Cited by 76Multiple Sclerosis Research StudiesReceptor Mechanisms and SignalingNeuropeptides and Animal Physiology

The corpus callosum in the diagnosis of multiple sclerosis and other CNS demyelinating and inflammatory diseases

Garg, Nidhi, Reddel, Stephen W, Miller, David H, Chataway, Jeremy, Riminton, D Sean, Barnett, Yael, Masters, Lynette, Barnett, Michael H +1 more·2015·Journal of Neurology, Neurosurgery & Psychiatry

Abstract

Lesions in the corpus callosum (CC) are important radiological clues to the diagnosis of multiple sclerosis (MS), but may also occur in other neuroinflammatory and non-neuroinflammatory conditions. In this article, we discuss the radiological features of lesions within the CC in MS and other central nervous system inflammatory and acquired demyelinating diseases. An understanding of the appearance and location of lesions in the CC is important not only for accurate diagnosis and treatment of these various conditions, but as it also provides insights into pathogenesis.

Integrity signals

Registry

Crossref · 10.1136/jnnp-2014-309649

Cites

92 of 92 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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 addition to obtaining brain images with an axial orientation, a sagittal T2 FLAIR sequence is recommended for detecting juxtacortical and corpus callosum lesions, which can be helpful in differentiating MS from other disorders.

    “In addition to obtaining brain images with an axial orientation, a sagittal T2 fluid-attenuated inversion recovery (FLAIR) sequence is recommended for detecting juxtacortical and corpus callosum lesions, which can be helpful in differentiating MS from other disorders.12,13”

    From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [13]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Garg, N., Reddel, S. W., Miller, D. H., Chataway, J., Riminton, D. S., Barnett, Y., Masters, L., Barnett, M. H., & Hardy, T. A.
Affiliations
  • The University of Sydney (AU)
  • National Hospital for Neurology and Neurosurgery (GB)
  • St Vincent's Hospital Sydney (AU)
Corresponding author
Hardy, Todd A
Venue
Journal of Neurology, Neurosurgery & Psychiatry
Publisher
BMJ
Published
2015-04-09
Volume
86
Issue
12
Pages
jnnp-2014-309649
ISSN
  • 0022-3050 (ISSN-L)
  • 1468-330X
OpenAlex
W2111682801
Cited by
76
References
92
Citations by year
2026: 1 · 2025: 5 · 2024: 7 · 2023: 6 · 2022: 5 · 2021: 8 · 2020: 9 · 2019: 10 · 2018: 9 · 2017: 10 · 2016: 5
FWCI
6.35
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Neurology Neurosurgery & Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
National Institute for Health and Care Research (NF-SI-0508-10058)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuropeptides and Animal Physiology
Keywords
corpus callosum, multiple sclerosis, demyelinating disease, neuroinflammation, morphine, mu-opioid receptor, G protein beta subunit, proteasomal degradation, ubiquitin-proteasome system, lipid rafts, opioid use disorder, proteomics
MeSH terms
Corpus Callosum, Demyelinating Diseases, Encephalitis, Humans, Magnetic Resonance Imaging, Multiple Sclerosis

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