[Mne_analysis] LCMV on raw data

[Marijn van Vliet]

Would it work if you just picked the source with maximum power? (computed for a sliding window across time)

> On 17 May 2018, at 15:20, Karin Westin <karin.westin85 at gmail.com> wrote:
> 
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> Ok thank you. If one wanted to retrieve data from only one source (an epileptic source) how should you do? That is not  only for epochs, but for continuous data? 
> 
> Karin
> 
> 2018-05-15 18:30 GMT+02:00 Marijn van Vliet <w.m.vanvliet at gmail.com>:
> Hi Karin,
> 
> pick_ori=‘max_power’ does not find the source point with maximum power, but for each source point, the *orientation* of maximum power. See this tutorial for more information about what I mean with the “orientation” of a source:
> 
> https://www.martinos.org/mne/stable/auto_tutorials/plot_dipole_orientations.html
> 
> The LCMV beamformer, applied to continuous data, will for each time point create a full source estimate for all source points along the cortex. So yes, you’ll be able to see the location of maximum power “move” along the cortex.
> 
> Hope that helps!
> 
> Marijn.
> 
> > On 15 May 2018, at 14:54, Karin Westin <karin.westin85 at gmail.com> wrote:
> > 
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> > Hi!
> > 
> > I hope my question is understandable... 
> > 
> > If one applies lcmv beamformer on raw data continous data (50 minutes of registration) and chooses pick_ori='max_power', will the output be a spatial filter of the maximum power source at each time point? That is, will the spatial filter "move" across the cortex if the cortical source of maximal power changes?  
> > 
> > Karin
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