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

[Alexandre Gramfort]

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hi,

I am a new MNE Python user, so excuse me for trivial questions.
> 1. Is it possible to reconstruct the source for an integrated time window
> (e.g., for the auditory N1, from 80 to 120 ms), in order to use the same
> time window for the comparison among experimental conditions (e.g.,
> attention vs. no attention)?
>

what do you mean by this? reconstruct the average from 80 to 120ms?
if you just want to limit what you reconstruct you can use Evoked.crop
method.


> 2. If yes, how to extract the time course of this source, and then to
> obtain peak latency and coordinates of a peak vertex, and the amplitude
> value for the estimated time window?
>

stc have data (time courses) and vertnos to know to which cortical vertex
it corresponds to.


> 3. How to get a grand average for these source estimates?
>

grand average over subject? you need to morph the stcs to fsaverage.

these tutorials should help :
https://mne.tools/stable/auto_tutorials/index.html#source-modeling

HTH
Alex
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