Read a CIFTI file as a "xifti" object (see is.xifti).
read_cifti(
  cifti_fname = NULL,
  flat = FALSE,
  surfL_fname = NULL,
  surfR_fname = NULL,
  brainstructures = c("left", "right"),
  resamp_res = NULL,
  mwall_values = c(NA, NaN),
  wb_path = NULL,
  verbose = FALSE,
  ...
)readCIfTI(
  cifti_fname,
  flat = FALSE,
  surfL_fname = NULL,
  surfR_fname = NULL,
  brainstructures = c("left", "right"),
  resamp_res = NULL,
  mwall_values = c(NA, NaN),
  wb_path = NULL,
  verbose = FALSE,
  ...
)
readcii(
  cifti_fname,
  flat = FALSE,
  surfL_fname = NULL,
  surfR_fname = NULL,
  brainstructures = c("left", "right"),
  resamp_res = NULL,
  mwall_values = c(NA, NaN),
  wb_path = NULL,
  verbose = FALSE,
  ...
)
read_xifti(
  cifti_fname,
  flat = FALSE,
  surfL_fname = NULL,
  surfR_fname = NULL,
  brainstructures = c("left", "right"),
  resamp_res = NULL,
  mwall_values = c(NA, NaN),
  wb_path = NULL,
  verbose = FALSE,
  ...
)
File path of CIFTI-format data (ending in ".d*.nii").
Should the result be flattened into a single matrix?
If FALSE (default), the result will be a "xifti" object.
If TRUE, the result will be a \(T x G\) matrix (\(T\) 
 measurements, \(G\) greyordinates not including the medial wall if it's 
 excluded from the ROI). All below arguments will be ignored because the 
 brain structures cannot be identified. Surfaces will not be appended. 
 Resampling is also not possible. flat==TRUE is the fastest way to 
 read in just the CIFTI data.
If TRUE, the greyordinates will be ordered by left cortex, right 
 cortex, and then subcortex. Subcortical voxels will be ordered by alphabetical 
 label. However, where each brainstructure (and subcortical structure) begins
 and ends cannot be determined. The medial wall locations and subcortical 
 brain mask are also not included. The data matrix will be identical to that 
 created by -cifti-convert -to-gifti-ext.
(Optional) File path of GIFTI surface geometry file representing the left cortex.
(Optional) File path of GIFTI surface geometry file representing the right cortex.
Character vector indicating which brain structure(s) 
 to obtain: "left" (left cortical surface), "right" (right 
 cortical surface) and/or "subcortical" (subcortical and cerebellar
 gray matter). Can also be "all" (obtain all three brain structures). 
 Default: c("left","right") (cortical surface only).
If a brain structure is indicated but does not exist, a warning will be raised and that brain structure will be skipped.
Resolution to resample the cortical data and surface to.
Default: NULL (do not resample). If not NULL, the data will 
have to be read in with -cifti-separate, which is slower than 
-cifti-convert -to-gifti-ext.
If the medial wall locations are not indicated in the
CIFTI, use these values to infer the medial wall mask. Default: 
c(NA, NaN). If NULL, do not attempt to infer the medial wall.
(Optional) Path to Connectome Workbench folder or executable. 
If not provided, should be set with 
ciftiTools.setOption("wb_path", "path/to/workbench").
Should occasional updates be printed? Default: FALSE.
Additional arguments to read_cifti_convert or 
read_cifti_separate.
If !flat, a "xifti" object. Otherwise, a \(T x G\) 
 matrix (\(T\) measurements, \(G\) greyordinates).
This function uses a system wrapper for the 'wb_command' executable. The 
 user must first download and install the Connectome Workbench, available 
 from https://www.humanconnectome.org/software/get-connectome-workbench . 
 The wb_path argument is the full file path to the Connectome 
 Workbench folder. (The full file path to the 'wb_cmd' executable also 
 works.)
xifti$meta$subcort$labels is a factor with the following levels:
Cortex-L
Cortex-R
Accumbens-L
Accumbens-R
Amygdala-L
Amygdala-R
Brain Stem
Caudate-L
Caudate-R
Cerebellum-L
Cerebellum-R
Diencephalon-L
Diencephalon-R
Hippocampus-L
Hippocampus-R
Pallidum-L
Pallidum-R
Putamen-L
Putamen-R
Thalamus-L
Thalamus-R
These correspond to the same structures as given by 
 ft_read_cifti in the cifti-matlab MATLAB toolbox.
First, metadata is obtained with info_cifti. Then, if no 
 resampling is requested, the -cifti-convert -to-gifti-ext Workbench 
 Command is used to "flatten" the data and save it as a metric GIFTI file, 
 which is read in and separated by brainstructure according to the metadata 
 (read_cifti_convert). Otherwise, if sampling is requested, 
 then the CIFTI is separated into its GIFTI and NIFTI components, resampled,
 and then re-assembled (read_cifti_separate). The former is
 much faster for large CIFTI files, so the latter is only used when necessary
 for resampling.
If cifti_fname is not provided, then only the surfaces are read in.