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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

Recent Activity

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RE: Error using command line BrainNet_MapCfg posted by Mingrui Xia on Aug 14
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Error using command line BrainNet_MapCfg posted by Ben Conrad on Aug 10
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RE: Using ROI volume viewer to show ROI stats posted by Ben Conrad on Aug 9
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Using ROI volume viewer to show ROI stats posted by Ben Conrad on Aug 9
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open-discussion forum

Setting my own modular colors posted by Alessandro Crimi on Aug 8
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RE: Get modular nodal colormap posted by Mingrui Xia on Aug 7
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Get modular nodal colormap posted by Martin Grund on Aug 1
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RE: Get Connectivity maps above cortical surf posted by Gyan Raj Koirala on Jul 30
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RE: Get Connectivity maps above cortical surf posted by Mingrui Xia on Jul 18
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RE: Freesurfer in MNI coordinates posted by Mingrui Xia on Jul 18
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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

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Documents: 10

Forums: 384 messages in 2 forums

Mailing Lists: 1

News Items: 0

Task Manager: 0 open / 0 total

Tracker: 1 open / 2 total

Total Downloads: 18809

Activity Percentile: 96.74%

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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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