[Mne_analysis] lowpass filtering data in sensor or source space

[Matthew Panichello]

Hello,

I have used mne_compute_raw_inverse to produce the inverse solution for 
raw data, and loaded this data into matlab.

However, I have inspected the data and would like to lowpass filter the 
data further before extracting the statistics that I am interested in.

It seems like my options are to either low pass filter the raw sensor 
data further before computing the inverse solution, or to filter the 
source data directly in matlab. Is there any methodological reason to 
prefer one method over the other?

If filtering the source data in matlab is preferred (or if both methods 
are fine), could anyone recommend a particular filter type? I've looked 
into documentation for filtering in matlab and it seems like there are a 
tremendous amount of options.

Thanks,

-- 
Matthew Panichello
Research Coordinator, Bar Group
Massachusetts General Hospital
Phone: 617-726-9034

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