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

A systematic review of safety culture dimensions and measurement tools in the petrochemical industry using the PRISMA protocol.

International journal of occupational safety and ergonomics : JOSE·2026
Same author

Unraveling the Unexpected: How Pilots Can Successfully Manage Unexpected Events.

Human factors·2026
Same author

The role of ADHD in aggressive driving behavior among young adult drivers: effects of traffic aggressiveness and roadway environments.

Accident; analysis and prevention·2026
Same author

Human vigilance in the age of intelligent machines: Challenges and prospects.

Ergonomics·2026
Same author

Training for vigilance on the move using knowledge of results: The effects of feedback type on performance and subjective response.

Ergonomics·2025
Same author

Correction: How and why humans trust: A meta-analysis and elaborated model.

Frontiers in psychology·2025

Related Experiment Video

Updated: Aug 9, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.3K

Graph-Based Analysis of Brain Connectivity in Multiple Sclerosis Using Functional MRI: A Systematic Review.

Sara Hejazi1, Waldemar Karwowski1, Farzad V Farahani2

  • 1Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.

Brain Sciences
|February 25, 2023
PubMed
Summary
This summary is machine-generated.

Graph theory analysis of functional brain connectivity using fMRI shows promise for detecting and predicting multiple sclerosis (MS). This computational approach aids in understanding MS-related cognitive impairment.

Keywords:
brain connectivityfunctional magnetic resonance imaging (fMRI)graph theorymultiple sclerosis (MS)network analysisneuroimaging

More Related Videos

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.2K
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

9.1K

Related Experiment Videos

Last Updated: Aug 9, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.3K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.2K
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

9.1K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Medical Imaging

Background:

  • Multiple sclerosis (MS) is an immune-mediated disorder impacting the central nervous system's myelin.
  • MS leads to physical disabilities and cognitive impairments.
  • Functional magnetic resonance imaging (fMRI) is crucial for MS research.

Purpose of the Study:

  • To review the application of graph theory in analyzing functional brain connectivity in MS patients using fMRI.
  • To assess the utility of computational methods in MS research.

Main Methods:

  • A systematic literature search was conducted for studies published since 2000.
  • Articles employing graph theory to analyze fMRI-based functional brain connectivity in MS were included.
  • Studies primarily focused on patients with lower Expanded Disability Status Scale (EDSS) scores.

Main Results:

  • Twenty-four relevant articles were identified for the review.
  • Graph theory, particularly when combined with fMRI, has gained traction in MS research.
  • The application of graph theory in MS studies has increased in recent years.

Conclusions:

  • Graph theory offers valuable insights into functional brain connectivity in MS.
  • This computational method shows potential for MS detection and prediction.
  • Graph theory can help identify cognitive impairments associated with MS.