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<t>BrainNet</t> Viewer is free software available on the NITRC website ( www.nitrc.org/projects/bnv/ ), which runs with MATLAB under Windows, Linux and Mac OS, with either 32- or 64-bit systems. The latest version is 1.41, released September 18, 2012. The main window includes the menu bar, toolbar and contact information.
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<t>BrainNet</t> Viewer is free software available on the NITRC website ( www.nitrc.org/projects/bnv/ ), which runs with MATLAB under Windows, Linux and Mac OS, with either 32- or 64-bit systems. The latest version is 1.41, released September 18, 2012. The main window includes the menu bar, toolbar and contact information.
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<t>BrainNet</t> Viewer is free software available on the NITRC website ( www.nitrc.org/projects/bnv/ ), which runs with MATLAB under Windows, Linux and Mac OS, with either 32- or 64-bit systems. The latest version is 1.41, released September 18, 2012. The main window includes the menu bar, toolbar and contact information.
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<t>BrainNet</t> Viewer is free software available on the NITRC website ( www.nitrc.org/projects/bnv/ ), which runs with MATLAB under Windows, Linux and Mac OS, with either 32- or 64-bit systems. The latest version is 1.41, released September 18, 2012. The main window includes the menu bar, toolbar and contact information.
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BrainNet Viewer is free software available on the NITRC website ( www.nitrc.org/projects/bnv/ ), which runs with MATLAB under Windows, Linux and Mac OS, with either 32- or 64-bit systems. The latest version is 1.41, released September 18, 2012. The main window includes the menu bar, toolbar and contact information.

Journal: PLoS ONE

Article Title: BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

doi: 10.1371/journal.pone.0068910

Figure Lengend Snippet: BrainNet Viewer is free software available on the NITRC website ( www.nitrc.org/projects/bnv/ ), which runs with MATLAB under Windows, Linux and Mac OS, with either 32- or 64-bit systems. The latest version is 1.41, released September 18, 2012. The main window includes the menu bar, toolbar and contact information.

Article Snippet: Here, we developed a MATLAB toolbox, called BrainNet Viewer, with a Graphical User Interface (GUI), to provide a flexible and rapid visualization platform and generate figures for brain connectome studies in a user-friendly and intuitive manner.

Techniques: Software

First, the combination of the files containing connectome information is loaded. Then, the configuration of the graph is adjusted in an easy-to-use option panel. Next, BrainNet Viewer draws the brain surface, nodes and edges in sequence. Finally, the figure is saved in a common image format for further use.

Journal: PLoS ONE

Article Title: BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

doi: 10.1371/journal.pone.0068910

Figure Lengend Snippet: First, the combination of the files containing connectome information is loaded. Then, the configuration of the graph is adjusted in an easy-to-use option panel. Next, BrainNet Viewer draws the brain surface, nodes and edges in sequence. Finally, the figure is saved in a common image format for further use.

Article Snippet: Here, we developed a MATLAB toolbox, called BrainNet Viewer, with a Graphical User Interface (GUI), to provide a flexible and rapid visualization platform and generate figures for brain connectome studies in a user-friendly and intuitive manner.

Techniques: Sequencing

The file combinations that BrainNet Viewer accepts include the following: (A) brain surface only; (B) nodes only; (C) brain surface with nodes; (D) nodes and edges; (E) brain surface with nodes and edges; (F) brain surface and volume files for volume-to-surface mapping; (G) brain surface, nodes and volume files for volume-to-surface mapping with nodes; (H) brain surface, nodes, edges and volume files for volume-to-surface mapping with nodes and edges; and (I) brain surface and volume files for regions of interest construction.

Journal: PLoS ONE

Article Title: BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

doi: 10.1371/journal.pone.0068910

Figure Lengend Snippet: The file combinations that BrainNet Viewer accepts include the following: (A) brain surface only; (B) nodes only; (C) brain surface with nodes; (D) nodes and edges; (E) brain surface with nodes and edges; (F) brain surface and volume files for volume-to-surface mapping; (G) brain surface, nodes and volume files for volume-to-surface mapping with nodes; (H) brain surface, nodes, edges and volume files for volume-to-surface mapping with nodes and edges; and (I) brain surface and volume files for regions of interest construction.

Article Snippet: Here, we developed a MATLAB toolbox, called BrainNet Viewer, with a Graphical User Interface (GUI), to provide a flexible and rapid visualization platform and generate figures for brain connectome studies in a user-friendly and intuitive manner.

Techniques:

The ‘Data Cursor’ function on the toolbar in BrainNet Viewer is used to interactively obtain information about the vertex on the brain surface. When this function is enabled, clicking anywhere on the brain surface will generate a data tip with the coordinates and values for the selected vertex and the AAL brain region and Brodmann Area where the vertex belongs. The vertex selected in this figure shows an MNI coordinate of x = −7.3, y = −55.4 and z = 25.8, with a statistic T value of 18.47. Furthermore, this vertex belongs to the left precuneus in the AAL template and the Brodmann region 23.

Journal: PLoS ONE

Article Title: BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

doi: 10.1371/journal.pone.0068910

Figure Lengend Snippet: The ‘Data Cursor’ function on the toolbar in BrainNet Viewer is used to interactively obtain information about the vertex on the brain surface. When this function is enabled, clicking anywhere on the brain surface will generate a data tip with the coordinates and values for the selected vertex and the AAL brain region and Brodmann Area where the vertex belongs. The vertex selected in this figure shows an MNI coordinate of x = −7.3, y = −55.4 and z = 25.8, with a statistic T value of 18.47. Furthermore, this vertex belongs to the left precuneus in the AAL template and the Brodmann region 23.

Article Snippet: Here, we developed a MATLAB toolbox, called BrainNet Viewer, with a Graphical User Interface (GUI), to provide a flexible and rapid visualization platform and generate figures for brain connectome studies in a user-friendly and intuitive manner.

Techniques:

Summary of neuroscience networks tools.

Journal: PLoS ONE

Article Title: BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

doi: 10.1371/journal.pone.0068910

Figure Lengend Snippet: Summary of neuroscience networks tools.

Article Snippet: Here, we developed a MATLAB toolbox, called BrainNet Viewer, with a Graphical User Interface (GUI), to provide a flexible and rapid visualization platform and generate figures for brain connectome studies in a user-friendly and intuitive manner.

Techniques: