[Mne_analysis] Applying Inverse to Evoked vs Applying Inverse to Epochs and Averaging
Alexandre Gramfort
alexandre.gramfort at inria.fr
Fri Nov 3 13:21:42 EDT 2017
Well it depends on what you want to do. Some analysis on single trials
don't allow you to work just with Evoked
Alex
On Fri, Nov 3, 2017 at 6:13 PM, Rockhill, Alexander P.
<AROCKHILL at mgh.harvard.edu> wrote:
> Hi Alex,
>
> Thank you that makes sense and was along the lines of what I expected.
>
> I assume then that doing the former (applying the inverse to evoked data) is best practice over doing the later (applying inverse epochs and averaging). Is that your understanding as well?
>
> Thanks,
>
> Alex
> ________________________________________
> From: mne_analysis-bounces at nmr.mgh.harvard.edu [mne_analysis-bounces at nmr.mgh.harvard.edu] on behalf of Alexandre Gramfort [alexandre.gramfort at inria.fr]
> Sent: Friday, November 03, 2017 12:28 PM
> To: Discussion and support forum for the users of MNE Software
> Subject: Re: [Mne_analysis] Applying Inverse to Evoked vs Applying Inverse to Epochs and Averaging
>
> when you apply inverse operator to epochs you have more noise which
> corresponds to the nave attribute in evoked (nave == number of
> averaged epochs), which is 1 for single epochs.
>
> also you have the SNR.
>
> the consequence is that the regularization parameter is slightly
> different when you apply the inverse to epochs or to evoked.
>
> HTH
> Alex
>
>
>
> On Fri, Nov 3, 2017 at 4:11 PM, Rockhill, Alexander P.
> <AROCKHILL at mgh.harvard.edu> wrote:
>> Hi all,
>>
>> I tried applying an inverse model to the evoked data and also applying
>> inverse epochs directly to the same epochs that were averaged to make the
>> evoked data and then averaging the data from the list of source space time
>> courses, and these matrices weren't the same. Does anyone have any insight
>> as to why this would be?
>>
>> Thanks,
>>
>> Alex
>>
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