The DOI matches its Crossref record; 191 of the 200 references it cites were found in a registry or an index.
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Abstract
Diffusion-weighted MRI (DW-MRI) has been increasingly used in imaging neuroscience over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was rapidly implemented by major MRI scanner companies as a scanner selling point. Due to the ease of use of such implementations, and the plausibility of some of their results, DTI was leapt on by imaging neuroscientists who saw it as a powerful and unique new tool for exploring the structural connectivity of human brain. However, DTI is a rather approximate technique, and its results have frequently been given implausible interpretations that have escaped proper critique and have appeared misleadingly in journals of high reputation. In order to encourage the use of improved DW-MRI methods, which have a better chance of characterizing the actual fiber structure of white matter, and to warn against the misuse and misinterpretation of DTI, we review the physics of DW-MRI, indicate currently preferred methodology, and explain the limits of interpretation of its results. We conclude with a list of 'Do's and Don'ts' which define good practice in this expanding area of imaging neuroscience.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“We caution that the behaviour of the DTI indices in the human brain, which is characterized by a high density of crossing fibre that influence DTI measures (Jeurissen et al., 2013), is only partially understood and remains speculative (Jones et al., 2013).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Jones et al., 2013
In the citing paper
“DTI alterations may stem from a variety of tissue changes including altered crossing fibres, permeability of the axonal membrane, inflammation, or oedema (Jones et al., 2013).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Jones et al., 2013
In the citing paper
“However, DTI metrics are not specific to particular cellular or molecular processes.”
From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [16]
In the citing paper
“This limitation is often expressed as the mantra “streamline count is not quantitative.””
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Jones et al., 2013
In the citing paper
“However, because of the difference in resolution between the measured dMRI signal and actual axon dimensions (as described in Section 3.3: “Connection density biases”), many studies have emphasized that NOS does not provide a truly quantitative measure of connection strength (Jones, 2010; Jones et al., 2013; Sotiropoulos and Zalesky, 2019; Yeh et al., 2020).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Jones et al., 2013
In the citing paper
“For example, many factors (e.g., cell death, edema, gliosis, inflammation, change in myelination, increase in connectivity of crossing fibers, increase in extracellular or intracellular water, etc.) may cause changes in FA (Assaf and Pasternak, 2008; Jones et al., 2013; Le Bihan and Johansen-Berg, 2012).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Jones et al., 2013
In the citing paper
“However, these measures reflect a composite of axonal organization, myelin, extracellular water, fiber geometry, and cerebrovascular injury (Beck et al., 2021; Jones et al., 2013).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Jones et al., 2013
In the citing paper
“This has led to considerable debate, since the inception of DTI, over the biological significance of these DTI-derived measures since WM integrity can be affected by many different parameters including axon packing density, axon caliber, myelination, microglia, inflammation, and tissue architecture (Mori and Zhang, 2006; Le Bihan and Johansen-Berg, 2012; Jones et al., 2013).”
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 Jones et al., 2013
In the citing paper
“higher values corresponding to higher diffusivity, which is often observed in damaged tissues (Jones et al., 2013)”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Jones et al., 2013
In the citing paper
“Changes in FA signal one or many microstructural alterations, such as Wallerian degeneration (Pierpaoli et al., 2001; Thomalla et al., 2004) or decreased neuronal membrane permeability (Jones, KnöSche, & Turner, 2013).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Jones, KnöSche, & Turner, 2013
In the citing paper
“Moreover, diffusion-weighted imaging has many limitations and sources of error at each step of the analysis pipeline that must be considered when interpreting results236, 237.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [237]
Citations
Cites
Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994
Donoho, D. L. (2004) · Cited by 16,703
Sparse MRI: The application of compressed sensing for rapid MR imaging
Lustig, M., Donoho, D., & Pauly, J. M. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21391 · Cited by 6,952
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
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
Griswold, M. A., Jakob, P. M., Heidemann, R. M., Nittka, M., Jellús̆, V., Wang, J., Kiefer, B., & Haase, A. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10171 · Cited by 5,311
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
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
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
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
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
The rician distribution of noisy mri data
Guðbjartsson, H., & Patz, S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340618 · Cited by 2,498
Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20508 · Cited by 2,488
Tournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191
Fiber tracking: principles and strategies – a technical review
Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019
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
Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635
High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10268 · Cited by 1,548 · cited 1×
“For example, if one assumes that within a voxel there are two or more relatively coherent fiber populations with different orientations, onemay extend the simple tensormodel by summing up the contributions of multiple tensors (Liu et al., 2004; Tuch et al., 2002).”
