[Mne_analysis] t-test in source space?

[Alexandre Gramfort]

Hi Will,

you can use scipy.stats.ttest_* functions to do analytical
t-tests from source estimates.

mne-python does not reimplement these standard stats functions.

I am personally curious to know more about what you do
precisely (how many subjects, mne vs dSPM etc.)

and glad that you found your way with mne-python !

Cheers,
Alex

On Thu, Oct 6, 2011 at 4:36 PM, Graves, William <wgraves at mcw.edu> wrote:
> Dear MNE Experts,
>
> The new mne-python tools look really nice to me and show lots of promise, especially for adding statistical functionality to MNE. Unfortunately, even after trying to go through the examples, I can't figure out a way to do a t-test between conditions in source space.
>
> I would greatly appreciate any help or advice I could get with this.
>
> Thanks in advance,
> Will
>
> ---
> William W. Graves, Ph.D.
> Instructor, Department of Neurology
> Medical College of Wisconsin
> Center for Imaging Research, MEB 4670
> 8701 Watertown Plank Road
> Milwaukee, WI  53226
> voice:  414.456.4653
> fax:  414.456.6335
> http://www.neuro.mcw.edu/~wgraves/
>
>
>
>
> _______________________________________________
> 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.
>
>