NetworkToolbox: dCor – R documentation

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dCor

Distance Correlation for ROI Time Series

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 <alexpaulchristensen@gmail.com>

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

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

v1.4.1

GPL (>= 3.0)

Authors

Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)

Initial release

2020-12-07