The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Dysmyelination Revealed through MRI as Increased Radial (but Unchanged Axial) Diffusion of Water
Abstract
Myelin loss and axonal damage are both observed in white matter injuries. Each may have significant impact on the long-term disability of patients. Currently, there does not exist a noninvasive biological marker that enables differentiation between myelin and axonal injury. We describe herein the use of magnetic resonance diffusion tensor imaging (DTI) to quantify the effect of dysmyelination on water directional diffusivities in brains of shiverer mice in vivo. The principal diffusion eigenvalues of eight axonal fiber tracts that can be identified with certainty on DTI maps were measured. The water diffusivity perpendicular to axonal fiber tracts, lambda(perpendicular), was significantly higher in shiverer mice compared with age-matched controls, reflecting the lack of myelin and the increased freedom of cross-fiber diffusion in white matter. The water diffusivity parallel to axonal fiber tracts, lambda(parallel), was not different, which is consistent with the presence of intact axons. It is clear that dysmyelination alone does not impact lambda(parallel). The presence of intact axons in the setting of incomplete myelination was confirmed by electron microscopy. Although further validation is still needed, our finding suggests that changes in lambda(perpendicular) and lambda(parallel) may potentially be used to differentiate myelin loss versus axonal injury.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Diffusion tensor imaging (DTI) successfully detects axon and myelin injury through decreased axial diffusivity (λ∥, parallel to white matter tract) and increased radial diffusivity (λ⊥, perpendicular to white matter tract) in animal models of central nervous system (CNS) diseases and injuries (Song et al., 2002, Kim et al., 2006, Sun et al., 2006, DeBoy et al., 2007).”
From Quantifying white matter tract diffusion parameters in the presence of increased extra-fiber cellularity and vasogenic edema (2014) · cites this paper as Song et al., 2002
In the citing paper
“Recent studies using animal models suggested that measures of directional diffusivity other than FA may be able to distinguish between axonal degeneration (increased axial diffusivity; normal radial diffusivity) (Song et al., 2003) and loss of myelin per se, at least in the early phase of myelin breakdown (increased radial diffusivity; normal axial diffusivity) (Song et al., 2002).”
From Diffusion tensor imaging of post mortem multiple sclerosis brain (2007) · cites this paper as Song et al., 2002
In the citing paper
“This reduction is transient, though and eventually increases relative to control subjects 56, 58.”
From Amyloid-beta induced retrograde axonal degeneration in a mouse tauopathy model (2019) · cites this paper as [58]
In the citing paper
“This was unexpected for the scalar metric RD, which is considered to be sensitive to the degree of myelination and thus was expected to provide a significant negative correlation (Song et al., 2002; Sun et al., 2006a, 2006b).”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Song et al., 2002
In the citing paper
“The association of RD to myelination has been previously studied in some of these same WM structures, such as the corpus collosum and anterior commissure (Song et al., 2002), however, many other WM structures analyzed here have not been examined previously.”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Song et al., 2002
Citations
Cites
Axonal transection in the lesions of multiple sclerosis
Trapp, B. D., Peterson, J., Ransohoff, R. M., Rudick, R., Mörk, S., & Bö, L. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801293380502 · Cited by 4,029
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
Basser, P. J. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080707 · Cited by 1,526
Axonal Swellings and Degeneration in Mice Lacking the Major Proteolipid of Myelin
Griffiths, I., Klugmann, M., Anderson, T., Yool, D., Thomson, C., Schwab, M. H., Schneider, A., Zimmermann, F., McCulloch, M., Nadon, N., et al. (1998) · Science · doi:10.1126/science.280.5369.1610 · Cited by 889
Neil, J. J., Shiran, S. I., McKinstry, R. C., Schefft, G. L., Snyder, A. Z., Almli, C. R., Akbudak, E., Aronovitz, J. A., Miller, J. P., Lee, B. C., et al. (1998) · Radiology · doi:10.1148/radiology.209.1.9769812 · Cited by 645
Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis
Werring, D. J., Clark, C. A., Barker, G. J., Thompson, A. J., & Miller, D. H. (1999) · Neurology · doi:10.1212/wnl.52.8.1626 · Cited by 621
Determinants of anisotropic water diffusion in nerves
Beaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310408 · Cited by 606
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
Diffusion tensor magnetic resonance imaging in multiple sclerosis
Filippi, M., Cercignani, M., Inglese, M., Horsfield, M. A., & Comi, G. (2001) · Neurology · doi:10.1212/wnl.56.3.304 · Cited by 545
Flagged first, then by citations
Cited by
Sorted by citations
Items 901–1,000 of 1,017
Xu, J., McClintock, C. H., Balodis, I. M., Miller, L. F., & Potenza, M. N. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00330 · Cited by 44
Necus, J., Sinha, N., Smith, F. E., Thelwall, P. E., Flowers, C. J., Taylor, P. N., Blamire, A. M., Cousins, D. A., & Wang, Y. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.075 · Cited by 44
Chang, C., Chang, W., Lui, C., Wang, J., Chen, C., Lee, Y.-C., Chen, S.-S., Lin, Y.-T., Huang, C., & Chen, C. (2010) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.090057 · Cited by 44
Self-citationDi̇nçer, A., Özyurt, O., Kaya, D., Koşak, E., Öztürk, C., Erzen, C., & Pamir, M. N. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2009.00461.x · Cited by 44
Brain Development in Infants Born Preterm: Looking Beyond Injury
Duerden, E. G., Taylor, M. J., & Miller, S. P. (2013) · Seminars in Pediatric Neurology · doi:10.1016/j.spen.2013.06.007 · Cited by 49
Lindberg, P. G., Feydy, A., Viet, D. L., Maier, M. A., & Drapé, J. (2013) · European Radiology · doi:10.1007/s00330-013-2986-8 · Cited by 44
Underwood, C. K., Kurniawan, N. D., Butler, T. J., Cowin, G., & Wallace, R. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.044 · Cited by 44
Structural changes after videogame practice related to a brain network associated with intelligence
Colom, R., Quiroga, M. Á., Solana, A. B., Burgaleta, M., Román, F. J., Privado, J., Escorial, S., Martínez, K., Álvarez‐Linera, J., Alfayate, E., et al. (2012) · Intelligence · doi:10.1016/j.intell.2012.05.004 · Cited by 52
Corticolimbic connectivity as a possible biomarker for bipolar disorder
Vai, B., Bollettini, I., & Benedetti, F. (2014) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2014.915744 · Cited by 44
Xiong, W. F., Qiu, S., Wang, H. Z., & Lv, X. F. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23788 · Cited by 44
Paillère-Martinot, M. L., Lemaître, H., Artiges, É., Miranda, R., Goodman, R., Penttilä, J., Struve, M., Fadai, T., Kappel, V., Poustka, L., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.44 · Cited by 44
Ambrosi, E., Chiapponi, C., Sani, G., Manfredi, G., Piras, F., Caltagirone, C., & Spalletta, G. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.09.035 · Cited by 44
Liu, F., Scantlebury, N., Tabori, U. Y., Bouffet, É., Laughlin, S., Strother, D. R., McConnell, D., Hukin, J., Fryer, C., Brière, M.-È., et al. (2014) · Neuro-Oncology · doi:10.1093/neuonc/nou306 · Cited by 46
Wen, H., Alshikho, M. J., Wang, Y., Luo, X., ZAFONTE, R. D., Herbert, M. R., & Wang, Q. M. (2016) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2016.04.010 · Cited by 45
Andrei Irimia, A., Sy, G., Torgerson, C. M., Vespa, P. M., & Horn, J. D. V. (2014) · PubMed · Cited by 42
Haakma, W., Jongbloed, B. A., Froeling, M., Goedee, H. S., Bos, C., Leemans, A., van den Berg, L. H., Hendrikse, J., & van der Pol, W. L. (2016) · European Radiology · doi:10.1007/s00330-016-4575-0 · Cited by 44
Jakabek, D., Yücel, M., Lorenzetti, V., & Solowij, N. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4398-3 · Cited by 44
White matter properties differ in 6-year old Readers and Pre-readers
Travis, K. E., Adams, J. N., Kovachy, V. N., Ben‐Shachar, M., & Feldman, H. M. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1302-1 · Cited by 47
Guan, X., Huang, P., Zeng, Q., Liu, C., Wei, H., Xuan, M., Gu, Q., Xu, X., Wang, N., Yu, X., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9842-z · Cited by 44
Depression is associated with dimensional and categorical effects on white matter pathways
Dillon, D. G., Gönenç, A., Belleau, E. L., & Pizzagalli, D. A. (2018) · Depression and Anxiety · doi:10.1002/da.22734 · Cited by 45
Blecher, T., Miron, S., Schneider, G. G., Achiron, A., & Ben‐Shachar, M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01607 · Cited by 44
CLCN2-related leukoencephalopathy: a case report and review of the literature
Guo, Z., Lü, T., Peng, L., Cheng, H., Peng, F., Li, J., Lu, Z., Chen, S., & Qiu, W. (2019) · BMC Neurology · doi:10.1186/s12883-019-1390-7 · Cited by 44
Brugulat‐Serrat, A., Salvadó, G., Operto, G., Cacciaglia, R., Sudre, C. H., Grau‐Rivera, O., Suárez‐Calvet, M., Falcón, C., Sánchez‐Benavides, G., Gramunt, N., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24877 · Cited by 45
Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging
Molloy, C. J., Nugent, S., & Bokde, A. L. W. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz289 · Cited by 45
Diffusion-Weighted Imaging and Demyelinating Diseases: New Aspects of an Old Advanced Sequence
Lopes, F. C. R., da Cruz, L. C. H., Doring, T. M., & Gasparetto, E. L. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.13.11400 · Cited by 47
Glioma invasion along white matter tracts: A dilemma for neurosurgeons
Wang, J., Liang, Y., Kang, Q., Zhou, J. Y., Chen, T.-Q., Hugnot, J., & Yu, S. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.11.020 · Cited by 43
Behler, A., Müller, H., Ludolph, A. C., & Kassubek, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24031911 · Cited by 49
Schulte, T., Müller‐Oehring, E. M., Torsten Rohlfing, B., Pfefferbaum, A., & Sullivan, E. V. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2160-10.2010 · Cited by 43
Akhlaghi, H., Yu, J., Corben, L. A., Georgiou‐Karistianis, N., Bradshaw, J. L., Storey, E., Delatycki, M. B., & Egan, G. F. (2013) · The Cerebellum · doi:10.1007/s12311-013-0525-4 · Cited by 44
Wang, X., Casadio, M., Weber, K. A., II, Mussa-Ivaldi, F. A., & Parrish, T. B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.066 · Cited by 45
Effects of low-level sarin and cyclosarin exposure on hippocampal subfields in Gulf War Veterans
