Original paper
A hypergraph learning method for brain functional connectivity network construction from fMRI data
Published: Feb 28, 2020
Abstract
Recently, functional magnetic resonance imaging (fMRI)-derived brain functional connectivity networks (FCNs) have provided insights into explaining individual variation in cognitive and behavioral traits. In these studies, how to accurately construct FCNs is always important and challenging. In this paper, we propose a hypergraph learning based method, which constructs a hypergraph similarity matrix to represent the FCN with hyperedges being...
Paper Details
Title
A hypergraph learning method for brain functional connectivity network construction from fMRI data
Published Date
Feb 28, 2020
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