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A visualizer for human brain networks
pip install cvu==0.5.2
Connectome Visualization Utility version 0.5.1 Author: Roan LaPlante DESCRIPTION The Connectome Visualization Utility is a free and open source software project designed for the visualization of multi-modal, abstract brain networks. To facilitate visualization of network topology and modularity, cvu additionally interfaces with graph theory tools. The program is designed for scientists, but to run as a standalone application. COPYRIGHT INFORMATION This program strictly observes the tenets of fundamentalist Theravada Mahasi style Buddhism. Any use of this program in violation of these aforementioned tenets or in violation of the principles described in the Visuddhimagga Sutta is strictly prohibited and punishable by extensive Mahayana style practice. Note that the observation of the tenets of fundamentalist Theravada Mahasi style Buddhism and the Visuddhimagga Sutta is optional as long as the terms and conditions of the GNU GPLv3+ are upheld. DEPENDENCIES These dependencies are satisfied by installing a scientific python distribution such as Canopy or anaconda: matplotlib -- plotting library chaco -- interactive plotting library numpy -- math library mayavi -- interactive 3D visualization library These dependencies are *required* and must be manually installed into your python distribution. Typically this is as simple as typing 'pip install package' mne -- MNE python, a broad library for MNE processing that is used in CVU to manipulate surface and parcellation files. bctpy -- a graph theory library Optional dependencies: nibabel -- nibabel is a neuroimaging library that is used to locate subcortical structures. Without nibabel, subcortical structures may not appear in any parcellations. freesurfer -- freesurfer is a very powerful set of tools to do automatic segmentation and parcellation. CVU calls freesurfer commands to register tractography to the structural space. Without freesurfer, tractography cannot be visualized.
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