The DOI matches its Crossref record, with a small difference in title or year; 74 of the 77 references it cites were found in a registry or an index.
Is diffusion anisotropy an accurate monitor of myelination?
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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“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
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Cites
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239
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
SENSE: Sensitivity encoding for fast MRI
Pruessmann, K. P., Weiger, M., Scheidegger, M. B., & Boesiger, P. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5 · Cited by 6,303
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
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
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
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
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
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
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
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3 of the 77 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- Mädler, 2002, Correlation of multicomponent T2-relaxation data with diffusion tensor anisotropy measures in human brain, Proc ISMRM, 9
- Bells, 2007, Comparison of linear combination filtering to DTI and MTR in whole brain myelin-water imaging, Proc ISMRM, 15, 1606
- Mädler, 2006, In-vivo 3D multi-component T2-relaxation measurements for quantitative myelin imaging at 3T, Proc ISMRM, 13, 2112
- Laidlaw, 1999, Evaluating effects of diffusion weighting choice on accuracy of diffusion tensor MRI of fixed mouse spinal cord, Proc ISMRM, 1786
- Pajevic, 1999, Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain, Magn Reson Med, 42, 526, 10.1002/(SICI)1522-2594(199909)42:3<526::AID-MRM15>3.0.CO;2-J · DOI
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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
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
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
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 446
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
Metadata
- 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
- Venue
- Magnetic Resonance Imaging
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 26
- Issue
- 7
- Pages
- 874-888
- ISSN
- 0730-725X (ISSN-L)
- 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
- 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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