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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
NDI is a surrogate index equivalent to NSF/(1-MSF).
“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]
The Introduction describes axonal water fraction (AWF), and Methods §2.4 gives an analogous calculation, tAWF = tAVF/(1 − MVF). Neither passage establishes that NDI is equivalent to NSF/(1 − MSF); searches for that expression and its component terms found no passage addressing the claimed equivalence. Page numbers were unavailable in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
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 6,806 · see citing works
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 · see citing works
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 · see citing works
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 · 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
The Mouse in Biomedical Research
(1983) · Elsevier eBooks · doi:10.1016/c2013-0-10677-0 · Cited by 1,021 · see citing works
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 · see citing works
Matsushima, G. K., & Morell, P. (2001) · Brain Pathology · doi:10.1111/j.1750-3639.2001.tb00385.x · Cited by 984 · see citing works
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 · see citing works
White Matter Changes in Schizophrenia: Evidence for Myelin-Related Dysfunction
Davis, K. L., Stewart, D. G., Friedman, J. I., Buchsbaum, M., Harvey, P. D., Hof, P. R., Buxbaum, J., & Haroutunian, V. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.5.443 · Cited by 793 · see citing works
White matter damage and cognitive impairment after traumatic brain injury
Kinnunen, K. M., Greenwood, R., Powell, J. H., Leech, R., Hawkins, P. C. T., Bonnelle, V., Patel, M. C., Counsell, S. J., & Sharp, D. J. (2010) · Brain · doi:10.1093/brain/awq347 · Cited by 685 · see citing works
White matter characterization with diffusional kurtosis imaging
Fieremans, E., Jensen, J. H., & Helpern, J. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.006 · Cited by 561 · see citing works
Self-citationVeraart, J., Sijbers, J., Sunaert, S. G., Leemans, A., & Jeurissen, B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.028 · Cited by 505 · see citing works
Self-citationPraet, J., Guglielmetti, C., Berneman, Z., Van der Linden, A., & Ponsaerts, P. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.004 · Cited by 435 · see citing works
Cytological and quantitative characteristics of four cerebral commissures in the rhesus monkey
LaMantia, A., & RAKIC, P. T. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902910404 · Cited by 420 · see citing works
Remyelination protects axons from demyelination-associated axon degeneration
Irvine, K. A., & Blakemore, W. F. (2008) · Brain · doi:10.1093/brain/awn080 · Cited by 420 · see citing works
Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords
Klawiter, E. C., Schmidt, R. E., Trinkaus, K., Liang, H.-F., Budde, M. D., Naismith, R. T., Song, S.-K., Cross, A. H., & Benzinger, T. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.007 · Cited by 364 · see citing works
GRASE (Gradient‐and Spin‐Echo) imaging: A novel fast MRI technique
Oshio, K., & Feinberg, D. A. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910200219 · Cited by 344 · see citing works
Degeneracy in model parameter estimation for multi‐compartmental diffusion in neuronal tissue
Jelescu, I. O., Veraart, J., Fieremans, E., & Novikov, D. S. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3450 · Cited by 316 · see citing works
Self-citationCortical Demyelination Is Prominent in the Murine Cuprizone Model and Is Strain-Dependent
Skripuletz, T., Lindner, M., Kotsiari, A., Garde, N., Fokuhl, J., Linsmeier, F., Trebst, C., & Stangel, M. (2008) · The American Journal of Pathology · doi:10.2353/ajpath.2008.070850 · Cited by 271 · see citing works
Beaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320506 · Cited by 240 · see citing works
Monte Carlo study of a two‐compartment exchange model of diffusion
Fieremans, E., Novikov, D. S., Jensen, J. H., & Helpern, J. A. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1577 · Cited by 234 · see citing works
Self-citationStroke Assessment With Diffusional Kurtosis Imaging
Hui, E. S. K., Fieremans, E., Jensen, J. H., Tabesh, A., Feng, W., Bonilha, L., Spampinato, M. V., Adams, R. J., & Helpern, J. A. (2012) · Stroke · doi:10.1161/strokeaha.112.657742 · Cited by 232 · see citing works
Self-citationQuantifying 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 · see citing works
Skripuletz, T., Gudi, V., Hackstette, D., & Stangel, M. (2011) · Histology and Histopathology · doi:10.14670/hh-26.1585 · Cited by 209 · see citing works
Jelescu, I. O., Veraart, J., Adisetiyo, V., Milla, S. S., Novikov, D. S., & Fieremans, E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.009 · Cited by 202 · see citing works
Self-citationIs the magnetization transfer ratio a marker for myelin in multiple sclerosis?
