by 1,163
Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans
Legon, W., Sato, T. F., Opitz, A., Mueller, J., Barbour, A., Williams, A., & Tyler, W. J. (2014) · Nature Neuroscience · doi:10.1038/nn.3620 · Cited by 981
Fast magnetic resonance diffusion-weighted imaging of acute human stroke
Warach, S., Chien, D., Li, W., Ronthal, M., & Edelman, R. R. (1992) · Neurology · doi:10.1212/wnl.42.9.1717 · Cited by 881
Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain
Assaf, Y., & Basser, P. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.042 · Cited by 856
Axcaliber: A method for measuring axon diameter distribution from diffusion MRI
Assaf, Y., Blumenfeld‐Katzir, T., Yovel, Y., & Basser, P. J. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21577 · Cited by 849
Takahara, T., Imai, Y., Yamashita, T., Yasuda, S., Nasu, S., & CAUTEREN, M. V. (2004) · PubMed · Cited by 781
Differentiation of clinically benign and malignant breast lesions using diffusion‐weighted imaging
Guo, Y., Cai, Y., Cai, Z., Gao, Y., An, N., Ma, L., Mahankali, S., & Gao, J. (2002) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10140 · Cited by 714
González, R. G., Schaefer, P. W., Buonanno, F. S., Schwamm, L. H., Budzik, R. F., Rordorf, G., Wang, B., Sorensen, A. G., & Koroshetz, W. J. (1999) · Radiology · doi:10.1148/radiology.210.1.r99ja02155 · Cited by 599
Centenary of Brodmann's map — conception and fate
Zilles, K., & Amunts, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2776 · Cited by 584
Echo-planar imaging of intravoxel incoherent motion.
Turner, R., Le Bihan, D., Maier, J., Vavrek, R., Hedges, L. K., & Pekar, J. (1990) · Radiology · doi:10.1148/radiology.177.2.2217777 · Cited by 581
Self-citationDiffusion MRI at 25: exploring brain tissue structure and function
Le Bihan, D., & Johansen-Berg, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.006 · Cited by 498 · cited 2×
“Recent results from the European FP7 CONNECT project [42] and the Human Connectome Project [43] have clearly underlined the enormous potential of this approach, yielding insight into how brain connections underlie function and opening up new lines of inquiry for human neuroscience and brain dysfunction in aging, menta…”
BackgroundWarach, S., Dashe, J. F., & Edelman, R. R. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00006 · Cited by 490
Löuvbld, K., Baird, A. E., Schlaug, G., Benfield, A., Siewert, B., Voetsch, B., Connor, A., Burzynski, C., Edelman, R. R., & Warach, S. (1997) · Annals of Neurology · doi:10.1002/ana.410420206 · Cited by 474
Pauling, L. (1961) · Science · doi:10.1126/science.134.3471.15 · Cited by 432
Regularization of Diffusion-Based Direction Maps for the Tracking of Brain White Matter Fascicles
Poupon, C., Clark, C. A., Frouin, V., Régis, J., Bloch, I., Le Bihan, D., & Mangin, J.-F. (2000) · NeuroImage · doi:10.1006/nimg.2000.0607 · Cited by 429
Self-citationLe Bihan, D. (2013) · Radiology · doi:10.1148/radiol.13130420 · Cited by 397
Self-citationTurkbey, B., Shah, V. P., Pang, Y., Bernardo, M., Xu, S., Kruecker, J., Locklin, J., Baccala, A. A., Rastinehad, A. R., Merino, M. J., et al. (2011) · Radiology · doi:10.1148/radiol.10100667 · Cited by 389
Technology Insight: water diffusion MRI—a potential new biomarker of response to cancer therapy
Patterson, D. M., Padhani, A. R., & Collins, D. J. (2008) · Nature Clinical Practice Oncology · doi:10.1038/ncponc1073 · Cited by 365
Cui, Y., Zhang, X.-P., Sun, Y.-S., Tang, L., & Shen, L. (2008) · Radiology · doi:10.1148/radiol.2483071407 · Cited by 361
The Human Connectome Project and beyond: Initial applications of 300mT/m gradients
McNab, J. A., Edlow, B. L., Witzel, T., Huang, S. Y., Bhat, H., Heberlein, K., Feiweier, T., Liu, K., Keil, B., Cohen-Adad, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.074 · Cited by 359
Koh, D.-M., Scurr, E., Collins, D., Kanber, B., Norman, A., Leach, M. O., & Husband, J. E. (2007) · American Journal of Roentgenology · doi:10.2214/ajr.06.0601 · Cited by 344
The “wet mind”: Water and functional neuroimaging
Bihan, D. L. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/7/r02 · Cited by 320
Self-citationSun, Y.-S., Zhang, X.-P., Tang, L., Ji, J.-F., Gu, J., Cai, Y., & Zhang, X.-Y. (2010) · Radiology · doi:10.1148/radiol.2541082230 · Cited by 292
MR color mapping of myelin fiber orientation
Douek, P., Turner, R., Pekar, J., Patronas, N., & Bihan, D. L. (1991) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199111000-00003 · Cited by 274
Direct and fast detection of neuronal activation in the human brain with diffusion MRI
Le Bihan, D., Urayama, S.-I., Aso, T., Hanakawa, T., & Fukuyama, H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600644103 · Cited by 272
Humphries, P. D., Sebire, N. J., Siegel, M. J., & Olsen, Ø. E. (2007) · Radiology · doi:10.1148/radiol.2452061535 · Cited by 266
Textura del sistema nervioso del hombre y de los vertebrados
Agüeras, S. R. Y. C. (1992) · Dialnet (Universidad de la Rioja) · Cited by 263
Crick, F. (1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90020-0 · Cited by 254
Iima, M., Yano, K., Kataoka, M., Umehana, M., Murata, K., Kanao, S., Togashi, K., & Le Bihan, D. (2015) · Investigative Radiology · doi:10.1097/rli.0000000000000094 · Cited by 189
Self-citationTheoretical models of the diffusion weighted MR signal
Yablonskiy, D. A., & Sukstanskii, A. L. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1520 · Cited by 173
The CONNECT project: Combining macro- and micro-structure
Assaf, Y., Alexander, D., Jones, D., Bizzi, A., Behrens, T. E., Clark, C., Cohen, Y., Dyrby, T., Hüppi, P., Knoesche, T., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.055 · Cited by 135
Pitfalls and potential of clinical diffusion-weighted MR imaging in acute stroke.
