[Mne_analysis] Matrix mapping sensor to source

Karin Westin karin.westin85 at gmail.com
Wed May 16 11:05:43 EDT 2018
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Thanks!
I have continuous meg data from epilepsy patients and I would like to filter my data so that my output will be one continuous time series representing (as good as possible) the activity stemming only from the epileptic focus. Would it be possible to achieve this creating a spatial filter by multiplying K with a vector of dimension (306x1) with time point with maximum spike amplitude and then multiplying this “filter” with the raw data (resulting in one row vector reflecting activity in the source of spiking activity)?

Karin

> 15 maj 2018 kl. 20:28 skrev Alexandre Gramfort <alexandre.gramfort at inria.fr>:
> 
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> 
> hi,
> 
> look at matrix K as used here:
> 
> https://github.com/mne-tools/mne-python/blob/master/mne/minimum_norm/inverse.py#L930
> 
> HTH
> Alex
> 
> 
>> On Tue, May 15, 2018 at 4:47 PM, Karin Westin <karin.westin85 at gmail.com> wrote:
>>    External Email - Use Caution
>> 
>> Hi!
>> 
>> Is it possible to retrieve the matrix performing the mapping of sensor to
>> source space for MEG data?  That is not a function but an object that can be
>> treated as a matrix?
>> 
>> Best,
>> Karin
>> 
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