intersubject_similarity — intersubject

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.

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

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

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).

Examples


results=runif(7021, min = -1, max = 1)
vizChord(data=results, filename="FC_chord119.png")


if (FALSE) {
results=intersub(FC_data = dat_FC, outcome=dat_beh[,10:15],mode="diff")
}