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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

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

Sort by
Same author

A Virtual Reality Dataset to Support Hand Action Observation in Rehabilitation and Motor Learning Studies.

Scientific data·2026
Same author

Associations between fatigue impact and physical and neurobehavioural factors: An exploration in people with progressive multiple sclerosis.

Multiple sclerosis and related disorders·2024
Same author

Profiling cognitive-motor interference in a large sample of persons with progressive multiple sclerosis and impaired processing speed: results from the CogEx study.

Journal of neurology·2023
Same author

Fatigue in multiple sclerosis patients with different clinical phenotypes: a clinical and magnetic resonance imaging study.

European journal of neurology·2020
Same author

Structural and functional brain connectomes in patients with systemic lupus erythematosus.

European journal of neurology·2019
Same author

Fronto-temporal vulnerability to disconnection in paediatric moderate and severe traumatic brain injury.

European journal of neurology·2019
Same journal

Comment on "Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke".

Journal of the neurological sciences·2026
Same journal

Shifting from alteplase to tenecteplase in acute ischemic stroke: Progress, promise, and perils.

Journal of the neurological sciences·2026
Same journal

Time-resolved GluCEST MRI of acute glutamate-related signal changes following kainic acid administration.

Journal of the neurological sciences·2026
Same journal

Comment on "Real-world timing of early anticoagulation therapy in intracerebral hemorrhage patients with atrial fibrillation".

Journal of the neurological sciences·2026
Same journal

Sex differences in brain frailty measures and outcomes after endovascular thrombectomy: ESCAPE-NA1 analysis.

Journal of the neurological sciences·2026
Same journal

Real-world timing of early anticoagulation therapy in intracerebral hemorrhage patients with atrial fibrillation: An observational study.

Journal of the neurological sciences·2026
See all related articles

Related Experiment Video

Updated: May 11, 2026

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

Future MRI tools in multiple sclerosis.

M Filippi1, M Absinta, M A Rocca

  • 1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Hospital San Raffaele, Milan, Italy. m.filippi@hsr.it

Journal of the Neurological Sciences
|May 28, 2013
PubMed
Summary
This summary is machine-generated.

Magnetic resonance imaging (MRI) aids in diagnosing multiple sclerosis (MS). Advanced MRI techniques offer better insights into MS pathology and disability progression than conventional methods.

Keywords:
DiagnosisDisabilityFuture toolsMagnetic resonance imagingMultiple sclerosisPrognosis

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

Related Experiment Videos

Last Updated: May 11, 2026

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

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

Area of Science:

  • Neurology
  • Radiology
  • Neuroimaging

Background:

  • Magnetic resonance imaging (MRI) is crucial for diagnosing and monitoring multiple sclerosis (MS).
  • Conventional MRI has limitations in correlating findings with clinical manifestations and understanding disease mechanisms.
  • The heterogeneity of MS pathology challenges conventional MRI's specificity.

Purpose of the Study:

  • To review how MRI enhances MS diagnosis and prognosis.
  • To explore MRI's role in understanding irreversible disability accumulation in MS.
  • To highlight advancements in MRI techniques for MS assessment.

Main Methods:

  • Review of current literature on MRI in multiple sclerosis.
  • Analysis of conventional MRI techniques and their diagnostic utility.
  • Evaluation of non-conventional MRI techniques and novel biomarkers.

Main Results:

  • MRI is highly sensitive for detecting MS abnormalities and aids in diagnosis and monitoring.
  • Conventional MRI's correlation with clinical outcomes in definite MS is modest.
  • Non-conventional MRI techniques provide biomarkers more closely linked to MS pathology.

Conclusions:

  • MRI has significantly improved MS diagnosis and prediction of disease course.
  • Non-conventional MRI techniques offer potential to overcome limitations of conventional methods.
  • Advanced MRI is crucial for understanding MS pathophysiology and disability progression.