Hyperbolic disc embedding of functional human brain connectomes using resting-state fMRI.

ABSTRACT: The brain presents a real complex network of modular, small-world, and hierarchical nature, which are features of non-Euclidean geometry. Using resting-state functional magnetic resonance imaging, we constructed a scale-free binary graph for each subject, using internodal time series correlation of regions of interest as a proximity measure. The resulting network could be embedded onto manifolds of various curvatures and dimensions. While maintaining the fidelity of embedding (low distortion, high mean average precision), functional brain networks were found to be best represented in the hyperbolic disc. Using the 𝕊¹/ℍ² model, we reduced the dimension of the network into two-dimensional hyperbolic space and were able to efficiently visualize the internodal connection

SUBMITTER: Whi W 

PROVIDER: S-EPMC9810369 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature