intersubject_similarity: intersubject_similarity

In FCtools: Functional Connectivity Tools

intersubject_similarity

Description

This function runs an intersubject similarity analysis to determine if there is a relationship between similarity in FC and similarity in one or multiple outcomes.

Usage

intersubject_similarity(FC_data, outcome, mode = "diff", nperm = 1000)

Arguments

FC_data	An N x E matrix containing the vectorized edges; where N = number of subjects, E=number of edges
outcome	A numerical vector (single outcome) or matrix (multiple outcomes) containing the values of the outcome(s) of interest
mode	When set to "diff", FC similarity is calculated as absolute difference between the FC vectors of a pair of subjects. When set to "corr",FC similarity is calculated as 1 - (pearson's correlation coefficient between the FC vectors of a pair of subjects). Set to "diff" by default.
nperm	number of permutations for the correlation test between FC similarity and outcome similarity

Details

This function runs an intersubject similarity analysis to determine if there is a relationship between similarity in FC and similarity in one or multiple outcomes. The outcome(s) will be z-standardized prior to calculating the intersubject similarity in the outcome(s).

Value

A list object containing

• FC_difference_matrix The FC difference matrix

• Outcome_difference_matrix The outcome difference matrix

• permutation_data The permuted correlation values

Examples

demomat=get('demomat')
results=intersubject_similarity(FC_data = demomat, outcome=c(1,1,2,2),mode="diff")

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