GNU General Public License (GPL) Yes Florey Institute of Neuroscience and Mental Health NITRC A novel method for extracting hierarchical functional subnetworks based on a multi-subject spectral clustering approach Group-level Network Hierarchical Clustering (GNetHiClus) is a software toolbox that can be used to extract hierarchical brain network modules at group level. The software: (1) reads connectivity matrices from a group of subjects; (2) subsamples data to obtain subgroups; (3) extracts hierarchical brain subnetworks; (4) uses bootstrap method to estimate the most reliable subnetworks. The method is described in the following paper: Xiaoyun Liang, Chun-Hung Yeh, Alan Connelly, Fernando Calamante. A novel method for extracting hierarchical functional subnetworks based on a multi-subject spectral clustering approach. Brain Connectivity, 03/2019; DOI: 10.1089/brain.2019.0668. 2019-4-24 GNetHiClus 1.0 2019-4-23 1.0 A novel method for extracting hierarchical functional subnetworks based on a multi-subject spectral clustering approach MR, GNU General Public License (GPL) http://dev.nitrcce.org/projects/gnethiclus/, http://http://www.nitrc.org/projects/gnethiclus/