Apply cortical signal suppression (CSS) to evoked data.
Evoked
The evoked object to use for CSS. Must contain magnetometer, gradiometer, and EEG channels.
str
| list
| slice
| None
Channels to include. Slices and lists of integers will be interpreted as
channel indices. In lists, channel type strings (e.g., ['meg',
'eeg']
) will pick channels of those types, channel name strings (e.g.,
['MEG0111', 'MEG2623']
will pick the given channels. Can also be the
string values “all” to pick all channels, or “data” to pick data
channels. None (default) will pick good data channels. Note that channels
in info['bads']
will be included if their names or indices are
explicitly provided.
int
Array of the magnetometer channel indices that will be used to find the reference data. If None (default), all magnetometers will be used.
int
Array of the gradiometer channel indices that will be used to find the reference data. If None (default), all gradiometers will be used.
int
The number of projection vectors.
str
| int
| None
Control verbosity of the logging output. If None
, use the default
verbosity level. See the logging documentation and
mne.verbose()
for details. Should only be passed as a keyword
argument.
Evoked
The evoked object with cortical contributions to the EEG data suppressed.
Notes
This method removes the common signal subspace between the magnetometer
data and the gradiometer data from the EEG data. This is done by a temporal
projection using n_proj
number of projection vectors. For reference,
see [1].
References
mne.preprocessing.cortical_signal_suppression
#Cortical Signal Suppression (CSS) for removal of cortical signals