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Peshkin A.N.

M.F. Vladimirsky Moscow Regional Research Clinical Institute

Kotov S.V.

M.F. Vladimirsky Moscow Regional Research Clinical Institute

Tonia G.T.

M.F. Vladimirsky Moscow Regional Research Clinical Institute

Ovchinnikova E.O.

M.F. Vladimirsky Moscow Regional Research Clinical Institute

Evaluation of the effect of highly effective multiple sclerosis disease-modifying drugs on the progression of the disease using diffusion-weighted magnetic resonance imaging with tractography

Authors:

Peshkin A.N., Kotov S.V., Tonia G.T., Ovchinnikova E.O.

More about the authors

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To cite this article:

Peshkin AN, Kotov SV, Tonia GT, Ovchinnikova EO. Evaluation of the effect of highly effective multiple sclerosis disease-modifying drugs on the progression of the disease using diffusion-weighted magnetic resonance imaging with tractography. S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(7‑2):73‑78. (In Russ.)
https://doi.org/10.17116/jnevro202512507273

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References:

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  2. Hori M, Maekawa T, Kamiya K, et al. Advanced Diffusion MR Imaging for Multiple Sclerosis in the Brain and Spinal Cord. Magn Reson Med Sci. 2022;21(1):58-70.  https://doi.org/10.2463/mrms.rev.2021-0091
  3. Cercignani M, Gandini Wheeler-Kingshott C. From micro- to macro-structures in multiple sclerosis: what is the added value of diffusion imaging. NMR Biomed. 2019; 32:e3888. https://doi.org/10.1002/nbm.3888
  4. Filippi M, Iannucci G, Cercignani M, et al. A quantitative study of water diffusion in multiple sclerosis lesions and normal-appearing white matter using echo-planar imaging. Arch Neurol 2000; 57:1017-1021. https://doi.org/10.1001/archneur.57.7.1017
  5. Jang SH, Yeo SS, Choi EB. Diffusion Tensor Tractography Studies on Recovery Mechanisms of Aphasia in Stroke Patients: A Narrative Mini-Review. Healthcare (Basel). 2022;10(10):1927. https://doi.org/10.3390/healthcare10101927
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  8. Assaf Y, Pasternak O. Diffusion tensor imaging (DTI)-based white matter mapping in brain research: A review. J Mol Neurosci. 2008;34:51-61.  https://doi.org/10.1007/s12031-007-0029-0
  9. Kim S, Jang SH. Prediction of aphasia outcome using diffusion tensor tractography for arcuate fasciculus in stroke. Am J Neuroradiol. 2013;34:785-790.  https://doi.org/10.3174/ajnr.A3259
  10. Neil JJ. Diffusion imaging concepts for clinicians. J Magn Reson Imaging. 2008;27:1-7.  https://doi.org/10.1002/jmri.21087
  11. Seo JP, Kwon YH, Jang SH. Mini-review of studies reporting the repeatability and reproducibility of diffusion tensor imaging. Invest Magn Reson Imaging. 2019;23:26-33.  https://doi.org/10.13104/imri.2019.23.1.26
  12. Lee SK, Kim DI, Kim J. Diffusion-tensor MR imaging and fiber tractography: A new method of describing aberrant fiber connections in developmental CNS anomalies—Response. Radiographics. 2005;25:68.  https://doi.org/10.1148/rg.251045085
  13. Peshkin AN, Toniya GT, Stepanova EA, et al. Diffusion tensor tomography with tractography in assessment of the pyramidal system in patients with highly active multiple sclerosis. Nevrologiya, Nejropsihiatriya, Psihosomatika. 2024;16(3):31-37. (In Russ.). https://doi.org/10.14412/2074-2711-2024-3-31-37
  14. Parker G, Alexander D. Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philos Trans R Soc B Biol. Sci. 2005;360:893-902.  https://doi.org/10.1098/rstb.2005.1639
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