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

[Alexandre Gramfort]

hi Alan,

if the demo aims to demonstrate inverse modeling with deep structures
I would put it in examples/inverse

Alex


On Mon, May 26, 2014 at 9:00 PM, Alan <leggitta3 at gmail.com> wrote:
> 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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