Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul, South Korea.
Department of Nuclear Medicine, Seoul National University and Seoul National University Hospital, Seoul, South Korea.
Sci Rep. 2022 Mar 22;12(1):4887. doi: 10.1038/s41598-022-08975-7.
Hyperbolic disc embedding and k-core percolation reveal the hierarchical structure of functional connectivity on resting-state fMRI (rsfMRI). Using 180 normal adults' rsfMRI data from the human connectome project database, we visualized inter-voxel relations by embedding voxels on the hyperbolic space using the [Formula: see text] model. We also conducted k-core percolation on 30 participants to investigate core voxels for each individual. It recursively peels the layer off, and this procedure leaves voxels embedded in the center of the hyperbolic disc. We used independent components to classify core voxels, and it revealed stereotypes of individuals such as visual network dominant, default mode network dominant, and distributed patterns. Characteristic core structures of resting-state brain connectivity of normal subjects disclosed the distributed or asymmetric contribution of voxels to the k-core, which suggests the hierarchical dominance of certain IC subnetworks characteristic of subgroups of individuals at rest.
双曲盘嵌入和 k 核渗流揭示了静息态功能磁共振成像（rsfMRI）上功能连接的层次结构。使用人类连接组计划数据库中的 180 名正常成年人的 rsfMRI 数据，我们使用[公式：见文本]模型将体素嵌入双曲空间，可视化体素之间的关系。我们还对 30 名参与者进行了 k 核渗流分析，以研究每个个体的核心体素。它递归地剥离层，这个过程将体素嵌入在双曲盘的中心。我们使用独立成分对核心体素进行分类，结果揭示了个体的刻板印象，如视觉网络主导、默认模式网络主导和分布式模式。正常受试者静息态脑连接的特征核心结构揭示了体素对 k 核的分布式或非对称贡献，这表明在休息时某些 IC 子网的层次主导作用与个体亚组的特征有关。
