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In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy
Open accessAbstract
There is a need for accurate quantitative non-invasive biomarkers to monitor myelin pathology in vivo and distinguish myelin changes from other pathological features including inflammation and axonal loss. Conventional MRI metrics such as T2, magnetization transfer ratio and radial diffusivity have proven sensitivity but not specificity. In highly coherent white matter bundles, compartment-specific white matter tract integrity (WMTI) metrics can be directly derived from the diffusion and kurtosis tensors: axonal water fraction, intra-axonal diffusivity, and extra-axonal radial and axial diffusivities. We evaluate the potential of WMTI to quantify demyelination by monitoring the effects of both acute (6weeks) and chronic (12weeks) cuprizone intoxication and subsequent recovery in the mouse corpus callosum, and compare its performance with that of conventional metrics (T2, magnetization transfer, and DTI parameters). The changes observed in vivo correlated with those obtained from quantitative electron microscopy image analysis. A 6-week intoxication produced a significant decrease in axonal water fraction (p<0.001), with only mild changes in extra-axonal radial diffusivity, consistent with patchy demyelination, while a 12-week intoxication caused a more marked decrease in extra-axonal radial diffusivity (p=0.0135), consistent with more severe demyelination and clearance of the extra-axonal space. Results thus revealed increased specificity of the axonal water fraction and extra-axonal radial diffusivity parameters to different degrees and patterns of demyelination. The specificities of these parameters were corroborated by their respective correlations with microstructural features: the axonal water fraction correlated significantly with the electron microscopy derived total axonal water fraction (ρ=0.66; p=0.0014) but not with the g-ratio, while the extra-axonal radial diffusivity correlated with the g-ratio (ρ=0.48; p=0.0342) but not with the electron microscopy derived axonal water fraction. These parameters represent promising candidates as clinically feasible biomarkers of demyelination and remyelination in the white matter.
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“This finding is not surprising as NDI is a surrogate index equivalent to NSF/(1–MSF)26, 43 (post hoc analysis confirms a correlation between these two measures).”
From Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? (2017) · cites this paper as [43]
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Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Elastix: a toolbox for intensity-based medical image registration
Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2035616 · Cited by 4,311
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
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
The Mouse in Biomedical Research
(1983) · Elsevier eBooks · doi:10.1016/c2013-0-10677-0 · Cited by 1,021
A white matter disorder in dementia of the Alzheimer type: A pathoanatomical study
Brun, A., & Englund, E. (1986) · Annals of Neurology · doi:10.1002/ana.410190306 · Cited by 1,014
Matsushima, G. K., & Morell, P. (2001) · Brain Pathology · doi:10.1111/j.1750-3639.2001.tb00385.x · Cited by 984
CellProfiler™: Free, Versatile Software for Automated Biological Image Analysis
Lamprecht, M. R., Sabatini, D. M., & Carpenter, A. E. (2007) · BioTechniques · doi:10.2144/000112257 · Cited by 880
Flagged first, then by citations
Research works printed but not linked: 3
- Fieremans, 2012, Diffusion distinguishes between axonal loss and demyelination in brain white matter, Proc. Intl. Soc. Magn. Reson. Med., 20
- Novikov, 2012, Relating extracellular diffusivity to cell size distribution and packing density as applied to white matter, Proc. Intl. Soc. Mag. Reson. Med., 20, 1829
- Novikov, 2015, From diffusion signal moments to neurite diffusivities, volume fraction and orientation distribution: an exact solution, Proc. Intl. Soc. Mag. Reson. Med., 23, 469
Cited by
Sorted by citations
Items 101–186 of 186
Maiti, S., Frielinghaus, H., Gräßel, D., Dulle, M., Axer, M., & Förster, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-92995-2 · Cited by 13
White matter microstructure alterations in early psychosis and schizophrenia
Pavan, T., Alemán‐Gómez, Y., Jenni, R., Steullet, P., Schilliger, Z., Dwir, D., Cleusix, M., Alameda, L., Kim, Q., Conus, P., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03397-1 · Cited by 15
Self-citationZhang, Y., Jiang, L., Zhang, D., Wang, L., Fei, X., Liu, X., Fu, X., Niu, C., Wang, Y., & Qian, R. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146558 · Cited by 14
Olesen, J. L., Østergaard, L., Shemesh, N., & Jespersen, S. N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117849 · Cited by 13
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Hellewell, S. C., Welton, T., Eisenhuth, K., Tchan, M. C., & Grieve, S. M. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102555 · Cited by 13
Jelescu, I., Grussu, F., Ianuș, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F. A., Syeda, W. T., Wang, N., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30429 · Cited by 21
Self-citationGenc, S., Ball, G., Chamberland, M., Raven, E. P., Tax, C. M. W., Ward, I. L., Yang, J. Y., Palombo, M., & Jones, D. K. (2025) · Nature Communications · doi:10.1038/s41467-025-58604-w · Cited by 13
McHugh, D. J., Cristinacce, P. L. H., Naish, J. H., & Parker, G. J. M. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27551 · Cited by 12
Imaging the multiple sclerosis lesion: insights into pathogenesis, progression and repair
Wang, C., Barnett, M. H., & Barnett, Y. (2019) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000698 · Cited by 11
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Ingo, C., Kurian, S., Higgins, J. P., Mahinrad, S., Jenkins, L. M., Gorelick, P. B., Lloyd‐Jones, D. M., & Sorond, F. A. (2021) · Brain Communications · doi:10.1093/braincomms/fcab080 · Cited by 11
Quattrini, G., Pini, L., Galazzo, I. B., Jelescu, I., Jovicich, J., Manenti, R., Frisoni, G. B., Marizzoni, M., Pizzini, F. B., & Pievani, M. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12513 · Cited by 9
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Sommer, R. C., Hata, J., Rimkus, C. D. M., da Costa, B. K., Nakahara, J., & Sato, D. K. (2021) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2021.103407 · Cited by 10
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Mozumder, M., Pozo, J. M., Coelho, S., & Frangi, A. F. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27831 · Cited by 10
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Dhiman, S., Fountain‐Zaragoza, S., Jensen, J. H., Falangola, M. F., McKinnon, E. T., Moss, H. G., Thorn, K. E., Rieter, W. J., Spampinato, M. V., Nietert, P. J., et al. (2022) · Aging Brain · doi:10.1016/j.nbas.2022.100037 · Cited by 10
Li, H., Zhang, H., Qin, K., Yin, L., Chen, Z., Zhang, F., Wu, B., Chen, T., Sweeney, J. A., Gong, Q., et al. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00870-1 · Cited by 9
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Ades‐Aron, B., Yeager, S., Miskin, N. P., Fieremans, E., GEORGE, A. E., & Golomb, J. B. (2018) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5845 · Cited by 9
Self-citationPhillips, J. S., Adluru, N., Chung, M. K., Radhakrishnan, H., Olm, C. A., Cook, P. A., Gee, J. C., Cousins, K. A. Q., Arezoumandan, S., Wolk, D. A., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1353306 · Cited by 9
Добрынина, Л. А., Kremneva, E. I., Витальевна, Ш. К., Geints, A. A., Filatov, A. S., Gadzhieva, Z. S., Gnedovskaya, E. V., Кротенкова, М. В., & Maximov, I. I. (2024) · Diagnostics · doi:10.3390/diagnostics14161838 · Cited by 8
Schou, M., Sæther, S. G., Drange, O. K., Brenner, E., Crespi, J., Eikenes, L., Mykland, M. S., Pintzka, C. W. S., Haberg, A. K., Sand, T., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-56934-6 · Cited by 8
Friesen, E., Hari, K., Sheft, M., Thiessen, J. D., & Martin, M. (2024) · Magnetic Resonance Materials in Physics, Biology and Medicine · doi:10.1007/s10334-024-01160-z · Cited by 7
