mne.minimum_norm.apply_inverse_raw¶

mne.minimum_norm.
apply_inverse_raw
(raw, inverse_operator, lambda2, method='dSPM', label=None, start=None, stop=None, nave=1, time_func=None, pick_ori=None, buffer_size=None, prepared=False, method_params=None, use_cps=True, verbose=None)[source]¶ Apply inverse operator to Raw data.
 Parameters
 raw
Raw
object Raw data.
 inverse_operator
dict
Inverse operator.
 lambda2
float
The regularization parameter.
 method“MNE”  “dSPM”  “sLORETA”  “eLORETA”
Use minimum norm, dSPM (default), sLORETA, or eLORETA.
 label
Label
None
Restricts the source estimates to a given label. If None, source estimates will be computed for the entire source space.
 start
int
Index of first time sample (index not time is seconds).
 stop
int
Index of first time sample not to include (index not time is seconds).
 nave
int
Number of averages used to regularize the solution. Set to 1 on raw data.
 time_func
callable()
Linear function applied to sensor space time series.
 pick_ori
None
 “normal”  “vector” Options:
None
Pooling is performed by taking the norm of loose/free orientations. In case of a fixed source space no norm is computed leading to signed source activity.
"normal"
Only the normal to the cortical surface is kept. This is only implemented when working with loose orientations.
"vector"
No pooling of the orientations is done, and the vector result will be returned in the form of a
mne.VectorSourceEstimate
object. This is only implemented when working with loose orientations.
 buffer_size
int
(orNone
) If not None, the computation of the inverse and the combination of the current components is performed in segments of length buffer_size samples. While slightly slower, this is useful for long datasets as it reduces the memory requirements by approx. a factor of 3 (assuming buffer_size << data length). Note that this setting has no effect for fixedorientation inverse operators.
 preparedbool
If True, do not call
prepare_inverse_operator()
. method_params
dict
None
Additional options for eLORETA. See Notes of
apply_inverse()
.New in version 0.16.
 use_cpsbool
Whether to use cortical patch statistics to define normal orientations for surfaces (default True).
Only used when the inverse is free orientation (
loose=1.
), not in surface orientation, andpick_ori='normal'
.New in version 0.20.
 verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
 raw
 Returns
 stc
SourceEstimate
VectorSourceEstimate
VolSourceEstimate
The source estimates.
 stc
See also
apply_inverse_epochs
Apply inverse operator to epochs object.
apply_inverse
Apply inverse operator to evoked object.