Vavasour, I. M., Laule, C., Li, D. K. B., Traboulsee, A. L., & MacKay, A. L. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22441 · Cited by 201 · see citing works
Steelman, A. J., Thompson, J. P., & Li, J. (2012) · Neuroscience Research · doi:10.1016/j.neures.2011.10.002 · Cited by 183 · see citing works
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 · see citing works
Mason, J. L., Langaman, C., Morell, P., Suzuki, K., & Matsushima, G. K. (2001) · Neuropathology and Applied Neurobiology · doi:10.1046/j.0305-1846.2001.00301.x · Cited by 172 · see citing works
Lindner, M., Heine, S., Haastert, K., Garde, N., Fokuhl, J., Linsmeier, F., Grothe, C., Baumgärtner, W., & Stangel, M. (2008) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2007.00879.x · Cited by 169 · see citing works
Boonstra, H., Oosterhuis, J. W., Oosterhuis, A., & Fleuren, G. J. (1983) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/bf00695061 · Cited by 167 · see citing works
Guglielmetti, C., Veraart, J., Roelant, E., Mai, Z., Daans, J., Audekerke, J. V., Naeyaert, M., Vanhoutte, G., y Palacios, R. D., Praet, J., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.052 · Cited by 160 · see citing works
Self-citationQuantitative 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
Novel White Matter Tract Integrity Metrics Sensitive to Alzheimer Disease Progression
Fieremans, E., Benitez, A. M., Jensen, J. H., Falangola, M. F., Tabesh, A., Deardorff, R. L., Spampinato, M. V., Babb, J. S., Novikov, D. S., Ferris, S. H., et al. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3553 · Cited by 147 · see citing works
Self-citationGibbs ringing in diffusion MRI
Veraart, J., Fieremans, E., Jelescu, I., Knöll, F., & Novikov, D. S. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25866 · Cited by 144 · see citing works
Self-citationBenitez, A. M., Fieremans, E., Jensen, J. H., Falangola, M. F., Tabesh, A., Ferris, S. H., & Helpern, J. A. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.11.001 · Cited by 132 · see citing works
Self-citationFalangola, M. F., Guilfoyle, D. N., Tabesh, A., Hui, E. S., Nie, X., Jensen, J. H., Gerum, S. V., Hu, C., LaFrancois, J., Collins, H. R., et al. (2014) · NMR in Biomedicine · doi:10.1002/nbm.3140 · Cited by 96 · see citing works
Three-dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain
Aggarwal, M., Mori, S., Shimogori, T., Blackshaw, S., & Zhang, J. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22426 · Cited by 90 · 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
Wu, Q., Yang, Q., Cate, H. S., Kemper, D., Binder, M. D., Wang, H., Fang, K., Quick, M. J., Marriott, M. P., Kilpatrick, T. J., et al. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21111 · Cited by 84 · see citing works
Turati, L., Moscatelli, M. E. M., Mastropietro, A., Dowell, N. G., Zucca, I., Erbetta, A., Cordiglieri, C., Brenna, G., Bianchi, B., Mantegazza, R., et al. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3253 · Cited by 83 · see citing works
Perspectives on multiple sclerosis.
Grossman, R. I., & McGowan, J. C. (1998) · PubMed Central · Cited by 81 · see citing works
Axonal deficits in young adults with High Functioning Autism and their impact on processing speed
Lazar, M., Miles, L., Babb, J. S., & Donaldson, J. B. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.01.014 · Cited by 79 · see citing works
Self-citationZaaraoui, W., Deloire, M., Merle, M., Girard, C., Raffard, G., Biran, M., Inglese, M., Petry, K. G., Gonen, O., Brochet, B., et al. (2008) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-008-0141-3 · Cited by 72 · see citing works
Magnetic resonance outcome measures in multiple sclerosis trials
Filippi, M., Preziosa, P., & Rocca, M. A. (2014) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000095 · Cited by 64 · see citing works
Collier, Q., Veraart, J., Jeurissen, B., den Dekker, A. J., & Sijbers, J. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25351 · Cited by 63 · see citing works
Self-citationWehrl, H. F., Bezrukov, I., Wiehr, S., Lehnhoff, M., Fuchs, K., Mannheim, J. G., Quintanilla‐Martínez, L., Kohlhofer, U., Kneilling, M., Pichler, B. J., et al. (2015) · PubMed · doi:10.14670/hh-30.601 · Cited by 58 · see citing works
N -acetyl-aspartate levels correlate with intra-axonal compartment parameters from diffusion MRI
Grossman, E. J., Kirov, I. I., Gonen, O., Novikov, D. S., Davitz, M. S., Lui, Y. W., Grossman, R. I., Inglese, M., & Fieremans, E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.061 · Cited by 44 · see citing works
Self-citationBiomarkers for Multiple Sclerosis
Tomioka, R., & Matsui, M. (2014) · Internal Medicine · doi:10.2169/internalmedicine.53.1246 · Cited by 44 · see citing works
Fjær, S., Bø, L., Myhr, K., Torkildsen, Ø., & Wergeland, S. (2015) · Neurochemistry International · doi:10.1016/j.neuint.2015.02.006 · Cited by 27 · see citing works
Galvin, R. J., Regan, D., & Heron, J. (1976) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.39.9.861 · Cited by 21 · see citing works
Remyelination in Human CNS Lesions
Hommes, O. R. (1980) · Progress in brain research · doi:10.1016/s0079-6123(08)60056-4 · Cited by 11 · see citing works
Bonk, R. T., Schmiedl, U. P., Yuan, C., Nelson, J. A., BLACK, C. D. V., & Ladd, D. L. (2000) · Journal of Magnetic Resonance Imaging · doi:10.1002/1522-2586(200006)11:6 · Cited by 10 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Gareau PJ Rutt BK Karlik SJ Mitchell JR 2000 Magnetization transfer and multicomponent T2 relaxation measurements with histopathologic correlation in an experimental model of MS J Magn Reson Imaging 11 586 595 10862056
Cited by
Sorted by citations
Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation
Novikov, D. S., Fieremans, E., Jespersen, S. N., & Kiselev, V. G. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3998 · Cited by 581 · see citing works
Self-citationImaging brain microstructure with diffusion MRI: practicality and applications
Alexander, D. C., Dyrby, T. B., Nilsson, M., & Zhang, H. G. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3841 · Cited by 423 · see citing works
Studying neuroanatomy using MRI
Lerch, J. P., van der Kouwe, A. J. W., Raznahan, A., Paus, T., Johansen‐Berg, H., Miller, K. L., Smith, S. M., Fischl, B. R., & Sotiropoulos, S. N. (2017) · Nature Neuroscience · doi:10.1038/nn.4501 · Cited by 313 · see citing works
Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology?
Grussu, F., Schneider, T., Tur, C., Yates, R. L., Tachrount, M., Ianuş, A., Yiannakas, M. C., Newcombe, J., Zhang, H., Alexander, D. C., et al. (2017) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.445 · Cited by 291 · see citing works
Kamiya, K., Hori, M., & Aoki, S. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108908 · Cited by 283 · see citing works
Design and Validation of Diffusion MRI Models of White Matter
Jelescu, I. O., & Budde, M. D. (2017) · Frontiers in Physics · doi:10.3389/fphy.2017.00061 · Cited by 240 · see citing works
Self-citationNovikov, D. S., Veraart, J., Jelescu, I., & Fieremans, E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.006 · Cited by 242 · see citing works
