abagen.fetch_desikan_killiany¶
- abagen.fetch_desikan_killiany(native=False, surface=False, *args, **kwargs)[source]¶
Fetches Desikan-Killiany atlas shipped with abagen
- Parameters
native (bool, optional) – Whether to return individualized atlases in donor native space. Default: False
surface (bool, optional) – Whether to return surface instead of volumetric parcellation. This option is currently incompatible with
native=True
; instead, refer toabagen.datasets.fetch_freesurfer()
for donor-specific surface atlases. Default: False
- Returns
atlas – Dictionary with keys [‘image’, ‘info’] pointing to atlas image and information files. If
native
then ‘image’ is a dictionary where keys are donor IDs and values are image paths. Ifsurface
then ‘image’ is a tuple of GIFTI files (.label.gii.gz)- Return type
References
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., … & Albert, M. S. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage, 31(3), 968-980.
Examples
>>> import abagen >>> atlas = abagen.fetch_desikan_killiany() >>> print(atlas['image']) /.../abagen/data/atlas-desikankilliany.nii.gz >>> print(atlas['info']) /.../abagen/data/atlas-desikankilliany.csv
When fetching native-space atlases, atlas[‘image’] will be a dictionary where the keys are donor IDs and the values are paths to the donor-specific atlases:
>>> atlas = abagen.fetch_desikan_killiany(native=True) >>> print(atlas['image'].keys()) dict_keys(['9861', '10021', '12876', '14380', '15496', '15697']) >>> print(atlas['image']['9861']) /.../abagen/data/native_dk/9861/atlas-desikankilliany.nii.gz