[Mne_analysis] Localizing spontaneous activity: Best method / pipeline
lsbarbosa at gmail.com
Thu Nov 3 13:14:05 EDT 2016
That is exactly what I was looking for! I grepped a little and found some
nice examples using it.
Btw, can I make a suggestion? Change the name in the main menu from
"Gallery" to "Examples"!
I was mostly looking at Tutorials, imagining that Gallery was something
like figures and print-screens :)
2016-11-03 8:40 GMT-05:00 Alexandre Gramfort <alexandre.gramfort at telecom-
> hi Leonardo,
> I will not comment on what's best but you can use all linear inverse
> (beamformers, MNE/dSPM/sLORETA) on epochs or even raw data.
> Have a look at
> On Wed, Nov 2, 2016 at 11:48 PM, Leonardo Barbosa <lsbarbosa at gmail.com>
>> Dear MNE users!
>> I've been trying to localize spontaneous activity for a week now, and
>> couldn't find much about this topic in the MNE list archives:
>> I think my main question for the moment would be: which method / pipeline
>> would be the most appropriate?
>> Looking into the literature, it seems like DICS is most used, probably
>> because normally you are interested in some form of oscillatory component,
>> and DICS uses the cross-spectral density matrix
>> Interestingly, tf_dics seems to be the only source localization / inverse
>> calculation that accept Epochs as parameter (although it calculates the csd
>> for each epoch, averages afterwards and return one source localization for
>> the average)
>> All the other methods expect Evoked data
>> So a more specific question would be:* How can I source localize each
>> epoch using for instance mne.inver_sparse, perform a PSD/TF tranformation
>> *source space for each epoch, and then average the results? **Is there
>> some example in this sense?*
>> There is an interesting post by Matti Hamalainen about that
>> And taking into consideration the other posts and all the technical
>> aspects, I would prefer to apply the TF in source space and avoid
>> introducing temporal correlations in the signal if possible.
>> Thank you in advance for any help!
>> Leonardo S. Barbosa, PhD
>> Postdoctoral Research Scientist
>> University of Wisconsin, Madison
>> Center for Sleep and Consciousness Studies
>> Mne_analysis mailing list
>> Mne_analysis at nmr.mgh.harvard.edu
>> The information in this e-mail is intended only for the person to whom it
>> addressed. If you believe this e-mail was sent to you in error and the
>> contains patient information, please contact the Partners Compliance
>> HelpLine at
>> http://www.partners.org/complianceline . If the e-mail was sent to you
>> in error
>> but does not contain patient information, please contact the sender and
>> dispose of the e-mail.
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> The information in this e-mail is intended only for the person to whom it
> addressed. If you believe this e-mail was sent to you in error and the
> contains patient information, please contact the Partners Compliance
> HelpLine at
> http://www.partners.org/complianceline . If the e-mail was sent to you in
> but does not contain patient information, please contact the sender and
> dispose of the e-mail.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Mne_analysis