The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Brain dysmyelination and recovery assessment by noninvasive in vivo diffusion tensor magnetic resonance imaging
Abstract
Diffusion tensor magnetic resonance imaging (DT‐MRI) was applied for in vivo quantification of myelin loss and regeneration. A transgenic mouse line (Oligo‐TTK) expressing a truncated form of the herpes simplex virus 1 thymidine kinase gene (hsv1‐tk) in oligodendrocytes was studied along with two induced phenotypes of myelin pathology. Myelin loss and axonal abnormalities differentially affect values of DT‐MRI parameters in the brain of transgenic mice. Changes in the anisotropy of the white matter were assessed by calculating and mapping the radial (D⊥) and axial (D∥) water diffusion to axonal tracts and fractional anisotropy (FA). A significant increase in D⊥ attributed to the lack of myelin was observed in all selected brain white matter tracts in dysmyelinated mice. Lower D∥ values were consistent with the histological observation of axonal modifications, including reduced axonal caliber and overexpression of neurofilaments and III β‐tubulin. We show clearly that myelination and axonal changes play a role in the degree of diffusion anisotropy, because FA was significantly decreased in dysmyelinated brain. Importantly, myelin reparation during brain postnatal development induced a decrease in the magnitude of D⊥ and an increase in FA compared with the same brain before recovery. The progressive increase in D∥ values was attributed to the gain in normal axonal morphology. This regeneration was confirmed by the detection of enlarged oligodendrocyte population, newly formed myelin sheaths around additional axons, and a gradual increase in axonal caliber. © 2006 Wiley‐Liss, Inc.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Applications of diffusion‐weighted and diffusion tensor MRI to white matter diseases – a review
Horsfield, M. A., & Jones, D. K. (2002) · NMR in Biomedicine · doi:10.1002/nbm.787 · Cited by 468
Cited by
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747
Principles of diffusion tensor imaging and its applications to basic neuroscience research
Mori, S., & Zhang, J. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.012 · Cited by 1,708
White matter development in adolescence: A DTI study
Asato, M. R., Terwilliger, R., Woo, J., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp282 · Cited by 512
Bazarian, J. J., Zhong, J., Blyth, B., Zhu, T., Kavcic, V., & Peterson, D. (2007) · Journal of Neurotrauma · doi:10.1089/neu.2007.0241 · Cited by 487
Diffusion tensor imaging in autism spectrum disorder: a review
Travers, B. G., Adluru, N., Ennis, C., Tromp, D. P. M., Destiche, D., Doran, S., Bigler, E. D., Lange, N., Lainhart, J. E., & Alexander, A. L. (2012) · Autism Research · doi:10.1002/aur.1243 · Cited by 450
Thakkar, K. N., Polli, F. E., Joseph, R. M., Tuch, D. S., Hadjikhani, N., Barton, J. J. S., & Manoach, D. S. (2008) · Brain · doi:10.1093/brain/awn099 · Cited by 367
White matter damage in frontotemporal dementia and Alzheimer's disease measured by diffusion MRI
Zhang, Y., Schuff, N., Du, A.-T., Rosen, H. J., Kramer, J. H., Gorno-Tempini, M. L., Miller, B. L., & Weiner, M. W. (2009) · Brain · doi:10.1093/brain/awp071 · Cited by 356
Magnetic Resonance Imaging of Myelin
Laule, C., Vavasour, I. M., Kolind, S. H., Li, D. K. B., Traboulsee, T. L., Moore, G. R. W., & MacKay, A. L. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.004 · Cited by 334
Bosch, B., Arenaza-Urquijo, E. M., Rami, L., Sala-Llonch, R., Junqué, C., Solé-Padullés, C., Peña-Gómez, C., Bargalló, N., Molinuevo, J. L., & Bartrés-Faz, D. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.02.004 · Cited by 272
Neural Stem Cell Engraftment and Myelination in the Human Brain
Gupta, N., Henry, R. G., Strober, J., Kang, S.-M., Lim, D. A., Bucci, M., Caverzasi, E., Gaetano, L., Mandelli, M. L., Ryan, T., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004373 · Cited by 251
Quantitative tract-based white matter development from birth to age 2 years
Geng, X., Gouttard, S., Sharma, A., Gu, H., Styner, M., Lin, W., Gerig, G., & Gilmore, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.057 · Cited by 212
Choi, S., Han, K.-M., Won, E., Yoon, B.-J., Lee, M.-S., & Ham, B.-J. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.09.042 · Cited by 111
Disability in optic neuritis correlates with diffusion tensor-derived directional diffusivities
Naismith, R. T., Xu, J., Tutlam, N. T., Snyder, A., Benzinger, T., Shimony, J., Shepherd, J., Trinkaus, K., Cross, A. H., & Song, S.-K. (2009) · Neurology · doi:10.1212/01.wnl.0000335766.22758.cd · Cited by 102
Zavaliangos-Petropulu, A., Nir, T. M., Thomopoulos, S. I., Reid, R. I., Bernstein, M. A., Borowski, B., Jack Jr., C. R., Weiner, M. W., Jahanshad, N., & Thompson, P. M. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00002 · Cited by 101
“…more coherent intact axons, while lower anisotropy and higher diffusivity may reflect factors such as axonal injury and demyelination, among other factors (Beaulieu, 2002; Song et al., 2003, 2005; Harsan et al., 2006; Le Bihan and Johansen-Berg, 2012; Kantarci et al., 2017; Moore et al., 2018).”
Falangola, 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
Bastin, M. E., Clayden, J. D., Pattie, A., Gerrish, I. F., Wardlaw, J. M., & Deary, I. J. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.013 · Cited by 92
Bendlin, B. B., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., Willette, A. A., Okonkwo, O. C., Sodhi, A., Ries, M. L., Birdsill, A. C., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037720 · Cited by 91
Adluru, N., Destiche, D. J., Lu, S. Y.-F., Doran, S. T., Birdsill, A. C., Melah, K. E., Okonkwo, O. C., Alexander, A. L., Dowling, N. M., Johnson, S. C., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.04.008 · Cited by 85
Whitford, T. J., Kubicki, M., Ghorashi, S., Schneiderman, J. S., Hawley, K. J., McCarley, R. W., Shenton, M. E., & Spencer, K. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.048 · Cited by 83
The Biological Basis of Diffusion Anisotropy
Beaulieu, C. (2014) · Diffusion MRI · doi:10.1016/b978-0-12-396460-1.00008-1 · Cited by 66
White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study
Li, X.-Y., Tang, Z.-C., Sun, Y., Tian, J., Liu, Z.-Y., & Han, Y. (2016) · Oncotarget · doi:10.18632/oncotarget.10091 · Cited by 65
Zhou, C., Sun, X., Hu, Y., Song, J., Dong, S., Kong, D., Wang, Y., Hua, X., Han, J., Zhou, Y., et al. (2019) · Aging · doi:10.18632/aging.102260 · Cited by 50
White matter changes in the perforant path area in patients with amyotrophic lateral sclerosis
Mollink, J., Hiemstra, M., Miller, K. L., Huszar, I. N., Jenkinson, M., Raaphorst, J., Wiesmann, M., Ansorge, O., Pallebage‐Gamarallage, M., & van Cappellen van Walsum, A. M. (2019) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12555 · Cited by 28
Atlas-Based Diffusion Tensor Imaging Correlates of Executive Function
Nowrangi, M. A., Okonkwo, O., Lyketsos, C., Oishi, K., Mori, S., Albert, M., & Mielke, M. M. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-141937 · Cited by 19
Metadata
- Authors
- Harsan, L. A., Poulet, P., Guignard, B., Steibel, J., Parizel, N., Loureiro de Sousa, P., Boehm, N., Grucker, D., & Ghandour, M. S.
- Venue
- Journal of Neuroscience Research
- Publisher
- Wiley
- Published
- 2006-01-05
- Volume
- 83
- Issue
- 3
- Pages
- 392-402
- ISSN
- 0360-4012 (ISSN-L)
- 1097-4547
- OpenAlex
- W1988279296
- Cited by
- 285
- References
- 6
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.