[Mne_analysis] some questions regarding the source modelling of evoked potentials/fields

[Irina Anurova]

        External Email - Use Caution        

Thank you so much for your help!
Everything works fine.

On Wed, Nov 6, 2019 at 3:09 PM Alexandre Gramfort <
alexandre.gramfort at inria.fr> wrote:

>         External Email - Use Caution
>
> hi Irina,
>
> indeed. I thought it was STC objects. You need to apply the morph to the
> stcs
> to get the source estimates on fsaverage (or your average subject).
>
> maybe this can help
> https://mne.tools/stable/auto_examples/inverse/plot_morph_surface_stc.html?highlight=morph
>
> Alex
>
>
> On Wed, Nov 6, 2019 at 12:38 PM Irina Anurova <anurova.irina at gmail.com>
> wrote:
>
>>         External Email - Use Caution
>>
>> I am very sorry for bothering you again,
>> I tried both options, and got the same error message:
>> TypeError: unsupported operand type(s) for +: 'SourceMorph' and
>> 'SourceMorph'
>>
>> Possibly, there was a mistake in morphing procedure.
>>
>> 1. I downloaded individual stcs:
>> stc = mne.read_source_estimate()
>> 2. I computed morphed stcs:
>> morph = mne.compute_source_morph(stc, subject_from=subject_name,
>> subject_to='fsaverage', subjects_dir=subjects_dir)
>> 3. saved them as *.h5:
>> morph.save()
>> 4. Then I download all morphed stcs:
>> morphS1 = mne.read_source_morph(fileFolderSTC_morph + 'S1_stc-morph.h5')
>> morphS2=.........
>> 5. and then tried to average:
>> grand_average = (morphS1 + morphS2 + morphS3 + morphS4) / 4
>>
>>
>>
>>
>>
>>
>>
>> On Tue, Nov 5, 2019 at 10:17 PM Alexandre Gramfort <
>> alexandre.gramfort at inria.fr> wrote:
>>
>>>         External Email - Use Caution
>>>
>>> hi Irina,
>>>
>>> I tried this:
>>>> morph_group = [morphS1, morphS2, morphS3, morphS4]
>>>> grand_average = mne.SourceEstimate.mean(morph_group)
>>>>
>>>> returns error: "AttributeError: 'list' object has no attribute 'sum'"
>>>>
>>>
>>> you can do arithmetic with stcs
>>>
>>> you can do:
>>>
>>> grand_average = (morphS1 + morphS2 + morphS3 + morphS4) / 4
>>>
>>> and this should work
>>>
>>> all_stcs = [morphS1, morphS2, morphS3, morphS4]
>>> grand_average = sum(all_stcs) / len(all_stcs)
>>>
>>> HTH
>>> Alex
>>>
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