mne.apply_forward¶

mne.apply_forward(fwd, stc, info, start=None, stop=None, use_cps=True, on_missing='raise', verbose=None)[source]¶

Project source space currents to sensor space using a forward operator.

The sensor space data is computed for all channels present in fwd. Use pick_channels_forward or pick_types_forward to restrict the solution to a subset of channels.

The function returns an Evoked object, which is constructed from evoked_template. The evoked_template should be from the same MEG system on which the original data was acquired. An exception will be raised if the forward operator contains channels that are not present in the template.

Parameters

fwdForward: Forward operator to use.
stcSourceEstimate: The source estimate from which the sensor space data is computed.
infoinstance of Info: Measurement info to generate the evoked.
startint, optional: Index of first time sample (index not time is seconds).
stopint, optional: Index of first time sample not to include (index not time is seconds).
use_cpsbool: Whether to use cortical patch statistics to define normal orientations for surfaces (default True).

New in version 0.15.
on_missingstr: Can be 'raise' (default) to raise an error, 'warn' to emit a warning, or 'ignore' to ignore when stc has vertices that are not in fwd. Default is “raise”.

New in version 0.18.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

evokedEvoked: Evoked object with computed sensor space data.