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

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
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

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

Agro-morphological characterization of Pakistani maize accessions using qualitative and quantitative traits.

Brazilian journal of biology = Revista brasleira de biologia·2022
Same author

Evaluation of economic loss caused by Indian crested porcupine (Hystrix indica) in agricultural land of district Muzaffarabad, Azad Jammu and Kashmir, Pakistan.

Brazilian journal of biology = Revista brasleira de biologia·2021
Same author

A comparative study to evaluate the effects of antibiotics, plant extracts and fluoride-based toothpaste on the oral pathogens isolated from patients with gum diseases in Pakistan.

Brazilian journal of biology = Revista brasleira de biologia·2021
Same author

Ecological impacts of climate change on the snow leopard (Panthera unica) in South Asia.

Brazilian journal of biology = Revista brasleira de biologia·2021

Related Experiment Video

Updated: Jun 17, 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

Diffusion tensor imaging abnormalities in depressed multiple sclerosis patients.

A Feinstein1, P O'Connor, N Akbar

  • 1Department of Psychiatry, University of Toronto, Toronto, Canada. ant.feinstein@utoronto.ca

Multiple Sclerosis (Houndmills, Basingstoke, England)
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

Depression in multiple sclerosis patients is linked to subtle brain changes. Diffusion tensor imaging reveals abnormalities in white and grey matter, highlighting structural correlates of mood disorders.

More Related Videos

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

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Related Experiment Videos

Last Updated: Jun 17, 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

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

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Area of Science:

  • Neuroimaging
  • Neurology
  • Psychiatry

Background:

  • Depression is a frequent comorbidity in multiple sclerosis (MS).
  • Previous research has not investigated diffusion tensor imaging (DTI) indices related to mood changes in MS.
  • Understanding the neurobiological underpinnings of depression in MS is crucial for effective management.

Purpose of the Study:

  • To identify cerebral correlates of depression in multiple sclerosis patients using DTI.
  • To explore the relationship between DTI metrics and depression severity in MS.

Main Methods:

  • Sixty-two MS patients were assessed for depression using the Beck Depression Inventory (BDI-II).
  • Magnetic resonance imaging (MRI) was performed, calculating lesion volumes and DTI indices (fractional anisotropy, mean diffusivity) in normal-appearing white matter (NAWM), normal-appearing grey matter (NAGM), and lesions.
  • Comparisons were made between depressed (BDI-II >= 19) and non-depressed subjects.

Main Results:

  • Depressed MS patients showed increased hypointense lesion volume in the right medial inferior frontal region.
  • Reduced NAWM volume in the left superior frontal region was observed in depressed subjects.
  • Lower fractional anisotropy and higher mean diffusivity in the left anterior temporal NAWM and NAGM, respectively, were found in depressed individuals.
  • Higher mean diffusivity in right inferior frontal hyperintense lesions was also noted.
  • MRI variables explained 43% of the depression variance.

Conclusions:

  • DTI reveals significant structural brain abnormalities in both normal-appearing white matter and grey matter in depressed MS patients.
  • These findings underscore the importance of subtle DTI measures in understanding the pathogenesis of depression in multiple sclerosis.
  • DTI may serve as a valuable tool for identifying individuals at risk for or experiencing depression within the MS population.