Self-citationMultiple sclerosis animal models: a clinical and histopathological perspective
Kipp, M., Nyamoya, S., Hochstrasser, T., & Amor, S. (2017) · Brain Pathology · doi:10.1111/bpa.12454 · Cited by 226 · see citing works
TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times
Veraart, J., Novikov, D. S., & Fieremans, E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.030 · Cited by 212 · see citing works
Self-citationLazari, A., & Lipp, I. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117744 · Cited by 176 · see citing works
Szczepankiewicz, F., van Westen, D., Englund, E. M., Westin, C., Ståhlberg, F., Lätt, J., Sundgren, P. C., & Nilsson, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.038 · Cited by 169 · see citing works
Zaimi, A., Wabartha, M., Herman, V., Antonsanti, P.-L., Perone, C. S., & Cohen‐Adad, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-22181-4 · Cited by 162 · see citing works
Granberg, T., Fan, Q., Treaba, C. A., Ouellette, R., Herranz, E., Mangeat, G., Louapre, C., Cohen-Adad, J., Klawiter, E. C., Sloane, J. A., et al. (2017) · Brain · doi:10.1093/brain/awx247 · Cited by 184 · see citing works
An interactive meta-analysis of MRI biomarkers of myelin
Mancini, M., Karakuzu, A., Cohen‐Adad, J., Cercignani, M., Nichols, T. E., & Stikov, N. (2020) · eLife · doi:10.7554/elife.61523 · Cited by 160 · see citing works
Challenges for biophysical modeling of microstructure
Jelescu, I., Palombo, M., Bagnato, F. R., & Schilling, K. G. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108861 · Cited by 165 · see citing works
Self-citationInflammatory cytokines influence measures of white matter integrity in Bipolar Disorder
Benedetti, F., Poletti, S., Hoogenboezem, T. A., Mazza, E., Ambrée, O., de Wit, H., Wijkhuijs, A. J. M., Locatelli, C., Bollettini, I., Colombo, C., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.05.047 · Cited by 151 · see citing works
Aoki, Y. Y., Yoncheva, Y. N., Chen, B., Nath, T., Sharp, D. W., Lazar, M., Velasco, P., Milham, M. P., & Martino, A. D. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.2573 · Cited by 149 · see citing works
On the scaling behavior of water diffusion in human brain white matter
Veraart, J., Fieremans, E., & Novikov, D. S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.075 · Cited by 141 · see citing works
Self-citationPromise and pitfalls of g-ratio estimation with MRI
Campbell, J. S. W., Leppert, I. R., Narayanan, S., Boudreau, M., Duval, T., Cohen-Adad, J., Pike, G. B., & Stikov, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.038 · Cited by 129 · see citing works
Searching for the neurite density with diffusion MRI: challenges for biophysical modeling
Lampinen, B., Szczepankiewicz, F., Novén, M., van Westen, D., Hansson, O., Englund, E., Mårtensson, J., Westin, C., & Nilsson, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24542 · Cited by 123 · see citing works
Ayoub, R., Ruddy, R. M., Cox, E., Oyefiade, A., Derkach, D., Laughlin, S., Ades-aron, B., Shirzadi, Z., Fieremans, E., MacIntosh, B. J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0985-2 · Cited by 117 · see citing works
Self-citationPost mortem mapping of connectional anatomy for the validation of diffusion MRI
Yendiki, A., Aggarwal, M., Axer, M., Howard, A. F. D., van Walsum, A. V. C., & Haber, S. N. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119146 · Cited by 110 · see citing works
Advances in microstructural diffusion neuroimaging for psychiatric disorders
Pasternak, O., Kelly, S., Sydnor, V. J., & Shenton, M. E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.051 · Cited by 116 · see citing works
Diffusion MRI and the detection of alterations following traumatic brain injury
Hutchinson, E. B., Schwerin, S. C., Avram, A., Juliano, S. L., & Pierpaoli, C. M. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24065 · Cited by 108 · see citing works
Diffusion-Weighted Imaging: Recent Advances and Applications.
Martínez-Heras, E., Grussu, F., Prados, F., Solana, E., & Llufriu, S. (2021) · Seminars in ultrasound, CT, and MR · doi:10.1053/j.sult.2021.07.006 · Cited by 86 · see citing works
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
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
de Kouchkovsky, I., Fieremans, E., Fleysher, L., Herbert, J., Grossman, R. I., & Inglese, M. (2016) · Journal of Neurology · doi:10.1007/s00415-016-8118-z · Cited by 89 · see citing works
Self-citationLampinen, B., Szczepankiewicz, F., Mårtensson, J., van Westen, D., Hansson, O., Westin, C., & Nilsson, M. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28216 · Cited by 86 · see citing works
Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems
Coelho, S., Baete, S. H., Lemberskiy, G., Ades‐Aron, B., Barrol, G., Veraart, J., Novikov, D. S., & Fieremans, E. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119290 · Cited by 79 · see citing works
Self-citationCoelho, S., Pozo, J. M., Jespersen, S. N., Jones, D. K., & Frangi, A. F. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27714 · Cited by 76 · see citing works
Froeling, M., Tax, C. M. W., Vos, S. B., Luijten, P. R., & Leemans, A. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26259 · Cited by 74 · see citing works
Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging
Mohammadi, S., & Callaghan, M. F. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108990 · Cited by 72 · see citing works
Dong, J. W., Jelescu, I. O., Ades-Aron, B., Novikov, D. S., Friedman, K., Babb, J. S., Osorio, R. S., Galvin, J. E., Shepherd, T. M., & Fieremans, E. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.009 · Cited by 70 · see citing works
Self-citationWhole-brain ex-vivo quantitative MRI of the cuprizone mouse model
Wood, T., Simmons, C., Hurley, S. A., Vernon, A. C., Torres, J., Dell’Acqua, F., Williams, S., & Cash, D. (2016) · PeerJ · doi:10.7717/peerj.2632 · Cited by 66 · see citing works
Tax, C. M. W., Kleban, E., Chamberland, M., Baraković, M., Rudrapatna, U. S., & Jones, D. K. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117967 · Cited by 55 · see citing works
White matter plasticity and maturation in human cognition
Bells, S., Lefebvre, J., Longoni, G., Narayanan, S., Arnold, D. L., Yeh, E. A., & Mabbott, D. (2019) · Glia · doi:10.1002/glia.23661 · Cited by 53 · see citing works
Khodanovich, M. Y., Pishchelko, A. O., Glazacheva, V., Pan, E. S., Евгеньевич, А. А., Светлик, М. В., Tyumentseva, Y., Anan’ina, T. V., & Yarnykh, V. L. (2019) · Cells · doi:10.3390/cells8101204 · Cited by 53 · see citing works
Modeling white matter microstructure with fiber ball imaging
McKinnon, E. T., Helpern, J. A., & Jensen, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.025 · Cited by 51 · see citing works
Recent Developments in Fast Kurtosis Imaging
Hansen, B., & Jespersen, S. N. (2017) · Frontiers in Physics · doi:10.3389/fphy.2017.00040 · Cited by 50 · see citing works
Microstructural imaging in the spinal cord and validation strategies
Cohen-Adad, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.009 · Cited by 50 · see citing works
Modeling white matter tract integrity in aging with diffusional kurtosis imaging
Benitez, A. M., Jensen, J. H., Falangola, M. F., Nietert, P. J., & Helpern, J. A. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.07.006 · Cited by 47 · see citing works
Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI
Groeschel, S., Hagberg, G. E., Schultz, T., Balla, D. Z., Klose, U., Hauser, T., Nägele, T., Bieri, O., Prasloski, T., MacKay, A. L., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167274 · Cited by 47 · see citing works
Imaging Alzheimer's genetic risk using diffusion MRI: A systematic review
Harrison, J. R., Bhatia, S., Tan, Z. X., Mirza-Davies, A., Benkert, H., Tax, C. M. W., & Jones, D. K. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102359 · Cited by 48 · see citing works
White matter biomarkers from fast protocols using axially symmetric diffusion kurtosis imaging
Hansen, B., Khan, A. R., Shemesh, N., Lund, T. E., Sangill, R., Eskildsen, S. F., Østergaard, L., & Jespersen, S. N. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3741 · Cited by 46 · see citing works
