eelbrain.pipeline.MneExperiment.load_evoked_stc

MneExperiment.load_evoked_stc(self, subjects=None, baseline=True, src_baseline=False, cat=None, keep_evoked=False, morph=False, mask=False, data_raw=False, vardef=None, decim=None, ndvar=True, **state)

Load evoked source estimates.

Parameters:
subjects : str | 1 | -1

Subject(s) for which to load data. Can be a single subject name or a group name such as 'all'. 1 to use the current subject; -1 for the current group. Default is current subject (or group if group is specified).

baseline : bool | tuple

Apply baseline correction using this period in sensor space. True to use the epoch’s baseline specification. The default is True.

src_baseline : bool | tuple

Apply baseline correction using this period in source space. True to use the epoch’s baseline specification. The default is to not apply baseline correction.

cat : sequence of cell-names

Only load data for these cells (cells of model).

keep_evoked : bool

Keep the sensor space data in the Dataset that is returned (default False).

morph : bool

Morph the source estimates to the common_brain (default False).

mask : bool | str

Discard data that is labelled ‘unknown’ by the parcellation (only applies to NDVars, default False). Can be set to a parcellation name or True to use the current parcellation.

data_raw : bool

Keep the mne.io.Raw instance in ds.info['raw'] (default False).

vardef : str

Name of a test defining additional variables.

decim : int

Override the epoch decim factor.

ndvar : bool

Add the source estimates as NDVar named “src” instead of a list of mne.SourceEstimate objects named “stc” (default True).

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Applicable State Parameters: