dCor: Distance Correlation for ROI Time Series

In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

Description

Computes the distance correlation (Yoo et al., 2019) for ROI time series data. This function is mainly a subroutine for the dCor.parallel function

Usage

dCor(neurallist, centering = c("U", "double"))

Arguments

neurallist	List. A time series list from convertConnBrainMat function
centering	Character. Options for centering the Euclidean distances. "U" Uses number of time points minus 2 in the computation of the mean "double" Uses the mean

Value

Returns a m x m matrix corresponding to distance correlations between ROIs

Author(s)

Alexander Christensen <[e-mail]>

References

Yoo, K., Rosenberg, M. D., Noble, S., Scheinost, D., Constable, R. T., & Chun, M. M. (2019). Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage, 197, 212-223.

Examples

## Not run: 
# Import time series data
neurallist <- convertConnBrainMat()

# Run distance correlation
dCor(neurallist)


## End(Not run)

NetworkToolbox documentation built on May 28, 2021, 5:11 p.m.