# functional labels and stc(surface source estimates)

**URL:** <https://mne.discourse.group/t/functional-labels-and-stc-surface-source-estimates/670>\
**Category:** Mailing List Archive (read-only)\
**Tags:** list-archive\
**Created:** [February 20, 2014, 1:32pm UTC](https://mne.discourse.group/t/functional-labels-and-stc-surface-source-estimates/670 "2014-02-20T13:32:26Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\
**Post date:** [February 20, 2014, 1:32pm UTC](https://mne.discourse.group/t/functional-labels-and-stc-surface-source-estimates/670/1 "2014-02-20T13:32:26Z")

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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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**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\
**Post date:** [February 20, 2014, 2:12pm UTC](https://mne.discourse.group/t/functional-labels-and-stc-surface-source-estimates/670/2 "2014-02-20T14:12:32Z")

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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