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Fasoula, N., Xie, Y., Katsouli, N., Reidl, M., Kallmayer, M. A., Eckstein, H., Ntziachristos, V., Hadjileontiadis, L. J., Avgerinos, D. V., Briasoulis, Α., et al. (2023) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd10090383 · Cited by 7
Design and characterization of a 3D‐printed axon‐mimetic phantom for diffusion MRI
Mushtaha, F. N., Kuehn, T. K., El‐Deeb, O., Rohani, S. A., Helpard, L. W., Moore, J. T., Ladak, H. M., Moehring, A., Baron, C. A., & KHAN, A. R. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28886 · Cited by 7
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Dünger, L., Seidlitz, A., Jentsch, C., Platzek, I., Kotzerke, J., Beuthien‐Baumann, B., Baumann, M. A., Krause, M., Troost, E. G. C., & Raschke, F. (2021) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2021.09.007 · Cited by 7
Chen, J., Chung, S., Li, T., Fieremans, E., Novikov, D. S., Wang, Y., & Lui, Y. W. (2023) · The Neuroradiology Journal · doi:10.1177/19714009231177396 · Cited by 7
Self-citationДобрынина, Л. А., Kremneva, E. I., Витальевна, Ш. К., Geints, A. A., Filatov, A. S., Trubitsyna, V. V., Bitsieva, E. T., Byrochkina, A. A., Akhmetshina, Y. I., Maximov, I. I., et al. (2023) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro202312311195 · Cited by 6
Symmetric data-driven fusion of diffusion tensor MRI: Age differences in white matter
Colmenares, A. M., Hefner, M. B., Calhoun, V. D., Salerno, E. A., Fanning, J. T., Gothe, N. P., McAuley, E., Kramer, A. F., & Burzynska, A. Z. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1094313 · Cited by 6
Voldsbekk, I., Barth, C., Maximov, I. I., Kaufmann, T., Beck, D., Richard, G., Moberget, T., Westlye, L. T., & de Lange, A. G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.20.391698 · Cited by 7
Xiang, W., Xie, C., Luo, J., Zhang, W., Zhao, X., Yang, H., Cai, Y. C., Ding, J., Wang, Y., Hao, Y., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.727750 · Cited by 5
Lee, C. H., Walczak, P., & Zhang, J. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29207 · Cited by 5
Papazoglou, S., Ashtarayeh, M., Oeschger, J. M., Callaghan, M. F., Does, M. D., & Mohammadi, S. (2023) · NMR in Biomedicine · doi:10.1002/nbm.5070 · Cited by 4
Characterization of neurite and soma organization in the brain and spinal cord with diffusion MRI
Schilling, K. G., Palombo, M., Witt, A. A., O’Grady, K. P., Pizzolato, M., Landman, B. A., & Smith, S. A. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.111 · Cited by 5
Santos, A. C., Almeida, F., Gauthreaux, K. M., Mock, C., Kukull, W. A., Crary, J. F., & Oliveira, T. G. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70637 · Cited by 5
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Vélez-Uriza, F., Ordaz, R. P., Garay, E., Cisneros-Mejorado, A. J., & Arellano, R. O. (2024) · Scientific Reports · doi:10.1038/s41598-024-64501-x · Cited by 4
Li, R., Liu, J., Lan, X., Zhou, X., Tan, Y., Zhang, J., Tang, Y., Tang, L., Zhang, J., & Liu, D. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00942-2 · Cited by 4
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Dahhan, N. Z. A., Tseng, J., de Medeiros, C. B., Narayanan, S., Arnold, D. L., Coe, B. C., Munoz, D. P., Yeh, E. A., & Mabbott, D. (2024) · Brain Communications · doi:10.1093/braincomms/fcae353 · Cited by 6
Chung, S., Fieremans, E., Novikov, D. S., & Lui, Y. W. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02872-7 · Cited by 4
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Chuhutin, A., Hansen, B., Wlodarczyk, A., Owens, T., Shemesh, N., & Jespersen, S. N. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116406 · Cited by 3
Canales-Rodríguez, E. J., Tax, C. M. W., Fischi-Gómez, E., Jones, D. K., Thiran, J., & Rafael‐Patiño, J. (2025) · Frontiers in Physics · doi:10.3389/fphy.2025.1516630 · Cited by 3
Pavan, T., Steullet, P., Alemán‐Gómez, Y., Jenni, R., Schilliger, Z., Cleusix, M., Alameda, L., Kim, Q., Conus, P., Hagmann, P., et al. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103883 · Cited by 3
