Water diffusion in the giant axon of the squid: implications for diffusion-weighted MRI of the nervous system
Abstract
To clarify the result that marked diffusional anisotropy had been found in nomyelinated nerve, and in completion of an evaluation of the role of all longitudinal axonal structures, we report NMR measurements of water diffusion in the giant axon of the squid, where diffusional anisotropy is determined by the neurofilamentary structure. The diffusion coefficients of water parallel and perpendicular to the long axis of the squid giant axon at 20 degrees C are (1.61 +/- 0.06) x 10(-5) cm2 s-1 and (1.33 +/- 0.09) x 10(-5) cm2 s-1, respectively, which yield an anisotropic diffusion ratio of 1.2 +/- 0.1. Water diffusion in the squid giant axon is therefore quite rapid and nearly isotropic, thus eliminating the possibility of a significant role for the longitudinally oriented neurofilaments in producing diffusional anisotropy within the axoplasm. In conjunction with our work on garfish nerves therefore, only membranes, either as numerous axonal membranes or as myelin (if present), remain to fulfill the role of the primary determinant of anisotropic water diffusion in nerve and in white matter.
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When interpreting DTI indices as measures of white matter microstructure, they are influenced not only by biological properties of white matter such as axon myelin, diameter, and density but also by the orientational complexity and organisation of the fibre architecture.
“When interpreting DTI indices as measures of white matter microstructure, it is important to recognise that they are not only influenced by biological properties of white matter such as axon myelin, diameter, and density but also by the orientational complexity and organisation of the fibre architecture (Beaulieu and Allen, 1994).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Beaulieu and Allen, 1994
Cites
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239 · see citing works
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 · see citing works
Self-diffusion in normal and heavy water in the range 1-45.deg.
Mills, R. (1973) · The Journal of Physical Chemistry · doi:10.1021/j100624a025 · Cited by 1,726 · see citing works
Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system.
Moseley, M. E., Cohen, Y., Kucharczyk, J. R., Mintorovitch, J., Asgari, H. S., Wendland, M. F., Tsuruda, J. S., & Norman, D. M. (1990) · Radiology · doi:10.1148/radiology.176.2.2367658 · Cited by 1,132 · see citing works
Solvent suppression in fourier transform nuclear magnetic resonance
Hore, P. J. (1983) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(83)90240-8 · Cited by 771 · see citing works
Determinants of anisotropic water diffusion in nerves
Beaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310408 · Cited by 606 · see citing works
Self-citationTime-dependent diffusion of water in a biologicalmodel system.
Latour, L. L., Svoboda, K., Mitra, P. P., & Sotak, C. H. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.4.1229 · Cited by 517 · see citing works
Anisotropic diffusion in human white matter: demonstration with MR techniques in vivo.
Chenevert, T. L., Brunberg, J. A., & Pipe, J. G. (1990) · Radiology · doi:10.1148/radiology.177.2.2217776 · Cited by 503 · see citing works
The Functioning of the Giant Nerve Fibres of the Squid1
Young, J. Z. (1938) · Journal of Experimental Biology · doi:10.1242/jeb.15.2.170 · Cited by 161 · see citing works
Gilbert, D. L., Adelman, W. J., & Arnold, J. M. (1990) · Springer eBooks · doi:10.1007/978-1-4899-2489-6 · Cited by 147 · see citing works
Perry, G. L. (1992) · Neurology · doi:10.1212/wnl.42.5.1130-b · Cited by 145 · see citing works
The structure of nerve fibres in cephalopods and crustacea
Young, J. Z. (1936) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1936.0069 · Cited by 81 · see citing works
Hong, X., & Dixon, W. T. (1992) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(92)90210-x · Cited by 63 · see citing works
THE DIFFUSION OF WATER IN STRIATED MUSCLE*
Rorschach, H. E., Chang, D. C., Hazlewood, C. F., & Nichols, B. L. (1973) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1973.tb30797.x · Cited by 39 · see citing works
The Nerve Impulse and the Squid
Keynes, R. D. (1958) · Scientific American · doi:10.1038/scientificamerican1258-83 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
Self-citationDiffusion 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 · see citing works
Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review
Basser, P. J., & Jones, D. K. (2002) · NMR in Biomedicine · doi:10.1002/nbm.783 · Cited by 1,484 · see citing works
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987 · see citing works
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“When interpreting DTI indices as measures of white matter microstructure, it is important to recognise that they are not only influenced by biological properties of white matter such as axon myelin, diameter, and density but also by the orientational complexity and organisation of the fibre architecture (Beaulieu and…”
van den Heuvel, M. P., Mandl, R. C. W., Stam, C. J., Kahn, R. S., & Pol, H. E. H. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2874-10.2010 · Cited by 662 · see citing works
Diffusion tensor imaging and aging
Sullivan, E. V., & Pfefferbaum, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.002 · Cited by 649 · see citing works
An Introduction to Diffusion Tensor Image Analysis
O’Donnell, L. J., & Westin, C. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2010.12.004 · Cited by 533 · see citing works
Theoretical Model for Water Diffusion in Tissues
Szafer, A., Zhong, J., & Gore, J. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330516 · Cited by 522 · see citing works
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 · see citing works
Molecular diffusion, tissue microdynamics and microstructure
Bihan, D. L. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080711 · Cited by 497 · see citing works
Studying connections in the living human brain with diffusion MRI
Jones, D. K. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.002 · Cited by 480 · see citing works
Alexander, A. L., Hurley, S. A., Samsonov, A. A., Adluru, N., Hosseinbor, A. P., Mossahebi, P., Tromp, D., Zakszewski, E., & Field, A. S. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0071 · Cited by 450 · see citing works
Thomalla, G., Glauche, V., Koch, M. A., Beaulieu, C., Weiller, C., & Röther, J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.041 · Cited by 438 · see citing works
Self-citationAnisotropy of NMR properties of tissues
Henkelman, R. M., Stanisz, G. J., Kim, J. K., & Bronskill, M. J. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320508 · Cited by 425 · see citing works
The Neonatal Connectome During Preterm Brain Development
van den Heuvel, M. P., Kersbergen, K. J., de Reus, M. A., Keunen, K., Kahn, R. S., Groenendaal, F., de Vries, L. S., & Benders, M. J. N. L. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu095 · Cited by 386 · see citing works
Budde, M. D., Janes, L., Gold, E., Turtzo, L. C., & Frank, J. A. (2011) · Brain · doi:10.1093/brain/awr161 · Cited by 408 · see citing works
Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging
Pfefferbaum, A., Elfar Adalsteinsson, A., & Sullivan, E. V. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.034 · Cited by 350 · 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
MR diffusion kurtosis imaging for neural tissue characterization
Wu, E. X., & Cheung, M. M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1506 · Cited by 351 · see citing works
Revealing mesoscopic structural universality with diffusion
Novikov, D. S., Jensen, J. H., Helpern, J. A., & Fieremans, E. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316944111 · Cited by 348 · see citing works
Rosas, H. D., Tuch, D. S., Hevelone, N. D., Zaleta, A. K., Vangel, M. G., Hersch, S. M., & Salat, D. H. (2006) · Movement Disorders · doi:10.1002/mds.20979 · Cited by 343 · see citing works
Quantitative magnetic resonance imaging of brain anatomy and in vivo histology
Weiskopf, N., Edwards, L., Helms, G., Mohammadi, S., & Kirilina, E. P. (2021) · Nature Reviews Physics · doi:10.1038/s42254-021-00326-1 · Cited by 294 · see citing works
Theoretical analysis of the effects of noise on diffusion tensor imaging
Anderson, A. W. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1315 · Cited by 278 · see citing works
Sullivan, E. V., Adalsteinsson, E., & Pfefferbaum, A. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj045 · Cited by 280 · see citing works
Changes in water diffusion due to Wallerian degeneration in peripheral nerve
Beaulieu, C., Does, M. D., Snyder, R. E., & Allen, P. S. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360419 · Cited by 263 · see citing works
Self-citationWozniak, J. R., & Lim, K. O. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.003 · Cited by 255 · see citing works
Prenatal maternal depression associates with microstructure of right amygdala in neonates at birth.
