functional labels and stc(surface source estimates)

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1

Dear all,

After I got some functional labels from a subject, I want to morph them
into the 'fsaverage' space.

labels_func is a label list contain 34 labels.

#Extract label time course for lists of labels
stc_func = mne.extract_label_time_course(stc, labels_func, src,
mode='mean_flip', allow_empty=False, return_generator=True)

I want to know how to translate the time_course data into the stc type, so
that I can morph them into fsaverage's space.

Best wishes,
Qunxi Dong
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2

Hi,

Assuming you have labels for each subject, why would you want to morph
the time series afterwards? I.e., if you have per-subject labels at the
same anatomical locations (e.g. labels obtained by FreeSurfer), they
will already be aligned, so morphing isn't necessary.

The other method would be to morph the stc to fsaverage and then extract
time series using labels defined for fsaverage.

I hope this helps,

Martin