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

Investigating cortical variability using a generic gyral model.

Gabriele Lohmann1, D Yves von Cramon, Alan C F Colchester

  • 1Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|March 16, 2007
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

Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations.

Scientific data·2025
Same author

The 3D Structural Architecture of the Human Hand Area Is Nontopographic.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2023
Same author

Personalized neurorehabilitative precision medicine: from data to therapies (MWKNeuroReha) - a multi-centre prospective observational clinical trial to predict long-term outcome of patients with acute motor stroke.

BMC neurology·2022
Same author

Jumping over baselines with new methods to predict activation maps from resting-state fMRI.

Scientific reports·2021
Same author

Brainglance: Visualizing Group Level MRI Data at One Glance.

Frontiers in neuroscience·2019
Same author

The BOLD sensitivity of rapid steady-state sequences.

Magnetic resonance in medicine·2018
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

This study introduces a generic gyral model (GGM) to analyze human cortical folding variability. The GGM enables regionalized analysis of brain anatomy differences across individuals and depths.

Area of Science:

  • Neuroscience
  • Computational Anatomy
  • Medical Imaging

Background:

  • Human cortical folding exhibits significant intersubject variability.
  • Understanding this variability is crucial for neuroimaging studies and clinical applications.
  • Previous methods lacked a standardized approach for regionalized analysis of cortical folding.

Purpose of the Study:

  • To develop and validate a generic gyral model (GGM) for systematic investigation of human cortical folding variability.
  • To enable regionalized estimation of intersubject variability across the cortex.
  • To assess variability as a function of cortical depth.

Main Methods:

  • A generic gyral model (GGM) with a fixed number of vertices was created.
  • Non-linear registration was used to map the GGM to individual anatomies, defining consistent landmarks.

Related Experiment Videos

  • The GGM's depth-stratified structure allowed for depth-dependent variability analysis.

    • Main Results:

    • The GGM successfully provided a regionalized estimation of intersubject variability in cortical folding.
    • Variability was quantifiable as a function of cortical depth.
    • A novel cortical parcellation scheme was derived from the GGM's polygonal line representation.

    Conclusions:

    • The generic gyral model (GGM) offers a robust framework for studying human cortical folding variability.
    • The GGM facilitates regionalized analysis and depth-dependent assessments of brain anatomy.
    • The derived parcellation scheme aids in regionalizing cortical measurements for advanced neuroimaging analysis.