171 research outputs found

    Summary of neuroscience networks tools.

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    <p>Abbreviations: PANDA, Pipeline for Analyzing braiN Diffusion imAges; BCT, Brain Connectivity Toolbox; GAT, Graph-Analysis Toolbox; GRETNA, Graph-theoRETical Network Analysis toolkit; Caret, Computerized Anatomical Reconstruction and Editing Toolkit; CPT, Connectivity Pattern Tables; NA, not available.</p

    Different layouts of brain models.

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    <p>(A) The single view shows a single brain model in the figure as one of the three standard (sagittal, axial or coronal) views or a custom camera view. (B) The medium view shows the lateral and medial sides of each hemisphere in the figure. (C and D) The full view shows all sides of the brain surface. According to whether the brain surface file can be divided into two hemispheres, this mode displays brain models in two ways: (C) if not divisible, the left, right, dorsal, ventral, anterior and posterior sides are displayed separately; (D) otherwise, the lateral and medial sides of each hemisphere, and the dorsal and ventral sides and the anterior and posterior sides of the entire brain are shown.</p

    The main window of BrainNet Viewer.

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    <p>BrainNet Viewer is free software available on the NITRC website (<a href="http://www.nitrc.org/projects/bnv/" target="_blank">www.nitrc.org/projects/bnv/</a>), 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.</p

    A flowchart for visualization of BrainNet Viewer.

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    <p>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.</p

    The data tip displayed using the ‘Data Cursor’ function.

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    <p>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.</p
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