Rifkin-Graboi, A., Bai, J., Chen, H., Hameed, W. B., Sim, L. W., Tint, M. T., Leutscher-Broekman, B., Chong, Y.-S., Gluckman, P. D., Fortier, M. V., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.06.019 · Cited by 258 · see citing works
Diffusion tensor imaging of cryptogenic and acquired partial epilepsies
Rugg‐Gunn, F. J. (2001) · Brain · doi:10.1093/brain/124.3.627 · Cited by 256 · see citing works
Apparent diffusion tensor measurements in myelin-deficient rat spinal cords
Gulani, V., WEBB, A. G., Duncan, I. D., & Lauterbur, P. C. (2001) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200102)45:2 · Cited by 249 · see citing works
Design and Validation of Diffusion MRI Models of White Matter
Jelescu, I. O., & Budde, M. D. (2017) · Frontiers in Physics · doi:10.3389/fphy.2017.00061 · Cited by 240 · see citing works
Neurite beading is sufficient to decrease the apparent diffusion coefficient after ischemic stroke
Budde, M. D., & Frank, J. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004841107 · Cited by 229 · see citing works
The Biological Basis of Diffusion Anisotropy
Beaulieu, C. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00006-7 · Cited by 231 · see citing works
Self-citationIs 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 · see citing works
In utero tractography of fetal white matter development
Kasprian, G. J., Brugger, P. C., Weber, M., Krššák, M., Krampl, E., Herold, C., & Prayer, D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.026 · Cited by 218 · see citing works
Yu, C., Zhu, C., Zhang, Y., Chen, H., Qin, W., Wang, M., & Li, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.066 · Cited by 218 · see citing works
Chabriat, H., Pappata, S., Poupon, C., Clark, C. A., Vahedi, K., Poupon, F., Mangin, J. F., Pachot-Clouard, M., Jobert, A., Le Bihan, D., et al. (1999) · Stroke · doi:10.1161/01.str.30.12.2637 · Cited by 214 · see citing works
Norris, D. G. (2001) · NMR in Biomedicine · doi:10.1002/nbm.682 · Cited by 213 · see citing works
In VivoDiffusion Tensor Imaging and Histopathology of the Fimbria-Fornix in Temporal Lobe Epilepsy
Concha, L., Livy, D. J., Beaulieu, C., Wheatley, B. M., & Gross, D. W. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1619-09.2010 · Cited by 212 · see citing works
Self-citationWhite matter integrity and cognition in childhood and old age
Deary, I. J., Bastin, M. E., Pattie, A., Clayden, J. D., Whalley, L. J., Starr, J. M., & Wardlaw, J. M. (2006) · Neurology · doi:10.1212/01.wnl.0000199954.81900.e2 · Cited by 207 · 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
Magnetic resonance microimaging of intraaxonal water diffusion in live excised lamprey spinal cord
Takahashi, M., Hackney, D. B., Zhang, G., Wehrli, S. L., Wright, A. C., O'Brien, W. T., Uematsu, H., Wehrli, F. W., & Selzer, M. E. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252249999 · Cited by 189 · see citing works
Jelescu, I. O., Zurek, M., Winters, K. V., Veraart, J., Rajaratnam, A., Kim, N. S., Babb, J. S., Shepherd, T. M., Novikov, D. S., Kim, S. G., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.004 · Cited by 188 · see citing works
Horsfield, M. A., Lai, M., Webb, S., Barker, G. J., Tofts, P. S., Turner, R., Rudge, P., & Miller, D. H. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360310 · Cited by 188 · see citing works
Case control study of diffusion tensor imaging in Parkinson's disease
Chan, L.-L., Rumpel, H., Yap, K., Lee, E., Loo, H.-V., Ho, G.-L., Fook-Chong, S. M. C., Yuen, Y., & Tan, E.-K. (2007) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.121525 · Cited by 188 · see citing works
The physical and biological basis of quantitative parameters derived from diffusion MRI.
