extract.edges: extract.edges

In FCtools: Functional Connectivity Tools

extract.edges

Description

Generates edge-wise masks for calculating subject-level network strengths

Usage

extract.edges(NBS.obj, network = 1)

Arguments

NBS.obj	A list object generated from an earlier NBS() analysis
network	the network number (reported in the earlier NBS results) of the network to be masked. Set to 1 by default

Details

This function generates positive and negative masks (vectors of 1s and 0s), where 1s indicate a significant network-thresholded edge. These masks can then be used to perform a matrix multiplication with the vectorized FC matrices to object subject-level network strengths

Value

Returns a list object containing

• clust.tstat thresholded edge-wise t-statistics.Edges not belonging to this cluster will be zeroed.

• pos.edges A vector of 1s and 0s indicating the significant network-thresholded positive edges.

• neg.edges A vector of -1s and 0s indicating the significant network-thresholded negative edges.

• pos.mask A vector of 1s and 0s indicating the significant network-thresholded positive edges.

• neg.mask A vector of 1s and 0s indicating the significant network-thresholded negative edges.

Examples

demomat=get('demomat')
contrast=c(1,1,2,2)
random=c('sub1','sub2','sub3','sub4')
model1=NBS(model=contrast, contrast=contrast, FC_data=demomat, nperm=2, nthread=1, p=0.001)

edges=extract.edges(model1,network=1)

FCtools documentation built on Sept. 15, 2026, 5:09 p.m.