Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data

Volume: 39, Issue: 5, Pages: 1746 - 1758
Published: May 1, 2020
Abstract
Recently, a hypergraph constructed from functional magnetic resonance imaging (fMRI) was utilized to explore brain functional connectivity networks (FCNs) for the classification of neurodegenerative diseases. Each edge of a hypergraph (called hyperedge) can connect any number of brain regions-of-interest (ROIs) instead of only two ROIs, and thus characterizes high-order relations among multiple ROIs that cannot be uncovered by a simple graph in...
Paper Details
Title
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data
Published Date
May 1, 2020
Volume
39
Issue
5
Pages
1746 - 1758
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