Self-citationChung, S., Bacon, T. E., Rath, J. F., Alivar, A., Coelho, S., Amorapanth, P. X., Fieremans, E., Novikov, D. S., Flanagan, S. R., Bacon, J. H., et al. (2024) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8213 · Cited by 3
Self-citationISMRM Clinical Focus Meeting 2023: “Imaging the Fire in the Brain”
Agarwal, N., Fan, A. P., Huang, X., Dehkharghani, S., & van der Kolk, A. G. (2024) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29587 · Cited by 3
Human gray matter microstructure mapped using neurite exchange imaging (NEXI) on a clinical scanner
Uhl, Q., Pavan, T., Feiweier, T., Piredda, G. F., & Jelescu, I. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.32 · Cited by 3
Self-citationSu, X. Y., Kat, S., Wang, H., Ma, Z., Yin, T., Zhao, L., Peng, S., Gong, X., Liu, Q., Han, G., et al. (2024) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-024-01814-y · Cited by 3
Jelescu, I., Shepherd, T. M., Novikov, D. S., Ding, Y., Ades‐Aron, B., Smith, J. M., Vahle, T., Babb, J. S., Friedman, K. P., de Leon, M. J., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/441840 · Cited by 3
Self-citationCoelho, S., Liao, Y., Szczepankiewicz, F., Veraart, J., Chung, S., Lui, Y. W., Novikov, D. S., & Fieremans, E. (2024) · PubMed · doi:10.48550/arxiv.2402.17175 · Cited by 3
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Schilliger, Z., Pavan, T., Alemán‐Gómez, Y., Steullet, P., Céléreau, E., Binz, P., Celen, Z., Piguet, C., Merglen, A., Hagmann, P., et al. (2025) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.01.026 · Cited by 3
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Chung, S., Fieremans, E., Rath, J. F., & Lui, Y. W. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823036-7.00026-8 · Cited by 2
Self-citationMotegi, H., Kufukihara, K., Kitagawa, S., Sekiguchi, K., Hata, J., Fujiwara, H., Jinzaki, M., Okano, H., Nakamura, M., Iguchi, Y., et al. (2023) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2023.122851 · Cited by 2
Friesen, E., Sheft, M., Hari, K., Palmer, V. L., Zhu, S., Herrera, S. L., Buist, R. J., Jiang, D., Li, X., Bigio, M. R. D., et al. (2024) · ASN NEURO · doi:10.1080/17590914.2024.2404366 · Cited by 5
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Stepanov, V. N., Coelho, S., Ades‐Aron, B., Chen, J., Shepherd, T. M., Novikov, D. S., Kister, I., & Fieremans, E. (2025) · medRxiv · doi:10.1101/2025.11.07.25339773 · Cited by 2
Self-citationHertanu, A., Pavan, T., Uhl, Q., Mezzano, S., Feiweier, T., & Jelescu, I. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.06.692761 · Cited by 2
Self-citationSandgaard, A. D., & Jespersen, S. N. (2025) · NMR in Biomedicine · doi:10.1002/nbm.70004 · Cited by 1
Han, X., Chen, J., Liu, Z., Liu, J., Lin, M., & Wang, N. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121922 · Cited by 1
Villaseñor, P. J., Luna‐Munguía, H., Ramírez-Manzanares, A., Coronado‐Leija, R., & Concha, L. (2026) · Scientific Reports · doi:10.1038/s41598-026-51531-w · Cited by 1
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Ianuș, A., Carvalho, J., Fernandes, F. F., Cruz, R., Chavarrías, C., Palombo, M., & Shemesh, N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.11.455923 · Cited by 1
Cheng, G. W., Ma, I. W.-T., Huang, J., Yeung, S. H., Ho, P., Chen, Z., Mak, H. K., Herrup, K., Chan, K. W. Y., & Tse, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.24.547147 · Cited by 1
Asadi, S., Spencer, A. P. C., Alemán‐Gómez, Y., Jedynak, M., Canales-Rodríguez, E. J., Pavan, T., Mullier, E., de Wouters, L., Rigoni, I., Lajous, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.28.685017 · Cited by 1
Self-citationDhaliwal, R. (2017) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/26811
Tristão‐Pereira, C., Diao, Y., Yin, T., da Silva, A. R., Lanz, B., Pierzchała, K., Poitry‐Yamate, C., & Jelescu, I. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.30.926444
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Filipiak, P., Shepherd, T. M., Basler, L., Zuccolotto, A. P., Placantonakis, D. G., Schneider, W., Boada, F. E., & Baete, S. H. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-21206-2_8
