eelbrain.pipeline.MneExperiment.load_induced_stc

MneExperiment.load_induced_stc(self, subjects=None, frequencies=None, n_cycles=None, pad=0.25, baseline=True, cat=None, morph=False, mask=False, vardef=None, decim=1, **state)

Morlet wavelet induced power and phase in source space.

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).

frequencies : array of scalar

Frequencies for which to compute induced activity.

n_cycles : scalar | array of scalar

Number of cycles in each wavelet. Fixed number or one per frequency.

pad : scalar

Pad the epochs data to avoid edge effects in wavelet representation (specified in seconds; default 0.250).

baseline : bool | tuple

Baseline for the epochs, True to use the epoch’s baseline specification (default).

cat : sequence of cell-names

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

morph : bool

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

mask : bool | str

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

vardef : str

Name of a test defining additional variables.

decim : int

Decimate time-frequency representation (cumulative with epoch decimation factor).

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Applicable State Parameters: