Is diffusion anisotropy an accurate monitor of myelination?

Mädler, Burkhard; Drabycz, Sylvia A.; Kolind, Shannon H.; Whittall, Kenneth P.; MacKay, Alexander L.

doi:10.1016/j.mri.2008.01.047

Cited by 227Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Is diffusion anisotropy an accurate monitor of myelination?

Mädler, Burkhard, Drabycz, Sylvia A., Kolind, Shannon H., Whittall, Kenneth P., MacKay, Alexander L.·2008·Magnetic Resonance Imaging

DOI 10.1016/j.mri.2008.01.047

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Abstract

We compare T2-relaxation and diffusion tensor data from normal human brain. The relationships between myelin-water fraction (MWF) and various diffusion tensor measures [e.g., fractional anisotropy (FA), perpendicular diffusivity (ADC perpendicular) and mean diffusivity ] in white matter (WM) and gray matter (GM) structures in the brain were examined in 16 normal volunteers at 1.5 T and 6 normal subjects at 3.0 T and mean diffusivity. We found some degree of linear correlation between these measurements, but by using region of interest (ROI)-based analysis, we also observed several structures which seemed to deviate significantly from a linear relationship. From all investigated relationships between various diffusion tensor measures and myelin-water content, FA and ADC perpendicular yielded the highest correlation coefficients with MWF. However, diffusion anisotropy was also significantly influenced by factors other than myelin-water content. The less operator-dependent voxel-based analysis (VBA) between myelin-water and diffusional anisotropy measures is proposed as an innovative alternative to ROI-based analysis. We confirmed that WM structures, in general, have higher diffusional anisotropy than GM structures and also have higher myelin-water content. However, our findings suggest that in the highly organized fibre arrangement of compact WM structures such as the genu of the corpus callosum, elevated degrees of diffusional anisotropies are measured, which do not necessaril…

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ihMT and MWI likely provide more myelin-specific information than can be obtained with more general measures based on DTI or T1w/T2w ratio metrics.
“in the case of ihMT and MWI likely also provide more myelin-specific information than can be obtained with more general measures based on DTI or T1w/T2w ratio metrics (Mädler et al., 2008; Ercan et al., 2018; Uddin et al., 2019).”
From Potential Pitfalls of Using Fractional Anisotropy, Axial Diffusivity, and Radial Diffusivity as Biomarkers of Cerebral White Matter Microstructure (2022) · cites this paper as Mädler et al., 2008

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
Solutions of Ill-Posed Problems.
Bell, J. B., Tikhonov, A. N., & Arsenin, V. Y. (1978) · Mathematics of Computation · doi:10.2307/2006360 · Cited by 8,096 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · see citing works
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 · see citing works
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 · see citing works
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · see citing works
Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738 · see citing works
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658 · see citing works
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
The theory of Tikhonov regularization for Fredholm equations of the first kind
Groetsch, C. W. (1984) · Medical Entomology and Zoology · Cited by 1,183 · 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
In vivo visualization of myelin water in brain by magnetic resonance
MacKay, A. L., Whittall, K. P., Adler, J., Li, D. K. B., Paty, D. W., & Graeb, D. A. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310614 · Cited by 916 · see citing works
Self-citation
White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study
Barnea-Goraly, N., Menon, V., Eckert, M., Tamm, L., Bammer, R., Karchemskiy, A., Dant, C. C., & Reiss, A. L. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi062 · Cited by 848 · see citing works
Processing and visualization for diffusion tensor MRI
Westin, C., Maier, S. E., Mamata, H., Nabavi, A., Jolesz, F. A., & Kikinis, R. (2002) · Medical Image Analysis · doi:10.1016/s1361-8415(02)00053-1 · Cited by 802 · see citing works
In vivo measurement of T 2 distributions and water contents in normal human brain
Whittall, K. P., MacKay, A. L., Graeb, D. A., Nugent, R. A., Li, D. K. B., & Paty, D. W. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370107 · Cited by 796 · see citing works
Self-citation
The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study†
Jones, D. K. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20033 · Cited by 776 · see citing works
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 · see citing works
Quantitative interpretation of NMR relaxation data
Whittall, K. P., & MacKay, A. L. (1989) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(89)90011-5 · Cited by 633 · see citing works
Self-citation
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
A simplified method to measure the diffusion tensor from seven MR images
Basser, P. J., & Pierpaoli, C. M. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390610 · Cited by 584 · 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
Time-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
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
Myelin water imaging in multiple sclerosis: quantitative correlations with histopathology
Laule, C., Leung, E., Li, D. K., Traboulsee, A. L., Paty, D. W., MacKay, A. L., & Moore, G. R. (2006) · Multiple Sclerosis Journal · doi:10.1177/1352458506070928 · Cited by 489 · see citing works
Self-citation
Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum
Sun, S., Liang, H., Trinkaus, K., Cross, A. H., Armstrong, R. C., & Song, S. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20774 · Cited by 461 · see citing works
Diffusion-tensor MR imaging of gray and white matter development during normal human brain maturation.
Mukherjee, P., Miller, J. H., Shimony, J. S., Philip, J. V., Nehra, D., Snyder, A. Z., Conturo, T. E., Neil, J. J., & McKinstry, R. C. (2002) · PubMed Central · Cited by 445 · see citing works
Normal Brain Maturation during Childhood: Developmental Trends Characterized with Diffusion-Tensor MR Imaging
Mukherjee, P., Miller, J. H., Shimony, J. S., Conturo, T. E., Lee, B. C. P., Almli, C. R., & McKinstry, R. C. (2001) · Radiology · doi:10.1148/radiol.2212001702 · Cited by 426 · see citing works
Diffusion and Perfusion Magnetic Resonance Imaging
Bihan, D. L., & Warach, S. J. (1995) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199509000-00032 · Cited by 399 · see citing works
Practical T2 quantitation for clinical applications
Poon, C. S., & Henkelman, R. M. (1992) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880020512 · Cited by 396 · see citing works
Diffusion tensor imaging of post mortem multiple sclerosis brain
Schmierer, K., Wheeler-Kingshott, C. A. M., Boulby, P. A., Scaravilli, F., Altmann, D. R., Barker, G. J., Tofts, P. S., & Miller, D. H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.010 · Cited by 395 · see citing works
Fiber Crossing in Human Brain Depicted with Diffusion Tensor MR Imaging
Wiegell, M. R., Larsson, H. B. W., & Wedeen, V. J. (2000) · Radiology · doi:10.1148/radiology.217.3.r00nv43897 · Cited by 376 · see citing works
Identification 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 · see citing works
Insights into brain microstructure from the T2 distribution
MacKay, A. L., Laule, C., Vavasour, I. M., Bjarnason, T. A., Kolind, S., & Mädler, B. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.12.037 · Cited by 339 · see citing works
Self-citation
Magnetic Resonance Imaging of Myelin
Laule, C., Vavasour, I. M., Kolind, S. H., Li, D. K. B., Traboulsee, T. L., Moore, G. R. W., & MacKay, A. L. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.004 · Cited by 334 · see citing works
Self-citation
MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization
Masutani, Y., Aoki, S., Abe, O., Hayashi, N., & Otomo, K. (2003) · European Journal of Radiology · doi:10.1016/s0720-048x(02)00328-5 · Cited by 308 · see citing works
Encoding of anisotropic diffusion with tetrahedral gradients: A general mathematical diffusion formalism and experimental results
Conturo, T. E., McKinstry, R. C., Akbudak, E., & Robinson, B. H. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350319 · Cited by 293 · see citing works
Imaging brain connectivity in children with diverse reading ability
Beaulieu, C., Plewes, C., Paulson, L. A. D., Roy, D., Snook, L., Concha, L., & Phillips, L. M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.053 · Cited by 279 · see citing works
A Model for Diffusion in White Matter in the Brain
Sen, P. N., & Basser, P. J. (2005) · Biophysical Journal · doi:10.1529/biophysj.105.063016 · Cited by 266 · 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
Introduction to Diffusion Tensor Imaging
(2007) · Elsevier eBooks · doi:10.1016/b978-0-444-52828-5.x5014-5 · Cited by 258 · see citing works
Diffusion Anisotropy Measurement of Brain White Matter Is Affected by Voxel Size: Underestimation Occurs in Areas with Crossing Fibers
Oouchi, H., Yamada, K., Sakai, K., Kizu, O., Kubota, T., Ito, H., & Nishimura, T. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0488 · Cited by 256 · see citing works
Characterizing white matter with magnetization transfer andT2
Stanisz, G. J., Kecojević, A., Bronskill, M. J., & Henkelman, R. M. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199912)42:6 · Cited by 249 · 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
Diffusion Tensor Imaging in the Corpus Callosum in Children after Moderate to Severe Traumatic Brain Injury
Wilde, E. A., Chu, Z. D., Bigler, E. D., Hunter, J. V., Fearing, M. A., Hanten, G. R., Newsome, M. R., Scheibel, R. S., Li, X., & Levin, H. S. (2006) · Journal of Neurotrauma · doi:10.1089/neu.2006.23.1412 · Cited by 246 · see citing works
Utility of simultaneously acquired gradient-echo and spin-echo cerebral blood volume and morphology maps in brain tumor patients
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
Water diffusion in the giant axon of the squid: implications for diffusion-weighted MRI of the nervous system
Beaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320506 · Cited by 240 · see citing works
The b matrix in diffusion tensor echo‐planar imaging
Mattiello, J., Basser, P. J., & Bihan, D. L. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370226 · Cited by 238 · see citing works
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 · see citing works
Diffusion Tensor Imaging and Tractography of Human Brain Development
Mukherjee, P., & McKinstry, R. C. (2006) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.11.004 · Cited by 223 · see citing works
Diffusion anisotropy in subcortical white matter and cortical gray matter: Changes with aging and the role of CSF‐suppression
Bhagat, Y. A., & Beaulieu, C. (2004) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20102 · Cited by 208 · see citing works
Anisotropy in diffusion‐weighted MRI
Moseley, M. E., Kucharczyk, J. R., Asgari, H. S., & Norman, D. M. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910190222 · Cited by 199 · see citing works
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 189 · see citing works
A pathology–MRI study of the short-T2 component in formalin-fixed multiple sclerosis brain
Moore, G. R. W., Leung, E., MacKay, A. L., Vavasour, I. M., Whittall, K. P., Cover, K. S., Li, D. K. B., Hashimoto, S. A., Oger, J., Sprinkle, T. J., et al. (2000) · Neurology · doi:10.1212/wnl.55.10.1506 · Cited by 185 · see citing works
Self-citation
Magnetic resonance imaging shows orientation and asymmetry of white matter fiber tracts
Peled, S., Guðbjartsson, H., Westin, C., Kikinis, R., & Jolesz, F. A. (1998) · Brain Research · doi:10.1016/s0006-8993(97)00635-5 · Cited by 177 · see citing works
A simple method for obtaining cross‐term‐free images for diffusion anisotropy studies in NMR microimaging
Neeman, M., Freyer, J. P., & Sillerud, L. O. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910210117 · Cited by 177 · see citing works
Diffusion‐weighted imaging in tissues: Theoretical models
Szafer, A., Zhong, J., Anderson, A. W., & Gore, J. C. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080704 · Cited by 156 · see citing works
Measurement of in vivo multi-component T2 relaxation times for brain tissue using multi-slice T2 prep at 1.5 and 3 T
Oh, J., Han, E. T., Pelletier, D., & Nelson, S. J. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.10.016 · Cited by 148 · see citing works
Diffusional anisotropy of T2 components in bovine optic nerve
Stanisz, G. J., & Henkelman, R. M. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910400310 · Cited by 121 · see citing works
Water diffusion in rat brain in vivo as detected at very largeb values is multicompartmental
Pfeuffer, J., Provencher, S. W., & Gruetter, R. (1999) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/bf02590526 · Cited by 118 · see citing works
Pulsed-gradient spin-echo diffusion studies in nmr imaging. Effects of the imaging gradients on the determination of diffusion coefficients
Neeman, M., Freyer, J. P., & Sillerud, L. O. (1990) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(90)90136-w · Cited by 115 · see citing works
Investigation of analysis techniques for complicated NMR relaxation data
Whittall, K. P., Bronskill, M. J., & Henkelman, R. M. (1991) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(91)90213-d · Cited by 113 · see citing works
Self-citation
Applications of Diffusion Tensor MR Imaging in Multiple Sclerosis
Ge, Y., Law, M., & Grossman, R. I. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1340.039 · Cited by 104 · see citing works
Water compartments in the myelinated nerve. III. Pulsed NMR result
Vasilescu, V., Katona, É., Simplăceanu, V., & Demco, D. E. (1978) · Cellular and Molecular Life Sciences · doi:10.1007/bf01932339 · Cited by 90 · see citing works
Diffusion and Perfusion Magnetic Resonance Imaging
Lewin, J. S. (1996) · Neurology · doi:10.1212/wnl.47.3.863-a · Cited by 81 · see citing works
Shared k‐space echo planar imaging with keyhole
Zaitsev, M., Zilles, K., & Shah, N. J. (2001) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200101)45:1 · Cited by 67 · see citing works
Diffusion-weighted MRI of myelination in the rat brain following treatment with gonadal hormones
Prayer, D., Roberts, T. P. L., Barkovich, A. J., Prayer, L., Kucharczyk, J. R., Moseley, M. E., & Arieff, A. I. (1997) · Neuroradiology · doi:10.1007/s002340050416 · Cited by 56 · see citing works
Diffusion of myelin water
Andrews, T. J., Osborne, M. T., & Does, M. D. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20945 · Cited by 44 · see citing works
Fractional anisotropy and mean diffusivity: comparison between 3.0‐T and 1.5‐T diffusion tensor imaging with parallel imaging using histogram and region of interest analysis
Fushimi, Y., Miki, Y., Okada, T., Yamamoto, A., Mori, N., Hanakawa, T., Urayama, S., Aso, T., Fukuyama, H., Kikuta, K., et al. (2007) · NMR in Biomedicine · doi:10.1002/nbm.1139 · Cited by 41 · see citing works
Assignment of the T 2 components of amphibian peripheral nerve to their microanatomical compartments
Wachowicz, K., & Snyder, R. E. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10053 · Cited by 40 · see citing works
Modeling diffusion in white matter in the brain: a composite porous medium.
Sen, P., & Basser, P. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.11.014 · Cited by 29 · see citing works
Anisotropic and restricted diffusion of water in the sciatic nerve: A 2H double‐quantum‐filtered NMR study
Seo, Y., Shinar, H., Morita, Y., & Navon, G. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199909)42:3 · Cited by 19 · see citing works
Heavy water intake in tissues. II. H2O−D2O exchange in the myelinated nerve of the frog
Vasilescu, V., Mǎrgineanu, D.-G., & Katona, É. (1977) · Cellular and Molecular Life Sciences · doi:10.1007/bf02124060 · Cited by 12 · see citing works
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Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · see citing works
Mapping Infant Brain Myelination with Magnetic Resonance Imaging
Deoni, S. C. L., Mercure, E., Blasi, A., Gasston, D., Thomson, A., Johnson, M., Williams, S. C. R., & Murphy, D. G. M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2106-10.2011 · Cited by 497 · see citing works
Puberty and the human brain: insights into adolescent development
Vijayakumar, N., Op de Macks, Z., Shirtcliff, E. A., & Pfeifer, J. H. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.004 · Cited by 437 · see citing works
Lifespan maturation and degeneration of human brain white matter
Yeatman, J. D., Wandell, B. A., & Mezer, A. (2014) · Nature Communications · doi:10.1038/ncomms5932 · Cited by 426 · see citing works
Growth of white matter in the adolescent brain: Myelin or axon?
Paus, T. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.06.002 · Cited by 424 · see citing works
Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping
Deoni, S. C. L., Dean, D. C., O'Muircheartaigh, J., Dirks, H., & Jerskey, B. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.037 · Cited by 390 · see citing works
Quantification of increased cellularity during inflammatory demyelination
Wang, Y., Wang, Q., Haldar, J. P., Yeh, F.-C., Xie, M., Sun, P., Tu, T.-W., Trinkaus, K., Klein, R. S., Cross, A. H., et al. (2011) · Brain · doi:10.1093/brain/awr307 · Cited by 384 · see citing works
Fractional anisotropy of water diffusion in cerebral white matter across the lifespan
Kochunov, P., Williamson, D. E., Lancaster, J., Fox, P. T., Cornell, J. E., Blangero, J., & Glahn, D. C. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.01.014 · Cited by 363 · see citing works
SANDI: a compartment‐based model for non‐invasive apparent soma and neurite imaging by diffusion MRI
Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D. C., Shemesh, N., & Zhang, H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116835 · Cited by 349 · see citing works
White Matter Microstructure and Atypical Visual Orienting in 7-Month-Olds at Risk for Autism
Elison, J. T., Paterson, S. J., Wolff, J. J., Reznick, J. S., Sasson, N. J., Gu, H., Botteron, K. N., Dager, S. R., Estes, A. M., Evans, A. C., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12091150 · Cited by 277 · see citing works
“However, there is evidence to suggest that the density and diameter of axons in a given fiber tract, in addition to myelin content, affect the diffusion of water molecules perpendicular to the primary eigenvector of a fiber tract (32).”
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Qiu, A., Mori, S., & Miller, M. I. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015340 · Cited by 238 · see citing works
Neurodevelopmental and neurodegenerative models of schizophrenia: white matter at the center stage
Kochunov, P., & Hong, L. E. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu070 · Cited by 236 · see citing works
Why diffusion tensor MRI does well only some of the time: variance and covariance of white matter tissue microstructure attributes in the living human brain
De Santis, S., Drakesmith, M., Bells, S., Assaf, Y., & Jones, D. K. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.003 · Cited by 231 · 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
Whole brain myelin mapping using T1- and T2-weighted MR imaging data.
Ganzetti, M., Wenderoth, N., & Mantini, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00671 · Cited by 225 · see citing works
How are age-related differences in sleep quality associated with health outcomes? An epidemiological investigation in a UK cohort of 2406 adults
Gadie, A., Shafto, M. A., Leng, Y., Cam-CAN, & Kievit, R. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014920 · Cited by 216 · see citing works
Enhanced brain connectivity in long-term meditation practitioners
Luders, E., Clark, K., Narr, K. L., & Toga, A. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.075 · Cited by 209 · see citing works
Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI
Billiet, T., Vandenbulcke, M., Mädler, B., Peeters, R., Dhollander, T., Zhang, H., Deprez, S., Van den Bergh, B. R. H., Sunaert, S., & Emsell, L. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.02.029 · Cited by 203 · see citing works
Self-citation
Noninvasive mapping of water diffusional exchange in the human brain using filter‐exchange imaging
Nilsson, M., Lätt, J., van Westen, D., Brockstedt, S., Lasič, S., Ståhlberg, F., & Topgaard, D. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24395 · Cited by 189 · see citing works
White matter integrity in adolescents with histories of marijuana use and binge drinking
Jacobus, J., McQueeny, T. M., Bava, S., Schweinsburg, B. C., Frank, L. R., Yang, T. T., & Tapert, S. F. (2009) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2009.07.006 · Cited by 186 · see citing works
Anterior thalamic radiation integrity in schizophrenia: A diffusion-tensor imaging study
Mamah, D., Conturo, T. E., Harms, M. P., Akbudak, E., Wang, L., McMichael, A. R., Gado, M. H., Barch, D. M., & Csernansky, J. G. (2010) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2010.04.013 · Cited by 185 · see citing works
White matter development and early cognition in babies and toddlers
O'Muircheartaigh, J., Dean, D. C., Ginestet, C. E., Walker, L., Waskiewicz, N., Lehman, K., Dirks, H., Piryatinsky, I., & Deoni, S. C. L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22488 · Cited by 183 · see citing works
Characterizing longitudinal white matter development during early childhood
Dean, D. C., O’Muircheartaigh, J., Dirks, H., Waskiewicz, N., Walker, L., Doernberg, E., Piryatinsky, I., & Deoni, S. C. L. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0763-3 · Cited by 174 · see citing works
Altered water diffusivity in cortical association tracts in children with early deprivation identified with tract-based spatial statistics (TBSS)
Govindan, R. M., Behen, M. E., Helder, E., Makki, M. I., & Chugani, H. T. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp122 · Cited by 172 · see citing works
A digital 3D atlas of the marmoset brain based on multi-modal MRI
Liu, C., Ye, F. Q., Yen, C. C., Newman, J. D., Glen, D., Leopold, D. A., & Silva, A. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.004 · Cited by 171 · see citing works
Sleep variability in adolescence is associated with altered brain development
Telzer, E. H., Goldenberg, D., Fuligni, A. J., Lieberman, M. D., & Galván, A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.05.007 · Cited by 165 · see citing works
Modeling healthy male white matter and myelin development: 3 through 60months of age
Dean, D. C., O'Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., Walker, L., Han, M., & Deoni, S. C. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.058 · Cited by 163 · see citing works
Fractional anisotropy of cerebral white matter and thickness of cortical gray matter across the lifespan
Kochunov, P., Glahn, D. C., Lancaster, J. L., Thompson, P. M., Kochunov, V., Rogers, B. G., Fox, P. T., Blangero, J., & Williamson, D. E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.050 · Cited by 160 · see citing works
Genetics of microstructure of cerebral white matter using diffusion tensor imaging
Kochunov, P., Glahn, D. C., Lancaster, J. L., Winkler, A. M., Smith, S. M., Thompson, P. M., Almasy, L. A., Duggirala, R., Fox, P. T., & Blangero, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.078 · Cited by 158 · see citing works
White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm
Valdes-Hernandez, P. A., Ojeda, A., Martínez‐Montes, E., Lage‐Castellanos, A., Virues-Alba, T. A., Valdés-Urrutia, L., & Valdes-Sosa, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.030 · Cited by 153 · see citing works
Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise
Thomas, A. G., Dennis, A., Rawlings, N. B., Stagg, C. J., Matthews, L., Morris, M., Kolind, S. H., Foxley, S., Jenkinson, M., Nichols, T. E., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.090 · Cited by 152 · see citing works
“…and FA which have been used in other studies to draw conclusions about axonal orientation, integrity, and myelination within white matter regions where fibers are bundled with coherent orientation (Scholz et al., 2009) though aspects of this interpretation are controversial (Mädler et al., 2008).”
MethodSelf-citation
Hypomyelinating leukodystrophies: Translational research progress and prospects
Pouwels, P. J. W., Vanderver, A. L., Bernard, G., Wolf, N. I., Dreha‐Kulaczewski, S. F., Deoni, S., Bertini, E., Kohlschütter, A., Richardson, W. D., ffrench‐Constant, C., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24194 · Cited by 151 · see citing works
Comparisons between multi-component myelin water fraction, T1w/T2w ratio, and diffusion tensor imaging measures in healthy human brain structures.
Uddin, M. N., Figley, T. D., Solar, K. G., Shatil, A. S., & Figley, C. R. (2019) · Scientific Reports · doi:10.1038/s41598-019-39199-x · Cited by 151 · see citing works
Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure
Stikov, N., Perry, L. M., Mezer, A., Rykhlevskaia, E. I., Wandell, B. A., Pauly, J. M., & Dougherty, R. F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.068 · Cited by 145 · see citing works
Myelination of the brain in Major Depressive Disorder: An in vivo quantitative magnetic resonance imaging study
Sacchet, M. D., & Gotlib, I. H. (2017) · Scientific Reports · doi:10.1038/s41598-017-02062-y · Cited by 145 · see citing works
Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data
Lim, S. I., Han, C. E., Uhlhaas, P. J., & Kaiser, M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht333 · Cited by 141 · see citing works
Quantitative MRI and ultrastructural examination of the cuprizone mouse model of demyelination
Thiessen, J. D., Zhang, Y., Zhang, H., Wang, L., Buist, R., Del Bigio, M. R., Kong, J., Li, X., & Martin, M. (2013) · NMR in Biomedicine · doi:10.1002/nbm.2992 · Cited by 148 · see citing works
Inferring brain tissue composition and microstructure via MR relaxometry
Does, M. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.087 · Cited by 137 · see citing works
The Relationship Between Axon Density, Myelination, and Fractional Anisotropy in the Human Corpus Callosum
Friedrich, P., Fraenz, C., Schlüter, C., Ocklenburg, S., Mädler, B., Güntürkün, O., & Genç, E. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz221 · Cited by 128 · see citing works
Self-citation
Intellectual abilities and white matter microstructure in development: A diffusion tensor imaging study
Tamnes, C. K., Østby, Y., Walhovd, K. B., Westlye, L. T., Due‐Tønnessen, P., & Fjell, A. M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20962 · Cited by 126 · see citing works
Adult age differences in subcortical myelin content are consistent with protracted myelination and unrelated to diffusion tensor imaging indices
Arshad, M., Stanley, J. A., & Raz, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.047 · Cited by 109 · see citing works
White Matter Development in Early Puberty: A Longitudinal Volumetric and Diffusion Tensor Imaging Twin Study
Brouwer, R. M., Mandl, R. C. W., Schnack, H. G., van Soelen, I. L. C., van Baal, G. C., Peper, J. S., Kahn, R. S., Boomsma, D. I., & Pol, H. E. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032316 · Cited by 107 · see citing works
Brain Structural and Functional Connectivity: A Review of Combined Works of Diffusion Magnetic Resonance Imaging and Electro-Encephalography
Babaeeghazvini, P., Rueda-Delgado, L., Gooijers, J., Swinnen, S., & Daffertshofer, A. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.721206 · Cited by 106 · see citing works
fMRI Functional Connectivity Applied to Adolescent Neurodevelopment
Ernst, M., Torrisi, S., Balderston, N. L., Grillon, C., & Hale, E. A. (2015) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032814-112753 · 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
Response inhibition is associated with white matter microstructure in children.
Madsen, K. S., Baaré, W. F. C., Vestergaard, M., Skimminge, A., Ejersbo, L. R., Ramsøy, T. Z., Gerlach, C., Åkeson, P., Paulson, O. B., & Jernigan, T. L. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.11.001 · Cited by 104 · see citing works
Alterations of Myelin Content in Parkinson’s Disease: A Cross-Sectional Neuroimaging Study
Dean, D., Sojkova, J., Hurley, S. A., Kecskemeti, S., Okonkwo, O. C., Bendlin, B. B., Theisen, F., Johnson, S. C., Alexander, A. L., & Gallagher, C. L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163774 · Cited by 103 · see citing works
Tract-based Analysis of Magnetization Transfer Ratio and Diffusion Tensor Imaging of the Frontal and Frontotemporal Connections in Schizophrenia
Mandl, R. C. W., Schnack, H. G., Luigjes, J., van den Heuvel, M. P., Cahn, W., Kahn, R. S., & Pol, H. E. H. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn161 · Cited by 99 · see citing works
Histological validation of fast macromolecular proton fraction mapping as a quantitative myelin imaging method in the cuprizone demyelination model
Khodanovich, M. Y., Sorokina, I. V., Glazacheva, V., Евгеньевич, А. А., Nemirovich-Danchenko, N. M., Romashchenko, A. V., Tolstikova, T. G., Mustafina, L. R., & Yarnykh, V. L. (2017) · Scientific Reports · doi:10.1038/srep46686 · Cited by 97 · see citing works
White matter abnormalities in adolescents with major depressive disorder
Bessette, K. L., Nave, A. M., Caprihan, A., & Stevens, M. C. G. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9274-8 · Cited by 96 · see citing works
Quantitative 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
MR Relaxation in Multiple Sclerosis
MacKay, A. L., Vavasour, I. M., Rauscher, A., Kolind, S., Mädler, B., Moore, G. R. W., Traboulsee, A. L., Li, D. K. B., & Laule, C. (2008) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2008.09.007 · Cited by 94 · see citing works
Self-citation
Identifying population differences in whole-brain structural networks: A machine learning approach
Robinson, E. C., Hammers, A., Ericsson, A. B., Edwards, A. D., & Rueckert, D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.019 · Cited by 93 · see citing works
Dynamics of the human structural connectome underlying working memory training
Caeyenberghs, K., Metzler-Baddeley, C., Foley, S., & Jones, D. K. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1973-15.2016 · Cited by 91 · see citing works
Evaluation of diffusion kurtosis imaging in ex vivo hypomyelinated mouse brains
Kelm, N. D., West, K. L., Carson, R. P., Gochberg, D. F., Ess, K. C., & Does, M. D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.028 · Cited by 84 · see citing works
White Matter Integrity in Veterans With Mild Traumatic Brain Injury
Sorg, S. F., Delano‐Wood, L., Luc, N., Schiehser, D. M., Hanson, K. L., Nation, D. A., Lanni, E., Jak, A. J., Lu, K., Meloy, M. J., et al. (2013) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0b013e31828a1aa4 · Cited by 82 · see citing works
Evaluation of white matter myelin water fraction in chronic stroke
Borich, M. R., MacKay, A. L., Vavasour, I. M., Rauscher, A., & Boyd, L. A. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.04.006 · Cited by 81 · see citing works
Self-citation
White-matter relaxation time and myelin water fraction differences in young adults with autism
Deoni, S., Zinkstok, J., Daly, E., Ecker, C., Williams, S., & Murphy, D. (2014) · Psychological Medicine · doi:10.1017/s0033291714001858 · Cited by 80 · see citing works
Hypomyelination following deletion of Tsc2 in oligodendrocyte precursors
Carson, R. P., Kelm, N. D., West, K. L., Does, M. D., Fu, C., Weaver, G., McBrier, E., Parker, B., Grier, M. D., & Ess, K. C. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.254 · Cited by 78 · see citing works
Deficient MWF mapping in multiple sclerosis using 3D whole-brain multi-component relaxation MRI
Kitzler, H. H., Su, J., Zeineh, M., Harper-Little, C., Leung, A., Kremenchutzky, M., Deoni, S., & Rutt, B. K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.052 · Cited by 77 · see citing works
Heritability of DTI and MTR in nine-year-old children
Brouwer, R. M., Mandl, R. C. W., Peper, J. S., van Baal, G. C. M., Kahn, R. S., Boomsma, D. I., & Pol, H. E. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.017 · Cited by 74 · see citing works
More highly myelinated white matter tracts are associated with faster processing speed in healthy adults
Chopra, S., Shaw, M. E., Shaw, T. B., Sachdev, P. S., Anstey, K. J., & Cherbuin, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.069 · Cited by 68 · see citing works
The Myelin Water Fraction Serves as a Marker for Age-Related Myelin Alterations in the Cerebral White Matter – A Multiparametric MRI Aging Study
Faizy, T. D., Thaler, C. P., Broocks, G., Flottmann, F., Leischner, H., Kniep, H. C., Nawabi, J., Schön, G., Stellmann, J., Kemmling, A., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00136 · Cited by 70 · see citing works
Direct evidence of intra- and interhemispheric corticomotor network degeneration in amyotrophic lateral sclerosis: An automated MRI structural connectivity study
Rose, S., Pannek, K., Bell, C., Baumann, F., Hutchinson, N. M., Coulthard, A., McCombe, P., & Henderson, R. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.054 · Cited by 73 · see citing works
Examining the relationships between cortical maturation and white matter myelination throughout early childhood
Croteau-Chonka, E. C., Dean, D. C., Remer, J., Dirks, H., O'Muircheartaigh, J., & Deoni, S. C. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.038 · Cited by 70 · see citing works
MR‐based age‐related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan
Tullo, S., Patel, R., Devenyi, G. A., Salaciak, A., Bedford, S. A., Farzin, S., Wlodarski, N., Tardif, C. L., Breitner, J. C. S., & Chakravarty, M. M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24771 · Cited by 62 · see citing works
Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments
Benjamini, D., & Basser, P. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.033 · Cited by 68 · 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
Diffusion 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
Self-citation
Sex differences in the human corpus callosum microstructure: A combined T2 myelin-water and diffusion tensor magnetic resonance imaging study
Liu, F., Vidarsson, L., Winter, J. D., Tran, H., & Kassner, A. (2010) · Brain Research · doi:10.1016/j.brainres.2010.04.064 · Cited by 65 · see citing works
Genetic Analysis of Cortical Thickness and Fractional Anisotropy of Water Diffusion in the Brain
Kochunov, P., Glahn, D. C., Nichols, T. E., Winkler, A. M., Hong, E. L., Holcomb, H. H., Stein, J. L., Thompson, P. M., Curran, J. E., Carless, M. A., et al. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00120 · Cited by 61 · see citing works
Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia
Kochunov, P., Ganjgahi, H., Winkler, A. M., Kelly, S., Shukla, D. K., Du, X. M., Jahanshad, N., Rowland, L. M., Sampath, H., Patel, B., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23336 · Cited by 62 · see citing works
Diffusion magnetic resonance imaging in preterm brain injury
Pandit, A. S., Ball, G., Edwards, A. D., & Counsell, S. J. (2013) · Neuroradiology · doi:10.1007/s00234-013-1242-x · Cited by 61 · see citing works
Developmental differences in diffusion tensor imaging parameters in borderline personality disorder
New, A. S., Carpenter, D. M., Pérez-Rodríguez, M. M., Ripoll, L. H., Avedon, J., Patil, U., Hazlett, E. A., & Goodman, M. S. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.03.021 · Cited by 60 · see citing works
Normal-appearing cerebral white matter in healthy adults: mean change over 2 years and individual differences in change
Bender, A. R., & Raz, N. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.02.001 · Cited by 60 · see citing works
White matter and memory in healthy adults: Coupled changes over two years
Bender, A. R., Prindle, J., Brandmaier, A. M., & Raz, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.085 · Cited by 59 · see citing works
Atypical age‐dependent effects of autism on white matter microstructure in children of 2–7 years
Ouyang, M., Cheng, H., Mishra, V. R., Gong, G., Mosconi, M. W., Sweeney, J. A., Peng, Y., & Huang, H. (2015) · Human Brain Mapping · doi:10.1002/hbm.23073 · Cited by 61 · see citing works
Assessing structure and function of myelin in cervical spondylotic myelopathy
Liu, H., MacMillian, E. L., Jutzeler, C. R., Ljungberg, E., MacKay, A. L., Kolind, S., Mädler, B., Li, D. K. B., Dvorak, M. F., Curt, A. E. P., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004197 · Cited by 60 · see citing works
Self-citation
Linking Brain Connectivity Across Different Time Scales with Electroencephalogram, Functional Magnetic Resonance Imaging, and Diffusion Tensor Imaging
Jann, K., Federspiel, A., Giezendanner, S., Andreotti, J., Kottlow, M., Dierks, T., & Koenig, T. W. (2012) · Brain Connectivity · doi:10.1089/brain.2011.0063 · Cited by 58 · see citing works
Insights into human cerebral white matter maturation and degeneration across the adult lifespan
Kiely, M., Triebswetter, C., Cortina, L. E., Gong, Z., Alsameen, M. H., Spencer, R. G. S., & Bouhrara, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118727 · Cited by 56 · see citing works
Comparing MRI metrics to quantify white matter microstructural damage in multiple sclerosis
