[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
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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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