[FieldTrip] inverse imaging

[Julian Keil]

Hi David,

regarding the lambda, I think there are different ideas floating around the fieldtrip discussion-list. I suggest searching for the term „lambda“ to get a rough idea. Personally, for our EEG-data I usually use 10%.

What is your question exactly regarding the covariance as input?

Cheers,

Julian

> Am 13.09.2017 um 13:22 schrieb David Pascucci <psc.dav at gmail.com>:
> 
> Thaks Julian,
> that is the approach I was using, with eLoreta.
> I am not sure about two steps,though.
> One is the estimate and use of the signal covariance to input for single-trial activity in source space.
> The other is the choice of the optimal lambda.
> 
> If you have some advice, that wold be very helpful.
> 
> Thanks,
> David
> 
> 2017-09-13 12:22 GMT+02:00 Julian Keil <julian.keil at gmail.com <mailto:julian.keil at gmail.com>>:
> Hi David,
> 
> do you want to obtain single-trial activity in source space? In that case, have you looked at the „virtual sensors“-tutorial? http://www.fieldtriptoolbox.org/tutorial/shared/virtual_sensors <http://www.fieldtriptoolbox.org/tutorial/shared/virtual_sensors>
> In the tutorial, LCMV is used for the source analysis, but it should also work with sloreta, as the output-structure of the source-analysis is identical. I’m not sure about MNE though.
> 
> Good luck,
> 
> Julian
> 
> 
>> Am 12.09.2017 um 20:47 schrieb David Pascucci <psc.dav at gmail.com <mailto:psc.dav at gmail.com>>:
>> 
>> Dear fieldtrip experts,
>> 
>> I was wondering if anyone has experience with extracting single trials estimates of source activity (using MNE or Loreta-based approaches) from regions of interest, and what would be the best procedure…
>> 
>> 
>> 
>> Thanks in advance
>> 
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> -- 
> --------------------- 
> David Pascucci
> 
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