Threshold additional set of matrices
Create a list of brainGraph graphs
Permutation test for group difference of graph measures
Atlas helper functions
Set graph, vertex, and edge attributes common in MRI analyses
Difference in the area-under-the-curve of two vectors
brainGraph generic methods
Default options for brainGraph
Bootstrapping for global graph measures
Network-based statistic for brain MRI data
Calculate communicability
Calculate a vertex's leverage centrality
Check for vertex or edge attributes
Create a data table with graph global and vertex measures
Calculate the p-value for differences in correlation coefficients
Calculate communicability betweenness centrality
Fit General Linear Models at each vertex of a graph
Create a graph list with GLM-specific attributes
Coordinates for data from brain atlases
Model selection for bg_GLM objects
Calculate graph global, local, or nodal efficiency
Calculate correlation matrix and threshold
Fit design matrices to one or multiple outcomes
Create a design matrix for linear model analysis
Convenience function to get attributes for lists of random graphs
Plot a graph with results from GLM-based analyses
Calculate vertex hubness
Mediation analysis with brain graph measures as mediator variables
Import data for structural connectivity analysis
Delete all attributes of a graph
Multi-threshold permutation correction
Create a brainGraph object
Calculate the AUC across densities of given attributes
Helper functions to set-up for GLM analyses
Calculate coefficient of variation
Select edges for re-wiring
Plot normalized rich club coefficients against degree threshold
Return a vector of filenames based on a directory name or options list
Calculate an asymmetry index based on edge counts
Contract graph vertices based on brain lobe and hemisphere
Influence measures for a bg_GLM object
Plot a brainGraphList and write to PDF
Save PNG of one or three views for all graphs in a brainGraphList
Calculate weighted shortest path lengths
Extract model fit statistics from a bg_GLM object
Matrix/array utility functions
GUI for plotting graphs overlaid on an MNI152 image or in a circle
Write files to be used for visualization with BrainNet Viewer
Extract basic information from a bg_GLM object
Plot global graph measures across densities
Test if an object is a character vector of numbers
Count number of edges of a brain graph
Assign graph attributes based on rich-club analysis
Analysis of network robustness
Plot a brain graph with a specific spatial layout
Calculate the s-core of a network
Color graph vertices and edges
Approaches to estimate individual network contribution
Plot group distributions of volumetric measures for a given brain region
Calculate the inverse of the cross product of a design matrix
Perform an analysis with random graphs for brain MRI data
Linear model residuals in structural covariance networks
Rich club calculations
Plot vertex-level graph measures at a single density or threshold
Create connection matrices for tractography or fMRI data
GLM non-parametric permutation testing
Utility functions
Gateway coefficient, participation coefficient, and within-mod degree z-score
make_intersection_brainGraph
Create the intersection of graphs based on a logical condition
Create a graph of the union of multiple vertex neighborhoods
Calculate graph small-worldness
Update column names in a Freesurfer table
Subset graphs based on a given logical condition
Rename the levels of global metrics in a data.table
Calculate Euclidean distance of edges and vertices
Variance inflation factors for bg_GLM objects
Calculate graph vulnerability