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

Irina Anurova anurova.irina at gmail.com
Mon Oct 21 09:29:46 EDT 2019
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Thank you very much for your reply,
Yes, I need to reconstruct the average from 80 to 120ms (to average the
whole-head source estimates over time - in this example, 40 time points at
sampling rate of 1000 Hz).

On Mon, Oct 21, 2019 at 4:08 PM Alexandre Gramfort <
alexandre.gramfort at inria.fr> wrote:

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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
> Alex
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