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

Automatic volumetric segmentation of human visual retinotopic cortex.

Serge O Dumoulin1, Richard D Hoge, Curtis L Baker

  • 1Department of Ophthalmology, McGill University, Montréal, Québec, Canada. serge@bic.mni.mcgill.ca

Neuroimage
|April 2, 2003
PubMed
Summary

A new 3D phase-encoded retinotopic mapping technique eliminates the need for cortical surface reconstruction. This automated method simplifies visual field sign identification and region-of-interest analysis for broader human brain mapping applications.

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

Multiscale characterization of the human claustrum from histology to MRI.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

CIVET-Chimp: An automated pipeline for MRI-based cortical surface extraction in chimpanzees.

Neuroimage. Reports·2026
Same author

Organization, fine structure, and stereotaxic maps of the human Bed nucleus of the Stria terminalis.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Impaired perception of isoluminant contrast modulation stimuli: Evidence for a magnocellular pathway mechanism.

Journal of vision·2026
Same author

Comprehensive large-scale analyses reveal association between brain structure and cognitive ability during adolescence.

Communications biology·2026
Same author

Microstructural profiles of the human superficial white matter and their associations to cortical geometry and connectivity.

PLoS biology·2026

Area of Science:

  • Neuroimaging
  • Human Brain Mapping
  • Visual Neuroscience

Background:

  • Accurate identification of early human visual cortical areas is crucial for understanding visual processing.
  • Traditional phase-encoded retinotopic mapping relies heavily on precise cortical surface reconstruction, limiting accessibility.
  • Existing methods can be complex and time-consuming, posing challenges for large-scale studies.

Purpose of the Study:

  • To introduce a novel 3D phase-encoded retinotopic mapping technique that bypasses the requirement for cortical surface reconstruction.
  • To develop an automated method for visual field sign identification.
  • To facilitate broader application of cortical mapping in human neuroscience research.

Main Methods:

  • A novel 3D phase-encoded retinotopic mapping approach was developed.

Related Experiment Videos

  • The technique directly processes volumetric data, eliminating the need for surface reconstruction.
  • Automated visual field sign identification was implemented.
  • Simulations and comparisons with surface-based methods were used for validation.

    • Main Results:

    • The new technique successfully maps early visual cortical areas without cortical surface reconstruction.
    • Automated visual field sign identification proved effective.
    • The method directly provides volumetric data suitable for region-of-interest analysis.
    • Validation confirmed the accuracy and reliability of the novel approach.

    Conclusions:

    • This 3D retinotopic mapping technique offers a more accessible and efficient alternative to surface-based methods.
    • The automation of visual field sign identification simplifies the mapping process.
    • This advancement has the potential to expand the use of retinotopic mapping in clinical and research settings.