Elucidating functional differences between cortical gyri and sulci via sparse representation HCP grayordinate fMRI...

Area of Science:

• Neuroscience
• Functional Neuroimaging
• Computational Neuroscience

Background:

• The cerebral cortex features distinct topographic structures: gyri (convex) and sulci (concave).
• Emerging evidence suggests differential structural connectivity patterns between cortical gyri and sulci.
• Understanding functional network organization within these structures is crucial for deciphering brain complexity.

Purpose of the Study:

• To develop a data-driven framework for functional network inference using sparse representation of fMRI data.
• To investigate functional interactions within and between gyral and sulcal networks.
• To elucidate potential functional differences between gyri and sulci using graph theory.

Main Methods:

• A novel data-driven framework utilizing sparse representation of functional Magnetic Resonance Imaging (fMRI) data.
• Application of the framework to high-resolution Human Connectome Project (HCP) grayordinate fMRI data.
• Analysis of both resting-state and task-based fMRI data using graph theory metrics.

Main Results:

• Gyri exhibit greater functional integration within the cerebral cortex's organizational architecture.
• Sulci demonstrate higher functional segregation compared to gyri.
• Consistent findings across resting-state and task-based fMRI data validate the proposed framework.

Conclusions:

• Cortical gyri and sulci possess distinct functional roles in brain organization.
• The study provides novel insights into the functional specialization of gyral and sulcal regions.
• This research advances our understanding of the complex functional architecture of the cerebral cortex.