Winston, G. P. (2012) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2223-4292.2012.12.05 · Cited by 174 · see citing works
Challenges for biophysical modeling of microstructure
Jelescu, I., Palombo, M., Bagnato, F. R., & Schilling, K. G. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108861 · Cited by 165 · see citing works
Nilsson, M., van Westen, D., Ståhlberg, F., Sundgren, P. C., & Lätt, J. (2013) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-013-0371-x · Cited by 151 · see citing works
Patel, B. B., & Markus, H. S. (2011) · International Journal of Stroke · doi:10.1111/j.1747-4949.2010.00552.x · Cited by 151 · see citing works
Oscillating gradient spin‐echo (OGSE) diffusion tensor imaging of the human brain
Baron, C. A., & Beaulieu, C. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24987 · Cited by 145 · see citing works
Self-citationAbsolute eigenvalue diffusion tensor analysis for human brain maturation
Suzuki, Y., Matsuzawa, H., Kwee, I. L., & Nakada, T. (2003) · NMR in Biomedicine · doi:10.1002/nbm.848 · Cited by 144 · see citing works
Nair, G., Tanahashi, Y., Low, H. P., Billings‐Gagliardi, S., Schwartz, W. J., & Duong, T. Q. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.049 · Cited by 143 · see citing works
Atypical diffusion tensor hemispheric asymmetry in autism
Lange, N., DuBray, M. B., Lee, J. E., Froimowitz, M. P., Froehlich, A., Adluru, N., Wright, B., Ravichandran, C., Fletcher, P. T., Bigler, E. D., et al. (2010) · Autism Research · doi:10.1002/aur.162 · Cited by 142 · see citing works
Verstraete, E., Veldink, J. H., van den Berg, L. H., & van den Heuvel, M. P. (2013) · Human Brain Mapping · doi:10.1002/hbm.22258 · Cited by 132 · see citing works
Wozniak, J. R., Muetzel, R. L., Mueller, B. A., Petrenko, C. L. M., Freerks, M. A., Ward, E. E., Nelson, M. L., Chang, P., & Lim, K. O. (2009) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2009.01021.x · Cited by 130 · see citing works
Takahashi, M., Ono, J., Harada, K., Maeda, M., & Hackney, D. B. (2000) · Radiology · doi:10.1148/radiology.216.3.r00se41881 · Cited by 129 · see citing works
Beaulieu, C., Fenrich, F. R., & Allen, P. S. (1998) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(98)00151-9 · Cited by 129 · see citing works
Self-citationAssessment of lesion pathology in a new animal model of MS by multiparametric MRI and DTI
Boretius, S., Escher, A., Dallenga, T., Wrzos, C., Tammer, R., Brück, W., Nessler, S., Frahm, J., & Stadelmann, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.051 · Cited by 128 · see citing works
Compartment shape anisotropy (CSA) revealed by double pulsed field gradient MR
Özarslan, E. (2009) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2009.04.002 · Cited by 125 · see citing works
Diffusion time dependence of microstructural parameters in fixed spinal cord
Jespersen, S. N., Olesen, J. L., Hansen, B., & Shemesh, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.039 · Cited by 123 · see citing works
Roychowdhury, S., Maldjian, J. A., & Grossman, R. I. (2000) · PubMed Central · Cited by 120 · see citing works
The Effect of Aging on the Apparent Diffusion Coefficient of Normal-Appearing White Matter
Engelter, S. T., Provenzale, J. M., Petrella, J. R., DeLong, D. M., & MacFall, J. R. (2000) · American Journal of Roentgenology · doi:10.2214/ajr.175.2.1750425 · Cited by 121 · see citing works
Abnormal frontal cortex white matter connections in bipolar disorder: A DTI tractography study
Lin, F., Weng, S., Xie, B., Wu, G., & Lei, H. C. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.12.018 · Cited by 113 · see citing works
Glenn, O. A., Henry, R. G., Berman, J., Chang, P. C., Miller, S. P., Vigneron, D. B., & Barkovich, A. J. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10420 · Cited by 105 · see citing works
Acosta‐Cabronero, J., & Nestor, P. J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00266 · Cited by 109 · see citing works
Diffusion tensor imaging, permanent pyramidal tract damage, and outcome in subcortical stroke
Radlinska, B. A., Ghinani, S. A., Leppert, I. R., Minuk, J., Pike, G. B., & Thiel, A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f39aa0 · Cited by 104 · see citing works
Diffusion tensor imaging segments the human amygdala in vivo
Solano-Castiella, E., Anwander, A., Lohmann, G., Weiß, M., Docherty, C., Geyer, S., Reimer, E., Friederici, A. D., & Turner, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.027 · Cited by 105 · 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
