Note
This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.experimental.surface.SurfaceImage¶
- class nilearn.experimental.surface.SurfaceImage(mesh, data)[source]¶
Surface image, usually containing meshes & data for both hemispheres.
- __init__(mesh, data)[source]¶
Create a SurfaceImage instance.
- Parameters:
- meshPolyMesh | dict[str, Mesh | str | Path]
- dataPolyData | dict[str, Mesh | str | Path] | Niimg-like object
- to_filename(filename)[source]¶
Save mesh to gifti.
- Parameters:
- filenamestr | Path
If the filename contains hemi-L then only the left part of the mesh will be saved. If the filename contains hemi-R then only the right part of the mesh will be saved. If the filename contains neither of those, then _hemi-L and _hemi-R will be appended to the filename and both will be saved.
Examples using nilearn.experimental.surface.SurfaceImage¶
Surface-based dataset first and second level analysis of a dataset
Surface-based dataset first and second level analysis of a dataset