BackgroundBasser, P. J. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080707 · Cited by 1,526
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
Self-citationMapping 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
Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging
Feinberg, D. A., Moeller, S., Smith, S. M., Auerbach, E., Ramanna, S., Glasser, M. F., Miller, K. L., Ugurbil, K., & Yacoub, E. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015710 · Cited by 1,296
Setsompop, K., Gagoski, B. A., Polimeni, J. R., Witzel, T., Wedeen, V. J., & Wald, L. L. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23097 · Cited by 1,285
The B‐matrix must be rotated when correcting for subject motion in DTI data
Leemans, A., & Jones, D. K. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21890 · Cited by 1,266
Self-citationMRI 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
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
Self-citationThe structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
Frangi, A. F., Schnabel, J. A., Davatzikos, C. A., Alberola-López, C., & Fichtinger, G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00937-3 · Cited by 1,049
Measurement of signal intensities in the presence of noise in MR images
Henkelman, R. M. (1985) · Medical Physics · doi:10.1118/1.595711 · Cited by 1,021
Diffusion tensor imaging and beyond
Tournier, J., Mori, S., & Leemans, A. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22924 · Cited by 921
About “axial” and “radial” diffusivities
Wheeler‐Kingshott, C. A. M., & Cercignani, M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21965 · Cited by 885
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
Regularized, fast, and robust analytical Q-ball imaging
Descoteaux, M., Angelino, E., Fitzgibbons, S., & Deriche, R. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21277 · Cited by 850
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
Twenty‐five pitfalls in the analysis of diffusion MRI data
Jones, D. K., & Cercignani, M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1543 · Cited by 827
Self-citationArtifacts and pitfalls in diffusion MRI
Bihan, D. L., Poupon, C., Amadon, A., & Lethimonnier, F. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20683 · Cited by 805
Jones, D. K. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20033 · Cited by 794
Self-citationMapping 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
Deterministic and probabilistic tractography based on complex fibre orientation distributions
Descoteaux, M., Deriche, R., Knosche, T. R., & Anwander, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004424 · Cited by 698
Self-citationDiffusion MRI : from quantitative measurement to in vivo neuroanatomy
Johansen‐Berg, H., & Behrens, T. E. J. (2014) · doi:10.1016/b978-0-12-374709-9.x0001-6 · Cited by 685
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
Principles and Application of Self-Diffusion Measurements by Nuclear Magnetic Resonance
Kärger, J., Pfeifer, H., & Heink, W. (1988) · Advances in magnetic and optical resonance · doi:10.1016/b978-0-12-025512-2.50004-x · Cited by 667
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
Diffraction-like effects in NMR diffusion studies of fluids in porous solids
Callaghan, P. T., Coy, A., MacGowan, D., Packer, K. J., & Zelaya, F. O. (1991) · Nature · doi:10.1038/351467a0 · Cited by 649
Breuer, F., Blaimer, M., Heidemann, R. M., Mueller, M. F., Griswold, M. A., & Jakob, P. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20401 · Cited by 637
Raffelt, D., Tournier, J.-D., Rose, S., Ridgway, G., Henderson, R., Crozier, S., Salvado, O., & Connelly, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.045 · Cited by 616
RESTORE: Robust estimation of tensors by outlier rejection
Chang, L., Jones, D. K., & Pierpaoli, C. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20426 · Cited by 611
Self-citation“Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data
Jones, D. K., & Basser, P. J. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20283 · Cited by 590
Self-citationNiendorf, T., Dijkhuizen, R. M., Norris, D. G., van Lookeren Campagne, M., & Nicolay, K. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360607 · Cited by 570
Detection and modeling of non‐Gaussian apparent diffusion coefficient profiles in human brain data
Alexander, D. C., Barker, G. J., & Arridge, S. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10209 · Cited by 538
Assaf, Y., Freidlin, R. Z., Rohde, G. K., & Basser, P. J. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20274 · Cited by 519
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
Gleaning multicomponent T 1 and T 2 information from steady‐state imaging data
