Human cerebral cortex: a system for the integration of volume- and surface-based representations

Area of Science:

• Neuroimaging
• Computational Neuroscience
• Human Anatomy

Background:

• Current neuroimaging analysis often separates volumetric and surface-based approaches.
• Existing segmentation schemes have limitations in integrating diverse data sources.
• Understanding cerebral cortex topography is crucial for studying brain development and organization.

Purpose of the Study:

• To present a novel MRI-based system for topological analysis of the human cerebral cortex.
• To enable interoperation between volume-based and surface-based topographic analyses.
• To extend the functionality of existing segmentation methods for broader application.

Main Methods:

• Utilizes volumetric segmentation data as the starting point for analysis.
• Integrates manual/semi-automated morphometry routines (e.g., cardviews) with FreeSurfer.
• Generates a cortical ribbon for topographic measurements (thickness, surface area, curvature).

Main Results:

• Demonstrates the system's utility in both individual and group analyses.
• Enables topographic measurements from various volumetric segmentation sources beyond FreeSurfer.
• Allows for regionally specific measurements integrated with cortical parcellation units (PUs).

Conclusions:

• The developed system enhances the analysis of cerebral cortex topography.
• It provides a unified approach for integrating different neuroimaging data types.
• The methodology aligns with current understanding of human and non-human primate brain organization.