[Mne_analysis] GSoC Update: dSPM source reconstruction for the right amygdala in the SPM dataset

Alan leggitta3 at gmail.com
Mon May 26 15:00:38 EDT 2014
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Hi Alex,

Thanks. I will make that my next step. Where in the mne code structure
should I put this? I was thinking in under examples/datasets.

Alan


On Sat, May 24, 2014 at 5:43 AM, Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr> wrote:

> hi Alan,
>
> nice work !
>
> I have a few comments to make on the code so a PR on github would allow
> me to comment inline.
>
> Regarding the approach, it does what it is supposed to do in a pretty
> elegant way, but
> it is dangerous to only run the inverse method on such a tiny
> source space. An activation from the cortex would necessarily be projected
> to the amygdala. My hunch, is that an LCMV beamformer would suffer
> less from this.
>
> I think the next step would be to be able to combine a surface source space
> and the deep volume source space you create.
>
> best,
> Alex
>
>
> On Sat, May 24, 2014 at 1:10 AM, Alan <leggitta3 at gmail.com> wrote:
> > Hello,
> >
> > I worked through creating a discrete source space of the right amygdala
> and
> > performing dSPM source reconstruction in the SPM dataset. My code is
> > available on my GSoC blog.
> >
> >
> http://misterbrainley.blogspot.com/2014/05/day-5-putting-it-together.html
> >
> > I've attached a copy of the results for data filtered between 1-45 hz.
> The
> > grey region indicates statistical significance using an independent
> t-test
> > with fdr correction.
> >
> > I would greatly appreciate any feedback you could offer.
> >
> > Thanks!
> > Alan
> >
> >
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