Nossin-Manor, R., Card, D., Morris, D., Noormohamed, S., Shroff, M., Whyte, H., Taylor, M. J., & Sled, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.086 · Cited by 103 · see citing works
Assaf, Y., & Cohen, Y. (1999) · NMR in Biomedicine · doi:10.1002/(sici)1099-1492(199910)12:6 · Cited by 101 · see citing works
Intra-axonal diffusivity in brain white matter
Dhital, B., Reisert, M., Kellner, E., & Kiselev, V. G. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.015 · Cited by 99 · see citing works
Diffusion-tensor imaging of cognitive performance
Moseley, M. E., Bammer, R., & Illes, J. (2002) · Brain and Cognition · doi:10.1016/s0278-2626(02)00524-9 · Cited by 100 · see citing works
Marina Barysheva, A., Jahanshad, N., Foland‐Ross, L. C., Altshuler, L. L., & Thompson, P. M. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.03.016 · Cited by 97 · see citing works
Reduction of Diffusion-Weighted Imaging Contrast of Acute Ischemic Stroke at Short Diffusion Times
Baron, C. A., Kate, M. P., Gioia, L. C., Butcher, K., Emery, D. J., Budde, M. D., & Beaulieu, C. (2015) · Stroke · doi:10.1161/strokeaha.115.008815 · Cited by 97 · see citing works
Self-citationQuantitative myelin imaging with MRI and PET: an overview of techniques and their validation status
van der Weijden, C. W. J., Biondetti, E., Gutmann, I. W., Dijkstra, H., McKerchar, R., Faria, D. D. P., de Vries, E. F. J., Meilof, J. F., Dierckx, R., Prévost, V., et al. (2022) · Brain · doi:10.1093/brain/awac436 · Cited by 95 · see citing works
Ford, J. C., Hackney, D. B., Lavi, E., Phillips, M. D., & Patel, U. J. (1998) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880080405 · Cited by 93 · see citing works
Learning-Related Gray and White Matter Changes in Humans
Taubert, M., Villringer, A., & Ragert, P. (2011) · The Neuroscientist · doi:10.1177/1073858411419048 · Cited by 89 · see citing works
Neuroimaging in vascular cognitive impairment: a state-of-the-art review
Heiss, W., Rosenberg, G. A., Thiel, A., Berlot, R., & Reuck, J. D. (2016) · BMC Medicine · doi:10.1186/s12916-016-0725-0 · Cited by 83 · see citing works
Fukutomi, H., Glasser, M. F., Murata, K., Akasaka, T., Fujimoto, K., Yamamoto, T., Autio, J. A., Okada, T., Togashi, K., Zhang, H. G., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-48671-7 · Cited by 80 · see citing works
Solvent diffusion in ordered macrofluids: A stochastic simulation study of the obstruction effect
Jóhannesson, H., & Halle, B. (1996) · The Journal of Chemical Physics · doi:10.1063/1.471347 · Cited by 79 · see citing works
Ou, X., Sun, S., Liang, H., Song, S., & Gochberg, D. F. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21850 · Cited by 76 · see citing works
Sehy, J. V., Ackerman, J. J. H., & Neil, J. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10181 · Cited by 74 · see citing works
Bourbon‐Teles, J., Bells, S., Jones, D. K., Coulthard, E. J., Rosser, A., & Metzler‐Baddeley, C. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.042 · Cited by 74 · see citing works
Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging
Mohammadi, S., & Callaghan, M. F. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108990 · Cited by 72 · see citing works
Diffusion-weighted magnetic resonance imaging fibre tracking using a front evolution algorithm
Tournier, J., Calamante, F., Gadian, D. G., & Connelly, A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00236-2 · Cited by 73 · see citing works
NMR methods applied to anisotropic diffusion
Furó, I., & Двинских, С. В. (2002) · Magnetic Resonance in Chemistry · doi:10.1002/mrc.1123 · Cited by 72 · see citing works
Diffusion tensor spectroscopy and imaging of the arcuate fasciculus
Upadhyay, J., Hallock, K., Ducros, M. G., Kim, D., & Ronen, I. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.046 · Cited by 71 · see citing works
Advances and Innovations in Brain Arteriovenous Malformation Surgery
Bendok, B. R., Tecle, N. E. E., Ahmadieh, T. Y. E., Koht, A. H., Gallagher, T. A., Carroll, T. J., Markl, M., Sabbagha, R., Sabbagha, A., Cella, D. F., et al. (2014) · Neurosurgery · doi:10.1227/neu.0000000000000230 · Cited by 71 · see citing works
Sukstanskii, A. L., Yablonskiy, D. A., & Ackerman, J. J. H. (2004) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2004.05.020 · Cited by 69 · see citing works
Ex vivo evaluation of ADC values within spinal cord white matter tracts.
