[Mne_analysis] MNE source estimate analysis with multiple conditions

Lin Wang wanglinsisi at gmail.com
Tue May 30 12:54:12 EDT 2017
Search archives:

Hi everyone,

I have a followup question regarding the group level contrast: Do I need to
apply mne.label_sign_flip before averaging the activaitons across all
subjects?

I used "fixed=False, loose=0.2" to get the inverse solution, then I defined
"pick_ori="normal"" when applying the inverse solution to the evoked
difference (evoked1 - evoked2) for each subject.

I'm wondering if I should flip the signs when averaging the activations
across subjects.

Thanks for the help!

Lin



On Tue, Apr 18, 2017 at 10:55 AM, Lyam Bailey <Lyam.Bailey at dal.ca> wrote:

> Thanks Andy!
>
>
> ---------------------------------------------------------
>
> Lyam Bailey, BSc.
>
> Graduate Student
> Department of Psychology & Neuroscience
> Dalhousie University
>
> ------------------------------
> *From:* mne_analysis-bounces at nmr.mgh.harvard.edu <
> mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of Andrew R. Dykstra <
> andrew.dykstra at uni-heidelberg.de>
> *Sent:* Monday, April 17, 2017 8:08:15 PM
>
> *To:* Discussion and support forum for the users of MNE Software
> *Subject:* Re: [Mne_analysis] MNE source estimate analysis with multiple
> conditions
>
>
> Hi Lyam,
>
>
> See here:
>
> http://martinos.org/mne/dev/generated/mne.epochs.equalize_
> epoch_counts.html
>
>
> HTH,
>
> Andy
>
> On 2017-04-17 06:04 PM, Lyam Bailey wrote:
>
> I suppose we could equalise the number of epochs per condition, in theory
> (although I'm not familiar with the best way to do this). Basically the
> unequal epoch numbers arose due to problems during data collection, whereby
> a few random trials were lost in almost every subject.
>
>
> Regards
>
> Lyam
>
>
> ---------------------------------------------------------
>
> Lyam Bailey, BSc.
> Graduate Student
> Department of Psychology & Neuroscience
> Dalhousie University
>
> ------------------------------
> *From:* mne_analysis-bounces at nmr.mgh.harvard.edu
> <mne_analysis-bounces at nmr.mgh.harvard.edu>
> <mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of Denis-Alexander
> Engemann <denis.engemann at gmail.com> <denis.engemann at gmail.com>
> *Sent:* Monday, April 17, 2017 4:40:11 PM
> *To:* Discussion and support forum for the users of MNE Software
> *Subject:* Re: [Mne_analysis] MNE source estimate analysis with multiple
> conditions
>
> Does your experimental logic allow you to equalize the number of epochs
> per conditions or do you have some rare events by design?
>
> Denis
>
> On Mon, Apr 17, 2017 at 11:30 AM Lyam Bailey <Lyam.Bailey at dal.ca> wrote:
>
>> Hi Alex,
>>
>>
>> Thanks for the tip! I'm glad you mentioned this because as it happens, I
>> don't have the same number of epochs for each condition. Can you suggest a
>> work around?
>>
>>
>> Regards
>>
>> Lyam
>>
>>
>> ---------------------------------------------------------
>>
>> Lyam Bailey, BSc.
>> Graduate Student
>> Department of Psychology & Neuroscience
>> Dalhousie University
>>
>> ------------------------------
>> *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 telecom-paristech.fr>
>> *Sent:* Tuesday, April 11, 2017 6:31:55 PM
>> *To:* Discussion and support forum for the users of MNE Software
>>
>> *Subject:* Re: [Mne_analysis] MNE source estimate analysis with multiple
>> conditions
>> > This would be dSPM(a) - dSPM(b).
>>
>> tiny detail: this will only be true if the two conditions have the
>> same number of epochs averaged in each condition.
>>
>> Alex
>> _______________________________________________
>> Mne_analysis mailing list
>> Mne_analysis at nmr.mgh.harvard.edu
>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>> Mne_analysis Info Page - Harvard University
>> <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis>
>> mail.nmr.mgh.harvard.edu
>> Mne_analysis -- Discussion and support forum for the users of MNE
>> Software About Mne_analysis
>>
>>
>>
>>
>> The information in this e-mail is intended only for the person to whom it
>> is
>> addressed. If you believe this e-mail was sent to you in error and the
>> e-mail
>> 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
>> properly
>> dispose of the e-mail.
>>
>> _______________________________________________
>> Mne_analysis mailing list
>> Mne_analysis at nmr.mgh.harvard.edu
>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>>
>>
>> The information in this e-mail is intended only for the person to whom it
>> is
>> addressed. If you believe this e-mail was sent to you in error and the
>> e-mail
>> 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
>> properly
>> dispose of the e-mail.
>>
>
>
> _______________________________________________
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>
>
> The information in this e-mail is intended only for the person to whom it
> is
> addressed. If you believe this e-mail was sent to you in error and the
> e-mail
> 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
> properly
> dispose of the e-mail.
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20170530/2392a2cd/attachment-0001.html 


More information about the Mne_analysis mailing list