Enhanced brain structure-function tethering in transmodal cortex revealed by high-frequency eigenmodes

Yaqian Yang, Zhiming Zheng, Longzhao Liu, Hongwei Zheng, Yi Zhen, Yi Zheng, Xin Wang () and Shaoting Tang ()
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Yaqian Yang: Beihang University
Zhiming Zheng: Beihang University
Longzhao Liu: Beihang University
Hongwei Zheng: Beihang University
Yi Zhen: Beihang University
Yi Zheng: Beihang University
Xin Wang: Beihang University
Shaoting Tang: Beihang University

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: Abstract While the link between brain structure and function remains an ongoing challenge, the prevailing hypothesis is that the structure-function relationship may itself be gradually decoupling from unimodal to transmodal cortex. However, this hypothesis is constrained by the underlying models which may neglect requisite information. Here we relate structural and functional connectivity derived from diffusion and functional MRI through orthogonal eigenmodes governing frequency-specific diffusion patterns. We find that low-frequency eigenmodes contribute little to functional interactions in transmodal cortex, resulting in divergent structure-function relationships. Conversely, high-frequency eigenmodes predominantly support neuronal coactivation patterns in these areas, inducing structure-function convergence along a unimodal-transmodal hierarchy. High-frequency information, although weak and scattered, could enhance the structure-function tethering, especially in transmodal association cortices. Our findings suggest that the structure-function decoupling may not be an intrinsic property of brain organization, but can be narrowed through multiplexed and regionally specialized spatiotemporal propagation regimes.

Date: 2023
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DOI: 10.1038/s41467-023-42053-4

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