Deoni, S., Rutt, B. K., Arun, T., Pierpaoli, C. M., & Jones, D. K. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21704 · Cited by 473
Self-citationMyelination and organization of the frontal white matter in children
Klingberg, T., Vaidya, C. J., Gabrieli, J. D. E., Moseley, M. E., & Hedehus, M. (1999) · Neuroreport · doi:10.1097/00001756-199909090-00022 · Cited by 460
Assessing the effects of age on long white matter tracts using diffusion tensor tractography
Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.068 · Cited by 458
Diffusion MRI: Theory, methods, and applications
Jones, D. K. (2011) · Cited by 450
Self-citationMeasurement of translational displacement probabilities by NMR: An indicator of compartmentation
Cory, D. G. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140303 · Cited by 432
Water diffusion compartmentation and anisotropy at high b values in the human brain
Clark, C. A., & Bihan, D. L. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200012)44:6 · Cited by 432
Lu, H., Jensen, J. H., Ramani, A., & Helpern, J. A. (2006) · NMR in Biomedicine · doi:10.1002/nbm.1020 · Cited by 420
Quantitative imaging of magnetization transfer exchange and relaxation properties in vivo using MRI
Sled, J. G., & Pike, G. B. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1278 · Cited by 412
Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease
Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393
Jones, D. K., & Leemans, A. (2010) · Methods in molecular biology · doi:10.1007/978-1-61737-992-5_6 · Cited by 391
Self-citationAnalysis and correction of motion artifacts in diffusion weighted imaging
Anderson, A. W., & Gore, J. C. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320313 · Cited by 390
Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)
Özarslan, E., Shepherd, T. M., Vemuri, B. C., Blackband, S. J., & Mareci, T. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.024 · Cited by 388
Regional DTI differences in multiple sclerosis patients
Roosendaal, S. D., Geurts, J. J. G., Vrenken, H., Hulst, H. E., Cover, K. S., Castelijns, J. A., Pouwels, P. J. W., & Barkhof, F. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.026 · Cited by 378
Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI
Jones, D. K. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10331 · Cited by 371
Self-citationAganj, I., Lenglet, C., Sapiro, G., Yacoub, E. S., Uǧurbil, K., & Harel, N. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22365 · Cited by 369
Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging
Adolf Pfefferbaum, A., Elfar Adalsteinsson, A., & Sullivan, E. V. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.034 · Cited by 363
A cumulant expansion for stochastic linear differential equations. I
van Kampen, N. G. (1974) · Physica · doi:10.1016/0031-8914(74)90121-9 · Cited by 348
Partial volume effect as a hidden covariate in DTI analyses
Vos, S. B., Jones, D. K., Viergever, M. A., & Leemans, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.048 · Cited by 345
Self-citationIdentification of “Premyelination” by Diffusion-Weighted MRI
Wimberger, D. M., Roberts, T. P. L., Barkovich, A. J., Prayer, L., Moseley, M. E., & Kucharczyk, J. R. (1995) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199501000-00005 · Cited by 341
Compressed sensing reconstruction for magnetic resonance parameter mapping
Doneva, M., Börnert, P., Eggers, H., Stehning, C., Sénégas, J., & Mertins, A. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22483 · Cited by 326
Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI
Jones, D. K. (2010) · Imaging in Medicine · doi:10.2217/iim.10.21 · Cited by 321
Self-citationThe “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
Stricker, N. H., Schweinsburg, B. C., Delano‐Wood, L., Wierenga, C. E., Bangen, K. J., Haaland, K. Y., Frank, L. R., Salmon, D. P., & Bondi, M. W. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.027 · Cited by 318
Dell'Acqua, F., Simmons, A., Williams, S., & Catani, M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22080 · Cited by 310
Dell’Acqua, F., Scifo, P., Rizzo, G., Catani, M., Simmons, A., Scotti, G., & Fazio, F. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.033 · Cited by 310
Persistent angular structure: new insights from diffusion magnetic resonance imaging data
Jansons, K. M., & Alexander, D. C. (2003) · Inverse Problems · doi:10.1088/0266-5611/19/5/303 · Cited by 305
NMR microscopy of dynamic displacements: k-space and q-space imaging
Callaghan, P. T., Eccles, C. D., & Xia, Y. (1988) · Journal of Physics E Scientific Instruments · doi:10.1088/0022-3735/21/8/017 · Cited by 303
Diffusion tensor imaging and aging—A review.
Moseley, M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.785 · Cited by 302
How and how not to correct for CSF-contamination in diffusion MRI
Metzler-Baddeley, C., O'Sullivan, M. J., Bells, S., Pasternak, O., & Jones, D. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.043 · Cited by 291
Self-citationRosas, H. D., Lee, S. Y., Bender, A. C., Zaleta, A. K., Vangel, M. G., Yu, P., Fischl, B. R., Pappu, V., Onorato, C., Cha, J.-H. J., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.015 · Cited by 279
Wiest-Daesslé, N., Prima, S., Pierrick Coupé, A., Morrissey, S., & Barillot, C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85990-1_21 · Cited by 276
MR connectomics: Principles and challenges
Hagmann, P., Cammoun, L., Gigandet, X., Gerhard, S., Grant, P. E., Wedeen, V. J., Meuli, R. A., Thiran, J., Honey, C. J., & Sporns, O. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.01.014 · Cited by 276
Towards better MR characterization of neural tissues using directional diffusion kurtosis analysis
Hui, E. S. K., Cheung, M. M., Qi, L., & Wu, E. X. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.237 · Cited by 273
Cohen, Y., & Assaf, Y. (2002) · NMR in Biomedicine · doi:10.1002/nbm.778 · Cited by 269
Diffusion tensor tractography of the limbic system.
(2005) · PubMed Central · Cited by 268
Cheung, M. M., Hui, E. S. K., Chan, K. C., Helpern, J. A., Qi, L., & Wu, E. X. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.018 · Cited by 260
White matter tract integrity in aging and Alzheimer's disease
Damoiseaux, J. S., Smith, S. M., Witter, M. P., Sanz‐Arigita, E., Barkhof, F., Scheltens, P., Stam, C. J., Zarei, M., & Rombouts, S. A. R. B. (2008) · Human Brain Mapping · doi:10.1002/hbm.20563 · Cited by 259
Dietrich, O., Raya, J. G., Reeder, S. B., Ingrisch, M., Reiser, M. F., & Schoenberg, S. O. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.02.001 · Cited by 255
Characterizing non‐gaussian diffusion by using generalized diffusion tensors
Liu, C., Bammer, R., Acar, B., & Moseley, M. E. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20071 · Cited by 251
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
(2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9 · Cited by 246
Koay, C. G., Chang, L., Carew, J. D., Pierpaoli, C. M., & Basser, P. J. (2006) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2006.06.020 · Cited by 244
Atypical development of white matter microstructure in adolescents with autism spectrum disorders
Cheng, Y., Chou, K., Chen, I.-Y., Fan, Y., Decety, J., & Lin, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.011 · Cited by 243
Multiple‐Fiber Reconstruction Algorithms for Diffusion MRI
Alexander, D. C. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1340.018 · Cited by 239
Diffusion‐weighted interleaved echo‐planar imaging with a pair of orthogonal navigator echoes
Butts, K., de Crespigny, A. J., Pauly, J. M., & Moseley, M. E. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350518 · Cited by 239
Imagerie de diffusion in-vivo par résonance magnétique nucléaire
Bihan, D. L., & Breton, E. (1985) · HAL · Cited by 238
Descoteaux, M., Angelino, E. L., Fitzgibbons, S., & Rachid Deriche, B. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20948 · Cited by 235
Jones, D. K., Catani, M., Pierpaoli, C. M., Reeves, S., Shergill, S. S., O'Sullivan, M. J., Golesworthy, P., McGuire, P. K., Horsfield, M. A., Simmons, A., et al. (2005) · Human Brain Mapping · doi:10.1002/hbm.20179 · Cited by 233
Self-citationRegionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease.
