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

[Irina Anurova]

        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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