This library is compatible with the CIFTI-2 format, without externally installed dependencies (except that CIFTI-1 files require wb_command for conversion), returning a structure that exposes the information contained in the CIFTI-2 XML with minimal translation, as well as the data matrix with no added padding. The cifti_read function is the intended starting point, ciftiopen and similar are compatibility wrappers so that the library can be used in older code.
Additionally, the library provides numerous helper functions to make many common operations (such as extracting the data for one structure) into a single line of intuitive code.
The previous code that was derived from FieldTrip is in the "ft_cifti" folder.
The cifti structure returned by this library uses 0-based indices for vertex and voxel indices, 1-based for cifti indices, and the helper functions return 1-based indices for everything.
All exposed functions have usage information available through the help command:
>> help cifti_read
function outstruct = cifti_read(filename, ...)
Read a cifti file.
...
The simplest practical usage is to load a cifti file with cifti_read, take
its data from the .cdata field, modify it, store it back into the .cdata field,
and write it back out to a new file with cifti_write:
mycifti = cifti_read('something.dscalar.nii');
mycifti.cdata = sqrt(mycifti.cdata);
cifti_write(mycifti, 'sqrt.dscalar.nii');The ciftiopen, ciftisave, and ciftisavereset functions provide backward
compatibility with a previous cifti library (option II of
HCP FAQ 2),
and you can also use this ciftisavereset function even if you use cifti_read.
An alternative way to do the equivalent of ciftisavereset is to use the
cifti_write_from_template helper function (which also has options to set
the names of the maps for dscalar, and similar for other cifti file types):
mycifti = cifti_read('something.dscalar.nii');
cifti_write_from_template(mycifti, mycifti.cdata(:, 1), 'firstmap.dscalar.nii', 'namelist', {'map #1'});
%ciftisavereset equivalent (keeping 'mycifti' unmodified):
mycifti = cifti_read('something.dscalar.nii');
newcifti = mycifti;
newcifti.cdata = mycifti.cdata(:, 1);
ciftisavereset(newcifti, 'firstmap.dscalar.nii');
clear newcifti;The cifti_struct_create_from_template function can create a cifti struct without writing
it to a file, with the same options as cifti_write_from_template to control the other
diminfo. The cifti_write... or cifti_struct... functions should handle most cases of
working with common cifti files, including extracting the data for one cortical surface,
doing some computation on it, and replacing the surface data with the new values:
mycifti = cifti_read('something.dscalar.nii');
leftdata = cifti_struct_dense_extract_surface_data(mycifti, 'CORTEX_LEFT');
newleftdata = 1 - leftdata;
newcifti = cifti_struct_dense_replace_surface_data(mycifti, newleftdata, 'CORTEX_LEFT');
...The dense part of some function names refers to only being applicable to "dense" files
or diminfo (in cifti xml terms, a "brain models" mapping), such as dtseries, dscalar,
dlabel, or dconn. There are more dense helpers mainly because there is a more common
need to make use of the information in a dense diminfo than most other diminfo types.
The cifti_diminfo_* helpers are lower-level and require more understanding of the
details of the cifti format, and often require writing more code to use them, so you
should generally look at the cifti_write... and cifti_struct... functions first.
outstruct = cifti_read(filename, ...)
cifti_write(cifti, filename, ...)
cifti = ciftiopen(filename, ...) %note: these 3 do not use option pairs,
ciftisave(cifti, filename, ...) % the varargin here is to make passing 'wb_command' optional
ciftisavereset(cifti, filename, ...)
cifti = cifti_struct_create_from_template(ciftitemplate, data, type, ...)
cifti_write_from_template(ciftitemplate, data, filename, ...)
cifti = cifti_struct_create_sdseries(data, ...)
cifti_write_sdseries(data, filename, ...)
[outdata, outroi] = cifti_struct_dense_extract_surface_data(cifti, structure[, dimension])
cifti = cifti_struct_dense_replace_surface_data(cifti, data, structure[, dimension])
[outdata, outsform1, outroi] = cifti_struct_dense_extract_volume_all_data(cifti[, cropped, dimension])
cifti = cifti_struct_dense_replace_volume_all_data(cifti, data[, cropped, dimension])
[outdata, outsform1, outroi] = cifti_struct_dense_extract_volume_structure_data(cifti, structure[, cropped, dimension])
cifti = cifti_struct_dense_replace_volume_structure_data(cifti, data, structure[, cropped, dimension])
[surflist, vollist] = cifti_diminfo_dense_get_structures(diminfo) %returns the names of structures that exist in this diminfo
outstring = cifti_metadata_get(metadata, key) %returns empty string for nonexistent key
metadata = cifti_metadata_remove(metadata, key) %returns unmodified metadata struct for nonexistent key
metadata = cifti_metadata_set(metadata, key, value) %overwrites key if it exists
outinfo = cifti_diminfo_dense_get_surface_info(diminfo, structure)
outinfo = cifti_diminfo_dense_get_volume_all_info(diminfo[, cropped])
outinfo = cifti_diminfo_dense_get_volume_structure_info(diminfo, structure[, cropped])
outmap = cifti_diminfo_make_scalars(nummaps[, namelist, metadatalist])
outmap = cifti_diminfo_make_series(nummaps[, start, step, unit])
indices = cifti_vox2ind(dims, voxlist1) %helper to act like sub2ind for voxel ijk lists