The Brain Connectivity Toolbox (brain-connectivity-toolbox.net) is a MATLAB toolbox for complex-network analysis of structural and functional brain-connectivity data sets.
Complex network measures of brain connectivity: Uses and interpretations. Rubinov M, Sporns O (2010) NeuroImage 52:1059-69.
Author: Franco Pestilli The University of Texas at Austin
This version of the Brain Connectivity Toolbox is meant to help people add the BCT git submodule to their git project
The Brain Connectivity Toolbox codebase is widely used by brain-imaging researchers, and has been ported to, included in, or modified in, the following projects:
bctpy: Brain Connectivity Toolbox for Python. bct-cpp: Brain Connectivity Toolbox in C++. Human Connectome Project: An NIH consortium for mapping brain white-matter pathways. Virtual Brain Project: A consortium for simulation of primate brain-network dynamics. FieldTrip: Advanced analysis toolbox of MEG, EEG, and invasive electrophysiological data. CONN: Cross-platform software for the computation, display, and analysis of fcMRI data. GraphVar: A user-friendly GUI-based toolbox for graph-analyses of brain connectivity. Network Based Statistic Toolbox: A toolbox for testing hypotheses about the connectome. Neuroimaging Analysis Kit: A library of modules and pipelines for fMRI processing. Graph Theory GLM Toolbox: A GLM toolbox of brain-network graph-analysis properties. Brainnetome Toolkit: A MATLAB GUI toolkit of complex network measures. BioNeCT: A cohesive platform for analyzing brain network connectivity in EEG recordings. GRETNA: A toolbox for comprehensive analyses of topology of the brain connectome. MIBCA: Automated all-in-one connectivity toolbox with batch processing. GAT/bnets: Graph Analysis Toolbox of functional and structural brain networks. BASCO: Inter-regional functional connectivity analysis in event-related fMRI data. MNET: A fully automated all-in-one network analysis toolbox for fMRI and DTI. EEGNET: A toolbox for analyzing and visualizing M/EEG connectivity. BRAPH: Brain analysis using graph theory. FastFC: Efficient computation of functional brain networks.