Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.surface.load_surf_mesh#
- nilearn.surface.load_surf_mesh(surf_mesh)[source]#
Loading a surface mesh geometry
- Parameters
- surf_meshstr or numpy.ndarray or Mesh
Either a file containing surface mesh geometry (valid formats are .gii .gii.gz or Freesurfer specific files such as .orig, .pial, .sphere, .white, .inflated) or two Numpy arrays organized in a list, tuple or a namedtuple with the fields “coordinates” and “faces”, or a Mesh object with “coordinates” and “faces” attributes.
- Returns
- meshMesh
With the fields “coordinates” and “faces”, each containing a numpy.ndarray
Examples using nilearn.surface.load_surf_mesh
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Loading and plotting of a cortical surface atlas
Loading and plotting of a cortical surface atlas
Cortical surface-based searchlight decoding
Cortical surface-based searchlight decoding