The DOI matches its Crossref record.
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Abstract
A derivation is given of the effect of a time-dependent magnetic field gradient on the spin-echo experiment, particularly in the presence of spin diffusion. There are several reasons for preferring certain kinds of time-dependent magnetic field gradients to the more usual steady gradient. If the gradient is reduced during the rf pulses, H1 need not be particularly large; if the gradient is small at the time of the echo, the echo will be broad and its amplitude easy to measure. Both of these relaxations of restrictions on the measurement of diffusion coefficients by the spin-echo technique serve to extend its range of applicability. Furthermore, a pulsed gradient can be recommended when it is critical to define the precise time period over which diffusion is being measured. The theoretical expression derived has been verified experimentally for several choices of time dependent magnetic field gradient. An apparatus is described suitable for the production of pulsed gradients with amplitudes as large as 100 G cm−1. The diffusion coefficient of dry glycerol at 26°±1°C has been found to be (2.5±0.2)×10−8 cm2 sec−1, a value smaller than can ordinarily be measured by the steady gradient method.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 13
- 1950, Phys. Rev., 80, 580, 10.1103/PhysRev.80.580 · DOI
- 1953, Phys. Today, 6, 4, 10.1063/1.3061075 · DOI
- 1954, Phys. Rev., 94, 630, 10.1103/PhysRev.94.630 · DOI
- 1961, J. Chem. Phys., 34, 2057, 10.1063/1.1731821 · DOI
- 1963, Ber. Bunsenges. Physik. Chem., 67, 336, 10.1002/bbpc.19630670312 · DOI
- 1963, J. Phys. Chem., 67, 1365, 10.1021/j100800a509 · DOI
- 1955, J. Appl. Phys., 26, 1324, 10.1063/1.1721903 · DOI
- 1956, Phys. Rev., 104, 563, 10.1103/PhysRev.104.563 · DOI · Paper page
- 1963, Rev. Sci. Instr., 34, 971, 10.1063/1.1718665 · DOI
- 1958, Rev. Sci. Instr., 29, 55, 10.1063/1.1716004 · DOI
- 1958, Phys. Rev., 111, 1201, 10.1103/PhysRev.111.1201 · DOI · Paper page
- 1956, Chem. Rev., 56, 387, 10.1021/cr50009a001 · DOI
- 1959, J. Chem. Phys., 31, 1555, 10.1063/1.1730651 · DOI
Cited by
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 4,628
Le 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
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880
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
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
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
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
Diffusion in Brain Extracellular Space
Syková, E., & Nicholson, C. (2008) · Physiological Reviews · doi:10.1152/physrev.00027.2007 · Cited by 1,481
Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Wedeen, V. J., Hagmann, P., Tseng, W. I., Reese, T. G., & Weisskoff, R. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20642 · Cited by 1,339
MRI quantification of non-gaussian water diffusion by kurtosis analysis
Jensen, J. H., & Helpern, J. A. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1518 · Cited by 1,251
Thulborn, K. R., Waterton, J. C., Matthews, P. M., & Radda, G. K. (1982) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(82)90333-6 · Cited by 1,134
Free water elimination and mapping from diffusion MRI
Pasternak, O., Sochen, N., Gur, Y., Intrator, N., & Assaf, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22055 · Cited by 1,092
Jeurissen, B., Leemans, A., Tournier, J., Jones, D. K., & Sijbers, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22099 · Cited by 1,088
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812
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
Mapping Human Whole-Brain Structural Networks with Diffusion MRI
Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V. J., Meuli, R., & Thiran, J.-P. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000597 · Cited by 788
A review of diffusion tensor imaging studies in schizophrenia
Kubicki, M., McCarley, R., Westin, C.-F., Park, H.-J., Maier, S., Kikinis, R., Jolesz, F. A., & Shenton, M. E. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2005.05.005 · Cited by 769
Diffusion MRI of complex neural architecture.
Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00758-x · Cited by 698
Analysis of partial volume effects in diffusion‐tensor MRI
Alexander, A. L., Hasan, K. M., Lazar, M., Tsuruda, J. S., & Parker, D. L. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1105 · Cited by 695
Orientationally invariant indices of axon diameter and density from diffusion MRI
Alexander, D. C., Hubbard, P. L., Hall, M. G., Moore, E. A., Ptito, M., Parker, G. J. M., & Dyrby, T. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.043 · Cited by 683
Echo-Planar Imaging: Magnetic Resonance Imaging in a Fraction of a Second
Stehling, M. K., Turner, R., & Mansfield, P. (1991) · Science · doi:10.1126/science.1925560 · Cited by 623
Diffusion MRI fiber tractography of the brain
Jeurissen, B., Descoteaux, M., Mori, S., & Leemans, A. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3785 · Cited by 574
“Diffusion MRI (dMRI) uses a specific type of MRI sequence that is sensitive to the random microscopic motion (or diffusion) of water molecules.(1) The coherent arrangement of fibers in brain tissue introduces a directional dependence to this motion, as water molecules are less hindered along the fibers than in their p…”
BackgroundParker, G. J. M., Haroon, H. A., & Wheeler‐Kingshott, C. A. M. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10350 · Cited by 527
An investigation of functional and anatomical connectivity using magnetic resonance imaging
Koch, M. A., Norris, D. G., & Hund-Georgiadis, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.1052 · Cited by 509
An analytical model of restricted diffusion in bovine optic nerve
Stanisz, G. J., Wright, G. A., Henkelman, R. M., & Szafer, A. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370115 · Cited by 501
Diffusion 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
Molecular diffusion, tissue microdynamics and microstructure
Bihan, D. L. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080711 · Cited by 497
Our current understanding of water-in-crude oil emulsions.
Sjöblom, J., Aske, N., Harald Auflem, I., Brandal, Ø., Erik Havre, T., Sæther, Ø., Westvik, A., Eng Johnsen, E., & Kallevik, H. (2003) · Advances in Colloid and Interface Science · doi:10.1016/s0001-8686(02)00066-0 · Cited by 476
Imaging brain function in humans at 7 Tesla
Yacoub, E., Shmuel, A., Pfeuffer, J., Van De Moortele, P., Adriany, G., Andersen, P., Vaughan, J. T., Merkle, H., Ugurbil, K., & Hu, X. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1080 · Cited by 448
Understanding the Physiopathology Behind Axial and Radial Diffusivity Changes—What Do We Know?
Winklewski, P. J., Sabisz, A., Naumczyk, P., Jodzio, K., Szurowska, E., & Szarmach, A. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00092 · Cited by 463
Methodology of brain perfusion imaging
Barbier, E. L., Lamalle, L., & Décorps, M. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1073 · Cited by 404
Schuster, M., Rager, T., Noda, A., Kreuer, K. D., & Maier, J. (2005) · Fuel Cells · doi:10.1002/fuce.200400059 · Cited by 325
The diagnostic accuracy of ex vivo MRI for human atherosclerotic plaque characterization
Shinnar, M., Fallon, J. T., Wehrli, S., Levin, M., Dalmacy, D., Fayad, Z. A., Badimon, J. J., Harrington, M., Harrington, E., & Fuster, V. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.11.2756 · Cited by 316
Mild cognitive impairment and Alzheimer disease: regional diffusivity of water
Kantarci, K., Jack, C. R., Xu, Y. C., Campeau, N. G., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Kokmen, E., Tangalos, E. G., et al. (2001) · Radiology · doi:10.1148/radiology.219.1.r01ap14101 · Cited by 300
Evaluation and statistical inference for human connectomes
Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N., & Wandell, B. A. (2014) · Nature Methods · doi:10.1038/nmeth.3098 · Cited by 259
MR diffusion imaging of cerebral infarction in humans.
(1992) · PubMed Central · Cited by 258
DWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment
Kantarci, K., Petersen, R. C., Boeve, B. F., Knopman, D. S., Weigand, S. D., O’Brien, P. C., Shiung, M. M., Smith, G. E., Ivnik, R. J., Tangalos, E. G., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000153076.46126.e9 · Cited by 251
Oscillating gradient measurements of water diffusion in normal and globally ischemic rat brain
Does, M. D., Parsons, E. C., & Gore, J. C. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10385 · Cited by 246
Beaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320506 · Cited by 240
Detecting axon damage in spinal cord from a mouse model of multiple sclerosis
Kim, J. H., Budde, M. D., Liang, H.-F., Klein, R. S., Russell, J. H., Cross, A. H., & Song, S.-K. (2006) · Neurobiology of Disease · doi:10.1016/j.nbd.2005.09.009 · Cited by 235
Electroosmotic drag in polymer electrolyte membranes: an electrophoretic NMR study
Ise, M., Kreuer, K. D., & Maier, J. (1999) · Solid State Ionics · doi:10.1016/s0167-2738(99)00178-2 · Cited by 235
High b‐value q‐space analyzed diffusion‐weighted MRI: Application to multiple sclerosis
Assaf, Y., Ben‐Bashat, D., Chapman, J., Peled, S., Biton, I. E., Kafri, M., Segev, Y., Hendler, T., Korczyn, A. D., Graif, M., et al. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10040 · Cited by 234
Analytical and statistical approaches to metabolomics research
Issaq, H. J., Van, Q. N., Waybright, T. J., Muschik, G. M., & Veenstra, T. D. (2009) · Journal of Separation Science · doi:10.1002/jssc.200900152 · Cited by 227
Is diffusion anisotropy an accurate monitor of myelination?
Mädler, B., Drabycz, S. A., Kolind, S. H., Whittall, K. P., & MacKay, A. L. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.01.047 · Cited by 227
Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain
Grech‐Sollars, M., Hales, P. W., Miyazaki, K., Raschke, F., Rodriguez, D., Wilson, M., Gill, S. K., Banks, T., Saunders, D. E., Clayden, J. D., et al. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3269 · Cited by 213
Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play
Jack, C. R. (2012) · Radiology · doi:10.1148/radiol.12110433 · Cited by 211
Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates
Janelle, F., Iorio-Morin, C., D'amour, S., & Fortin, D. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.794618 · Cited by 189
Carlier, P. G., Marty, B., Scheidegger, O., Loureiro de Sousa, P., Baudin, P.-Y., Snezhko, E., & Vlodavets, D. (2016) · Journal of Neuromuscular Diseases · doi:10.3233/jnd-160145 · Cited by 186
Lenglet, C., Abosch, A., Yacoub, E., De Martino, F., Sapiro, G., & Harel, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029153 · Cited by 164
“N Diffusion MRI was acquired with a single refocused 2D singleshot spin echo EPI sequence [62] using the following parameters: FOV = 1926192699 mm(3), matrix size = 1286 128666 (1.”
MethodMobility transition from ballistic to diffusive transport in non-Hermitian lattices
Eichelkraut, T., Heilmann, R., Weimann, S., Stützer, S., Dreisow, F., Christodoulides, D. N., Nolte, S., & Szameit, A. (2013) · Nature Communications · doi:10.1038/ncomms3533 · Cited by 153
Spreading waves of decreased diffusion coefficient lifter cortical stimulation in the rat brain
Latour, L. L., Hasegawa, Y., Formato, J. E., Fisher, M., & Sotak, C. H. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320207 · Cited by 136
Liu, S.-J., Zheng, P., Wright, D. K., Dezsi, G., Braine, E., Nguyen, T., Corcoran, N. M., Johnston, L. A., Hovens, C. M., Mayo, J. N., et al. (2016) · Brain · doi:10.1093/brain/aww116 · Cited by 127
Human brain: Proton diffusion MR spectroscopy
Posse, S., Cuenod, C. A., & Le Bihan, D. (1993) · Radiology · doi:10.1148/radiology.188.3.8351339 · Cited by 122
Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo
Grussu, F., Schneider, T., Zhang, H., Alexander, D. C., & Wheeler–Kingshott, C. A. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.045 · Cited by 118
The sensitivity of diffusion MRI to microstructural properties and experimental factors
Afzali, M., Pieciak, T., Newman, S., Garyfallidis, E., Özarslan, E., Cheng, H., & Jones, D. K. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108951 · Cited by 117
Probing mouse brain microstructure using oscillating gradient diffusion MRI
Aggarwal, M., Jones, M. V., Calabresi, P. A., Mori, S., & Zhang, J. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22981 · Cited by 117
Sotiropoulos, S. N., Hernández-Fernández, M., Vu, A. T., Andersson, J. L., Moeller, S., Yacoub, E., Lenglet, C., Ugurbil, K., Behrens, T. E. J., & Jbabdi, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.014 · Cited by 110
Demiral, Ş. B., Tomasi, D., Sarlls, J., Lee, H., Wiers, C. E., Zehra, A., Srivastava, T., Ke, K., Shokri-Kojori, E., Freeman, C. R., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.043 · Cited by 110
Sensitivity of multi-shell NODDI to multiple sclerosis white matter changes: a pilot study
Schneider, T. (2017) · Functional Neurology · doi:10.11138/fneur/2017.32.2.097 · Cited by 104
Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?
