Correlation of correlations matrix — corr

Compute the correlation between edge time series across all timepoints, producing a [Tmax × Tmax] "correlation of correlations" matrix (Hansen et al., 2015).

Usage

corr_corr(timeseries, k = 1)

Arguments

timeseries: Numeric matrix [N × Tmax]. BOLD signal.
k: Integer. Upper-triangle offset passed to cofluct(). Default 1.

Value

Numeric matrix [Tmax × Tmax].

References

Hansen, E. C. A. et al. (2015). Functional connectivity dynamics: Modeling the switching behavior of the resting state. NeuroImage, 105, 525–535. doi:10.1016/j.neuroimage.2014.11.001

Examples

set.seed(1)
ts <- matrix(rnorm(10 * 100), nrow = 10, ncol = 100)
cc <- corr_corr(ts)
dim(cc)  # 100 x 100
#> [1] 100 100