Chao, L. L., Kriger, S., Buckley, S. T., Ng, P., & Mueller, S. G. (2014) · NeuroToxicology · doi:10.1016/j.neuro.2014.07.003 · Cited by 43
Mazerolle, E. L., Wojtowicz, M. A., Omisade, A., & Fisk, J. D. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.06.012 · Cited by 43
Diffusion Tensor Imaging of Peripheral Nerves
Awdeh, H., Wadhwa, V., Andreisek, G., Chhabra, A. B., & Naraghi, A. (2015) · Seminars in Musculoskeletal Radiology · doi:10.1055/s-0035-1546824 · Cited by 43
Wozniak, J. R., Mueller, B. A., Bell, C. J., Muetzel, R. L., Lim, K. O., & Day, J. (2012) · Journal of Neurology · doi:10.1007/s00415-012-6771-4 · Cited by 48
Hypomyelinating disorders: An MRI approach
Barkovich, A. J., & Deon, S. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.10.015 · Cited by 43
Widespread white matter tract aberrations in youth with familial risk for bipolar disorder
Roybal, D. J., Barnea‐Goraly, N., Kelley, R. G., Bararpour, L., Howe, M. E., Reiss, A. L., & Chang, K. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.02.007 · Cited by 43
Hobbs, N. Z., Cole, J. H., Farmer, R. E., Rees, E. M., Crawford, H. E., Malone, I. B., Roos, R. A. C., Sprengelmeyer, R., Dürr, A., Landwehrmeyer, G. B., et al. (2012) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.12.001 · Cited by 44
Dayan, M., Monohan, E., Pandya, S., Kuceyeski, A. F., Nguyen, T. D., Raj, A., & Gauthier, S. A. (2015) · Human Brain Mapping · doi:10.1002/hbm.23082 · Cited by 42
Reid, M. A., White, D. M., Kraguljac, N. V., & Lahti, A. C. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.12.003 · Cited by 44
Meier, J., Topka, M., & Hänggi, J. (2016) · Neural Plasticity · doi:10.1155/2016/6817397 · Cited by 44
Nusbaum, F., Hannoun, S., Kocevar, G., Stamile, C., Fourneret, P., Revol, O., & Sappey‐Marinier, D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00173 · Cited by 50
Judson, M. C., Burette, A. C., Thaxton, C., Pribisko, A. L., Shen, M. D., Rumple, A., Cid, W. A. D., Paniagua, B., Styner, M. A., Weinberg, R. J., et al. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0037-17.2017 · Cited by 42
Anık, İ., Yonca Akgoz, A. N. I. K., Çabuk, B., Çaklılı, M., Pirhan, D., Öztürk, O., Çırak, M., & Ceylan, S. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.01.134 · Cited by 46
Méndez-Gómez, J. L., Pelletier, A., Rougier, M., Korobelnik, J.-F., Schweitzer, C., Delyfer, M., Catheline, G., Monfermé, S., Dartigues, J., Delcourt, C., et al. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.4406 · Cited by 46
Cortico-limbic connectivity as a possible biomarker for bipolar disorder: where are we now?
Vai, B., Bertocchi, C., & Benedetti, F. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1562338 · Cited by 41
Tang, Y., Pasternak, O., Kubicki, M. R., Yogesh Rathi, A., Zhang, T., Wang, J., Li, H., Woodberry, K. A., Xu, L., Qian, Z., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18091044 · Cited by 42
Usefulness of diffusion tensor imaging findings as biomarkers for amyotrophic lateral sclerosis
Baek, S., Park, J., Kim, Y. H., Seok, H. Y., Oh, K., Kim, H.-J., Kwon, Y.-J., Sim, Y., Tae, W., Kim, S. H., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-62049-0 · Cited by 44
Wan, N., Chen, Z., Wan, L., Tang, B., & Jiang, H. F. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00749 · Cited by 44
Kim, I.-S., Kim, Y., Song, H., Lee, J.-J., Kwon, D.-H., Lee, H. J., Kim, M., Yoo, D., & Chang, Y. (2008) · NeuroToxicology · doi:10.1016/j.neuro.2008.12.002 · Cited by 43
Qin, Y.-Y., Li, M.-W., Zhang, S., Zhang, Y., Zhao, L.-Y., Lei, H., Oishi, K., & Zhu, W.-Z. (2013) · Neuroradiology · doi:10.1007/s00234-013-1195-0 · Cited by 42
