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

Phenotype-specific muscle proteomic profiling in titinopathies.

Acta neuropathologica communications·2026
Same author

Long-term treatment outcomes of immune checkpoint inhibitor-related neuropathies: a French multicenter cohort study.

Scientific reports·2026
Same author

ChatGPT in the diagnosis and management of complex polyneuropathies: comparative analysis with neurologists using real-world cases.

NPJ digital medicine·2026
Same author

White and Gray Matter Multiple Sclerosis Spinal Cord Lesion Characteristics and Individualized Tissue Damage Assessment Using 7 T T1 Mapping.

Investigative radiology·2026
Same author

High risk of hypoxemic COVID-19 pneumonia in myasthenia gravis patients with type I IFN autoantibodies.

medRxiv : the preprint server for health sciences·2026
Same author

Functional Segregation of Epileptogenicity within the Human Amygdala.

Annals of neurology·2026

Related Experiment Video

Updated: Jan 5, 2026

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

29.1K

Structural Connectivity Alterations in Amyotrophic Lateral Sclerosis: A Graph Theory Based Imaging Study.

Etienne Fortanier1,2,3, Aude-Marie Grapperon1,2,3, Arnaud Le Troter1,3

  • 1Aix Marseille Univ, CNRS, CRMBM, Marseille, France.

Frontiers in Neuroscience
|October 22, 2019
PubMed
Summary

Amyotrophic lateral sclerosis (ALS) alters brain connectivity, primarily impacting motor networks. This study found reduced global efficiency and specific node degree decreases, but no hub reorganization, in ALS patients.

Keywords:
ALSDTIMRIconnectivitygraph theoryhub

More Related Videos

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

363
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.3K

Related Experiment Videos

Last Updated: Jan 5, 2026

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

29.1K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

363
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.3K

Area of Science:

  • Neuroimaging
  • Network Neuroscience
  • Neurology

Background:

  • Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with known widespread brain alterations.
  • Previous diffusion MRI studies show inconsistent results in connectomics and graph theory approaches for ALS.
  • Understanding hub-centered lesion patterns in ALS brain networks is crucial.

Purpose of the Study:

  • To characterize topological properties of structural brain connectivity in ALS.
  • To investigate local, global, and hub-based network metrics in ALS patients.
  • To identify network alterations and their relationship with disease progression.

Main Methods:

  • Acquired diffusion tensor MRI data from 25 ALS patients and 26 healthy controls.
  • Constructed structural network graphs and applied graph theory metrics.
  • Utilized network-based statistics (NBS) for group comparisons without predefined regions of interest.

Main Results:

  • ALS patients showed decreased global efficiency and a trend of reduced mean degree.
  • Specific brain regions, including the precentral and postcentral gyri, exhibited decreased mean degree.
  • An impaired motor subnetwork centered on precentral and paracentral nodes was identified (p < 0.01).
  • Frontal lobe network degree correlated with ALS disease progression rate (p < 0.01).

Conclusions:

  • Structural connectivity alterations in ALS are driven by node degree changes and white matter degeneration.
  • The primary network changes are localized around the precentral and paracentral areas.
  • No evidence of hub-centered reorganization was found in the structural networks of ALS patients.