Schwartz, E. D., Cooper, E. T., Chin, C., Wehrli, S. L., Tessler, A. R., & Hackney, D. B. (2005) · PubMed Central · Cited by 69 · see citing works
Arbabi, A., Kai, J., KHAN, A. R., & Baron, C. A. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28083 · 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
Self-citationDiffusion Tensor Imaging and Neuromodulation
Coenen, V. A., Schlaepfer, T. E., Allert, N., & Mädler, B. (2012) · International review of neurobiology · doi:10.1016/b978-0-12-404706-8.00011-5 · Cited by 65 · see citing works
The separate effects of lipids and proteins on brain MRI contrast revealed through tissue clearing
Leuze, C. W., Aswendt, M., Ferenczi, E., Liu, C. W., Hsueh, B., Goubran, M., Tian, Q., Steinberg, G. K., Zeineh, M., Deisseroth, K. A., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.021 · Cited by 64 · see citing works
The physical basis of diffusion-weighted MRI
Cercignani, M., & Horsfield, M. A. (2001) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(01)00486-5 · Cited by 64 · see citing works
Williamson, N. H., Ravin, R., Benjamini, D., Merkle, H., Falgairolle, M., O'Donovan, M. J., Blivis, D., Ide, D., Cai, T. X., Ghorashi, N. S., et al. (2019) · eLife · doi:10.7554/elife.51101 · Cited by 62 · see citing works
White matter connectivity in bipolar disorder
Brambilla, P., Bellani, M., Yeh, P., Soares, J. C., & Tansella, M. (2009) · International Review of Psychiatry · doi:10.1080/09540260902962172 · Cited by 61 · see citing works
High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation
Wu, Y., Field, A. S., Duncan, I. D., Samsonov, A. A., Kondo, Y., Tudorascu, D., & Alexander, A. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.067 · Cited by 61 · see citing works
Donahue, K. M., Krouwer, H. G. J., Rand, S. D., Pathak, A. P., Marszalkowski, C. S., Censky, S. C., & Prost, R. W. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200006)43:6 · Cited by 241 · see citing works
Voxel based analyses of diffusion tensor imaging in Fabry disease
Albrecht, J., Dellani, P. R., Muller, M. J., Schermuly, I., Beck, M., Stoeter, P., Gerhard, A., & Fellgiebel, A. (2007) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.112987 · Cited by 61 · see citing works
- Authors
- Beaulieu, C., & Allen, P. S.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Allen, Peter S.
- ORCID
- Beaulieu, Christian
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1994-11
- Volume
- 32
- Issue
- 5
- Pages
- 579-583
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2005760428
- Cited by
- 240
- References
- 15
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 7 · 2022: 6 · 2021: 4 · 2020: 11 · 2019: 13 · 2018: 5 · 2017: 10 · 2016: 10 · 2015: 6 · 2014: 10 · 2013: 14 · 2012: 11
- FWCI
- 3.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- water diffusion, squid giant axon, diffusion-weighted imaging, neurofilaments, axoplasm, myelin, axonal membrane, white matter, diffusion coefficient
- MeSH terms
- Animals, Axons, Cell Membrane, Computer Simulation, Cytoplasm, Diffusion, Image Enhancement, Magnetic Resonance Imaging, Models, Neurological, Monte Carlo Method, Myelin Sheath, Nervous System, Neurofibrils, Magnetic Resonance Spectroscopy, Water, Decapodiformes
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