Schilling, K., Gao, Y., Janve, V., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3787 · Cited by 102
The tensor distribution function
Leow, A. D., Zhu, S., Zhan, L., McMahon, K., de Zubicaray, G. I., Meredith, M., Wright, M. J., Toga, A. W., & Thompson, P. M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21852 · Cited by 101
Functional magnetic resonance imaging: A review of methodological aspects and clinical applications
Hennig, J., Speck, O., Koch, M. A., & Weiller, C. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10330 · Cited by 100
Liebrand, L. C., Caan, M. W. A., Schuurman, P. R., van den Munckhof, P., Figee, M., Denys, D., & van Wingen, G. A. (2019) · Brain Stimulation · doi:10.1016/j.brs.2018.11.014 · Cited by 98
Harnessing cerebrospinal fluid circulation for drug delivery to brain tissues
Naseri Kouzehgarani, G., Feldsien, T., Engelhard, H. H., Mirakhur, K. K., Phipps, C., Nimmrich, V., Clausznitzer, D., & Lefebvre, D. R. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.03.002 · Cited by 95
Martin, F.-P. J., Wang, Y., Sprenger, N., Holmes, E., Lindon, J. C., Kochhar, S., & Nicholson, J. K. (2007) · Journal of Proteome Research · doi:10.1021/pr060596a · Cited by 87
Yang, J. Y.-M., Yeh, C.-H., Poupon, C., & Calamante, F. (2021) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ac0d90 · Cited by 80
How does angular resolution affect diffusion imaging measures?
Zhan, L., Leow, A. D., Jahanshad, N., Chiang, M.-C., Barysheva, M., Lee, A. D., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.057 · Cited by 79
Mapping connectivity in the developing brain
Dennis, E. L., & Thompson, P. M. (2013) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2013.05.007 · Cited by 79
Coelho, S., Pozo, J. M., Jespersen, S. N., Jones, D. K., & Frangi, A. F. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27714 · Cited by 76
Whole mouse brain structural connectomics using magnetic resonance histology
Wang, N., Anderson, R. J., Badea, A., Cofer, G., Dibb, R., Qi, Y., & Johnson, G. A. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1750-x · Cited by 71
An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond
Alexander, D. C. (2006) · Mathematics and Visualization · doi:10.1007/3-540-31272-2_5 · Cited by 70
Neurite 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
Design of intrinsically disordered protein variants with diverse structural properties
Pesce, F., Bremer, A., Tesei, G., Hopkins, J. B., Grace, C. R., Mittag, T., & Lindorff-Larsen, K. (2024) · Science Advances · doi:10.1126/sciadv.adm9926 · Cited by 60
Angular versus spatial resolution trade-offs for diffusion imaging under time constraints
Zhan, L., Jahanshad, N., Ennis, D. B., Jin, Y., Bernstein, M. A., Borowski, B. J., Jack, C. R., Toga, A. W., Leow, A. D., & Thompson, P. M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22094 · Cited by 52
Abelein, A., Ciofi-Baffoni, S., Mörman, C., Kumar, R., Giachetti, A., Piccioli, M., & Biverstål, H. (2022) · JACS Au · doi:10.1021/jacsau.2c00438 · Cited by 52
Advancements in diffusion MRI tractography for neurosurgery
Kamagata, K., Andica, C., Uchida, W., Takabayashi, K., Saito, Y., Lukies, M., Hagiwara, A., Fujita, S., Akashi, T., Wada, A., et al. (2024) · Investigative Radiology · doi:10.1097/rli.0000000000001015 · Cited by 50
Lampinen, B., Szczepankiewicz, F., Lätt, J., Knutsson, L., Mårtensson, J., Björkman-Burtscher, I. M., van Westen, D., Sundgren, P. C., Ståhlberg, F., & Nilsson, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120338 · Cited by 38
Ianuş, A., Carvalho, J., Fernandes, F. F., Cruz, R., Chavarrias, C., Palombo, M., & Shemesh, N. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119135 · Cited by 40
Modifications Modulate Anticodon Loop Dynamics and Codon Recognition of E. coli tRNAArg1,2
Cantara, W. A., Bilbille, Y., Kim, J., Kaiser, R., Leszczyńska, G., Malkiewicz, A., & Agris, P. F. (2012) · Journal of Molecular Biology · doi:10.1016/j.jmb.2011.12.054 · Cited by 36