Persistence of abnormalities in white matter in children with type 1 diabetes
Fox, L. A., Hershey, T. G., Mauras, N., Arbeláez, A. M., Tamborlane, W. V., Buckingham, B. A., Tsalikian, E., Englert, K., Raman, M. M., Jo, B., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4610-6 · Cited by 47 · see citing works
Chen, P.-Y., Chen, C., Hsu, Y., & Tseng, W. I. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116576 · Cited by 45 · see citing works
Salo, R. A., Miettinen, T., Laitinen, T., Gröhn, O. H. J., & Sierra, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.003 · Cited by 42 · see citing works
Voldsbekk, I., Barth, C., Maximov, I. I., Kaufmann, T., Beck, D., Richard, G., Moberget, T., Westlye, L. T., & de Lange, A. G. (2021) · Human Brain Mapping · doi:10.1002/hbm.25553 · Cited by 43 · see citing works
White Matter Tract Integrity: An Indicator of Axonal Pathology after Mild Traumatic Brain Injury
Chung, S., Fieremans, E., Wang, X., Kucukboyaci, N. E., Morton, C. J., Babb, J. S., Amorapanth, P. X., Foo, F.-Y. A., Novikov, D. S., Flanagan, S. R., et al. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2017.5320 · Cited by 40 · see citing works
Self-citationLampinen, B., Szczepankiewicz, F., Lätt, J., Knutsson, L., Mårtensson, J., Björkman-Burtscher, I. M., van Westen, D., Sundgren, P. C., Ståhlberg, F., & Nilsson, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120338 · Cited by 38 · see citing works
Zinnhardt, B., Belloy, M., Fricke, I. B., Orije, J., Guglielmetti, C., Hermann, S., Wagner, S., Schäfers, M., Van der Linden, A., & Jacobs, A. H. (2019) · Theranostics · doi:10.7150/thno.32461 · Cited by 30 · see citing works
Beard, C. L., Schmitz, J. M., Soder, H. E., Suchting, R., Yoon, J. H., Hasan, K. M., Narayana, P. A., Moeller, F. G., & Lane, S. D. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.03.023 · Cited by 35 · see citing works
Applying microstructural models to understand the role of white matter in cognitive development
Huber, E., Henriques, R. N., Owen, J. P., Rokem, A., & Yeatman, J. D. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100624 · Cited by 34 · see citing works
Chung, S., Fieremans, E., Kucukboyaci, N. E., Wang, X., Morton, C. J., Novikov, D. S., Rath, J. F., & Lui, Y. W. (2018) · Scientific Reports · doi:10.1038/s41598-018-21428-4 · Cited by 34 · see citing works
Self-citationBraeckman, K., Descamps, B., Pieters, L., Vral, A., Caeyenberghs, K., & Vanhove, C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101669 · Cited by 33 · see citing works
Reduced diffusion in normal appearing white matter of glioma patients following radio(chemo)therapy
Raschke, F., Wesemann, T., Wahl, H., Appold, S., Krause, M., Linn, J., & Troost, E. G. C. (2019) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2019.06.022 · Cited by 34 · see citing works
Increased Peripheral Interleukin 10 Relate to White Matter Integrity in Schizophrenia
Fu, G., Zhang, W., Dai, J., Liu, J., Li, F. Y., Wu, D., Xiao, Y., Shah, C., Sweeney, J. A., Wu, M. C., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00052 · Cited by 32 · see citing works
Benjamini, D., Hutchinson, E. B., Komlosh, M. E., Comrie, C. J., Schwerin, S. C., Zhang, G., Pierpaoli, C. M., & Basser, P. J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117195 · Cited by 30 · see citing works
Benefits of animal models to understand the pathophysiology of depressive disorders
Czéh, B., & Simon, M. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110049 · Cited by 30 · see citing works
Applications of advanced diffusion MRI in early brain development: a comprehensive review
DiPiero, M. A., Rodrigues, P. G., Gromala, A., & Dean, D. C. I. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02605-8 · Cited by 32 · see citing works
Diffusional kurtosis imaging of the corpus callosum in autism
Sui, Y. V., Donaldson, J. B., Miles, L., Babb, J. S., Castellanos, F. X., & Lazar, M. (2018) · Molecular Autism · doi:10.1186/s13229-018-0245-1 · Cited by 30 · see citing works
Self-citationAdvanced Diffusion MR Imaging for Multiple Sclerosis in the Brain and Spinal Cord
Hori, M., Maekawa, T., Kamiya, K., Hagiwara, A., Goto, M., Takemura, M. Y., Fujita, S., Andica, C., Kamagata, K., Cohen‐Adad, J., et al. (2022) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.rev.2021-0091 · Cited by 31 · see citing works
Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord
Grussu, F., Ianuș, A., Tur, C., Prados, F., Schneider, T., Kaden, E., Sebastien Ourselin, A., Drobnjak, I., Zhang, H. G., Alexander, D. C., et al. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27463 · Cited by 28 · see citing works
Retrieving neuronal orientations using 3D scanning SAXS and comparison with diffusion MRI
Georgiadis, M., Schroeter, A., Gao, Z., Guizar‐Sicairos, M., Novikov, D. S., Fieremans, E., & Rudin, M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116214 · Cited by 28 · see citing works
Self-citationLiao, Y., Coelho, S., Chen, J., Ades‐Aron, B., Pang, M., Stepanov, V., Osorio, R. S., Shepherd, T. M., Lui, Y. W., Novikov, D. S., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00102 · Cited by 29 · see citing works
Self-citationAlotaibi, A., Tench, C. R., Stevenson, R., Felmban, G., AlTokhis, A. I., Aldhebaib, A., Dineen, R. A., & Constantinescu, C. S. (2021) · Brain Sciences · doi:10.3390/brainsci11020140 · Cited by 29 · see citing works
Guglielmetti, C., Boucneau, T., Cao, P., der Linden, A. V., Larson, P. E. Z., & Chaumeil, M. M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116415 · Cited by 27 · see citing works
Neurobiological underpinnings of rapid white matter plasticity during intensive reading instruction
Huber, E., Mezer, A., & Yeatman, J. D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118453 · Cited by 27 · see citing works
Aberrant White Matter Microstructure in Depressed Patients with Suicidality
Zhang, H., Li, H., Yin, L., Chen, Z., Wu, B., Huang, X., Jia, Z., & Gong, Q. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27927 · Cited by 25 · see citing works
Greater Diffusion Restriction in White Matter in Preclinical Alzheimer Disease
Benitez, A. M., Jensen, J. H., Thorn, K. E., Dhiman, S., Fountain‐Zaragoza, S., Rieter, W. J., Spampinato, M. V., Hamlett, E. D., Nietert, P. J., Falangola, M. F., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26353 · Cited by 27 · see citing works
Gazdzinski, L. M., Mellerup, M., Wang, T., Adel, S. A. A., Lerch, J. P., Sled, J. G., Nieman, B. J., & Wheeler, A. L. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2020.6992 · Cited by 25 · see citing works
Schiavi, S., Lu, P., Weigel, M., Lutti, A., Jones, D. K., Kappos, L., Granziera, C., & Daducci, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118922 · Cited by 24 · see citing works
Experimental studies of g-ratio MRI in ex vivo mouse brain
West, K. L., Kelm, N. D., Carson, R. P., Alexander, D. C., Gochberg, D. F., & Does, M. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.064 · Cited by 23 · see citing works
Zhou, Z., Tong, Q., Zhang, L., Ding, Q., Lu, H. J., Jonkman, L. E., Yao, J., He, H., Zhu, K., & Zhong, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117313 · Cited by 28 · see citing works
Tristão‐Pereira, C., Diao, Y., Yin, T., da Silva, A. R., Lanz, B., Pierzchała, K., Poitry‐Yamate, C., & Jelescu, I. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117498 · Cited by 24 · see citing works
Self-citationSalas-Lucia, F., Pacheco‐Torres, J., González-Granero, S., Canals, S., Obregón, M.-J., García‐Verdugo, J. M., & Berbel, P. J. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00031 · Cited by 24 · see citing works
Myelination- and immune-mediated MR-based brain network correlates
Cerina, M., Muthuraman, M., Gallus, M., Koirala, N., Dik, A., Wachsmuth, L., Hundehege, P., Schiffler, P., Tenberge, J., Fleischer, V., et al. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-01827-z · Cited by 24 · see citing works
Petiet, A., Aigrot, M., & Stankoff, B. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00491 · Cited by 22 · see citing works
Kamiya, K., Okada, N., Sawada, K., Watanabe, Y., Irie, R., Hanaoka, S., Suzuki, Y., Koike, S., Mori, H., Kunimatsu, A., et al. (2018) · NMR in Biomedicine · doi:10.1002/nbm.3938 · Cited by 22 · see citing works
Ding, S., Guo, Y., Chen, X., Du, S., Han, Y., Yan, Z., Zhu, Q., & Li, Y. (2021) · Scientific Reports · doi:10.1038/s41598-021-90597-6 · Cited by 20 · see citing works
