# make\_watershed\_bem() does not make a BEM usable by setup\_volume\_source\_space() **URL:** \ **Category:** Mailing List Archive (read-only)\ **Tags:** list-archive\ **Created:** [October 4, 2019, 11:20pm UTC](https://mne.discourse.group/t/make-watershed-bem-does-not-make-a-bem-usable-by-setup-volume-source-space/1972 "2019-10-04T23:20:20Z")\ **Posts on this page:** 4\ **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:** [October 4, 2019, 11:20pm UTC](https://mne.discourse.group/t/make-watershed-bem-does-not-make-a-bem-usable-by-setup-volume-source-space/1972/1 "2019-10-04T23:20:20Z")
External Email - Use Caution Hi, At line 1182 of [https://github.com/mne-tools/mne-python/blob/maint/0.19/mne/bem.py](https://github.com/mne-tools/mne-python/blob/maint/0.19/mne/bem.py) mne.bem.make\_watershed\_bem() is creating the BEM FIF file using FIFF.FIFFV\_BEM\_SURF\_ID\_HEAD (==4). When using this BEM file for source modeling mne.setup\_volume\_source\_space() expect FIFF.FIFFV\_BEM\_SURF\_ID\_BRAIN (==1) (line 1705 [https://github.com/mne-tools/mne-python/blob/master/mne/source\_space.py](https://github.com/mne-tools/mne-python/blob/master/mne/source_space.py)) and then crash because this surface id is not found in the BEM (stack trace below). I used mne.bem.make\_watershed\_bem(fs\_subject, subjects\_dir=subjects\_dir,                            overwrite=False, show=True) to make the BEM and vol\_src = setup\_volume\_source\_space(     subject, mri=fname\_aseg, pos=10.0, bem=fname\_model,     add\_interpolator=False, volume\_label=labels\_vol, subjects\_dir=subjects\_dir) to build the source space. Do you think it is a bug (I'll make a ticker if so), or does it look like I used these functions not correctly? Best, Christian ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [October 4, 2019, 11:50pm UTC](https://mne.discourse.group/t/make-watershed-bem-does-not-make-a-bem-usable-by-setup-volume-source-space/1972/2 "2019-10-04T23:50:55Z")
External Email - Use Caution That function just makes the surfaces, plus the subject's head FIF. I suspect you've tried to use `subject-head.fif` as your BEM, which will not work. You need to use `mne.make_bem_model` and `mne.make_bem_solution` to actually make the BEM itself from the surfaces `make_watershed_bem` produced, choosing along the way if you want a 1-layer or 3-layer model. You can then save these to disk and load them when you need them. Eric ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [October 10, 2019, 10:52am UTC](https://mne.discourse.group/t/make-watershed-bem-does-not-make-a-bem-usable-by-setup-volume-source-space/1972/3 "2019-10-10T10:52:00Z")
External Email - Use Caution Hi,    Seasons' greetings.            I am new to MNE and also to python. How to install mne-features in anaconda navigator. I tried with pip install mne-features, but shows the following error: (base) C:\Users\Admin\>pip install mne-features Collecting mne-features   Could not find a version that satisfies the requirement mne-features (from versions: ) No matching distribution found for mne-features the following Requirement are also satisfied: These are the dependencies to use MNE-Features:    - numpy (\>=1.8)    - matplotlib (\>=1.3)    - scipy (\>=0.19)    - numba (\>=0.37)    - scikit-learn (\>=0.19)    - mne (\>=0.14)    - PyWavelets (\>=0.5.2)    - pandas (\>=0.20) please help me out. regards, \*M.Bhuvaneshwari,\* \*Research Scholar,\* \*Karunya Institute of technology and Sciences\* \*Coimbatore.\* ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [October 12, 2019, 12:25pm UTC](https://mne.discourse.group/t/make-watershed-bem-does-not-make-a-bem-usable-by-setup-volume-source-space/1972/4 "2019-10-12T12:25:56Z")
External Email - Use Caution hi, mne-features has never been pushed to pypi. You should do: pip install git+ [https://github.com/mne-tools/mne-features.git#egg=mne\_features](https://github.com/mne-tools/mne-features.git#egg=mne_features) to install from the master branch. Readme of mne-features needs to be updated or package should be released and pushed to pypi. Alex