Nir, T. M., Jahanshad, N., Villalon‐Reina, J. E., Isaev, D., Zavaliangos‐Petropulu, A., Zhan, L., Leow, A. D., Jack, C. R., Weiner, M. W., Thompson, P. M., et al. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26623 · Cited by 34
White matter biomarkers from diffusion MRI
Nørhøj Jespersen, S. (2018) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2018.03.001 · Cited by 34
Giesecke, M., Hallberg, F., Fang, Y., Stilbs, P., & Furó, I. (2016) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.6b08923 · Cited by 27
The domain swapping of human cystatin C induced by synchrotron radiation
Taube, M., Pietralik, Z., Szymanska, A., Szutkowski, K., Clemens, D., Grubb, A., & Kozak, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-44811-1 · Cited by 20
Temperature dependence of water diffusion pools in brain white matter
Dhital, B., Labadie, C., Stallmach, F., Möller, H. E., & Turner, R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.064 · Cited by 16
Kershaw, J., Tomiyasu, M., Kashikura, K., Hirano, Y., Nonaka, H., Hirano, M., Ikehira, H., Kanno, I., & Obata, T. (2009) · NMR in Biomedicine · doi:10.1002/nbm.1391 · Cited by 14
Engineering clinical translation of OGSE diffusion MRI
Zhu, A., Michael, E. S., Li, H., Sprenger, T., Hua, Y., Lee, S., Yeo, D. T. B., McNab, J. A., Hennel, F., Fieremans, E., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30510 · Cited by 13
The Duke Mouse Brain Atlas: MRI and light sheet microscopy stereotaxic atlas of the mouse brain
Mansour, H., Azrak, R., Cook, J. J., Hornburg, K. J., Qi, Y., Tian, Y., Williams, R. W., Yeh, F.-C., White, L. E., & Johnson, G. A. (2025) · Science Advances · doi:10.1126/sciadv.adq8089 · Cited by 11
Hydration of Intrinsically Disordered Proteins from Wide‐Line NMR
Tompa, K., Bokor, M., & Tompa, P. (2010) · Instrumental Analysis of Intrinsically Disordered Proteins · doi:10.1002/9780470602614.ch12 · Cited by 8
Effect of inaccurate b-values from imaging gradients on intravoxel incoherent motion
Rashid, I. A., Szczepankiewicz, F., Gunnlaugsson, A., Olsson, L. E., & Brynolfsson, P. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30579 · Cited by 8
A cross‐comparative analysis of in vivo versus ex vivo MRI indices in a mouse model of concussion
Vinh To, X., Kurniawan, N. D., Cumming, P., & Nasrallah, F. A. (2023) · Brain Research · doi:10.1016/j.brainres.2023.148562 · Cited by 5
Magnetic Resonance Imaging of the Common Marmoset Head
Lee, V.-M., Burdett, N. G., Carpenter, T. A., Herrod, N. J., James, M. F., & Hall, L. D. (1998) · Alternatives to Laboratory Animals · doi:10.1177/026119299802600309 · Cited by 5
Magnetic resonance imaging techniques for monitoring glioma response to chemoradiotherapy
Lawrence, L. S. P., Maralani, P. J., Das, S., Sahgal, A., Stanisz, G. J., & Lau, A. Z. (2025) · Journal of Neuro-Oncology · doi:10.1007/s11060-024-04856-3 · Cited by 4
Tian, Y., Hornburg, K., Austin, W., Cook, J. J., Qi, Y., White, L. E., Killmar, J. T., Kaczorowski, C. C., Ashbrook, D. G., Johnson, G. A., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-025-02199-4 · Cited by 1
Han, X., Hu, R., Ping, X., Chen, J., Liu, J., Liu, Z., Jin, X., Gao, X., Lin, M., Zhao, Y., et al. (2026) · Alzheimer's & Dementia · doi:10.1002/alz.71908
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“…diffusion-sensitizing gradient pulses could encode translational motion in a controlled way through diffusion-driven signal attenuation caused by phase-shift dispersion from molecular displacements within the inhomogeneous magnetic field generated by the gradient pulses ( Stejskal & Tanner, 1965).”
NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions
Marincin, K. A., Hwang, Y., Kengmana, E. S., Meyers, D. J., & Frueh, D. P. (2022) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2022.107265
Metadata
- Authors
- Stejskal, E. O., & Tanner, J. E.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1965-01-01
- Volume
- 42
- Issue
- 1
- Pages
- 288-292
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2084761689
- Cited by
- 8,286
- References
- 0
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.