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    1. Mingrui Xia

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    1. Chao-Gan YAN

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BrainNet Viewer

Information_20131227
BrainNet Viewer is a brain network visualization tool, which can help researchers to visualize structural and functional connectivity patterns from different levels in a quick, easy, and flexible way.
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Specifications

Category:Visualization
License:GNU General Public License (GPL)
Development Status:5 - Production/Stable/Mature
Domain:MR
Environment:Win32 (MS Windows)
Intended Audience:End Users
Natural Language:English
Operating System:MacOS, Windows, Linux
Programming Language:MATLAB

Associations

works well with:
GRETNA
Graph Theory GLM (GTG) MATLAB Toolbox
MRIcroS
GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity
BetA-Series COrrelation
Surf Ice
Task-based fMRI atlases

Recent Activity

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RE: BrainNet_MacCfg error but manual OK posted by Mingrui Xia on Sep 26
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BrainNet_MacCfg error but manual OK posted by Sean Ma on Sep 26
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RE: Desikan-Killiany atlas on surface posted by Mingrui Xia on Sep 13
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RE: Change nodes colormap to custom colormap posted by Mingrui Xia on Sep 13
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RE: Change nodes colormap to custom colormap posted by Steve Da on Sep 6
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Change nodes colormap to custom colormap posted by Ezequiel Mikulan on Sep 6
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RE: posted by Abhijit Srikanth on Sep 4
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Desikan-Killiany atlas on surface posted by Louise Johansen on Sep 4
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RE: posted by Mingrui Xia on Sep 3
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Export into 3D object (fbx, obj, 3ds, dae) posted by Abhijit Srikanth on Aug 30
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Reviews & Ratings

User Reviews (2)

OVERALL:4.5 out of 5
INSTALLATION:4 out of 5
DOCUMENTATION:4 out of 5

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Home Page

NeuroLex ID: nlx_155589

RRID: SCR_009446

Documents: 10

Forums: 398 messages in 2 forums

Mailing Lists: 1

News Items: 0

Task Manager: 0 open / 0 total

Tracker: 1 open / 2 total

Total Downloads: 19683

Activity Percentile: 90.27%

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Registered: Jul 7, 2011

Organization: Beijing Normal University

Center: State Key Laboratory of Cognitive Neuroscience and Learning

This work was supported by:
the Natural Science Foundation (Grant Nos. 81030028, 30870667, 81401479 and 81671767), the National Science Fund for Distinguished Young Scholars (Grant No. 81225012, YH), and Beijing Natural Science Foundation (Grant No. Z111107067311036 and 7102090).

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