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

Detection of fMRI activation using cortical surface mapping.

A Andrade1, F Kherif, J F Mangin

  • 1Service Hospitalier Frédéric Joliot, CEA, Orsay, France.

Human Brain Mapping
|February 13, 2001
PubMed
Summary
This summary is machine-generated.

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

CLINICAL EVIDENCE FROM A DERMATOLOGY CENTER ON THE TREATMENT OF VIRAL WARTS USING A 595 NM PULSED DYE LASER.

Georgian medical news·2025
Same author

Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy.

BMC public health·2025
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

Using the Red List of Ecosystems and the Nature-based Solutions Global Standard as an integrated process for climate change adaptation in the Andean high mountains.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2024

Cortical Surface Mapping (CSM) offers a new fMRI analysis method operating directly on the brain's cortex. This approach shows potential for higher sensitivity compared to standard volume-based methods.

Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI) data analysis
  • Computational neuroscience

Background:

  • Standard fMRI analysis (e.g., SPM) typically uses volume-based approaches.
  • Explicit cortical flattening can introduce distortions and data loss.
  • Integrating anatomical information into fMRI analysis is desirable.

Purpose of the Study:

  • To introduce Cortical Surface Mapping (CSM), a novel fMRI data analysis methodology.
  • To adapt General Linear Model (GLM) based estimation for cortical surface analysis without flattening.
  • To evaluate CSM's performance against standard volume-oriented methods.

Main Methods:

  • Developed CSM methodology for fMRI analysis directly on the cortical surface.
  • Utilized General Linear Model (GLM) principles adapted for surface data.

Related Experiment Videos

  • Tested CSM using simulations and a real fMRI dataset.
  • Compared CSM results with a standard volume-oriented approach (SPM).

    • Main Results:

    • CSM analysis demonstrated local differences in sensitivity compared to SPM.
    • CSM exhibited generally higher sensitivity in two out of three subjects studied.
    • Simulations and real data application validated the CSM methodology.

    Conclusions:

    • CSM provides a viable alternative for fMRI analysis directly on the cortical surface.
    • The methodology successfully integrates anatomical information, enhancing analysis.
    • CSM represents a step towards more anatomically informed fMRI data processing.