Cited by 188Advanced Neuroimaging Techniques and ApplicationsMultiple Sclerosis Research StudiesAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy

Open access

Abstract

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.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2016.02.004

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Flagged first, then by citations

Show all 55 references

Research works printed but not linked: 3

  1. Fieremans, 2012, Diffusion distinguishes between axonal loss and demyelination in brain white matter, Proc. Intl. Soc. Magn. Reson. Med., 20
  2. Novikov, 2012, Relating extracellular diffusivity to cell size distribution and packing density as applied to white matter, Proc. Intl. Soc. Mag. Reson. Med., 20, 1829
  3. Novikov, 2015, From diffusion signal moments to neurite diffusivities, volume fraction and orientation distribution: an exact solution, Proc. Intl. Soc. Mag. Reson. Med., 23, 469

Cited by

Sorted by citations

Items 101–186 of 186

Metadata

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.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2016-05
Volume
132
Pages
104-114
ISSN
1053-8119 (ISSN-L)
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
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 › Clinical Neurology › 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