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.

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