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 Experiment Videos

Pyramidal tract mapping by diffusion tensor magnetic resonance imaging in multiple sclerosis: improving correlations

M Wilson1, C R Tench, P S Morgan

  • 1Division of Clinical Neurology, Queens Medical Centre, Nottingham University, Nottingham, UK. doctormartin.wilson@virgin.net

Journal of Neurology, Neurosurgery, and Psychiatry
|January 18, 2003
PubMed
Summary

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

Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK.

Pilot and feasibility studies·2024
Same author

Easy to interpret coordinate based meta-analysis of neuroimaging studies: Analysis of brain coordinates (ABC).

Journal of neuroscience methods·2022
Same author

Coordinate based meta-analysis of networks in neuroimaging studies.

NeuroImage·2019
Same author

Comorbidity in multiple sclerosis: its temporal relationships with disease onset and dose effect on mortality.

European journal of neurology·2019
Same author

Epilepsy and associated mortality in patients with multiple sclerosis.

European journal of neurology·2018
Same author

Coordinate based random effect size meta-analysis of neuroimaging studies.

NeuroImage·2017

Diffusion tensor imaging (DTI) maps white matter tracts in multiple sclerosis, showing reduced integrity in patients. This DTI measure strongly correlates with disability, unlike traditional MRI methods.

Area of Science:

  • Neuroimaging
  • Neurology
  • Biomedical Engineering

Background:

  • Current MRI outcome measures, like T2 lesion load, show poor correlation with multiple sclerosis (MS) disability.
  • Diffusion Tensor Imaging (DTI) offers unique in vivo insights into white matter tract integrity and orientation.

Purpose of the Study:

  • To map pyramidal tracts in MS patients using DTI.
  • To investigate the relationship between white matter tract disease burden and patient disability.
  • To compare DTI findings with conventional MRI measures of disease burden.

Main Methods:

  • DTI scans were performed on 25 MS patients and 17 healthy volunteers.
  • An automated algorithm generated white matter tract maps.
  • Pyramidal tract integrity was assessed using relative anisotropy and a novel measure, L(t).

Related Experiment Videos

Main Results:

  • DTI measures (relative anisotropy and L(t)) were significantly lower in MS patients compared to controls.
  • Pyramidal tract L(t) showed significant correlation with disability scores (EDSS and KFS-p).
  • Traditional MRI measures (T2 lesion load, diffusion histograms) did not correlate with disability.

Conclusions:

  • DTI-based tract mapping is feasible for assessing MS.
  • This technique may enhance MRI specificity by linking specific tracts to clinical scoring systems.
  • DTI tract mapping shows potential applicability to various neurological conditions.