eelbrain.VolumeSourceSpace
- class eelbrain.VolumeSourceSpace(vertices, subject=None, src=None, subjects_dir=None, parc=None, connectivity='custom', name='source', filename='{subject}-{src}-src.fif')
MNE volume source space
- Parameters
vertices (Sequence[numpy.ndarray]) – List of 2 integer arrays. The vertex identities of the dipoles in the source space (left and right hemisphere separately).
subject (str) – The mri-subject name.
src (str) – The description of the source space (e.g.
vol-7
).subjects_dir (PathArg) – The path to the FreeSurfer subjects-directory (needed to locate the source space file).
parc (str) – Add a parcellation to the source space to identify vertex location.
connectivity ('grid' | 'none' | array of int, (n_edges, 2)) – Connectivity between elements. Set to
"none"
for no connections or"grid"
to use adjacency in the sequence of elements as connection. Set tonumpy.ndarray
to specify custom connectivity. The array should be of shape (n_edges, 2), and each row should specify one connection [i, j] with i < j, with rows sorted in ascending order. If the array’s dtype is uint32, property checks are disabled to improve efficiency.name (str) – Dimension name (default
"source"
).filename (str) – Filename template for the MNE source space file.
See also
SourceSpace
surface-based source space
Methods
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Return an index into all vertices closer than |
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Create source space connectivity |
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Convert a dimension index to an array index |
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SourceSpace dimension from MNE source space file |
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SourceSpace dimension from |
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Read the corresponding MNE source space |
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Return the index for a label |
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Index into a subset dimension |
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Create a Source dimension that is the intersection with dim |