Gyri Vs. Sulci: Core-Periphery Organization In Functional Brain Networks

Abstract

The human cerebral cortex is highly convoluted into convex gyri and concave sulci. It has been demonstrated that gyri and sulci are significantly different in their anatomy, connectivity, and function: besides exhibiting opposite shape patterns, long-distance axonal fibers connected to gyri are much denser than those connected to sulci, and neural signals on gyri are more complex in low-frequency while sulci are more complex in high-frequency. Although accumulating evidence shows significant differences between gyri and sulci, their primary roles in brain function have not been elucidated yet. To solve this fundamental problem, we design a novel Twin-Transformer framework to unveil the unique functional roles of gyri and sulci and their relationship in the whole brain function. Our Twin-Transformer framework adopts two structure-identical (twin) Transformers to disentangle spatial-temporal patterns of functional brain networks: one focuses on the spatial patterns and the other is on temporal patterns. The spatial transformer takes the spatially divided patches and generates spatial patterns, while the temporal transformer takes the temporally split patches and produces temporal patterns. We validated our Twin-Transformer on the HCP task-fMRI dataset, to elucidate the different roles of gyri and sulci in brain function. Our results suggest that gyri and sulci could work together in a core-periphery network manner, that is, gyri could serve as core networks for information gathering and distributing, while sulci could serve as periphery networks for specific local information processing. These findings have shed new light on our understanding of the brain's basic structural and functional mechanisms.

Department(s)

Computer Science

Comments

National Institutes of Health, Grant R01AG075582

Keywords and Phrases

Core-Periphery; Gyri and Sulci; Twin-Transformer

International Standard Book Number (ISBN)

978-303172389-6

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Springer, All rights reserved.

Publication Date

01 Jan 2024

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