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

Anatomically informed interpolation of fMRI data on the cortical surface.

C Grova1, S Makni, G Flandin

  • 1Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, EEG department, Room 009d, Quebec, Canada H3A 2B4. christophe.grova@mail.mcgill.ca

Neuroimage
|May 3, 2006
PubMed
Summary

This study introduces a novel Voronoï-based method for interpolating functional magnetic resonance imaging (fMRI) data onto the cortical surface. The new approach enhances detection sensitivity and is robust to anatomical misregistration, outperforming standard spherical interpolation.

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

Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science.

Frontiers in psychology·2026
Same author

The Neuroimaging Data Model Linear Regression Tool (nidm_linreg): PyNIDM Project.

F1000Research·2024
Same author

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts.

ArXiv·2024
Same author

Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2023
Same author

Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy.

Epilepsy & behavior : E&B·2023
Same author

Has recording of seizures become obsolete?

Revue neurologique·2023

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Image Analysis

Background:

  • Analyzing functional magnetic resonance imaging (fMRI) data on the cortical surface improves detection sensitivity and aids comparison with magneto/electro-encephalography (MEEG) data.
  • Optimal interpolation of fMRI data on the cortical surface requires balancing interpolation kernel size with anatomical specificity.

Purpose of the Study:

  • To propose and evaluate an original method for interpolating fMRI data onto the cortical surface using geodesic Voronoï diagrams.
  • To compare the performance of this Voronoï-based interpolation with standard spherical interpolation methods.

Main Methods:

  • Developed a Voronoï-based interpolation method that automatically adjusts kernel size using geodesic Voronoï diagrams around each cortical vertex.

Related Experiment Videos

  • Evaluated the method using simulated fMRI activation maps and compared it against standard spherical interpolation (r=3 or 5 mm).
  • Assessed performance based on activation map resolution, cortical mesh resolution, data misregistration, and vertex location within the gray matter.

    • Main Results:

    • The Voronoï-based interpolation method demonstrated robustness to misregistration errors when using standard fMRI data resolution.
    • Unlike standard spherical interpolation, the Voronoï-based approach was insensitive to the precise location of vertices within the gray matter ribbon.

    Conclusions:

    • The proposed Voronoï-based interpolation offers an improved method for projecting fMRI data onto the cortical surface.
    • This technique enhances anatomical constraint application and shows superior robustness, particularly in the presence of registration inaccuracies.