Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Potential link between Gordonibacter pamelaeae and phospholipase C gamma 1 in osteoarthritis.

AMB Express·2026
Same author

Salvianolic acid B mitigates senescence and promotes osteogenesis of senescent bone marrow mesenchymal stem cells via the PI3K/AKT pathway.

Biochemistry and biophysics reports·2026
Same author

Workload-induced changes to cell state contribute to β-cell failure in diabetes.

bioRxiv : the preprint server for biology·2026
Same author

Ammonia-induced cell death patterns in glioblastoma: Immune landscape, prognostic signature, and therapeutic target identification.

Genes & diseases·2026
Same author

Itaconic acid regulates endoplasmic reticulum stress and apoptosis via SERCA2 to alleviate ovarian dysfunction in laying hens with fatty liver hemorrhage syndrome.

The Journal of nutritional biochemistry·2026
Same author

Microstructural white matter alterations and cognitive impairment in anti-NMDAR encephalitis: evidence from T1w/T2w ratio analysis.

Frontiers in immunology·2026

Related Experiment Video

Updated: Nov 23, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.4K

Subtyping relapsing-remitting multiple sclerosis using structural MRI.

Zhizheng Zhuo1, Yongmei Li2, Yunyun Duan1

  • 1Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.

Journal of Neurology
|January 2, 2021
PubMed
Summary
This summary is machine-generated.

Structural MRI identified three subtypes of relapsing-remitting multiple sclerosis (RRMS). The DGM-plus subtype showed worse disability, cognitive impairment, and higher conversion to secondary progressive MS (SPMS).

Keywords:
Diffusion tensor imagingFractional anisotropyGray matter volumeMagnetic resonance imagingRelapsing–remitting multiple sclerosis

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K
Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

11.7K

Related Experiment Videos

Last Updated: Nov 23, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.4K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K
Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

11.7K

Area of Science:

  • Neurology
  • Radiology
  • Neuroimaging

Background:

  • Relapsing-remitting multiple sclerosis (RRMS) patient subtyping can predict disease progression and guide treatment.
  • Structural MRI offers potential for identifying distinct RRMS patient subgroups.

Purpose of the Study:

  • To subtype patients with RRMS using structural MRI data.
  • To investigate the clinical significance and prognostic value of identified MRI-based subtypes.

Main Methods:

  • Retrospective analysis of 155 RRMS patients and 210 healthy controls (HC) using 3DT1, DTI, and resting-state fMRI.
  • Calculation of z-scores for gray matter volumes and white matter fractional anisotropy relative to HC.
  • Definition of "normal", DGM, and DGM-plus subtypes based on MRI metrics; comparison of EDSS, cognitive function, fMRI measures, and SPMS conversion rates.

Main Results:

  • 49.7% of RRMS patients were "normal", 23.9% "DGM", and 21.9% "DGM-plus".
  • DGM-plus subtype exhibited higher EDSS and more severe cognitive impairment compared to "normal" and DGM types.
  • DGM-plus showed significantly higher conversion rates to SPMS (55%) versus "normal" (14%) and DGM (20%) types.

Conclusions:

  • Three distinct MRI-based subtypes of RRMS were identified.
  • These subtypes possess unique clinical and imaging characteristics.
  • The identified subtypes demonstrate differential prognoses, particularly regarding disease progression to SPMS.