Vertex-Frequency Analysis of Brain Networks: Unveiling the Connection Between Structure-Function Coupling and Cognitive Ability
Recommended Citation
Bashirgonbadi A, Salehi MR, and Soltanian-Zadeh H. Vertex-Frequency Analysis of Brain Networks: Unveiling the Connection Between Structure-Function Coupling and Cognitive Ability. IEEE Trans Signal Inf Process Netw 2025;11:1582-1591.
Document Type
Article
Publication Date
12-8-2025
Publication Title
IEEE Trans Signal Inf Process Netw
Keywords
Not assigned.
Abstract
This study presents a novel vertex-frequency framework to quantify structure–function coupling across brain networks and explore its relationship with cognitive ability. Using vertex-frequency energy distribution applied to Blood Oxygenation Level Dependent (BOLD) signal mapped onto the structural brain graph, we assessed coupling across 360 regions defined by the Glasser atlas. The analysis revealed region-specific coupling patterns, particularly within the Default Mode Network (DMN) and Dorsal Attention Network (DAN) that significantly correlate with general cognitive ability (g-factor). Validation on two independent resting-state functional Magnetic Resonance Imaging (rs-fMRI) sessions from the Human Connectome Project demonstrated high reproducibility (r ≈ 0.98), demonstrating the consistency of the proposed method. In contrast to conventional Graph Fourier Transform (GFT)-based approaches, which showed sensitivity to frequency cutoff parameters, our method yielded consistent coupling estimates without requiring parameter tuning. These findings suggest that vertex-frequency analysis is useful for capturing localized structure–function interactions and their cognitive relevance.
PubMed ID
Not assigned.
Volume
11
First Page
1582
Last Page
1591
