[Mne_analysis] [mne-python] spatio temporal clustering stats

[sheraz at nmr.mgh.harvard.edu]

Hi Denis,

I have my equivalent Matlab code for spatio-temporal clustering, let me
know if this some thing you like to try.

Sheraz

> Apparently the figures got lost somewhere,
>
> here you can get them:
>
> https://www.dropbox.com/s/zyr3kuljn26firp/motor_sanity_check_lh.png
> https://www.dropbox.com/s/8ukmabsstu457zw/motor_sanity_check_rh.png
>
> Denis
>
>
> On Mon, Feb 4, 2013 at 2:51 PM, Denis-Alexander Engemann
> <d.engemann at fz-juelich.de<mailto:d.engemann at fz-juelich.de>> wrote:
> Apparently the visualizations were missing,
>
> Denis
>
>
> On Mon, Feb 4, 2013 at 2:49 PM, Denis-Alexander Engemann
> <d.engemann at fz-juelich.de<mailto:d.engemann at fz-juelich.de>> wrote:
> Hi everyone,
>
> I'm currently trying to adapt the python spatio-temporal clustering stats
> example to my own data.
> As a sanity check I started out with 168 right versus 168 left button
> presses, irrespective of the condition.
> Those yield the expected left-hemispheric blob when averaged over time
> slices and subjects (dSPM with regular default parameters), that's good.
> However, I'm now having a hard time to understand why the clustering
> test's p_values uniformly equal to 1.0. To me this does not seem like a
> 'natural' result. I hope I missed something obvious and trivial, but
> currently I don't see what it might be.
> Any pointers would be highly welcome.
>
> Cheers,
> Denis
>
> Here's an excerpt of the code I currently use:
> https://gist.github.com/dbacc6e4941ca1082540
>
> Also please find the average dSPM visualizations attached.
>
>
>
>
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