Chung, S., Chen, J., Li, T., Wang, Y., & Lui, Y. W. (2022) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7522 · Cited by 20 · see citing works
Multicompartmental models and diffusion abnormalities in paediatric mild traumatic brain injury
Mayer, A. R., Ling, J. M., Dodd, A. B., Stephenson, D. D., Reddy, S. P., Robertson‐Benta, C. R., Erhardt, E. B., Harms, R., Meier, T. B., Vakhtin, A. A., et al. (2022) · Brain · doi:10.1093/brain/awac221 · Cited by 19 · see citing works
Coronado‐Leija, R., Abdollahzadeh, A., Lee, H., Coelho, S., Ades‐Aron, B., Liao, Y., Salo, R. A., Tohka, J., Sierra, A., Novikov, D. S., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00212 · Cited by 19 · see citing works
Self-citationDiffusion MR Imaging in Mild Traumatic Brain Injury
Borja, M. J., Chung, S., & Lui, Y. W. (2017) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2017.09.009 · Cited by 19 · see citing works
Coelho, S., Pozo, J., Costantini, M., Highley, R., Mozumder, M., Simpson, J., Ince, P., & Frangi, A. F. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.040 · Cited by 23 · see citing works
Hill, I., Palombo, M., Santin, M. D., Branzoli, F., Philippe, A.-C., Wassermann, D., Aigrot, M., Stankoff, B., Evercooren, A. B., Felfli, M., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117425 · Cited by 20 · see citing works
Evaluating kurtosis‐based diffusion MRI tissue models for white matter with fiber ball imaging
Jensen, J. H., McKinnon, E. T., Glenn, G. R., & Helpern, J. A. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3689 · Cited by 18 · see citing works
Sensitivity and specificity of diffusion MRI to neuroinflammatory processes
Jelescu, I., & Fieremans, E. (2023) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-323-91771-1.00010-1 · Cited by 18 · see citing works
Self-citationMapping the individual human cortex using multidimensional MRI and unsupervised learning
Kundu, S., Barsoum, S., Ariza, J., Nolan, A., Latimer, C. S., Keene, C. D., Basser, P. J., & Benjamini, D. (2023) · Brain Communications · doi:10.1093/braincomms/fcad258 · Cited by 18 · see citing works
Salas-Lucia, F., Pacheco‐Torres, J., González-Granero, S., García‐Verdugo, J. M., & Berbel, P. J. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.00033 · Cited by 20 · see citing works
Klistorner, A. I., & Graham, S. L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.725187 · Cited by 16 · see citing works
Remyelination Trials: Are We Expecting the Unexpected?
Klistorner, A. I., & Barnett, M. H. (2021) · PubMed Central · doi:10.1212/nxi.0000000000001066 · Cited by 8 · see citing works
Ultrahigh field imaging of myelin disease models: Toward specific markers of myelin integrity?
Petiet, A., Adanyeguh, I. M., Aigrot, M., Poirion, É., Nait‐Oumesmar, B., Santin, M. D., & Stankoff, B. (2018) · The Journal of Comparative Neurology · doi:10.1002/cne.24598 · Cited by 16 · see citing works
Reveley, C., Ye, F. Q., & Leopold, D. A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00368 · Cited by 14 · see citing works
Schilling, K. G., Grussu, F., Ianuș, A., Hansen, B., Howard, A. F. D., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F. A., Syeda, W. T., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30435 · Cited by 26 · see citing works
Self-citationDrobyshevsky, A., Synowiec, S., Goussakov, I. V., Lu, J. N., Gascoigne, D. A., Aksenov, D. P., & Yarnykh, V. L. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119974 · Cited by 13 · see citing works
Nair, A. K., Adluru, N., Finley, A. J., Gresham, L. K., Skinner, S. E., Alexander, A. L., Davidson, R. J., Ryff, C. D., & Schaefer, S. M. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1355998 · Cited by 14 · see citing works
Coelho, S., Liao, Y., Szczepankiewicz, F., Veraart, J., Chung, S., Lui, Y. W., Novikov, D. S., & Fieremans, E. (2024) · Human Brain Mapping · doi:10.1002/hbm.26725 · Cited by 14 · see citing works
Self-citationIn vivo tensor-valued diffusion MRI of focal demyelination in white and deep grey matter of rodents
He, Y., Aznar, S., Siebner, H. R., & Dyrby, T. B. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102675 · Cited by 13 · see citing works
- 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 › Pathology and Forensic Medicine › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