Diffusion MRI quantifies early axonal loss in the presence of nerve swelling
Lin, T.-H., Chiang, C.-W., Perez-Torres, C. J., Sun, P., Wallendorf, M., Schmidt, R. E., Cross, A. H., & Song, S.-K. (2017) · Journal of Neuroinflammation · doi:10.1186/s12974-017-0852-3 · Cited by 42
Self-citationKarlsgodt, K. H., John, M., Ikuta, T., Rigoard, P., Peters, B. D., DeRosse, P., Malhotra, A. K., & Szeszko, P. R. (2015) · Human Brain Mapping · doi:10.1002/hbm.22989 · Cited by 42
Lenfeldt, N., Larsson, A., Nyberg, L. H., Birgander, R., Eklund, A., & Malm, J. (2011) · Neurosurgery · doi:10.1227/neu.0b013e31820f3401 · Cited by 42
Zhang, J., Yin, X., Zhao, L., Evans, A. C., Song, L., Xie, B., Li, H., Luo, C., & Wang, J. (2014) · Journal of Neurology · doi:10.1007/s00415-013-7215-5 · Cited by 44
Alterations in frontostriatal pathways in children born very preterm
Duerden, E. G., Card, D., Lax, I. D., Donner, E. J., & Taylor, M. J. (2013) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12198 · Cited by 42
The Corticospinal Tract in Huntington's Disease
Phillips, O. R., Squitieri, F., Sánchez‐Castañeda, C., Elifani, F., Griguoli, A. M., Maglione, V., Caltagirone, C., Sabatini, U., & Paola, M. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu065 · Cited by 41
White Matter Diffusion of Major Fiber Tracts Implicated in Autism Spectrum Disorder
Libero, L. E., Burge, W. K., Deshpande, H., Pestilli, F., & Kana, R. K. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0442 · Cited by 43
Boets, B., Eylen, L. V., Sitek, K. R., Moors, P., Noens, I. L. J., Steyaert, J. G., Sunaert, S. G., & Wagemans, J. P. (2018) · Molecular Autism · doi:10.1186/s13229-018-0188-6 · Cited by 45
Tohyama, S., Hung, P. S.-P., zhong, J., & Hodaie, M. (2018) · Journal of neurosurgery · doi:10.3171/2018.3.jns172936 · Cited by 42
Blackmore, D. G., Turpin, F. R., Mohamed, A. Z., Zong, F., Pandit, R., Pelekanos, M., Nasrallah, F. A., Sah, P., Bartlett, P. F., & Götz, J. (2018) · Theranostics · doi:10.7150/thno.27941 · Cited by 43
Tohyama, S., Hung, P. S.-P., Cheng, J. C., Zhang, J. Y., Halawani, A., Mikulis, D. J., Oh, J., & Hodaie, M. (2019) · Pain · doi:10.1097/j.pain.0000000000001777 · Cited by 44
White matter microstructure in youth with and at risk for bipolar disorder
Linke, J. O., Stavish, C. M., Adleman, N. E., Sarlls, J. E., Towbin, K. E., Leibenluft, E., & Brotman, M. A. (2019) · Bipolar Disorders · doi:10.1111/bdi.12885 · Cited by 43
MR Image Changes of Normal-Appearing Brain Tissue after Radiotherapy
Witzmann, K., Raschke, F., & Troost, E. G. C. (2021) · Cancers · doi:10.3390/cancers13071573 · Cited by 42
Roberts, E., Anderson, E. J., & Husain, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4879-10.2010 · Cited by 43
In vivo diffusion tensor imaging (DTI) of brain subdivisions and vocal pathways in songbirds
Groof, G. D., Verhoye, M., Meir, V. V., Tindemans, I., Leemans, A., & der Linden, A. V. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.022 · Cited by 40
Willette, A. A., Coe, C. L., Colman, R. J., Bendlin, B. B., Kastman, E. K., Field, A. S., Alexander, A. L., Allison, D. B., Weindruch, R. H., & Johnson, S. C. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.10.006 · Cited by 41
Operto, G., Molinuevo, J. L., Cacciaglia, R., Falcon, C., Brugulat-Serrat, A., Suárez-Calvet, M., Grau-Rivera, O., Bargalló, N., Morán, S., Esteller, M., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101983 · Cited by 40
Voxel-based diffusion tensor imaging of an APP/PS1 mouse model of Alzheimer’s disease.
Shu, X., Qin, Y.-Y., Zhang, S., Jiang, J.-J., Zhang, Y., Zhao, L.-Y., Shan, D., & Zhu, W.-Z. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8418-6 · Cited by 41
Plasticity of white matter connectivity in phonetics experts
Vandermosten, M., Price, C. J., & Golestani, N. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1114-8 · Cited by 42
Belke, M., Heverhagen, J. T., Keil, B. R., Rosenow, F., Oertel, W. H., Stiasny‐Kolster, K., Knake, S., & Menzler, K. (2015) · Brain and Behavior · doi:10.1002/brb3.327 · Cited by 41
Skiöld, B., Wu, Q.-Z., Hooper, S., Davis, P., McIntyre, R., Tolcos, M., Pearson, J., Vreys, R., Egan, G., Barton, S. K., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095804 · Cited by 37
Wang, Y., Horst, K. K., Kronenberger, W. G., Hummer, T. A., Mosier, K. M., Kalnin, A., Dunn, D. W., & Mathews, V. P. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2012.01.005 · Cited by 41
Mills, B. D., Lai, J., Brown, T. T., Erhart, M. J., Halgren, E., Reilly, J. S., Dale, A. M., Appelbaum, M. I., & Moses, P. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.06.012 · Cited by 40
Neuner, I., Kupriyanova, Y., Stöcker, T., Huang, R., Posnansky, O. P., Schneider, F. W., & Shah, N. J. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.09.066 · Cited by 42
Diffusion properties of NAA in human corpus callosum as studied with diffusion tensor spectroscopy
Upadhyay, J., Hallock, K., Erb, K., Kim, D., & Ronen, I. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21372 · Cited by 43
Roberts, T. P. L., Heiken, K., Zarnow, D. M., Dell, J., Nagae, L. M., Blaskey, L. G., Solot, C. B., Levy, S. E., Berman, J., & Edgar, J. C. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3754 · Cited by 45
Diffusion Tensor Imaging, Structural Connectivity, and Schizophrenia
Whitford, T. J., Kubicki, M. R., & Shenton, M. E. (2011) · Schizophrenia Research and Treatment · doi:10.1155/2011/709523 · Cited by 47
Early Cerebellar Network Shifting in Spinocerebellar Ataxia Type 6
Falcon, M. I., Gomez, C. M., Chen, E. E., Shereen, A. D., & Solodkin, A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv154 · Cited by 41
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
Corticoefferent pathways in pure lower motor neuron disease: a diffusion tensor imaging study
Rosenbohm, A., Müller, H., Hübers, A., Ludolph, A. C., & Kassubek, J. (2016) · Journal of Neurology · doi:10.1007/s00415-016-8281-2 · Cited by 41
Cabada, T., Iridoy, M., Jericó, I., Lecumberri, P., Seijas, R., Gargallo, A. C., & Gómez, M. (2017) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acx008 · Cited by 43
Georgiopoulos, C., Warntjes, M. J. B., Dizdar, N., Zachrisson, H., Engström, M., Haller, S., & Larsson, E. (2017) · Journal of Parkinson s Disease · doi:10.3233/jpd-161060 · Cited by 41
Neuronal and vascular deficits following chronic adaptation to high altitude
Cramer, N., Korotcov, A. V., Bosomtwi, A., Xu, X., Holman, D., Whiting, K., Jones, S., Hoy, A. R., Dardzinski, B. J., & Galdzicki, Z. (2018) · Experimental Neurology · doi:10.1016/j.expneurol.2018.10.007 · Cited by 42
White matter tractography in early psychosis: clinical and neurocognitive associations
Hatton, S. N., Lagopoulos, J., Hermens, D. F., Hickie, I. B., Scott, E. M., & Bennett, M. R. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130280 · Cited by 41
Seasonal rewiring of the songbird brain: an in vivo MRI study
Groof, G. D., Verhoye, M., Meir, V. V., Balthazart, J., & der Linden, A. V. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06545.x · Cited by 40
Jeong, H.-J., Shim, S., Cho, H. J., Cho, S. J., Son, D. W., & Park, E. A. (2016) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2016.05.010 · Cited by 41
Dubois, J., Adibpour, P., Poupon, C., Hertz-Pannier, L., & Dehaene-Lambertz, G. (2016) · Brain Plasticity · doi:10.3233/bpl-160031 · Cited by 40
Cavedo, E., Lista, S., Rojkova, K., Chiesa, P. A., Houot, M., Brueggen, K., Blautzik, J., Bokde, A. L. W., Dubois, B., Barkhof, F., et al. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.048 · Cited by 40
Lyczek, A., Arnold, A., Zhang, J., Campanelli, J. T., Janowski, M., Bulte, J. W. M., & Walczak, P. (2017) · Experimental Neurology · doi:10.1016/j.expneurol.2017.02.005 · Cited by 40
White matter connectivity and Internet gaming disorder
Jeong, B., Han, D. H., Kim, S. M., Lee, S. W., & Renshaw, P. F. (2015) · Addiction Biology · doi:10.1111/adb.12246 · Cited by 40
Corcoba, A., Steullet, P., Duarte, J. M. N., van de Looij, Y., Monin, A., Cuénod, M., Rolf Gruetter, A., & Kim, Q. (2015) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyv110 · Cited by 40
Effects of low-level sarin and cyclosarin exposure on white matter integrity in Gulf War Veterans
Chao, L. L., Zhang, Y., & Buckley, S. T. (2015) · NeuroToxicology · doi:10.1016/j.neuro.2015.04.005 · Cited by 40
Qin, J., Wei, M., Liu, H., Chen, J., Yan, R., Yao, Z., & Lü, Q. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.03.059 · Cited by 40
Chiapponi, C., Piras, F., Piras, F., Fagioli, S., Caltagirone, C., & Spalletta, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075115 · Cited by 40
Jito, J., Nakasu, S., Ito, R., Fukami, T., Morikawa, S., & Inubushi, T. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21496 · Cited by 40
Hikishima, K., Ando, K., Yano, R., Kawai, K., Komaki, Y., Inoue, T., Itoh, T., Yamada, M., Momoshima, S., Okano, H. J., et al. (2015) · Radiology · doi:10.1148/radiol.14140601 · Cited by 41
Li, Y., Yang, F., Nguyen, C. T., Cooper, S. R., LaHue, S. C., Venugopal, S., & Mukherjee, P. (2011) · Human Brain Mapping · doi:10.1002/hbm.21292 · Cited by 40
Neuroimaging evidence of deficient axon myelination in Wolfram syndrome
Lugar, H. M., Koller, J. M., Rutlin, J. R., Marshall, B. A., Kanekura, K., Urano, F., Bischoff, A. N., Shimony, J. S., Hershey, T. G., Austin, P. F., et al. (2016) · Scientific Reports · doi:10.1038/srep21167 · Cited by 42
Li, W., Zhu, J., Li, Q., Ye, J., Chen, J., Liu, J., Li, Z., Li, Y., Yan, X., Wang, Y., et al. (2016) · Brain and Behavior · doi:10.1002/brb3.436 · Cited by 39
Li, W., Li, Q., Wang, Y., Zhu, J., Ye, J., Yan, X., Li, Y., Chen, J., Liu, J., Li, Z., et al. (2016) · Scientific Reports · doi:10.1038/srep19662 · Cited by 40
Metadata
- Authors
- Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H.
- Affiliations
- Washington University in St. Louis (US)
- Institute of Biomedical Sciences, Academia Sinica (TW)
- Corresponding author
- Song, Sheng-Kwei
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-11
- Volume
- 17
- Issue
- 3
- Pages
- 1429-1436
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2047152236
- Cited by
- 2,582
- References
- 40
- Citations by year
- 2026: 44 · 2025: 70 · 2024: 78 · 2023: 85 · 2022: 111 · 2021: 129 · 2020: 113 · 2019: 184 · 2018: 140 · 2017: 152 · 2016: 178 · 2015: 199 · 2014: 197 · 2013: 194 · 2012: 160
- FWCI
- 11.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (R24CA083060, 1 R24 CA83060-01)
- 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
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Keywords
- dysmyelination, demyelination, axonal injury, diffusion tensor imaging, shiverer mice, white matter injury, brain MRI biomarkers
- MeSH terms
- Animals, Brain, Brain Diseases, Diagnosis, Differential, Disease Models, Animal, Heterozygote, Homozygote, Humans, Image Processing, Computer-Assisted, Mice, Neurologic Mutants, Nerve Fibers, Myelinated, Hereditary Central Nervous System Demyelinating Diseases, Diffuse Axonal Injury, Diffusion Magnetic Resonance Imaging, Mice
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
