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

Alexandre Gramfort alexandre.gramfort at inria.fr
Mon Oct 21 09:07:44 EDT 2019
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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

> 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 :

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