Warach, S. J., Boska, M. D., & Welch, K. M. A. (1997) · PubMed · Cited by 116
Nakajo, M., Nakajo, M., Kajiya, Y., Kaneko, Y., Kaneko, Y., Takasaki, T., Tani, A., Ueno, M., Koriyama, C., Nakajo, M., et al. (2010) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-010-1529-7 · Cited by 115
A Molecular Theory of General Anesthesia
Pauling, L. C. (1960) · Profiles in Science · Cited by 104
Water diffusion in brain cortex closely tracks underlying neuronal activity
Tsurugizawa, T., Ciobanu, L., & Le Bihan, D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303178110 · Cited by 93
Self-citationYuan, J., Yeung, D. K. W., Mok, G. S. P., Bhatia, K. S. S., Wáng, Y. X. J., Ahuja, A. T., & King, A. D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087024 · Cited by 85
Iima, M., Reynaud, O., Tsurugizawa, T., Ciobanu, L., Li, J., Geffroy, F., Djemaï, B., Umehana, M., & Bihan, D. L. (2014) · Investigative Radiology · doi:10.1097/rli.0000000000000040 · Cited by 84
Self-citationPyatigorskaya, N., Bihan, D. L., Reynaud, O., & Ciobanu, L. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24921 · Cited by 80
Anderson, S. W., Barry, B., Soto, J. A., Ozonoff, A., O’Brien, M. J., & Jara, H. J. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24234 · Cited by 65
Non-Gaussian Diffusion Imaging for Enhanced Contrast of Brain Tissue Affected by Ischemic Stroke
Grinberg, F., Farrher, E., Ciobanu, L., Geffroy, F., Bihan, D. L., & Shah, N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089225 · Cited by 63
Diffusion Tensor Imaging Analysis for Psychiatric Disorders
Shizukuishi, T., Abe, O., & Aoki, S. (2013) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.2012-0082 · Cited by 60
Dreher, W., Kühn, B., Gyngell, M. L., Busch, E. W., Niendorf, T., Hossmann, K., & Leibfritz, D. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390605 · Cited by 54
Filli, L., Wurnig, M. C., Nanz, D., Luechinger, R., Kenkel, D., & Boss, A. (2014) · Investigative Radiology · doi:10.1097/rli.0000000000000082 · Cited by 51
An intrinsic diffusion response function for analyzing diffusion functional MRI time series
Aso, T., Urayama, S.-I., Poupon, C., Sawamoto, N., Fukuyama, H., & Bihan, D. L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.027 · Cited by 47
Usefulness of Diffusion/Perfusion-weighted MRI in Rat Gliomas
Fan, G., Peizhuo, Z., Fengdong, J., Wu, Z., & Guo, Q. (2005) · Academic Radiology · doi:10.1016/j.acra.2005.01.024 · Cited by 38
(1999) · doi:10.1002/1531-8249(199902)45:2<265::aid-ana21>3.0.co;2-3
Cited by
Mann, R. M., Cho, N., & Moy, L. (2019) · Radiology · doi:10.1148/radiol.2019182947 · Cited by 917
Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics
Demirtaş, M., Burt, J. B., Helmer, M., Ji, J. L., Adkinson, B. D., Glasser, M. F., Van Essen, D. C., Sotiropoulos, S. N., Anticevic, A., & Murray, J. D. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.017 · Cited by 359
Metadata
- Authors
- Le Bihan, D., & Iima, M.
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-07-23
- Volume
- 13
- Issue
- 7
- Pages
- e1002203
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W1857174369
- Cited by
- 297
- References
- 56
- FWCI
- 13.55
- Type
- journal article
- Language
- en
- Open access
- gold
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