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Understanding the Physiopathology Behind Axial and Radial Diffusivity Changes—What Do We Know?
Open accessAbstract
The use of the diffusion tensor imaging (DTI) is rapidly growing in the neuroimaging field. Nevertheless, rigorously performed quantitative validation of DTI pathologic metrics remains very limited owing to the difficulty in co-registering quantitative histology findings with magnetic resonance imaging. The aim of this review is to summarise the existing state of the art knowledge with respect to axial (λ║) and radial (λ┴) diffusivity as DTI markers of axonal and myelin damage, respectively. Firstly, we provide technical background for DTI and briefly discuss the specific organization of white matter in bundles of axonal fibres running in parallel; this is the natural target for imaging based on diffusion anisotropy. Secondly, we discuss the four seminal studies that paved the way for considering axial (λ║) and radial (λ┴) diffusivity as potential in vivo surrogate markers of axonal and myelin damage, respectively. Then, we present difficulties in interpreting axial (λ║) and radial (λ┴) diffusivity in clinical conditions associated with inflammation, oedema, and white matter fibre crossing. Finally, future directions are highlighted. In summary, DTI can reveal strategic information with respect to white matter tracts, disconnection mechanisms, and related symptoms. Axial (λ║) and radial (λ┴) diffusivity seem to provide quite consistent information in healthy subjects, and in pathological conditions with limited oedema and inflammatory changes. DTI remains one of the most promising non-invasive diagnostic tools in medicine.
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“We used a b-value of 4,000 s/mm 2 , as recommended for ex vivo DTI [47].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [47]
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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
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
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
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
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747
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
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C. M., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,392
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
Basser, P. J. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080707 · Cited by 1,526
Matsushima, G. K., & Morell, P. (2001) · Brain Pathology · doi:10.1111/j.1750-3639.2001.tb00385.x · Cited by 984
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
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
On standardizing the MR image intensity scale
Ny�l, L. G., & Udupa, J. K. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199912)42:6 · Cited by 575
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
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
The spatial mapping of translational diffusion coefficients by the NMR imaging technique
Taylor, D. G., & Bushell, M. C. (1985) · Physics in Medicine and Biology · doi:10.1088/0031-9155/30/4/009 · Cited by 344
Self-diffusion NMR imaging using stimulated echoes
Merboldt, K., Hänicke, W., & Frahm, J. (1985) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(85)90111-8 · Cited by 307
MR color mapping of myelin fiber orientation
Douek, P., Turner, R., Pekar, J., Patronas, N., & Bihan, D. L. (1991) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199111000-00003 · Cited by 274
Quantifying the early stages of remyelination following cuprizone-induced demyelination
Stidworthy, M. F., Genoud, S., Suter, U., Mantei, N., & Franklin, R. J. M. (2003) · Brain Pathology · doi:10.1111/j.1750-3639.2003.tb00032.x · Cited by 224
Armstrong, R. C., Le, T. Q., Frost, E. E., Borke, R. C., & Vana, A. C. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-19-08574.2002 · Cited by 178
Xie, M., Tobin, J. E., Budde, M. D., Chen, C.-I., Trinkaus, K., Cross, A. H., McDaniel, D. P., Song, S.-K., & Armstrong, R. C. (2010) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181e3de90 · Cited by 175
Kim, J. H., Loy, D. N., Liang, H., Trinkaus, K. M., Schmidt, R. E., & Song, S. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21316 · Cited by 173
Asken, B. M., DeKosky, S. T., Clugston, J. R., Jaffee, M. S., & Bauer, R. M. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9708-9 · Cited by 167
Chiang, C.-W., Wang, Y., Sun, P., Lin, T.-H., Trinkaus, K., Cross, A. H., & Song, S.-K. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.064 · Cited by 134
Kim, G.-M., Xu, J., Xu, J., Song, S., Yan, P., Ku, G., Xu, X., & Hsu, C. Y. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-17-06617.2001 · Cited by 127
Waller, R. E., Dotterer, H. L., Murray, L., Maxwell, A. M., & Hyde, L. W. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.01.014 · Cited by 118
Wang, X., Cusick, M. F., Wang, Y., Sun, P., Libbey, J. E., Trinkaus, K. M., Fujinami, R. S., & Song, S. (2014) · NMR in Biomedicine · doi:10.1002/nbm.3129 · Cited by 109
