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BrainNet Viewer specifications

Information


Unique identifier OMICS_10611
Name BrainNet Viewer
Software type Package/Module
Interface Command line interface, Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
License GNU General Public License version 2.0
Computer skills Advanced
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Versioning


No version available

Maintainer


  • person_outline Mingrui Xia

Publication for BrainNet Viewer

BrainNet Viewer citations

 (135)
library_books

Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex

2018
Neuroimage
PMCID: 5883331
PMID: 29274746
DOI: 10.1016/j.neuroimage.2017.12.060

[…] were retained as non-zero elements in a binary adjacency matrix or, equivalently, edges between regional nodes in a graph of the structural covariance network. brain networks were visualized using brainnet viewer () (http://www.nitrc.org/projects/bnv/)., we used the whole genome expression atlas of the adult human brain created by the allen institute for brain science […]

library_books

Default Mode Network Oscillatory Coupling Is Increased Following Concussion

2018
PMCID: 5932404
PMID: 29755402
DOI: 10.3389/fneur.2018.00280

[…] across frequency bands. cognitive-behavioral correlation analyses were conducted using the matlab statistics toolbox (the mathworks, inc.). networks were visualized and figures produced using brainnet viewer ()., all clinical outcome measures were greater in the concussion group than the control group (conners, t = 2.52, p = 0.02; gad7, t = 2.44, p = 0.02; phq9, t = 3.36, p = 0.002; scat2 […]

library_books

The effects of cognitive behavioral therapy on resting‐state functional brain network in drug‐naive patients with obsessive–compulsive disorder

2018
PMCID: 5943755
PMID: 29761016
DOI: 10.1002/brb3.963

[…] structural abnormalities during visual inspection., we completed image preprocessing using data processing & analysis for (resting‐state) brain imaging (dpabi) (yan, wang, zuo, & zang, ) and brainnet viewer software (xia, wang, & yong, ). the preprocessing procedures included removing the first 10 time‐points, slice timing, head motion correction, nuisance covariates regression […]

library_books

The functional and structural characteristics of the emotion network in alexithymia

2018
PMCID: 5905825
PMID: 29695908
DOI: 10.2147/NDT.S154601

[…] based comparisons of fc of 21 rois between two groups by two-sample t-test using rest, and alphasim correction (p<0.001, alphasim correction, cluster size >20)., the result was visualized by brainnet viewer (https://www.nitrc.org/projects/bnv/)., the dti data were processed using the pipeline for analyzing brain diffusion images (panda, http://www.nitrc.org/projects/panda/) and dti […]

library_books

Anger Modulates Influence Hierarchies Within and Between Emotional Reactivity and Regulation Networks

2018
PMCID: 5897670
PMID: 29681803
DOI: 10.3389/fnbeh.2018.00060

[…] two conditions (p < 0.05 level) creating a simple graph visualization of the differences between the conditions across all subjects. the brain visualization of the graph was conducted with the brainnet viewer (xia et al., )., the depna was computed for each subject for each period (i.e., high- and low-anger) resulting in an “influencing degree” for each region (figure ). we then conducted […]

library_books

The importance of hippocampal dynamic connectivity in explaining memory function in multiple sclerosis

2018
PMCID: 5943730
PMID: 29761008
DOI: 10.1002/brb3.954

[…] hoc analysis. for each connection, the increase in effect size by adding dfc on top of stationary measures was calculated (cohen's f2), and subsequently projected on a glass brain in matlab (using brainnet viewer) (xia, wang, & he, )., in order to investigate the specificity of our findings with respect to the relevance of hippocampal dfc for learning and memory, we reran […]


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BrainNet Viewer institution(s)
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
BrainNet Viewer funding source(s)
This study was supported by the Natural Science Foundation (Grant Nos. 81030028 and 30870667), the National Science Fund for Distinguished Young Scholars (Grant No. 81225012), and Beijing Natural Science Foundation (Grant No. Z111107067311036 and 7102090).

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