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Self-citationWu, L. C., Bells, S., Tseng, J., Narayanan, S., Arnold, D. L., Yeh, E. A., & Mabbott, D. (2025) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2025.106335
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Ravin, R., Williamson, N. H., Cai, T. X., Gudino, N., & Basser, P. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.30.697003
Figueredo, L. F., Chen, J., Gaggi, N. L., Song, X., Jacobs, T., Silva-Albornoz, G., Pehel, S., Gonzalez, M., Giménez, S., Rosenzweig, I., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-39162-7
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Multi-contrast dual-resolution UTE for myelin fraction mapping and structural imaging
Yin, N., Rau, A., Reisert, M., İlbey, S., Mehr, K. T., Liu, S., Helmstädter, M., Schwabenland, M., Emir, U. E., Demerath, T., et al. (2026) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-026-01362-7
Spencer, A. P. C., Asadi, S., Alemán‐Gómez, Y., Wang, Q., Jedynak, M., Chan, C. H. M., Cionca, A., Ville, D. V. D., Olivier David, A., Hagmann, P., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.19.726180
Self-citationMartinez, C. S., Lopez, S., Hernandez, D. P., Figueroa, A., Lorenzo, K. D. L., Rodriguez, J., Radhakrishnan, V., Rodriguez, M. R., Winkler, A. M., Cisneros-Mejorado, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.01.729333
[First authorship is shared by Sebastian Papazoglou and Mohammad Ashtarayeh.]
Papazoglou, S., Ashtarayeh, M., Oeschger, J. M., Callaghan, M., Does, M., & Mohammadi, S. (2024) · MPG.PuRe (Max Planck Society)
Witt, A. A., Cronin, A. E., Busher, B., Stuart, I., Sweeney, G., O’Grady, K. P., Smith, S. A., By, S., & Schilling, K. G. (2026) · NMR in Biomedicine · doi:10.1002/nbm.70354
Burlet-Godinot, S., Fiumelli, H., Hertanu, A., Vorburger, D., Soya, M., Vivo, D. C. D., Jelescu, I., Martin, J., & Magistretti, P. J. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107594
Self-citationKremneva, E. I., Добрынина, Л. А., Витальевна, Ш. К., Geints, A. A., Sokolov, M. S., Zabitova, M. R., Filatov, A. S., & Кротенкова, М. В. (2026) · Diagnostics · doi:10.3390/diagnostics16172861
Bilateral microstructural changes in the trigeminal nerve in classical trigeminal neuralgia
Ayri, A., Danyluk, H. T., Dhillon, A., Beaulieu, C., Xie, H., Yang, Z., Kong, L., & Sankar, T. (2026) · Journal of Pain · doi:10.1016/j.jpain.2026.106444
Karimi, H., Exell, T., Peltier, S., Noll, D. C., Hampstead, B. M., Iordan, A. D., Damoiseaux, J. S., Daugherty, A. M., & Mishra, S. (2026) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2026.10.004
Metadata
- Authors
- Jelescu, I. O., Zurek, M., Winters, K. V., Veraart, J., Rajaratnam, A., Kim, N. S., Babb, J. S., Shepherd, T. M., Novikov, D. S., Kim, S. G., & Fieremans, E.
- Affiliations
- NYU Langone Health (US)
- New York University (US)
- Corresponding author
- Jelescu, Ileana O.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 132
- Pages
- 104-114
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4851889
- OpenAlex
- W2269202100
- Cited by
- 188
- References
- 55
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 23 · 2023: 11 · 2022: 14 · 2021: 22 · 2020: 21 · 2019: 17 · 2018: 19 · 2017: 20 · 2016: 10
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NINDS (R21 NS081230, R01 NS088040)
- NCATS (UL1 TR00038)
- Raymond and Beverly Sackler Laboratories for the Convergence of Biomedical, Physical, and Engineering Sciences
- Center of Advanced Imaging Innovation and Research (P41 EB017183)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- demyelination, remyelination, white matter tract integrity, corpus callosum, g-ratio, white matter microstructure
- MeSH terms
- Remyelination, Animals, Brain Mapping, Corpus Callosum, Cuprizone, Demyelinating Diseases, Diffusion, Female, Mice, Inbred C57BL, Microscopy, Electron, Myelin Sheath, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging
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