Khong, E., Odenwald, N., Hashim, E., & Cusimano, M. D. (2016) · Frontiers in Neurology · doi:10.3389/fneur.2016.00156 · Cited by 107
Croall, I. D., Lohner, V., Moynihan, B., Khan, U., Hassan, A., O'Brien, J. T., Morris, R. G., Tozer, D. J., Cambridge, V. C., Harkness, K., et al. (2017) · Clinical Science · doi:10.1042/cs20170146 · Cited by 105
Adachi, M., Takahashi, K., Nishikawa, M., Miki, H., & Uyama, M. (1996) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/bf02539411 · Cited by 104
Tu, T., Williams, R. A., Lescher, J. D., Jikaria, N. R., Turtzo, L. C., & Frank, J. A. (2016) · Annals of Neurology · doi:10.1002/ana.24641 · Cited by 100
Radial diffusivity in remote optic neuritis discriminates visual outcomes
Naismith, R. T., Xu, J., Tutlam, N. T., Trinkaus, K. M., Cross, A. H., & Song, S. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e0434d · Cited by 94
Diffusion Tensor Imaging in Chronic Inflammatory Demyelinating Polyneuropathy
Kronlage, M., Pitarokoili, K., Schwarz, D. F., Godel, T., Heiland, S., Yoon, M., Bendszus, M., & Bäumer, P. (2017) · Investigative Radiology · doi:10.1097/rli.0000000000000394 · Cited by 94
Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis
Oh, J., Saidha, S., Chen, M., Smith, S. A., Prince, J. L., Jones, C. K., Diener‐West, M., van Zijl, P. C. M., Reich, D. S., & Calabresi, P. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828154c5 · Cited by 90
Rovaris, M., Agosta, F., Pagani, E., & Filippi, M. (2008) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2008.08.001 · Cited by 88
Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis
Oh, J., Zackowski, K. M., Chen, M., Newsome, S. D., Saidha, S., Smith, S. A., Diener‐West, M., Prince, J. L., Jones, C. K., van Zijl, P. C. M., et al. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512456614 · Cited by 80
KIAA0369, doublecortin-like kinase, is expressed during brain development
Burgess, H. A., Martı́nez, S., & Reiner, O. (1999) · Journal of Neuroscience Research · doi:10.1002/(sici)1097-4547(19991115)58:4 · Cited by 79
Kawai, S.-I., Vora, S. C., Das, S., Gachie, E., BECKER, B. A., & Neufeld, A. H. (2001) · The FASEB Journal · doi:10.1096/fj.00-0666fje · Cited by 76
In vivo MRI analysis of an inflammatory injury in the developing brain
Lodygensky, G. A., West, T., Stump, M., Holtzman, D. M., Inder, T. E., & Neil, J. J. (2009) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2009.11.005 · Cited by 71
Axon damage and repair in multiple sclerosis
Perry, V. H., & Anthony, D. C. (1999) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1999.0509 · Cited by 67
Rosenbaum, D. M., Rosenbaum, P. S., Singh, M., Gupta, G., Gupta, H., Li, B., & Roth, S. (2001) · Journal of Neuro-Ophthalmology · doi:10.1097/00041327-200103000-00015 · Cited by 62
“A new imaging modality to non-invasively assess multiple sclerosis pathology”
Cross, A. H., & Song, S. (2016) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2016.10.002 · Cited by 56
Gatto, R. G., Chu, Y., Ye, A. Q., Price, S. D., Tavassoli, E., Buenaventura, A., Brady, S. T., Magin, R. L., Kordower, J. H., & Morfini, G. A. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv248 · Cited by 52
Sousa, S. S., Amaro, E., Crego, A., Gonçalves, Ó. F., & Sampaio, A. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9761-4 · Cited by 46
Individual Differences in White Matter Microstructure in the Healthy Brain
Scholz, J., Tomassini, V., & Johansen‐Berg, H. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00014-7 · Cited by 45
A new approach to structural integrity assessment based on axial and radial diffusivities.
Wheeler‐Kingshott, C. A. M. G., Ciccarelli, O., Schneider, T., Alexander, D. C., & Cercignani, M. (2012) · Europe PMC (PubMed Central) · Cited by 24
Cheng, Y.-W., Chung, H., Chen, C., & Chou, M. (2010) · European Journal of Radiology · doi:10.1016/j.ejrad.2009.12.032 · Cited by 16
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
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Sargurupremraj, M., Suzuki, H., Jian, X., Sarnowski, C., Evans, T. E., Bis, J. C., Eiriksdottir, G., Sakaue, S., Terzikhan, N., Habes, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19111-2 · Cited by 214
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Self-citation
Metadata
- Authors
- Winklewski, P. J., Sabisz, A., Naumczyk, P., Jodzio, K., Szurowska, E., & Szarmach, A.
- Affiliations
- Gdańsk Medical University (PL)
- University of Gdańsk (PL)
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2018-02-27
- Volume
- 9
- Pages
- 92-92
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC5835085
- OpenAlex
- W2793043361
- Cited by
- 463
- References
- 51
- Citations by year
- 2026: 37 · 2025: 68 · 2024: 68 · 2023: 61 · 2022: 68 · 2021: 67 · 2020: 53 · 2019: 33 · 2018: 6
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Neurology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Narodowe Centrum Nauki (2017/01/X/NZ5/00909 and 2017/01/X/NZ4/00779)
- 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 tensor imaging, axial diffusivity, radial diffusivity, axonal injury, myelin damage, white matter, diffusion anisotropy, edema, inflammation, surrogate markers
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