MLPB_boot: Multivariate Linear Process Bootstrap Method
In dfConn: Dynamic Functional Connectivity Analysis

Description Usage Arguments Details References Examples

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

1	MLPB_boot(boot_options)

boot_options

a list of option being specify by option_control function.

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.

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

# 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)