Mielke, M. M., Kozauer, N. A., Chan, K. C. G., George, M., Toroney, J., Zerrate, M., Bandeen-Roche, K., Wang, M.-C., vanZijl, P., & Pekar, J. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.054 · Cited by 225
White matter structures associated with creativity: Evidence from diffusion tensor imaging
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.035 · Cited by 223
Assaf, Y., & Cohen, Y. (1998) · Journal of Magnetic Resonance · doi:10.1006/jmre.1997.1313 · Cited by 222
Age-related regional variations of the corpus callosum identified by diffusion tensor tractography
Lebel, C., Caverhill-Godkewitsch, S., & Beaulieu, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.072 · Cited by 209
Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autism
Fletcher, P. T., Whitaker, R., Tao, R., DuBray, M. B., Froehlich, A. L., Ravichandran, C. T., Alexander, A. L., Bigler, E. D., LANGE, N. D., & Lainhart, J. E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.083 · Cited by 206
Analysis of noise effects on DTI‐based tractography using the brute‐force and multi‐ROI approach
Huang, H., Zhang, J., van Zijl, P. C. M., & Mori, S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20147 · Cited by 193
Water diffusion, T2, and compartmentation in frog sciatic nerve
Peled, S., Cory, D. G., Raymond, S. A., Kirschner, D. A., & Jolesz, F. A. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5 · Cited by 193
Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging
Kaden, E., Knösche, T. R., & Anwander, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.012 · Cited by 190
Self-citationMagnetic 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
Group analysis of DTI fiber tract statistics with application to neurodevelopment
Goodlett, C., Fletcher, P. T., Gilmore, J. H., & Gerig, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.060 · Cited by 187
Assaf, Y., & Cohen, Y. (2000) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(200002)43:2 · Cited by 186
Faria, A. V., Zhang, J., Oishi, K., Li, X., Jiang, H., Akhter, K., Hermoye, L., Lee, S.-K., Hoon, A., & Stashinko, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.238 · Cited by 180
Behavioural relevance of variation in white matter microstructure
Johansen‐Berg, H. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833b7631 · Cited by 179
Avants, B., Cook, P. A., Ungar, L., Gee, J. C., & Grossman, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.041 · Cited by 178
Menke, R., Scholz, J., Miller, K. L., Deoni, S., Jbabdi, S., Matthews, P. M., & Zarei, M. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.017 · Cited by 176
Bodini, B., Khaleeli, Z., Cercignani, M., Miller, D. H., Thompson, A. J., & Ciccarelli, O. (2009) · Human Brain Mapping · doi:10.1002/hbm.20713 · Cited by 175
Pugliese, L., Catani, M., Ameis, S. H., Dell’Acqua, F., de Schotten, M. T., Murphy, C. M., Robertson, D., Deeley, Q., Daly, E., & Murphy, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.014 · Cited by 171
An error analysis of white matter tractography methods: synthetic diffusion tensor field simulations
Lazar, M., & Alexander, A. L. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00277-5 · Cited by 169
Analysis of NMR self-diffusion measurements by a density matrix calculation
Stepišnik, J. (1981) · Physica B+C · doi:10.1016/0378-4363(81)90182-0 · Cited by 169
Jones, D. K. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.922191 · Cited by 169
Self-citationLori, N. F., Akbudak, E., Shimony, J. S., Cull, T. S., Snyder, A. Z., Guillory, R., & Conturo, T. E. (2002) · NMR in Biomedicine · doi:10.1002/nbm.779 · Cited by 164
Parametric and non-parametric statistical analysis of DT-MRI data
Pajevic, S., & Basser, P. J. (2003) · Journal of Magnetic Resonance · doi:10.1016/s1090-7807(02)00178-7 · Cited by 162
A signal transformational framework for breaking the noise floor and its applications in MRI
Koay, C. G., Özarslan, E., & Basser, P. J. (2008) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2008.11.015 · Cited by 160
Butts, K., Pauly, J. M., de Crespigny, A. J., & Moseley, M. E. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380510 · Cited by 159
Cykowski, M. D., Fox, P. T., Ingham, R. J., Ingham, J. C., & Robin, D. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.011 · Cited by 150
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging
Michailovich, O., Yogesh Rathi, A., & Dolui, S. (2011) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2011.2142189 · Cited by 150