Lipp, I., Jones, D. K., Bells, S., Sgarlata, E., Foster, C., Stickland, R., Davidson, A. E., Tallantyre, E. C., Robertson, N. P., Wise, R. G., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24568 · Cited by 52 · see citing works
Hybrid multidimensional T2 and diffusion‐weighted MRI for prostate cancer detection
Wang, S., Peng, Y., Medved, M., Yousuf, A. N., Ivancevic, M. K., Karademir, İ., Jiang, Y., Antic, T., Sammet, S., Oto, A., et al. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24212 · Cited by 53 · see citing works
A Magnetization Transfer Imaging Study of Corpus Callosum Myelination in Young Children with Autism
Gozzi, M., Nielson, D. M., Lenroot, R., Ostuni, J. L., Luckenbaugh, D. A., Thurm, A. E., Giedd, J. N., & Swedo, S. E. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.026 · Cited by 53 · see citing works
Magnetic resonance transverse relaxation time T2 of knee cartilage in osteoarthritis at 3-T: a cross-sectional multicentre, multivendor reproducibility study
Balamoody, S., Williams, T. G., Wolstenholme, C., Waterton, J. C., Bowes, M. A., Hodgson, R. J., Zhao, S., Scott, M. L. J., Taylor, C., & Hutchinson, C. E. (2012) · Skeletal Radiology · doi:10.1007/s00256-012-1511-5 · Cited by 49 · see citing works
Synthetic Brain MRI
Gonçalves, F. G., Serai, S. D., & Zuccoli, G. (2018) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000189 · Cited by 48 · see citing works
Human brain atlas‐based volumetry and relaxometry: Application to healthy development and natural aging
Hasan, K. M., Walimuni, I. S., Kramer, L. A., & Frye, R. E. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22515 · Cited by 47 · see citing works
Microstructural Abnormalities in Language and Limbic Pathways in Orphanage-Reared Children: A Diffusion Tensor Imaging Study
Kumar, A., Behen, M. E., Singsoonsud, P., Veenstra, A. L., Wolfe-Christensen, C., Helder, E., & Chugani, H. T. (2014) · Journal of Child Neurology · doi:10.1177/0883073812474098 · Cited by 46 · see citing works
Normal Aging of the Brain
Kennedy, K. M., & Raz, N. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00068-3 · Cited by 45 · see citing works
Separate lanes for adding and reading in the white matter highways of the human brain
Grotheer, M., Zhen, Z., Lerma‐Usabiaga, G., & Kalanit Grill-spector, A. (2019) · Nature Communications · doi:10.1038/s41467-019-11424-1 · Cited by 44 · see citing works
Rapid high resolution T1 mapping as a marker of brain development: Normative ranges in key regions of interest
Eminian, S., Hajdu, S. D., Meuli, R. A., Maeder, P. P., & Hagmann, P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198250 · Cited by 43 · see citing works
White-matter degradation and dynamical compensation support age-related functional alterations in human brain
Petkoski, S., Ritter, P., & Jirsa, V. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac500 · Cited by 41 · see citing works
Brain lesion location and clinical status 20 years after a diagnosis of clinically isolated syndrome suggestive of multiple sclerosis
Dalton, C. M., Bodini, B., Samson, R. S., Battaglini, M., Fisniku, L., Thompson, A. J., Ciccarelli, O., Miller, D., & Chard, D. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458511420269 · Cited by 41 · see citing works
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Authors: Mädler, B., Drabycz, S. A., Kolind, S. H., Whittall, K. P., & MacKay, A. L.
Affiliations: University of British Columbia Hospital (CA)
University of Calgary (CA)
Corresponding author: Mädler, Burkhard
ORCID: Mädler, Burkhard
Kolind, Shannon H.
Venue: Magnetic Resonance Imaging
Publisher: Elsevier BV
Published: 2008-09
Volume: 26
Issue: 7
Pages: 874-888
ISSN: 0730-725X (ISSN-L)
DOI: 10.1016/j.mri.2008.01.047
OpenAlex: W2008655880
Cited by: 227
References: 77
Citations by year: 2026: 5 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 10 · 2021: 18 · 2020: 11 · 2019: 14 · 2018: 18 · 2017: 14 · 2016: 12 · 2015: 22 · 2014: 13 · 2013: 22 · 2012: 10
FWCI: 11.04
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Magnetic Resonance Imaging (publishedVersion)
PubMed (publishedVersion)
Funders: Bundesministerium für Bildung und Forschung
Killam Trusts
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords: diffusion anisotropy, myelination, myelin water fraction, fractional anisotropy, white matter, gray matter, T2 relaxation, mean diffusivity, corpus callosum, forceps minor, forceps major, voxel-based analysis, restricted diffusion
MeSH terms: Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Male, Middle Aged, Nerve Fibers, Myelinated, Water, Linear Models, Anisotropy, Diffusion Magnetic Resonance Imaging

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