# Issues generating functional labels for RH **URL:** \ **Category:** Mailing List Archive (read-only)\ **Tags:** list-archive\ **Created:** [March 4, 2016, 2:37pm UTC](https://mne.discourse.group/t/issues-generating-functional-labels-for-rh/970 "2016-03-04T14:37:08Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [March 4, 2016, 2:37pm UTC](https://mne.discourse.group/t/issues-generating-functional-labels-for-rh/970/1 "2016-03-04T14:37:08Z")
Hi all, I have been attempting to generate functional labels from source estimates for a data set as outlined here: [https://martinos.org/mne/stable/auto\_examples/inverse/plot\_label\_from\_stc.html#sphx-glr-auto-examples-inverse-plot-label-from-stc-py](https://martinos.org/mne/stable/auto_examples/inverse/plot_label_from_stc.html#sphx-glr-auto-examples-inverse-plot-label-from-stc-py) This works beautifully for all the left hemisphere parcellations I try, but whenever I try a right hemisphere counter-part, the list of func\_labels return empty, causing the below indexing error: ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [March 4, 2016, 2:46pm UTC](https://mne.discourse.group/t/issues-generating-functional-labels-for-rh/970/2 "2016-03-04T14:46:26Z")
I've recently run my own code based on this example and it works for both hemispheres. Just guessing here, but what does stc\_mean.vertices look like? Does it have vertices in the correct hemisphere? ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [March 4, 2016, 2:57pm UTC](https://mne.discourse.group/t/issues-generating-functional-labels-for-rh/970/3 "2016-03-04T14:57:58Z")
Hm, well the problem must be with me somewhere then. If I run the code for a right hemi parc, I get: In [50]: stc\_mean.vertices Out[50]: [array([12, 68, 76, ..., 132204, 132241, 132257]), array([7, 38, 43, ..., 134417, 134419, 134449])] If I run it on the left hemisphere, I get the exact same thing. Do those two arrays represent vertices for each hemisphere? Or is that telling me its looking at the same vertices (only in the lh) when looking for rh activation? ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [March 4, 2016, 4:08pm UTC](https://mne.discourse.group/t/issues-generating-functional-labels-for-rh/970/4 "2016-03-04T16:08:37Z")
My guess is stc\_to\_label doesn't like 'connected=True' when you have vertices in both hemispheres but I have not looked at the source code. You could try 'connected=False' which should return labels in each hemisphere according to the documentation. Either that, or try to figure out why your parcellation labels are resulting in vertices in both hemispheres and change that. (The ROIs I used to restrict the stc were hand drawn in Freesurfer, so when I use 'stc.in\_label(label)', I only get vertices in one hemisphere; 'stc.vertices' returns a list in which one of the arrays is empty.) ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [March 4, 2016, 5:34pm UTC](https://mne.discourse.group/t/issues-generating-functional-labels-for-rh/970/5 "2016-03-04T17:34:32Z")
Hi Natalie and others, It was actually just my failure to understand the syntax of the output. I needed to change this line: func\_labels,\_ = mne.stc\_to\_label(stc\_mean\_label, src=src, smooth=True,                                   subjects\_dir=subjects\_dir, connected=True) to: \_,func\_labels = mne.stc\_to\_label(stc\_mean\_label, src=src, smooth=True,                                   subjects\_dir=subjects\_dir, connected=True) in order to get my list of rh labels. Thus the emptiness of my list of right hemisphere labels. Thanks to Ivan on the martinos-python list for pointing that out. So (in case it helps anyone else), something like: func\_labels\_lh, func\_labels\_rh = mne.stc\_to\_label(stc\_mean\_label, src=src, smooth=True,                                   subjects\_dir=subjects\_dir, connected=True) would get me two lists, each containing the respective lh and rh labels (as I'm imagining is obvious to anyone with more than a week's worth of python experience). Thanks for trying to help Natalie!