dfConn (version 0.2.1)

MLPB_boot: Multivariate Linear Process Bootstrap Method

Description

Multivariate Linear Process Bootstrap (MLPB) method to assess the uncertainty in dynamic functional connectivity (dFC) by providing its confidence band.

Usage

MLPB_boot(boot_options)

Arguments

boot_options

a list of option being specify by option_control function.

Details

The dataList parameter is a list of matrices which contains time series data of each region of interest (ROI). Output directory is required here because the results to be generate is massive.

References

Kudela et al. (2017) NeuroImage 10.1016/j.neuroimage.2017.01.056 (PubMed)

Examples

# NOT RUN {
# Load sample data

data(fMRI_dataList)
boot_option <- options_boot(input_list = fMRI_dataList, output_dir = tempdir(),
 rois = c(1,2,3), timepoints = 5, window_size = 5)
MLPB_boot(boot_option)

# }