Restoration of DWI Data Using a Rician LMMSE Estimator
Aja‐Fernández, S., Niethammer, M., Kubicki, M. R., Shenton, M. E., & Westin, C. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.920609 · Cited by 148
Maximum Entropy Spherical Deconvolution for Diffusion MRI
Alexander, D. C. (2005) · Lecture notes in computer science · doi:10.1007/11505730_7 · Cited by 145
Jones, D. K., & Pierpaoli, C. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20466 · Cited by 145
Self-citationMichielse, S., Coupland, N., Camicioli, R., Carter, R., Seres, P., Sabino, J., & Malykhin, N. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.019 · Cited by 144
Investigation of white matter pathology in ALS and PLS using tract‐based spatial statistics
Ciccarelli, O., Behrens, T. E. J., Johansen‐Berg, H., Talbot, K., Orrell, R. W., Howard, R., Nunes, R. G., Miller, D. H., Matthews, P. M., Thompson, A. J., et al. (2008) · Human Brain Mapping · doi:10.1002/hbm.20527 · Cited by 139
PASTA: Pointwise assessment of streamline tractography attributes
Jones, D. K., Travis, A. R., Eden, G., Pierpaoli, C. M., & Basser, P. J. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20484 · Cited by 135
Self-citationVisualization of neural tissue water compartments using biexponential diffusion tensor MRI
Inglis, B. A., Bossart, E. L., Buckley, D. L., Wirth, E. D., & Mareci, T. H. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1079 · Cited by 131
Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters
Chung, S., Lü, Y., & Henry, R. G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.001 · Cited by 131
Optimal acquisition orders of diffusion‐weighted MRI measurements
Cook, P. A., Symms, M. R., Boulby, P. A., & Alexander, D. C. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20905 · Cited by 131
Heidemann, R. M., Anwander, A., Feiweier, T., Knösche, T. R., & Turner, R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.081 · Cited by 125
Self-citationResolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI
Landman, B. A., Bogovic, J., Wan, H., Elshahaby, F. E. A., Bazin, P., & Prince, J. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.011 · Cited by 124
Chen, Y., An, H., Hongtu Zhu, B., Stone, T. J., Smith, J. K., Hall, C. D., Bullitt, E., Shen, D. G., & Lin, W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.030 · Cited by 123
Accelerated diffusion spectrum imaging in the human brain using compressed sensing
Menzel, M. I., Tan, E. T., Khare, K., Sperl, J. I., King, K. F., Tao, X., Hardy, C. J., & Marinelli, L. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23064 · Cited by 123
White matter alterations differ in primary lateral sclerosis and amyotrophic lateral sclerosis
Iwata, N., Kwan, J. Y., Danielian, L. E., Butman, J. A., Tovar-Moll, F. F., Bayat, E., & Floeter, M. K. (2011) · Brain · doi:10.1093/brain/awr178 · Cited by 121
White matter integrity in the vicinity of Broca's area predicts grammar learning success
Flöel, A., de Vries, M. H., Scholz, J., Breitenstein, C., & Johansen‐Berg, H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.046 · Cited by 120
White-matter abnormalities in Tourette syndrome extend beyond motor pathways
Neuner, I., Kupriyanova, Y., Stöcker, T., Huang, R., Posnansky, O. P., Schneider, F. W., Tittgemeyer, M., & Shah, N. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.049 · Cited by 115
Using the wild bootstrap to quantify uncertainty in diffusion tensor imaging
Whitcher, B. J., Tuch, D. S., Wisco, J. J., Sorensen, A. G., & Wang, L. (2007) · Human Brain Mapping · doi:10.1002/hbm.20395 · Cited by 113
Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.036 · Cited by 112
Chang, L., Walker, L., & Pierpaoli, C. M. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24173 · Cited by 112
Tristán‐Vega, A., Westin, C., & Aja‐Fernández, S. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.049 · Cited by 106
Lee, B., Park, J. Y., Jung, W. H., Kim, H. S., Oh, J. S., Choi, C., Jang, J. H., Kang, D., & Kwon, J. S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.014 · Cited by 105
The Cumulant Expansion: An Overarching Mathematical Framework For Understanding Diffusion NMR
Kiselev, V. G. (2010) · Oxford University Press eBooks · doi:10.1093/med/9780195369779.003.0010 · Cited by 105
A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data
Parker, G. D., Marshall, D., Rosin, P. L., Drage, N. A., Richmond, S., & Jones, D. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.022 · Cited by 104
Self-citationBammer, R., Stollberger, R., Augustin, M., et al. (1999) · Radiology · doi:10.1148/radiology.211.3.r99jn15799 · Cited by 103
In vivo mapping of the fast and slow diffusion tensors in human brain
Clark, C. A., Hedehus, M., & Moseley, M. E. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10118 · Cited by 101
Biexponential diffusion tensor analysis of human brain diffusion data
Maier, S. E., Vajapeyam, S., Mamata, H., et al. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10685 · Cited by 101
Optimal acquisition schemes for in vivo quantitative magnetization transfer MRI
Cercignani, M., & Alexander, D. C. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21003 · Cited by 95
Papadakis, N. G., Martin, K. M., Mustafa, M. H., Wilkinson, I. D., Griffiths, P. D., Huang, C. L. ‐., & Woodruff, P. W. R. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10204 · Cited by 93
Kochunov, P. V., Ramage, A. E., Lancaster, J. L., Robin, D. A., Narayana, S., Coyle, T. R., Royall, D. R., & Fox, P. T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.010 · Cited by 82
Jones, D. K., Catani, M., Pierpaoli, C. M., Reeves, S., Shergill, S. S., O'Sullivan, M. J., Maguire, P., Horsfield, M. A., Simmons, A., Williams, S., et al. (2005) · American Journal of Geriatric Psychiatry · doi:10.1176/appi.ajgp.13.12.1092 · Cited by 81
Self-citationPrecision and Accuracy in Diffusion Tensor Magnetic Resonance Imaging
Jones, D. K. (2010) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0b013e31821e56ac · Cited by 80
Self-citationQiu, A., Tuan, T. A., Woon, P. S., Abdul-Rahman, M. F., Graham, S., & Sim, K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.046 · Cited by 78
Biexponential apparent diffusion coefficient parametrization in adult vs newborn brain
Mulkern, R. V., Vajapeyam, S., Robertson, R. L., Caruso, P. A., Rivkin, M. J., & Maier, S. E. (2001) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(01)00383-6 · Cited by 75
High angular resolution diffusion MRI (from local estimation to segmentation and tractography)
Descoteaux, M., & DERICHE, R. (2008) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 70
Assaf, Y., & Cohen, Y. (1998) · NMR in Biomedicine · doi:10.1002/(sici)1099-1492(199804)11:2 · Cited by 70
Sakaie, K., & Lowe, M. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.034 · Cited by 58
Grinberg, F., Farrher, E., Kaffanke, J. B., Oros‐Peusquens, A., & Shah, N. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.050 · Cited by 55
FLAIR diffusion-tensor MR tractography: comparison of fiber tracking with conventional imaging.
Chou, M.-C., Lin, Y., Huang, T., Wang, C. Y., Chung, H., Juan, C., & Chen, C. (2005) · PubMed Central · Cited by 54
Qiu, A., zhong, J., Graham, S., Chia, M. Y., & Sim, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.027 · Cited by 50
Regional and directional anisotropy of apparent diffusion coefficient in rat brain
Hoehn‐Berlage, M., Eis, M., & Schmitz, B. (1999) · NMR in Biomedicine · doi:10.1002/(sici)1099-1492(199902)12:1 · Cited by 46
Maier, S. E., & Mulkern, R. V. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.01.042 · Cited by 45
Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing
Michailovich, O., & Yogesh Rathi, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_74 · Cited by 44
Haroon, H. A., Morris, D. M., Embleton, K. V., Alexander, D. C., & Parker, G. J. M. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2006528 · Cited by 44
Liu, C., Bammer, R., & Moseley, M. E. (2003) · Israel Journal of Chemistry · doi:10.1560/hb5h-6xbr-1aw1-lnx9 · Cited by 43
Rapid three‐dimensional multicomponent relaxation imaging of the cervical spinal cord
Kolind, S., & Deoni, S. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22634 · Cited by 39
Landman, B. A., Wan, H., Bogovic, J., Bazin, P., & Prince, J. L. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.844171 · Cited by 35
Conventional DTI vs. slow and fast diffusion tensors in cat visual cortex
Ronen, I., Kim, K., Garwood, M., et al. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10431 · Cited by 33
Santis, S. D., Assaf, Y., & Jones, D. K. (2011) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-011-0292-5 · Cited by 30
Self-citationNoise Correction on Rician Distributed Data for Fibre Orientation Estimators
Clarke, R. A., Scifo, P., Rizzo, G., Dell’Acqua, F., Scotti, G., & Fazio, F. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.920615 · Cited by 30
Liu, B., Li, J., Yu, C., Li, Y., Liu, Y., Song, M., Fan, M., Li, K., & Jiang, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.020 · Cited by 30
Tristán‐Vega, A., Aja‐Fernández, S., & Westin, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.074 · Cited by 28
Optimal diffusion MRI acquisition for fiber orientation density estimation: An analytic approach
White, N. S., & Dale, A. M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20799 · Cited by 28
Freidlin, R. Z., Özarslan, E., Komlosh, M. E., Chang, L., Koay, C. G., Jones, D. K., & Basser, P. J. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.907294 · Cited by 27
Self-citationStrategies for Patient–Control Comparison of Diffusion MR Data
Cercignani, M. (2010) · Oxford University Press eBooks · doi:10.1093/med/9780195369779.003.0029 · Cited by 26
Parallel MRI Noise Correction: An Extension of the LMMSE to Non Central χ Distributions
Brion, V., Poupon, C., Riff, O., et al. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23629-7_28 · Cited by 25
Patel, V. N., Shi, Y., Thompson, P. M., & Toga, A. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.060 · Cited by 24
Jahng, G.-H., Xu, S., Weiner, M. W., Meyerhoff, D. J., Park, S., & Schuff, N. (2011) · Neuroradiology · doi:10.1007/s00234-011-0845-3 · Cited by 21
Diffusion measurements and diffusion tensor imaging with noisy magnitude data
Kristoffersen, A. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21589 · Cited by 15
Aljabar, P., Rueckert, D., & Crum, W. R. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85990-1_53 · Cited by 3
Larkman (2001) · doi:10.1002/1522-2586(200102)13:2
Research works printed but not linked: 2
- Le Bihan, 1985, In vivo magnetic resonance imaging of diffusion I, C. R. Acad. Sci. II, 301, 1109
- Tournier, 2009, How many diffusion gradient directions are required for HARDI?, Proc. Int. Soc. Magn. Reson. Med., 17, 358
Cited by
Sorted by citations
Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398
“Although subject to many experimental and statistical limitations 23 and interpretational pitfalls 24 , comparative studies have suggested that representations of long-distance connectivity derived from invasive histological methods and noninvasive imaging of neuroanatomical structure are…”
BackgroundThe connectomics of brain disorders
Fornito, A., Zalesky, A., & Breakspear, M. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3901 · Cited by 1,734
Dipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371
“…of the myelin wrapping the axons in the voxel may affect both MD and FA, changes in other factors, such as the distribution of directions of crossing of fiber populations through the voxel may also affect these measures (Basser and Pierpaoli, 1996; Jones et al., 2013; Wandell and Yeatman, 2013).”
BackgroundThe hubs of the human connectome are generally implicated in the anatomy of brain disorders
Crossley, N. A., Mechelli, A., Scott, J., Carletti, F., Fox, P. T., McGuire, P., & Bullmore, E. T. (2014) · Brain · doi:10.1093/brain/awu132 · Cited by 1,166
“Although DTI provides the most direct access to the structural network of the living human brain, it also has limitations (Morris et al., 2008; Jones and Cercignani, 2010; Craddock et al., 2013; Jones et al., 2013).”
BackgroundImaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
Metadata
- Authors
- Jones, D. K., Knösche, T. R., & Turner, R.
- Affiliations
- Cardiff University (GB)
- Max Planck Institute for Human Cognitive and Brain Sciences (DE)
- Corresponding author
- Jones, Derek K.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 73
- Pages
- 239-254
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2117987496
- Semantic Scholar
- 18c1f13bf2af5a9efb0126b7bd4683fa1b786532
- Cited by
- 2,402
- References
- 200
- Citations by year
- 2026: 140 · 2025: 134 · 2024: 121 · 2023: 150 · 2022: 183 · 2021: 225 · 2020: 209 · 2019: 203 · 2018: 189 · 2017: 201 · 2016: 213 · 2015: 182 · 2014: 135 · 2013: 105
- FWCI
- 92.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Wellcome Trust (096646/Z/11/Z)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion-weighted imaging, diffusion tensor imaging, white matter integrity, fiber count, structural connectivity
- MeSH terms
- Brain, Brain Mapping, Cell Count, Data Interpretation, Statistical, Humans, Image Processing, Computer-Assisted, Nerve Fibers, Neural Pathways, Models, Statistical, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Signal-To-Noise Ratio
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
