TFCE_threshold: Thresholding TFCE output

In VertexWiseR: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface

Thresholding TFCE output

Description

Threshold TFCE maps from the TFCE_vertex_analysis() output and identifies significant clusters at the desired threshold.

Usage

TFCE_threshold(TFCEoutput, p = 0.05, atlas = 1, k = 20, VWR_check = TRUE)

Arguments

TFCEoutput	An object containing the output from TFCE_vertex_analysis()
p	A numeric object specifying the p-value to threshold the results (Default is 0.05)
atlas	A numeric integer object corresponding to the atlas of interest. 1=Desikan, 2=Destrieux-148, 3=Glasser-360, 4=Schaefer-100, 5=Schaefer-200, 6=Schaefer-400. Set to 1 by default. This argument is ignored for hippocampal surfaces.
k	Cluster-forming threshold (Default is 20)
VWR_check	A boolean object specifying whether to check and validate system requirements. Default is TRUE.

Value

A list object containing the cluster level results, thresholded t-stat map, and positive, negative and bidirectional cluster maps.

Examples

model1_TFCE=readRDS(system.file('demo_data/model1_TFCE.rds', 
package = 'VertexWiseR'))

TFCEanalysis_output=TFCE_threshold(model1_TFCE, p=0.05, atlas=1,
VWR_check=FALSE)
TFCEanalysis_output$cluster_level_results

VertexWiseR documentation built on April 15, 2025, 1:18 a.m.