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

A framework for callosal fiber distribution analysis.

Dongrong Xu1, Susumu Mori, Meiyappan Solaiyappan

  • 1Center for Biomedical Image Computing, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.

Neuroimage
|November 5, 2002
PubMed
Summary

This study introduces a new framework to analyze brain neural fiber distribution, focusing on the corpus callosum. The method combines fiber tracking and spatial normalization for diffusion tensor and MRI data.

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

The genetic architecture of multimodal human brain age.

Nature communications·2024
Same author

Distance-weighted Sinkhorn loss for Alzheimer's disease classification.

iScience·2024
Same author

Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach.

Scientific reports·2024
Same author

Plasma Biomarkers as Predictors of Progression to Dementia in Individuals with Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD·2024
Same author

Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals.

JAMA psychiatry·2024
Same author

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.

ArXiv·2024

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Brain Anatomy

Background:

  • Understanding the brain's white matter architecture is crucial for neuroscience.
  • Interhemispheric connections, particularly through the corpus callosum, play a vital role in brain function.
  • Accurate analysis of neural fiber pathways remains a challenge.

Purpose of the Study:

  • To present a novel framework for the spatial analysis of neural fiber distribution in the brain.
  • To specifically investigate interhemispheric fiber bundles within the corpus callosum.
  • To provide a robust method applicable to standard neuroimaging data.

Main Methods:

  • Development of a framework integrating fiber tracking algorithms.
  • Implementation of spatial normalization techniques for anatomical standardization.

Related Experiment Videos

  • Application of the framework to diffusion tensor imaging (DTI) and standard magnetic resonance imaging (MRI) datasets.

    • Main Results:

    • The framework successfully analyzes the spatial distribution of neural fibers.
    • Detailed characterization of interhemispheric pathways through the corpus callosum was achieved.
    • The combined approach demonstrated efficacy on DTI and MRI data.

    Conclusions:

    • The proposed framework offers a powerful tool for studying brain white matter organization.
    • It enhances the understanding of structural connectivity, particularly in the corpus callosum.
    • This methodology is valuable for both research and clinical applications in neuroscience.