norm_BOLD {BayesBrainMap} | R Documentation |
Normalize BOLD data
Description
Center the data across space and/or time, detrend, and scale, in that order. For dual regression, row centering is required and column centering is not recommended. Scaling and detrending depend on the user preference.
Usage
norm_BOLD(
BOLD,
center_rows = TRUE,
center_cols = FALSE,
scale = c("local", "global", "none"),
scale_sm_xifti = NULL,
scale_sm_FWHM = 2,
scale_sm_xifti_mask = NULL,
hpf = 0,
TR = NULL
)
Arguments
BOLD |
fMRI numeric data matrix ( |
center_rows , center_cols |
Center BOLD data across rows (each data
location's time series) or columns (each time point's image)? Default:
|
scale |
|
scale_sm_xifti , scale_sm_FWHM |
Only applies if |
scale_sm_xifti_mask |
For local scaling with smoothing, the data must be unmasked to be mapped back to the surface. So if the data are masked, provide the mask here. |
hpf |
The frequency at which to apply a highpass filter to the data
during pre-processing, in Hertz. Default: Note the |
TR |
The temporal resolution of the data, i.e. the time between volumes,
in seconds. |
Value
Normalized BOLD data matrix (V \times T
)