eelbrain.load.mne.forward_operator
- eelbrain.load.mne.forward_operator(fwd, src, subjects_dir=None, parc='aparc', sysname=None, connectivity=None, name=None)
Load forward operator as
NDVar
- Parameters:
fwd (str | Forward) – MNE Forward solution, or path to forward solution.
src (str) – Tag describing the source space (e.g., “ico-4”).
subjects_dir (Path | str) – Location of the MRI subjects directory.
parc (str) – Parcellation to load (corresponding to existing annot files; default ‘aparc’).
sysname (str) – Name of the sensor system to load sensor connectivity (e.g. ‘neuromag’, inferred automatically for KIT data converted with a recent version of MNE-Python).
connectivity (str | Sequence[Tuple[str, str]] | ndarray) –
Connectivity between elements. Can be specified as:
"none"
for no connectionslist of connections (e.g.,
[('OZ', 'O1'), ('OZ', 'O2'), ...]
)numpy.ndarray
of int, shape (n_edges, 2), to specify connections in terms of indices. Each row should specify one connection [i, j] with i < j. If the array’s dtype is uint32, property checks are disabled to improve efficiency."grid"
to use adjacency in the sensor names
If unspecified, it is inferred from
sysname
if possible.name (str) – Name the NDVar (default is the filename if a path is provided, otherwise “fwd”).
- Returns:
fwd – NDVar
(sensor, source)
containing the gain matrix.- Return type: