View source: R/read_cifti_header.R
| cifti.structures | R Documentation |
Get the brain model entries for one matrix dimension of a CIFTI-2 file, i.e. the mapping from matrix indices to surface vertices or volume voxels. Note that a brain structure can appear in several brain model entries: a grayordinates file can contain a surface part and a volume part for the same structure, and a structure can be split into several index ranges. Always use the index ranges from this table to map data values, never the structure names.
cifti.structures(cii, dim = 0L)
cii |
an |
dim |
integer, the matrix dimension to get the brain models for. CIFTI-2
files have two dimensions, so this is usually 0 (Workbench calls it the ROW
dimension) or 1 (the COLUMN dimension). See
|
a data.frame with one row per brain model entry and the columns
'structure' (character string, the brain structure in the spelling used in
the file), 'structure_short' (character string, the normalized name without
the CIFTI_STRUCTURE_ prefix, e.g. 'CORTEX_LEFT'), 'model_type' ('SURFACE'
or 'VOXELS'), 'index_offset' (integer, 0-based index of the first matrix
entry covered by this brain model), 'index_count' (integer, the number of
matrix entries covered) and 'surface_number_of_vertices' (integer, the
number of vertices of the complete surface, for surface models; NA for
volume models). Use index_offset and index_count to extract the data
values for a brain model from the data matrix.
Other cifti functions:
cifti.axis.brain.models(),
cifti.axis.from.template(),
cifti.axis.labels(),
cifti.axis.parcels(),
cifti.axis.parcels.from.annot(),
cifti.axis.scalars(),
cifti.axis.series(),
cifti.brain.model.surface(),
cifti.brain.model.volume(),
cifti.dim.labels(),
cifti.file.type.for.axes(),
cifti.grayordinates(),
cifti.header.from.axes(),
cifti.label.table(),
cifti.parcel(),
cifti.parcels(),
cifti.series.info(),
cifti.structure.data(),
cifti.volume(),
print.fs.cifti(),
print.fs.cifti.data(),
print.fs.connectome(),
read.cifti(),
read.cifti.header(),
read.cifti.rows(),
read.fs.connectome.cifti(),
write.cifti(),
write.fs.connectome.cifti(),
write.fs.morph.cifti(),
write.fs.parcellated.cifti(),
write.fs.parcellation.cifti(),
write.fs.series.cifti()
cifti_file <- system.file("extdata", "cifti", "tiny.dscalar.nii", package = "freesurferformats")
cii <- read.cifti.header(cifti_file)
cifti.structures(cii, dim = 1L)
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