The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain
Abstract
Several quantitative magnetic resonance (MR) measures are used to investigate multiple sclerosis (MS) in vivo. Precise quantitative investigation of the histopathological correlates of such measures has, to date, been limited. This study investigates the relationship of quantitative measures of myelin content, axonal density, and gliosis with quantitative MR measures in postmortem (PM) MS tissue. MR imaging (MRI) was performed on a 1.5T scanner and T1‐relaxation time (T1‐RT) and magnetization transfer ratio (MTR) maps were acquired in fresh PM brain of 20 MS subjects. Myelin content, axonal counts, and the extent of gliosis all were quantified using morphometric and digital imaging techniques. MRI and pathological data were in most cases coregistered using stereotactic navigation. Using multiple regression analysis, we detected significant correlations between myelin content (Tr myelin) and MTR (r = −0.84, p < 0.001) and myelin content and axonal count (−0.80, p < 0.001); MTR correlated with T1‐RT (r = −0.79, p < 0.001). No association was detected between the extent of gliosis and either MR measure. MTR was significantly higher in remyelinated than demyelinated lesions (means: 30.0 [standard deviation, 2.9] vs 23.8 [standard deviation, 4.3], p = 0.008). In conclusion, MTR is affected by myelin content in MS white matter. Ann Neurol 2004
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
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
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
Compston, A., & Coles, A. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08220-x · Cited by 1,743
Acute axonal injury in multiple sclerosis: Correlation with demyelination and inflammation
Bitsch, A. (2000) · Brain · doi:10.1093/brain/123.6.1174 · Cited by 898
A longitudinal study of abnormalities on MRI and disability from multiple sclerosis
Brex, P. A., Ciccarelli, O., O'Riordan, J. I., Sailer, M., Thompson, A. J., & Miller, D. H. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011341 · Cited by 861
Self-citationMultiple sclerosis: Remyelination of nascent lesions: Remyelination of nascent lesions
Prineas, J. W., Barnard, R. O., Kwon, E. E., Sharer, L. R., & Cho, E. ‐. (1993) · Annals of Neurology · doi:10.1002/ana.410330203 · Cited by 574
Katz, D., Taubenberger, J. K., Cannella, B., McFarlin, D. E., Raine, C. S., & McFarland, H. F. (1993) · Annals of Neurology · doi:10.1002/ana.410340507 · Cited by 387
Wayne Moore, G. R. (2003) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(02)00347-7 · Cited by 35 · cited 8×
“Random points were superimposed to lesions and surrounding NAWM.”
Influential
Cited by
Myelin and iron concentration in the human brain: a quantitative study of MRI contrast
Stüber, C., Morawski, M., Schäfer, A., Labadie, C., Wähnert, M., Leuze, C., Streicher, M., Barapatre, N., Reimann, K., Geyer, S., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.026 · Cited by 635
The development of brain white matter microstructure
Lebel, C., & Deoni, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.097 · Cited by 602
Association between pathological and MRI findings in multiple sclerosis
Filippi, M., Rocca, M. A., Barkhof, F., Brück, W., Chen, J. T., Comi, G., DeLuca, G., De Stefano, N., Erickson, B. J., Evangelou, N., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70003-0 · Cited by 486
Self-citationon behalf of the MAGNIMS study group (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.157 · Cited by 473
Assessing the effects of age on long white matter tracts using diffusion tensor tractography
Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.068 · Cited by 458
Metadata
- Authors
- Schmierer, K., Scaravilli, F., Altmann, D. R., Barker, G. J., & Miller, D. H.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2004-08-31
- Volume
- 56
- Issue
- 3
- Pages
- 407-415
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2105209479
- Cited by
- 776
- References
- 8
- FWCI
- 13.53
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. https://app.cochat.ai/papers/10.1002/ana.20202
- The paper
- Schmierer, K., Scaravilli, F., Altmann, D. R., Barker, G. J., & Miller, D. H. (2004). Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Annals of Neurology. https://doi.org/10.1002/ana.20202
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.
